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Yang S, Pi J, Ma W, Gu W, Zhang H, Xu A, Liu Y, Shi T, Yang F, Chen L. Prognostic value of the fibrinogen-to-albumin ratio (FAR) in patients with chronic heart failure across the different ejection fraction spectrum. Libyan J Med 2024; 19:2309757. [PMID: 38290043 PMCID: PMC10829812 DOI: 10.1080/19932820.2024.2309757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/19/2024] [Indexed: 02/01/2024] Open
Abstract
The ratio of fibrinogen to albumin (FAR) is considered a new inflammatory biomarker and a predictor of cardiovascular disease risk. However, its prognostic value for patients with chronic heart failure (CHF) with different ejection fractions (EFs) remains unclear. A total of 916 hospitalized patients with CHF from January 2017 to October 2021 in the First Affiliated Hospital of Kunming Medical University were included in the study. Death occurred in 417 (45.5%) patients out of 916 patients during a median follow-up time of 750 days. Among these patients, 381 patients suffered from HFrEF (LVEF <40%) and 535 patients suffered from HFpEF or HFmrEF (HFpEF plus HFmrEF, LVEF ≥ 40%). Patients were categorized into high-level FAR (FAR-H) and low-level FAR (FAR-L) groups based on the optimal cut-off value of FAR (9.06) obtained from receiver operating characteristic (ROC) curve analysis. Upon analysing the Kaplan - Meier plots, the incidence of death was significantly higher in all patients with FAR-H and patients in both HF subgroups (p < 0.001). The multivariate Cox proportional hazard analyses indicated that the FAR was an independent predictor of all-cause mortality, regardless of heart failure subtype. (HR 1.115, 95% CI 1.089-1.142, p < 0.001; HFpEF plus HFmrEF, HR 1.109, 95% CI 1.074-1.146, p < 0.0001; HFrEF, HR 1.138, 95% CI 1.094-1.183, p < 0.0001) The optimal cut-off value of FAR in predicting all-cause mortality was 9.06 with an area under the curve value of 0.720 (95% CI: 0.687-0.753, p < 0.001), a sensitivity of 68.8% and a specificity of 65.6%. After adjusting for the traditional indicators (LVEF, Lg BNP, etc.), the new model with the FAR had better prediction ability in patients with CHF. Elevated FAR is an independent predictor of death in CHF and is not related to the HF subtype.
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Affiliation(s)
- Sirui Yang
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Jiangyuan Pi
- Graduate School of Kunming Medical University, Kunming, China
| | - Wenfang Ma
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Wenyi Gu
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Hongxing Zhang
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Anyu Xu
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Yanqing Liu
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Tao Shi
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Fazhi Yang
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
| | - Lixing Chen
- Department of Cardiology, Kunming Medical University First Affiliated Hospital, Kunming, China
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Lin Z, Ge H, Guo Q, Ren J, Gu W, Lu J, Zhong Y, Qiang J, Gong J, Li H. MRI-based radiomics model to preoperatively predict mesenchymal transition subtype in high-grade serous ovarian cancer. Clin Radiol 2024; 79:e715-e724. [PMID: 38342715 DOI: 10.1016/j.crad.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/04/2024] [Accepted: 01/12/2024] [Indexed: 02/13/2024]
Abstract
AIM To develop a magnetic resonance imaging (MRI)-based radiomics model for the preoperative identification of mesenchymal transition (MT) subtype in high-grade serous ovarian cancer (HGSOC). MATERIALS AND METHODS One hundred and eighty-nine patients with histopathologically confirmed HGSOC were enrolled retrospectively. Among the included patients, 55 patients were determined as the MT subtype and the remaining 134 were non-MT subtype. After extracting a total of 204 features from T2-weighted imaging (T2WI) and contrast-enhanced (CE)-T1WI images, the Mann-Whitney U-test, Spearman correlation test, and Boruta algorithm were adopted to select the optimal feature set. Three classifiers, including logistic regression (LR), support vector machine (SVM), and random forest (RF), were trained to develop radiomics models. The performance of established models was evaluated from three aspects: discrimination, calibration, and clinical utility. RESULTS Seven radiomics features relevant to MT subtypes were selected to build the radiomics models. The model based on the RF algorithm showed the best performance in predicting MT subtype, with areas under the curves (AUCs) of 0.866 (95 % confidence interval [CI]: 0.797-0.936) and 0.852 (95 % CI: 0.736-0.967) in the training and testing cohorts, respectively. The calibration curves, supported with Brier scores, indicated very good consistency between observation and prediction. Decision curve analysis (DCA) showed that the RF-based model could provide more net benefit, which suggested favorable utility in clinical application. CONCLUSION The RF-based radiomics model provided accurate identification of MT from the non-MT subtype and may help facilitate personalised management of HGSOC.
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Affiliation(s)
- Z Lin
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, China
| | - H Ge
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Q Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - J Ren
- Department of Pharmaceuticals Diagnostics, GE HealthCare, Beijing 100176, China
| | - W Gu
- Department of Pathology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai 200090, China
| | - J Lu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Y Zhong
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, China
| | - J Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, China.
| | - J Gong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - H Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
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Li Z, Jin S, Xu T, Chen H, Cai W, Du J, Qiu J, Zhuang S, Qi Y, Gu W, Pang L. Effects of Seipin on Mouse Mesenchymal Stem Cell Osteo-Adipogenic Balance. Stem Cells Dev 2024; 33:177-188. [PMID: 38386508 DOI: 10.1089/scd.2023.0107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024] Open
Abstract
Seipin deficiency is an important cause of type 2 Berardinelli-Seip congenital dyslipidemia (BSCL2). BSCL2 is a severe lipodystrophy syndrome with lack of adipose tissue, hepatic steatosis, insulin resistance, and normal or higher bone mineral density. Bone marrow mesenchymal stem cells (BMSCs) are believed to maintain bone and fat homeostasis by differentiating into osteoblasts and adipocytes. We aimed to explore the role of seipin in the osteogenic/adipogenic differentiation balance of BMSCs. Seipin loxP/loxP mice are used to explore metabolic disorders caused by seipin gene mutations. Compared with wild-type mice, subcutaneous fat deficiency and ectopic fat accumulation were higher in seipin knockout mice. Microcomputed tomography of the tibia revealed the increased bone content in seipin knockout mice. We generated seipin-deficient BMSCs in vitro and revealed that lipogenic genes are downregulated and osteogenic genes are upregulated in seipin-deficient BMSCs. In addition, peroxisome proliferator-activated receptor gamma (PPARγ) signaling is reduced in seipin-deficient BMSCs, while using the PPARγ activator increased the lipogenic differentiation and decreased osteogenic differentiation of seipin-deficient BMSCs. Our findings indicated that bone and lipid metabolism can be regulated by seipin through modulating the differentiation of mesenchymal stem cells. Thus, a new insight of seipin mutations in lipid metabolism disorders was revealed, providing a prospective strategy for MSC transplantation-based treatment of BSCL2.
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Affiliation(s)
- Zeying Li
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Shan Jin
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Tong Xu
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Hongzhi Chen
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University) Shihezi, China
- Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, China
| | - Wenping Cai
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Jin Du
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Jin Qiu
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Sihui Zhuang
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Yan Qi
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Australia
| | - Lijuan Pang
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
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Mücke MM, Hernández-Tejero M, Gu W, Kuhn M, Janz M, Keller MI, Fullam A, Altepeter L, Mücke VT, Finkelmeier F, Schwarzkopf KM, Cremonese C, Hunyady PM, Heilani MW, Uschner FE, Schierwagen R, Brol MJ, Fischer J, Klein S, Peiffer KH, Hogardt M, Shoaie S, Coenraad MJ, Bojunga J, Arroyo V, Zeuzem S, Kempf VAJ, Welsch C, Laleman W, Bork P, Fernandez J, Trebicka J. Terlipressin therapy is associated with increased risk of colonisation with multidrug-resistant bacteria in patients with decompensated cirrhosis. Aliment Pharmacol Ther 2024; 59:877-888. [PMID: 38414095 DOI: 10.1111/apt.17899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/20/2023] [Accepted: 01/28/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Patients with cirrhosis are susceptible to develop bacterial infections that trigger acute decompensation (AD) and acute-on-chronic liver failure (ACLF). Infections with multidrug-resistant organisms (MDRO) are associated with deleterious outcome. MDRO colonisation frequently proceeds MDRO infections and antibiotic therapy has been associated with MDRO colonisation. AIM The aim of the study was to assess the influence of non-antibiotic medication contributing to MDRO colonisation. METHODS Three hundred twenty-four patients with AD and ACLF admitted to the ICU of Frankfurt University Hospital with MDRO screening were included. Regression models were performed to identify drugs associated with MDRO colonisation. Another cohort (n = 129) from Barcelona was included to validate. A third multi-centre cohort (n = 203) with metagenomic sequencing data of stool was included to detect antibiotic resistance genes. RESULTS A total of 97 patients (30%) were identified to have MDRO colonisation and 35 of them (11%) developed MDRO infection. Patients with MDRO colonisation had significantly higher risk of MDRO infection than those without (p = 0.0098). Apart from antibiotic therapy (odds ratio (OR) 2.91, 95%-confidence interval (CI) 1.82-4.93, p < 0.0001), terlipressin therapy in the previous 14 days was the only independent covariate associated with MDRO colonisation in both cohorts, the overall (OR 9.47, 95%-CI 2.96-30.23, p < 0.0001) and after propensity score matching (OR 5.30, 95%-CI 1.22-23.03, p = 0.011). In the second cohort, prior terlipressin therapy was a risk factor for MDRO colonisation (OR 2.49, 95% CI 0.911-6.823, p = 0.075) and associated with risk of MDRO infection during follow-up (p = 0.017). The validation cohort demonstrated that antibiotic inactivation genes were significantly associated with terlipressin administration (p = 0.001). CONCLUSIONS Our study reports an increased risk of MDRO colonisation in patients with AD or ACLF, who recently received terlipressin therapy, while other commonly prescribed non-antibiotic co-medications had negligible influence. Future prospective trials are needed to confirm these results.
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Affiliation(s)
- Marcus M Mücke
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - María Hernández-Tejero
- Liver ICU, Liver Unit, Hospital Clinic, University of Barcelona, IDIBAPS and CIBERehd, Barcelona, Spain
| | - Wenyi Gu
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Michael Kuhn
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Malte Janz
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Marisa I Keller
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Anthony Fullam
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Laura Altepeter
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Victoria T Mücke
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Fabian Finkelmeier
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Katharina M Schwarzkopf
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Carla Cremonese
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Peter-Merton Hunyady
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Myriam W Heilani
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Frank Erhard Uschner
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Robert Schierwagen
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Maximilian J Brol
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Julia Fischer
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Sabine Klein
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Kai-Henrik Peiffer
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
| | - Michael Hogardt
- Institute of Medical Microbiology and Infection Control, Goethe University Frankfurt, Germany University Center for Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
- University Center of Competence for Infection Control, State of Hesse, Germany
| | - Saeed Shoaie
- Centre for Host-Microbiome Interactions, Dental Institute, King's College London, London, UK
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Minneke J Coenraad
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jörg Bojunga
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Vicente Arroyo
- European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
| | - Stefan Zeuzem
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Volkhard A J Kempf
- Institute of Medical Microbiology and Infection Control, Goethe University Frankfurt, Germany University Center for Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
- University Center of Competence for Infection Control, State of Hesse, Germany
| | - Christoph Welsch
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Wim Laleman
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
- Department of Gastroenterology & Hepatology, Section of Liver and Biliopancreatic Disorders, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Javier Fernandez
- Liver ICU, Liver Unit, Hospital Clinic, University of Barcelona, IDIBAPS and CIBERehd, Barcelona, Spain
- European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
| | - Jonel Trebicka
- Medical Clinic 1, University Hospital, Goethe-University Frankfurt, Frankfurt am Main, Germany
- Department of Internal Medicine B, Muenster University Clinic, University of Münster, Münster, Germany
- European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
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Gu W, Zhou Y, Hua B, Ma W, Dong L, Shi T, Zou J, Zhu N, Chen L. Predictive value of the prognostic nutritional index combined with serum chloride levels for the prognosis of patients with acute decompensated heart failure. Heart Vessels 2024:10.1007/s00380-024-02381-x. [PMID: 38502317 DOI: 10.1007/s00380-024-02381-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/21/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND The prognostic nutritional index (PNI) and serum chloride level are related to adverse outcomes in patients with heart failure. However, little is known about the relationship between the PNI and serum chloride level in predicting the poor prognosis of patients with acute decompensated heart failure (ADHF). METHODS AND RESULTS We reviewed 1221 consecutive patients with ADHF admitted to the First Affiliated Hospital of Kunming Medical University from January 2017 to October 2021. After excluding patients with in hospital death, missing follow-up data, missing chloride data, missing lymphocyte (LYM) count data, or missing serum albumin data, 805 patients were included. PNI was calculated using the formula: serum albumin (ALB) (g/L) + 5 × LYM count (10^9/L). Patients were divided into 4 groups according to the quartiles of the PNI, and the highest PNI quartile (PNI Q4: PNI ≥ 47.3) was set as the reference group. The patients in the lowest PNI quartile (PNI Q1: PNI < 40.8) had the lowest cumulative survival rate, and mortality risk decreased progressively through the quartiles (log-rank χ2 142.283, P < 0.0001). Patients with ADHF were divided into 8 groups by quartiles of PNI and median levels of serum chloride. After adjustment, the hazard ratio (HR) for all-cause mortality in ADHF patients in Group 1 was 8.7 times higher than that in the reference Group 8. Furthermore, the addition of serum chloride level and PNI quartile to the Cox model increased the area under the Receiver operating characteristic (ROC) curve by 0.05, and the area under the ROC curve of the new model was higher than that of the original model with traditional risk factors. CONCLUSIONS Both the lowest PNI quartiles and low chloride level indicate a higher risk of all-cause death in patients with ADHF.
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Affiliation(s)
- Wenyi Gu
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Yanji Zhou
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Baotong Hua
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Wenfang Ma
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Ling Dong
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Tao Shi
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Jie Zou
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Na Zhu
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Lixing Chen
- Kunming Medical University First Affiliated Hospital, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China.
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Li F, Cao D, Gu W, Li D, Liu Z, Cui L. Folate-Targeted Nanocarriers Co-Deliver Ganciclovir and miR-34a-5p for Combined Anti-KSHV Therapy. Int J Mol Sci 2024; 25:2932. [PMID: 38474177 DOI: 10.3390/ijms25052932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/13/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Kaposi's sarcoma-associated herpesvirus (KSHV) can cause a variety of malignancies. Ganciclovir (GCV) is one of the most efficient drugs against KSHV, but its non-specificity can cause other side effects in patients. Nucleic acid miR-34a-5p can inhibit the transcription of KSHV RNA and has great potential in anti-KSHV therapy, but there are still problems such as easy degradation and low delivery efficiency. Here, we constructed a co-loaded dual-drug nanocomplex (GCV@ZIF-8/PEI-FA+miR-34a-5p) that contains GCV internally and adsorbs miR-34a-5p externally. The folic acid (FA)-coupled polyethyleneimine (PEI) coating layer (PEI-FA) was shown to increase the cellular uptake of the nanocomplex, which is conducive to the enrichment of drugs at the KSHV infection site. GCV and miR-34a-5p are released at the site of the KSHV infection through the acid hydrolysis characteristics of ZIF-8 and the "proton sponge effect" of PEI. The co-loaded dual-drug nanocomplex not only inhibits the proliferation and migration of KSHV-positive cells but also decreases the mRNA expression level of KSHV lytic and latent genes. In conclusion, this co-loaded dual-drug nanocomplex may provide an attractive strategy for antiviral drug delivery and anti-KSHV therapy.
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Affiliation(s)
- Fangling Li
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi 832002, China
- State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, School of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China
| | - Dongdong Cao
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi 832002, China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), University of Queensland (UQ), Corner College and Cooper Roads (Building 75), Brisbane, QLD 4072, Australia
| | - Dongmei Li
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi 832002, China
| | - Zhiyong Liu
- State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, School of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China
| | - Lin Cui
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi 832002, China
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Kühl N, Vollenberg R, Meier JA, Ullerich H, Schulz MS, Rennebaum F, Laleman W, Froböse NJ, Praktiknjo M, Peiffer K, Fischer J, Trebicka J, Gu W, Tepasse PR. Risk Factors for Infectious Complications following Endoscopic Retrograde Cholangiopancreatography in Liver Transplant Patients: A Single-Center Study. J Clin Med 2024; 13:1438. [PMID: 38592264 PMCID: PMC10934434 DOI: 10.3390/jcm13051438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 04/10/2024] Open
Abstract
Background: Liver transplant recipients often require endoscopic retrograde cholangiopancreatography (ERCP) for biliary complications, which can lead to infections. This retrospective single-center study aimed to identify risk factors for infectious complications following ERCP in liver transplant patients. Methods: A retrospective analysis was conducted on 285 elective ERCP interventions performed in 88 liver transplant patients at a tertiary care center. The primary endpoint was the occurrence of an infection following ERCP. Univariable and multivariable regression analyses, Cox regression, and log-rank tests were employed to assess the influence of various factors on the incidence of infectious complications. Results: Among the 285 ERCP interventions, isolated anastomotic stenosis was found in 175 cases, ischemic type biliary lesion (ITBL) in 103 cases, and choledocholithiasis in seven cases. Bile duct interventions were performed in 96.9% of all ERCPs. Infections after ERCP occurred in 46 cases (16.1%). Independent risk factors for infection included male sex (OR 24.19), prednisolone therapy (OR 4.5), ITBL (OR 4.51), sphincterotomy (OR 2.44), cholangioscopy (OR 3.22), dilatation therapy of the bile ducts (OR 9.48), and delayed prophylactic antibiotic therapy (>1 h after ERCP) (OR 2.93). Additionally, infections following previous ERCP interventions were associated with an increased incidence of infections following future ERCP interventions (p < 0.0001). Conclusion: In liver transplant patients undergoing ERCP, male sex, prednisolone therapy, and complex bile duct interventions independently raised infection risks. Delayed antibiotic treatment further increased this risk. Patients with ITBL were notably susceptible due to incomplete drainage. Additionally, a history of post-ERCP infections signaled higher future risks, necessitating close monitoring and timely antibiotic prophylaxis.
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Affiliation(s)
- Norman Kühl
- University of Münster, 48149 Münster, Germany;
| | - Richard Vollenberg
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Jörn Arne Meier
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Hansjörg Ullerich
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Martin Sebastian Schulz
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Florian Rennebaum
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Wim Laleman
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, KU Leuven, 3000 Leuven, Belgium
| | - Neele Judith Froböse
- Institute of Medical Microbiology, University Hospital Muenster, 48149 Münster, Germany;
| | - Michael Praktiknjo
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Kai Peiffer
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Julia Fischer
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Jonel Trebicka
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Wenyi Gu
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
| | - Phil-Robin Tepasse
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (R.V.); (J.A.M.); (H.U.); (M.S.S.); (F.R.); (W.L.); (M.P.); (K.P.); (J.F.); (J.T.); (W.G.)
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8
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Thorhauge KH, Semmler G, Johansen S, Lindvig KP, Kjærgaard M, Hansen JK, Torp N, Hansen CD, Andersen P, Hofer BS, Gu W, Israelsen M, Mandorfer M, Reiberger T, Trebicka J, Thiele M, Krag A. Using liver stiffness to predict and monitor the risk of decompensation and mortality in patients with alcohol-related liver disease. J Hepatol 2024:S0168-8278(24)00139-9. [PMID: 38428644 DOI: 10.1016/j.jhep.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 02/07/2024] [Accepted: 02/16/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND & AIMS Liver stiffness measurement (LSM) is recommended for disease prognostication and monitoring. We evaluated if LSM, using transient elastography, and LSM changes predict decompensation and mortality in patients with alcohol-related liver disease (ALD). METHODS We performed an observational cohort study of compensated patients at risk of ALD from Denmark and Austria. We evaluated the risk of decompensation and all-cause mortality, stratified for compensated advanced chronic liver disease (cACLD: baseline LSM ≥10 kPa) and LSM changes after a median of 2 years. In patients with cACLD, we defined LSM changes as (A) LSM increase ≥20% ("cACLD increasers") and (B) follow-up LSM <10 kPa or <20 kPa with LSM decrease ≥20% ("cACLD decreasers"). In patients without cACLD, we defined follow-up LSM ≥10 kPa as an LSM increase ("No cACLD increasers"). The remaining patients were considered LSM stable. RESULTS We followed 536 patients for 3,008 patient-years, median age 57 years (IQR 49-63), baseline LSM 8.1 kPa (IQR 4.9-21.7). 371 patients (69%) had follow-up LSM after a median of 25 months (IQR 17-38), 41 subsequently decompensated and 55 died. Of 125 with cACLD at baseline, 14% were "cACLD increasers" and 43% "cACLD decreasers", while 13% of patients without cACLD were "No cACLD increasers" (n = 33/246). Baseline LSM, follow-up LSM and LSM changes accurately predicted decompensation (C-index: baseline LSM 0.85; follow-up LSM 0.89; LSM changes 0.85) and mortality (C-index: baseline LSM 0.74; follow-up LSM 0.74; LSM changes 0.70). When compared to "cACLD decreasers", "cACLD increasers" had significantly lower decompensation-free survival and higher risks of decompensation (subdistribution hazard ratio 4.39, p = 0.004) and mortality (hazard ratio 3.22, p = 0.01). CONCLUSION LSM by transient elastography predicts decompensation and all-cause mortality in patients with compensated ALD both at diagnosis and when used for monitoring. IMPACT AND IMPLICATIONS Patients at risk of alcohol-related liver disease (ALD) are at significant risk of progressive disease and adverse outcomes. Monitoring is essential for optimal disease surveillance and patient guidance, but non-invasive monitoring tools are lacking. In this study we demonstrate that liver stiffness measurement (LSM), using transient elastography, and LSM changes after a median of 2 years, can predict decompensation and all-cause mortality in patients at risk of ALD with and without compensated advanced chronic liver disease. These findings are in line with results from non-alcoholic fatty liver disease, hepatitis C and primary sclerosing cholangitis, and support the clinical utility of LSM, using transient elastography, for disease prognostication and monitoring in chronic liver diseases including ALD, as recommended by the Baveno VII.
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Affiliation(s)
- Katrine Holtz Thorhauge
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Georg Semmler
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Spitalgasse 23 A-1090 Vienna, Austria
| | - Stine Johansen
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Katrine Prier Lindvig
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Maria Kjærgaard
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Johanne Kragh Hansen
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Nikolaj Torp
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Camilla Dalby Hansen
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Peter Andersen
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Benedikt Silvester Hofer
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Spitalgasse 23 A-1090 Vienna, Austria
| | - Wenyi Gu
- Department of Internal Medicine B, Münster University Hospital, University of Münster, Münster, Germany
| | - Mads Israelsen
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Mattias Mandorfer
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Spitalgasse 23 A-1090 Vienna, Austria
| | - Thomas Reiberger
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Spitalgasse 23 A-1090 Vienna, Austria
| | - Jonel Trebicka
- Department of Internal Medicine B, Münster University Hospital, University of Münster, Münster, Germany
| | - Maja Thiele
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
| | - Aleksander Krag
- Fibrosis, Fatty Liver and Steatohepatitis Research Center Odense (FLASH), Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
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9
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Brol MJ, Drebber U, Yu X, Schierwagen R, Gu W, Plamper A, Klein S, Odenthal M, Uschner FE, Praktiknjo M, Trebicka J, Rheinwalt KP. Stage of fibrosis is not a predictive determinant of weight loss in patients undergoing bariatric surgery. Surg Obes Relat Dis 2024:S1550-7289(24)00078-9. [PMID: 38522962 DOI: 10.1016/j.soard.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/29/2024] [Accepted: 02/17/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Obesity and nonalcoholic fatty liver disease (NAFLD) are an increasing health care burden worldwide. Weight loss is currently the best option to alleviate NAFLD and is efficiently achieved by bariatric surgery. Presence of NAFLD seems to be predictive for postoperative weight loss. To date, only few predictive factors for postbariatric weight loss (age, diabetes, psychiatric disorders) are established. OBJECTIVES Since liver fibrosis is the pathogenic driver for the progression of liver disease, we investigated its role in predicting postoperative weight loss. This study focuses on the correlation between fibrosis stage and weight loss. SETTING University and university-affiliated cooperation, Germany. METHODS We used a prospective, single-center cohort study including 164 patients who underwent bariatric surgery with simultaneous liver biopsies. Liver fibrosis was determined histologically according to Kleiner score and noninvasively by APRI and FIB-4 score. Percentage of total body weight loss was calculated at 1-year follow up visit. RESULTS Thirty-two patients were found without fibrosis, whereas 91 patients showed mild fibrosis (F1), 37 significant fibrosis (F2), and only 4 patients presented advanced fibrosis (F3) at the time of bariatric surgery. Weight loss was similar across different degrees of fibrosis stage. Accordingly, linear regression analysis did not identify predictors of weight loss among fibrosis scores. In multivariable analysis, age and presence of diabetes showed the strongest predictive value. CONCLUSIONS Baseline presence of fibrosis was not associated with postoperative weight loss, while age and diabetes were independent predictors of weight loss. Bariatric surgery should be applied independently of the fibrosis stage.
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Affiliation(s)
| | - Uta Drebber
- Department of Pathology, University Hospital of Cologne and Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Xiaojie Yu
- Department of Pathology, University Hospital of Cologne and Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Robert Schierwagen
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Wenyi Gu
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Andreas Plamper
- Department of Bariatric, Metabolic, and Plastic Surgery, St. Franziskus-Hospital, Cologne, Germany
| | - Sabine Klein
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Margarete Odenthal
- Department of Pathology, University Hospital of Cologne and Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | | | - Michael Praktiknjo
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Jonel Trebicka
- Department of Internal Medicine B, University of Münster, Münster, Germany; European Foundation for the Study of Chronic Liver Failure-EF Clif, Barcelona, Spain.
| | - Karl Peter Rheinwalt
- Department of Bariatric, Metabolic, and Plastic Surgery, St. Franziskus-Hospital, Cologne, Germany
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10
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Jiang D, Zhang X, Chen W, Peng R, Zhang X, Gao F, Huang Y, Gu W, Hou Y. Abnormal p16 expression and prognostic significance in esophageal squamous cell carcinoma. Histol Histopathol 2024; 39:201-209. [PMID: 37132443 DOI: 10.14670/hh-18-619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND The purpose of this study was to analyze p16 expression status and evaluate whether abnormal p16 expression was associated with prognosis in a large-scale esophageal squamous cell carcinoma (ESCC) cohort of patients. METHODS We retrospectively evaluated p16 expression status of 525 ESCC samples using immunohistochemistry. Associations between abnormal p16 expression and survival were analyzed. RESULTS P16 negative, focal expression and overexpression were found in 87.6%, 6.9% and 5.5% of ESCC patients. No significant association was observed between abnormal p16 expression and age, sex, tumor site and location, differentiation, vessel and nerve invasion, T stage and lymph node metastasis. In all patients, the survival of p16 focal expression group tended to be better compared with negative group (disease free survival/DFS P=0.040 and overall survival/OS P=0.052) and overexpression group (DFS P=0.201 and OS P=0.258), and there was no survival difference between negative group and overexpression group. The multivariate analysis for OS and DFS found that only clinical stage was a significantly independent prognostic factor (P<0.001). When patients were divided into I-II stage (n=290) and III-IVa stage (n=235), the survival of focal expression group was better compared with negative group (DFS P=0.015 and OS P=0.019), and tended to be better compared with overexpression group (DFS P=0.405 and OS P=0.432) in I-II stage ESCC, which was not found in III-IVa stage ESCC. CONCLUSION P16 overexpression or negative expression tend to be associated with unfavorable outcomes, especially in I-II stage ESCC. Our study will help to identify a subgroup of ESCC patients with excellent prognosis after surgical therapy.
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Affiliation(s)
- Dongxian Jiang
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, PR China
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Xue Zhang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Weijie Chen
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Rui Peng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Xiaolei Zhang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Feng Gao
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Yufeng Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Wenyi Gu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Yingyong Hou
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, PR China
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, PR China
- Department of Pathology, School of Basic Medical Sciences and Zhongshan Hospital, Fudan University, Shanghai, PR China.
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11
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Abratenko P, Alterkait O, Andrade Aldana D, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow D, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Brunetti MB, Camilleri L, Cao Y, Caratelli D, Cavanna F, Cerati G, Chappell A, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Cross R, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Englezos P, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Franco D, Furmanski AP, Gao F, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Imani Z, Irwin B, Ismail M, James C, Ji X, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Liu H, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Martynenko S, Mastbaum A, Mawby I, McConkey N, Meddage V, Micallef J, Miller K, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Moudgalya MM, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Pophale I, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Safa I, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, St John J, Strauss T, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector. Phys Rev Lett 2024; 132:041801. [PMID: 38335355 DOI: 10.1103/physrevlett.132.041801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 11/30/2023] [Indexed: 02/12/2024]
Abstract
We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's main injector corresponding to a total exposure of 7.01×10^{20} protons on target. We set upper limits at the 90% confidence level on the mixing parameter |U_{μ4}|^{2} in the mass ranges 10≤m_{HNL}≤150 MeV for the νe^{+}e^{-} channel and 150≤m_{HNL}≤245 MeV for the νπ^{0} channel, assuming |U_{e4}|^{2}=|U_{τ4}|^{2}=0. These limits represent the most stringent constraints in the mass range 35
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - O Alterkait
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - D Barrow
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Michigan State University, East Lansing, Michigan 48824, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- University of Chicago, Chicago, Illinois 60637, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - M B Brunetti
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - Y Cao
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Chappell
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | | | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - R Cross
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | - P Englezos
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - A Ereditato
- University of Chicago, Chicago, Illinois 60637, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- University of Chicago, Chicago, Illinois 60637, USA
| | - D Franco
- University of Chicago, Chicago, Illinois 60637, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - F Gao
- University of California, Santa Barbara, California 93106, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - E Gramellini
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Green
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Gu
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- University of Chicago, Chicago, Illinois 60637, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - Z Imani
- Tufts University, Medford, Massachusetts 02155, USA
| | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - M Ismail
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Nankai University, Nankai District, Tianjin 300071, China
| | - J H Jo
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - H Liu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Viriginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - S Martynenko
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - I Mawby
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N McConkey
- University College London, London WC1E 6BT, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Micallef
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M M Moudgalya
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - N Oza
- Columbia University, New York, New York 10027, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - I Safa
- Columbia University, New York, New York 10027, USA
| | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- University of Chicago, Chicago, Illinois 60637, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - W Wu
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Zhou J, Ma W, Wan Y, Zhou Y, Wan W, Gu W, Li H, Xu C, Chen L. Predictive value of the HB/RDW ratio for the risk of all-cause death in patients with heart failure with different ejection fractions. Cardiology 2024:000536440. [PMID: 38262371 DOI: 10.1159/000536440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 01/22/2024] [Indexed: 01/25/2024]
Abstract
INTRODUCTION The prognostic value of the ratio of haemoglobin to red cell distribution width (HRR) in different types of heart failure (HF) is not well known. METHOD AND RESULTS We analysed the long-term prognostic value of HRR in patients with HF using the Cox proportional risk model and Kaplan‒Meier method. We reviewed consecutive 972 HF patients. The overall mortality rate was 45.68%. Mortality was 52.22% in the HFrEF group and 40.99% in the HFpEF+HFmrEF group. Cox regression showed that when HRR increased by 1 unit, the risk of all-cause death in all HF patients decreased by 22.8% (HR: 0.772, 95% CI (0.724, 0.823, p<0.001), in the HFpEF+HFmrEF group it decreased by 15.5% (HR: 0.845, 95% CI (0.774, 0.923), p<0.001), and in the HFrEF group it decreased by 36.1% (HR: 0.639, 95% CI (0.576, 0.709), p<0.0001). Subgroup analysis showed that there were interactions between the EF and HRR groups. The group in which HRR best predicted all-cause death from HF was Group 1 (EF<40%, HRR<9.45), followed by Group 2 (EF<40%, HRR≥9.45) and Group 3 (EF≥40%, HRR<9.45). HRR had no predictive value in Group 4 (EF≥40%, HRR≥9.45). CONCLUSION HRR is an important predictor of all-cause mortality in patients with HF, especially HFrEF. There is an interaction between HRR group and LVEF group.
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Yang F, Zhang L, Huang W, Liu D, Yang Y, Gu W, Shi T, Yang S, Chen L. Clinical prognostic impact of C-NLR in heart failure patients with different ejection fractions: a retrospective study. BMC Cardiovasc Disord 2024; 24:54. [PMID: 38233747 PMCID: PMC10795460 DOI: 10.1186/s12872-024-03714-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 01/05/2024] [Indexed: 01/19/2024] Open
Abstract
OBJECTION Inflammatory conditions and immune disorders may worsen the prognosis of chronic heart failure (CHF) patients. The aim of this study was to evaluate the prognostic value of a new indicator, C-NLR, composed of C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR), for the risk of all-cause mortality in HF patients with different ejection fractions. METHODS A total of 1221 CHF patients admitted to the First Affiliated Hospital of Kunming Medical University from January 2017 to October 2021 were enrolled in this study. All patients were divided into 2 groups according to the median C-NLR. Kaplan-Meier survival curves were used to compare the all-cause mortality among CHF patients with different ejection fractions. Cox proportional hazards analysis was used to evaluate the relationships between variables and mortality. The predictive value of the C-NLR was assessed by using receiver operating characteristic (ROC) analyses. RESULTS We collected data from 1192 patients with CHF. Kaplan-Meier survival analysis revealed that patients with low LCR levels had better overall survival (OS). After multivariate adjustment Cox proportional hazards analysis, the level of C-NLR was still independently related to mortality. CONCLUSIONS C-NLR was a competent independent predictor in HF with different ejection fractions, and routine measurement of C-NLR would help clinical doctors identify patients with a poor prognosis.
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Affiliation(s)
- Fazhi Yang
- Department of Cardiology, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Lihua Zhang
- Department of General Medicine, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Wei Huang
- Department of Geriatrics, The Third People's Hospital of Yunnan Province, City, Kunming, Yunnan Province, China
| | - Dajin Liu
- Medical Records and Statistics Department, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Yunhong Yang
- Department of Cardiology, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Wenyi Gu
- Department of Cardiology, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Tao Shi
- Department of Cardiology, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Sirui Yang
- Department of Cardiology, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China
| | - Lixing Chen
- Department of Cardiology, Kunming Medical University First Affilliated Hospital, City, Kunming, Yunnan Province, China.
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Xu H, Huang J, Yao L, Gu W, Ruzi A, Ding Y, Li Y, Liang W, Jiang J, Pan Z, Cao D, Zhou N, Li D, Zhang J. An Essential Role of c-Fos in Notch1-mediated Promotion of Proliferation of KSHV-Infected SH-SY5Y Cells. Curr Mol Pharmacol 2024; 17:CMP-EPUB-137219. [PMID: 38258595 DOI: 10.2174/0118761429264583231106104202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/24/2023] [Accepted: 09/26/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND This study aimed to investigate the influence of Notch1 on c-Fos and the effect of c-Fos on the proliferation of Kaposi's sarcoma-associated herpesvirus (KSHV)-infected neuronal cells. METHODS Real-time PCR and western blotting were used to determine c-Fos expression levels in KSHV-infected (SK-RG) and uninfected SH-SY5Y cells. C-Fos levels were measured again in SK-RG cells with or without Notch1 knockdown. Next, we measured c-Fos and p-c-Fos concentrations after treatment with the Notch1 γ-secretase inhibitor LY-411575 and the Notch1 activator Jagged-1. MTT and Ki-67 staining were used to evaluate the proliferation ability of cells after c-Fos levels downregulation. CyclinD1, CDK6, and CDK4 expression levels and cell cycle were analyzed by western blotting and flow cytometry, respectively. After the c-Fos intervention, the KSHV copy number and gene expression of RTA, LANA and K8.1 were analyzed by real-time TaqMan PCR. RESULTS C-Fos was up-regulated in KSHV-infected SK-RG cells. However, the siRNA-mediated knockdown of Notch1 resulted in a significant decrease in the levels of c-Fos and p-c-Fos (P <0.01, P <0.001). Additionally, a decrease in Cyclin D1, CDK6, and CDK4 was also detected. The Notch1 inhibitor LY-411575 showed the potential to down-regulate the levels of c-Fos and p-c-Fos, which was consistent with Notch1 knockdown group (P <0.01), whereas the expression and phosphorylation of c-Fos were remarkably up-regulated by treatment of Notch1 activator Jagged-1 (P <0.05). In addition, our data obtained by MTT and Ki-67 staining revealed that the c-Fos down-regulation led to a significant reduction in cell viability and proliferation of the SK-RG cells (P <0.001). Moreover, FACS analysis showed that the cell cycle was arrested in the G0/G1 stage, and the expressions of Cyclin D1, CDK6, and CDK4 were down-regulated in the c-Fos-knockdown SK-RG cells (P <0.05). Reduction in total KSHV copy number and expressions of viral genes (RTA, LANA and K8.1) were also detected in c-Fos down-regulated SK-RG cells (P <0.05). CONCLUSION Our findings strongly indicate that c-Fos plays a crucial role in the promotion of cell proliferation through Notch1 signaling in KSHV-infected cells. Furthermore, our results suggest that the inhibition of expression of key viral pathogenic proteins is likely involved in this process.
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Affiliation(s)
- Huiling Xu
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
- Department of Pathology, Central People's Hospital of Zhanjiang, Zhanjiang, Guangdong 52400, China
| | - Jinghong Huang
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Lixia Yao
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), University of Queensland (UQ), Corner College and Cooper Roads (Building 75), St Lucia, Brisbane QLD 4072, Australia
| | - Aynisahan Ruzi
- Xinjiang Bazhou People's Hospital, Korla, Xinjiang 841000, China
| | - Yufei Ding
- Department of Pathology, the Fourth Division Hospital of Xinjiang Production and Construction Corps, Yining 835100, China
| | - Ying Li
- School of Medicine, Tarim University, Alaer 843300, Xinjiang, China
| | - Weihua Liang
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Jinfang Jiang
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Zemin Pan
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Dongdong Cao
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Naiming Zhou
- School of Medicine, Tarim University, Alaer 843300, Xinjiang, China
- Institute of Biochemistry, College of Life Sciences, Zijingang Campus, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Dongmei Li
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
| | - Jinli Zhang
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases, NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, School of Medicine, Shihezi University, Shihezi City, Xinjiang 832002, China
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Li F, Cao D, Yao L, Gu W, Liu Z, Li D, Cui L. Targeted delivery of miR-34a-5p by phenylborate-coupled polyethylenimide nanocarriers for anti-KSHV treatment. Front Bioeng Biotechnol 2024; 11:1343956. [PMID: 38260739 PMCID: PMC10801047 DOI: 10.3389/fbioe.2023.1343956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
Kaposi's sarcoma-associated herpesvirus (KSHV) can infect a variety of cells and cause malignant tumors. At present, the use of microRNA (miRNA) for anti-KSHV is a promising treatment strategy, but the instability and non-specific uptake of miRNA still limit its use in the treatment of KSHV. In the present study, we constructed a nano-drug delivery system employing chemical grafting and electrostatic adsorption to solve the problems of easy degradation and low cell uptake of miRNA during direct administration. This nano-drug delivery system is to graft 4-carboxyphenylboric acid (PBA) and lauric acid (LA) onto polyethylenimine (PEI) through amidation reaction, and then prepare cationic copolymer nanocarriers (LA-PEI-PBA). The drug-carrying nanocomplex LA-PEI-PBA/miR-34a-5p was formed after further electrostatic adsorption of miR-34a-5p on the carrier and could protect miR-34a-5p from nuclease and serum degradation. Modification of the drug-carrying nanocomplex LA-PEI-PBA/miR-34a-5p by targeted molecule PBA showed effective uptake, increase in the level of miR-34a-5p, and inhibition of cell proliferation and migration in KSHV-infected cells. In addition, the drug-carrying nanocomplex could also significantly reduce the expression of KSHV lytic and latent genes, achieving the purpose of anti-KSHV treatment. In conclusion, these cationic copolymer nanocarriers with PBA targeting possess potential applications in nucleic acid delivery and anti-KSHV therapy.
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Affiliation(s)
- Fangling Li
- School of Chemistry and Chemical Engineering, State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi, Xinjiang, China
| | - Dongdong Cao
- School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Lixia Yao
- School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), University of Queensland (UQ), Brisbane, QLD, Australia
| | - Zhiyong Liu
- School of Chemistry and Chemical Engineering, State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi, Xinjiang, China
| | - Dongmei Li
- School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Lin Cui
- School of Medicine, Shihezi University, Shihezi, Xinjiang, China
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Stratmann K, Aydolmus S, Gu W, Heling D, Spengler U, Terjung B, Strassburg CP, Vollenberg R, Blumenstein I, Trebicka J. Hepatobiliary manifestations in patients with ulcerative colitis: a retrospective analysis. Front Med (Lausanne) 2024; 10:1273797. [PMID: 38249970 PMCID: PMC10796802 DOI: 10.3389/fmed.2023.1273797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024] Open
Abstract
Background Inflammatory bowel diseases (IBDs) are often associated with altered liver function tests (LFTs). There is little data on the relationship between abnormal LFT and IBD. Our study aimed to evaluate the prevalence and etiology of elevated LFT in patients with ulcerative colitis (UC) and to determine whether there is an association with clinical and demographic parameters. Methods The clinical records of the Gastroenterology Outpatients Clinic at a single center were reviewed and screened for patients with UC from 2005 to 2014. In total, 263 patients were included. Patients with Crohn's disease (CD), colitis indeterminate, and colitis of other origins were excluded. Abnormal LFT and liver injuries were analyzed. Results A cohort of 182 patients was analyzed (114 males, 68 females; mean age = 50.2 ± 16.1 years). 58 patients had already been diagnosed with a hepatobiliary disorder. Patients with a known hepatobiliary disorder suffered from UC for a significantly longer duration. Elevated LFT in patients without known hepatobiliary disorders was 69.4%. Liver injury was found in 21.8%. A transient increase in abnormal LFT was shown in 59 patients (68.6%), a persistent increase was found in 27 patients (31.4%). Treatment with thiopurines was a risk factor for persistent elevated LFT (p = 0.029), steroids had a protective impact (p = 0.037). Conclusion This study clearly highlights the importance of screening for hepatobiliary disorders and abnormal LFT in patients with UC, as the prevalence of hepatobiliary disorders and abnormal LFT is detected very often among this patient group.
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Affiliation(s)
- Katharina Stratmann
- Goethe University Frankfurt, University Hospital, Medical Clinic 1, Frankfurt, Germany
| | - Songül Aydolmus
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | - Wenyi Gu
- Department of Internal Medicine B, University Clinic Münster, Münster, Germany
| | - Dominik Heling
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | - Ulrich Spengler
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | - Birgit Terjung
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
| | | | - Richard Vollenberg
- Department of Internal Medicine B, University Clinic Münster, Münster, Germany
| | - Irina Blumenstein
- Goethe University Frankfurt, University Hospital, Medical Clinic 1, Frankfurt, Germany
| | - Jonel Trebicka
- Goethe University Frankfurt, University Hospital, Medical Clinic 1, Frankfurt, Germany
- Department of Internal Medicine I, University Hospital of Bonn, Bonn, Germany
- Department of Internal Medicine B, University Clinic Münster, Münster, Germany
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Yu X, Liu X, Tan W, Wang X, Zheng X, Huang Y, Chen J, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Chen R, Long L, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Sheng J, Li H, Shi Y. The clinical courses of HBV-related acute-on-chronic liver failure and a multi-state model to predict disease evolution. Hepatol Commun 2024; 8:e0354. [PMID: 38180960 PMCID: PMC10781128 DOI: 10.1097/hc9.0000000000000354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/30/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND AND AIMS Acute-on-chronic liver failure (ACLF) is a highly dynamic syndrome. The objective of this study was to delineate the clinical course of patients with HBV-ACLF and to develop a model to estimate the temporal evolution of disease severity. METHODS We enrolled eligible patients from 2 large, multicenter prospective cohorts. The ACLF grade, organ failures, and outcomes were assessed at multiple time points (days 1/4/7/14/21/28). Probabilities for ACLF transitions between these disease states and to death within 28 days were calculated using a multi-state model that used baseline information and updated ACLF status. The model was validated in independent patients. RESULTS Among all the 445 patients with HBV-ACLF, 76 represented disease progression, 195 had a stable or fluctuating course, 8 with improvement, and the remaining 166 with resolution within 28-day follow-up. New coagulation (63.64%) or renal failure (45.45%) was frequently observed during early progression. Patients with disease progression had a higher incidence of new episodes of ascites [10 (13.16%) vs. 22 (5.96%), p = 0.027] and HE [13(17.11%) vs. 21 (5.69%), p = 0.001], and a significant increase in white blood cell count. The multi-state model represented dynamic areas under the receiver operating characteristic curves ranging from 0.71 to 0.84 for predicting all ACLF states and death at 4, 7, 14, 21, and 28 days post-enrollment and from 0.73 to 0.94 for predicting death alone, performing better than traditional prognostic scores. CONCLUSIONS HBV-ACLF is a highly dynamic syndrome with reversibility. The multi-state model is a tool to estimate the temporal evolution of disease severity, which may inform clinical decisions on treatment.
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Affiliation(s)
- Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xinxin Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaobo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People’s Hospital, Tianjin, China
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Disease, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Deparment of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Yin
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenyi Gu
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hai Li
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Tao Y, Xu L, Liu X, Wang P, Wei S, Huang Y, Gu W, Bo R, Liu M, Yu J, Li J. Chitosan-coated artesunate protects against ulcerative colitis via STAT6-mediated macrophage M2 polarization and intestinal barrier protection. Int J Biol Macromol 2024; 254:127680. [PMID: 37890744 DOI: 10.1016/j.ijbiomac.2023.127680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/19/2023] [Accepted: 10/24/2023] [Indexed: 10/29/2023]
Abstract
Oral delivery of chitosan-coated artesunate (CPA) has been proven to be effective at preventing ulcerative colitis (UC) in mice. However, the anti-inflammatory mechanism is not fully understood. STAT6 is a key transcription factor that promotes anti-inflammatory effects by inducing M2 and Th2 dominant phenotypes, therefore we hypothesized STAT6 might play a key role in the process. To prove it, a STAT6 gene knockout macrophage cell line (STAT6-/- RAW264.7, by CRISPR/Cas9 method), and its corresponding Caco-2/RAW264.7 co-culture system combined with the STAT6 inhibitor (AS1517499, AS) in a mouse UC model were established and studied. The results showed that CPA remarkably suppressed the activation of TLR-4/NF-κB pathway and the mRNA levels of proinflammatory cytokines, while increased the IL-10 levels in RAW264.7. This effect of CPA contributed to the protection of the ZO-1 in Caco-2 which was disrupted upon the stimulation to macrophages. Simultaneously, CPA reduced the expression of CD86 but increase the expression of CD206 and p-STAT6 in LPS-stimulated RAW264.7 cells. However, above alterations were not obvious as in STAT6-/- RAW264.7 and its co-culture system, suggesting STAT6 plays a key role. Furthermore, CPA treatment significantly inhibited TLR-4/NF-κB activation, intestinal macrophage M1 polarization and mucosal barrier injury induced by DSS while promoted STAT6 phosphorylation in the UC mouse model, but this effect was also prominently counteracted by AS. Therefore, our data indicate that STAT6 is a major regulator in the balance of M1/M2 polarization, intestinal barrier integrity and then anti-colitis effects of CPA. These findings broaden our understanding of how CPA fights against UC and imply an alternative treatment strategy for UC via this pathway.
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Affiliation(s)
- Ya Tao
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Lei Xu
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Xiaopan Liu
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Peijia Wang
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Simin Wei
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Yinmo Huang
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, QLD, Australia
| | - Ruonan Bo
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Mingjiang Liu
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China
| | - Jie Yu
- The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian 223800, PR China.
| | - Jingui Li
- School of Veterinary Medicine, Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu 225009, PR China.
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Zou Y, Zhu K, Pang Y, Han J, Zhang X, Jiang Z, Huang Y, Gu W, Ji Y. Molecular Detection of FGFR2 Rearrangements in Resected Intrahepatic Cholangiocarcinomas: FISH Could Be An Ideal Method in Patients with Histological Small Duct Subtype. J Clin Transl Hepatol 2023; 11:1355-1367. [PMID: 37719957 PMCID: PMC10500298 DOI: 10.14218/jcth.2022.00060s] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/17/2023] [Accepted: 04/18/2023] [Indexed: 09/19/2023] Open
Abstract
Background and Aims Intrahepatic cholangiocarcinoma (ICC) is a subtype of primary liver cancer for which effective therapeutic agents are lacking. Fibroblast growth factor receptor 2 (FGFR2) has become a promising therapeutic target in ICC; however, its incidence and optimum testing method have not been fully assessed. This study investigated the rearrangement of FGFR2 in intrahepatic cholangiocarcinoma using multiple molecular detection methods. Methods The samples and clinical data of 167 patients who underwent surgical resection of intrahepatic cholangiocarcinoma in Zhongshan hospital, Fudan university were collected. The presence of FGFR2 gene rearrangement was confirmed using fluorescence in situ hybridization (FISH) and targeted next-generation sequencing (NGS). FGFR2 protein expression was determined using immunohistochemistry (IHC). The concordance between the methods was statistically compared. PD-L1 expression was also assessed in this cohort. The clinicopathological characteristics and genomic profile related to FGFR2 rearrangements were also analyzed to assist candidate-screening for targeted therapies. Results FGFR2 rearrangement was detected in 21 of the 167 ICC cases (12.5%) using FISH. NGS analysis revealed that FGFR2 rearrangement was present in 16 of the 20 FISH-positive cases, which was consistent with the FISH results (kappa value=0.696, p<0.01). IHC showed that 80 of the 167 cases (48%) were positive for FGFR2 expression, which was discordant with both FISH and NGS results. By comparison, FGFR2-positivity tended to correlate with unique clinicopathological subgroups, featuring early clinical stage, histologically small duct subtype, and reduced mucus production (P<0.05), with improved overall survival (p<0.05). FGFR2-positivity was not associated with PD-L1 expression in ICCs. In genome research, we identified eight partner genes fused with FGFR2, among which FGFR2-BICC1 was the most common fusion type. BAP1, CDKN2A, and CDKN2B were the most common concomitant genetic alterations of FGFR2, whereas KRAS and IDH1 mutations were mutually exclusive to FGFR2 rearrangements. Conclusions FISH achieved satisfactory concordance with NGS, has potential value for FGFR2 screening for targeted therapies. FGFR2 detection should be prioritized for unique clinical subgroups in ICC, which features a histological small duct subtype, early clinical stage, and reduced mucus production.
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Affiliation(s)
- Yining Zou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Pathology, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Kun Zhu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Pathology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yanrui Pang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
| | - Jing Han
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
| | - Zhengzeng Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
| | - Yufeng Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
| | - Wenyi Gu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
| | - Yuan Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan University, Shanghai, China
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Xu C, Li H, Yang J, Peng Y, Cai H, Zhou J, Gu W, Chen L. Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning. BMC Med Inform Decis Mak 2023; 23:267. [PMID: 37985996 PMCID: PMC10662001 DOI: 10.1186/s12911-023-02371-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 11/08/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND The goal of this study was to assess the effectiveness of machine learning models and create an interpretable machine learning model that adequately explained 3-year all-cause mortality in patients with chronic heart failure. METHODS The data in this paper were selected from patients with chronic heart failure who were hospitalized at the First Affiliated Hospital of Kunming Medical University, from 2017 to 2019 with cardiac function class III-IV. The dataset was explored using six different machine learning models, including logistic regression, naive Bayes, random forest classifier, extreme gradient boost, K-nearest neighbor, and decision tree. Finally, interpretable methods based on machine learning, such as SHAP value, permutation importance, and partial dependence plots, were used to estimate the 3-year all-cause mortality risk and produce individual interpretations of the model's conclusions. RESULT In this paper, random forest was identified as the optimal aools lgorithm for this dataset. We also incorporated relevant machine learning interpretable tand techniques to improve disease prognosis, including permutation importance, PDP plots and SHAP values for analysis. From this study, we can see that the number of hospitalizations, age, glomerular filtration rate, BNP, NYHA cardiac function classification, lymphocyte absolute value, serum albumin, hemoglobin, total cholesterol, pulmonary artery systolic pressure and so on were important for providing an optimal risk assessment and were important predictive factors of chronic heart failure. CONCLUSION The machine learning-based cardiovascular risk models could be used to accurately assess and stratify the 3-year risk of all-cause mortality among CHF patients. Machine learning in combination with permutation importance, PDP plots, and the SHAP value could offer a clear explanation of individual risk prediction and give doctors an intuitive knowledge of the functions of important model components.
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Affiliation(s)
- Chenggong Xu
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hongxia Li
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jianping Yang
- College of Big Data, Yunnan Agricultural University, Kunming, China
| | - Yunzhu Peng
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hongyan Cai
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Zhou
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Wenyi Gu
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Lixing Chen
- The First Affiliated Hospital of Kunming Medical University, Kunming, China.
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Shi T, Wang Y, Peng Y, Wang M, Zhou Y, Gu W, Li Y, Zou J, Zhu N, Chen L. Advanced lung cancer inflammation index combined with geriatric nutritional risk index predict all-cause mortality in heart failure patients. BMC Cardiovasc Disord 2023; 23:565. [PMID: 37978441 PMCID: PMC10655430 DOI: 10.1186/s12872-023-03608-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND This study was undertaken to explore the predictive value of the advanced lung cancer inflammation index (ALI) combined with the geriatric nutritional risk index (GNRI) for all-cause mortality in patients with heart failure (HF). METHODS AND RESULTS We enrolled 1123 patients with HF admitted to our cardiology department from January 2017 to October 2021. Patients were divided into four groups, according to the median ALI and GNRI. From the analysis of the relationship between the ALI and GNRI, we concluded that there was a mild positive linear correlation (r = 0.348, p < 0.001) and no interaction (p = 0.140) between the ALI and GNRI. Kaplan‒Meier analysis showed that the cumulative incidence of all-cause mortality in patients with HF was highest in Group 1 (log-rank χ2 126.244, p < 0.001). Multivariate Cox proportional hazards analysis revealed that ALI and GNRI were independent predictors of all-cause mortality in HF patients (ALI: HR 0.407, 95% CI 0.296-0.560, p < 0.001; GNRI: HR 0.967, 95% CI 0.954-0.980, p < 0.001). The area under the curve (AUC) for ALI combined with GNRI was 0.711 (p < 0.001), according to the time-dependent ROC curve. CONCLUSION ALI and GNRI were independent predictors of all-cause mortality in HF patients. Patients with HF had the highest risk of all-cause mortality when the ALI was < 24.60 and the GNRI was < 94.41. ALI combined with the GNRI has good predictive value for the prognosis of HF patients.
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Affiliation(s)
- Tao Shi
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yan Wang
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yunzhu Peng
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | | | - Yanji Zhou
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Wenyi Gu
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yanyan Li
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jie Zou
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Na Zhu
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Lixing Chen
- The First Affiliated Hospital of Kunming Medical University, Kunming, China.
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Zhang Y, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Yan H, Zheng Y, Zhang W, Gu W, Qiao L, Deng G, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Duan L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Cheng X, Guo L, Li H. Metabolic biomarkers significantly enhance the prediction of HBV-related ACLF occurrence and outcomes. J Hepatol 2023; 79:1159-1171. [PMID: 37517452 DOI: 10.1016/j.jhep.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/16/2023] [Accepted: 07/11/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND & AIMS Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality in patients with chronic liver disease. Chronic hepatitis B is the main cause of ACLF (HBV-ACLF) in China and other Asian countries. To improve disease management and survival for patients with ACLF, we aimed to discover novel biomarkers to enhance HBV-ACLF diagnosis and prognostication. METHODS We performed a metabolomics profiling of 1,024 plasma samples collected from patients with HBV-related chronic liver disease with acute exacerbation at hospital admission in a multi-year and multi-center prospective study (367 ACLF and 657 non-ACLF). The samples were randomly separated into equal halves as a discovery set and a validation set. We identified metabolites associated with 90-day mortality in the ACLF group and the progression to ACLF within 28 days in the non-ACLF group (pre-ACLF) using statistical analysis and machine learning. We developed diagnostic algorithms in the discovery set and used these to assess the findings in the validation set. RESULTS ACLF significantly altered the plasma metabolome, particularly in membrane lipid metabolism, steroid hormones, oxidative stress pathways, and energy metabolism. Numerous metabolites were significantly associated with 90-day mortality in the ACLF group and/or pre-ACLF in the non-ACLF group. We developed algorithms for the prediction of 90-day mortality in patients with ACLF (area under the curve 0.87 and 0.83 for the discovery set and validation set, respectively) and the diagnosis of pre-ACLF (area under the curve 0.94 and 0.88 for the discovery set and validation set, respectively). To translate our discoveries into practical clinical tests, we developed targeted assays using liquid chromatography-mass spectrometry. CONCLUSIONS Based on novel metabolite biomarkers, we established tests for HBV-related ACLF with higher accuracy than existing methods. CLINICAL TRIAL NUMBER NCT02457637 and NCT03641872. IMPACT AND IMPLICATIONS Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality affecting 25% of patients hospitalized with cirrhosis. Chronic hepatitis B is the main etiology of ACLF in China and other Asian counties. There is currently no effective therapy. Early diagnosis and accurate prognostication are critical for improving clinical outcomes in patients with ACLF. Based on novel metabolite biomarkers, we developed liquid chromatography-mass spectrometry tests with improved accuracy for the early diagnosis and prognostication of HBV-related ACLF. The liquid chromatography-mass spectrometry tests can be implemented in clinical labs and used by physicians to triage patients with HBV-related ACLF to ensure optimized clinical management.
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Affiliation(s)
- Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China; Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China; National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Huadong Yan
- Infectious Disease Department, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Deparment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou City, 510630, PR China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lihua Duan
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China; National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Xiaoliang Cheng
- Jiangsu Qlife Medical Technology Group Co., Ltd, Nanjin Pinsheng Medical Technology Co., Ltd, Nanjing, China
| | - Lining Guo
- Precion Inc., Morrisville, North Carolina, USA.
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China; Department of Gastroenterology, Punan Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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23
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Gu W, Schaaf L, Hortlik H, Zeleke Y, Brol MJ, Schnitzbauer AA, Bechstein WO, Zeuzem S, Queck A, Peiffer KH, Tischendorf M, Pascher A, Laleman W, Praktiknjo M, Schulz MS, Uschner FE, Rennebaum F, Trebicka J. Epidemiology of liver transplantation and post-LT complications in Germany: nationwide study (2005-2018). Eur J Gastroenterol Hepatol 2023; 35:1289-1297. [PMID: 37724476 PMCID: PMC10538604 DOI: 10.1097/meg.0000000000002640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/06/2023] [Indexed: 09/20/2023]
Abstract
BACKGROUND To date, liver transplantation (LT) is the only curative treatment for cirrhosis and early-diagnosed progressive acute liver failure (ALF). However, LT results in morbidities and mortality even post-LT. Different comorbidities may follow and further increase mortality and morbidity. In this study, we investigated the outcomes and their trends over a period of 14 years among hospitalized patients evaluated for LT, transplant and post-LT in Germany. METHODS This German nationwide study investigated the number of admissions of patients hospitalized for evaluation of LT and post-LT on related comorbidities and complications between 2005 and 2018 based on the DRG system with ICD-10/OPS codes. 14 745 patients were put on the LT waiting list and 12 836 underwent LT during the observational period. RESULTS The LT number decreased by 2.3% over time, while the waiting list mortality rate increased by 5%. By contrast, the in-hospital mortality rate decreased by 3%, especially in ALF patients (decrease of 16%). Interestingly, admissions of post-LT patients for complications almost doubled, driven mainly by complications of immunosuppression (tripled). Importantly, post-LT patients with acute kidney injury (20.2%) and biliodigestive anastomosis (18.4%) showed the highest in-hospital mortality rate of all complications. CONCLUSION In conclusion, the decrease in LT leads most probably to the increased in-hospital mortality of patients on the waiting list. Interestingly, in-hospital mortality decreased in LT patients. Post-LT comorbidities requiring hospitalization increased in the observational period and management of patients post-LT with AKI or biliodigestive anastomosis should be addressed.
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Affiliation(s)
- Wenyi Gu
- Department of Internal Medicine B, University Hospital Muenster, Muenster
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | - Louisa Schaaf
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | - Hannah Hortlik
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | - Yasmin Zeleke
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | - Maximilian J. Brol
- Department of Internal Medicine B, University Hospital Muenster, Muenster
| | - Andreas A. Schnitzbauer
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main
| | - Wolf O. Bechstein
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main
| | - Stefan Zeuzem
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | - Alexander Queck
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | - Kai-Henrik Peiffer
- Department of Internal Medicine B, University Hospital Muenster, Muenster
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt
| | | | - Andreas Pascher
- Department of General, Visceral, Transplant and Thoracic Surgery, University Hospital Muenster, Muenster, Germany
| | - Wim Laleman
- Department of Internal Medicine B, University Hospital Muenster, Muenster
- Department of Gastroenterology & Hepatology, Section of Liver and Biliopancreatic Disorders, University Hospitals of Leuven, KU Leuven, Leuven, Belgium
| | - Michael Praktiknjo
- Department of Internal Medicine B, University Hospital Muenster, Muenster
| | - Martin S. Schulz
- Department of Internal Medicine B, University Hospital Muenster, Muenster
| | - Frank E. Uschner
- Department of Internal Medicine B, University Hospital Muenster, Muenster
| | - Florian Rennebaum
- Department of Internal Medicine B, University Hospital Muenster, Muenster
| | - Jonel Trebicka
- Department of Internal Medicine B, University Hospital Muenster, Muenster
- European Foundation for Study of Chronic Liver Failure, Barcelona, Spain
- Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
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24
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Rennebaum F, Demmig C, Schmidt HH, Vollenberg R, Tepasse PR, Trebicka J, Gu W, Ullerich H, Kabar I, Cordes F. Elevated Liver Fibrosis Progression in Isolated PSC Patients and Increased Malignancy Risk in a PSC-IBD Cohort: A Retrospective Study. Int J Mol Sci 2023; 24:15431. [PMID: 37895106 PMCID: PMC10607359 DOI: 10.3390/ijms242015431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease often associated with inflammatory bowel disease (IBD), particularly ulcerative colitis (CU), and rarely with Crohn's disease (CD). Various long-term analyses show different rates of cancer and the need for orthotopic liver transplantation (OLT) in patients with isolated PSC and with concomitant IBD, respectively. However, data on the detailed course of PSC with or without IBD are limited. We aimed to analyze the clinical disease course of PSC patients without IBD compared to PSC patients with UC and CD, respectively. A retrospective data analysis of patients with isolated PSC (n = 41) and of patients with concomitant IBD (n = 115) was performed. In detail, PSC disease characteristics including occurrence of dominant stenoses, liver cirrhosis, OLT and malignancy, as well as the temporal course of PSC activity and disease progression, were analyzed. A multivariable Cox regression model and a Fine-Gray competing risk model were further used for the independent risk factor analysis of cirrhosis development and OLT. Patients with isolated PSC were significantly older at first diagnosis than patients with PSC-IBD (39 vs. 28 years, p = 0.02). A detailed analysis of the course of PSC revealed a faster PSC progression after initial diagnosis in isolated PSC patients compared to PSC-IBD including significantly earlier diagnosis of dominant stenoses (29 vs. 74 months, p = 0.021) and faster progression to liver cirrhosis (38 vs. 103 months, p = 0.027). Patients with isolated PSC have a higher risk of developing cirrhosis than patients with PSC-IBD (Gray's test p = 0.03). OLT was more frequently performed in male patients with isolated PSC compared to males with coincident IBD (48% (n = 13) vs. 33% (n = 25), p = 0.003). Colorectal carcinoma was significantly more often diagnosed in patients with PSC-IBD than in isolated PSC (8.7% vs. 0%, p = 0.042). Patients with isolated PSC seem to have a different clinical course of disease than PSC patients with concomitant IBD characterized by a more pro-fibrotic disease course with earlier onset of liver cirrhosis and dominant stenosis but with less malignancy. These data may be interpreted as either a more progressive disease course of isolated PSC or a later diagnosis of the disease at an advanced disease stage. The different clinical courses of PSC and the underlying mechanisms of the gut-liver axis need further attention.
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Affiliation(s)
- Florian Rennebaum
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Claudia Demmig
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Hartmut H. Schmidt
- Department of Hepatology, Gastroenterology and Transplantation Medicine, University Hospital Essen, 45147 Essen, Germany;
| | - Richard Vollenberg
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Phil-Robin Tepasse
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Jonel Trebicka
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Wenyi Gu
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Hansjoerg Ullerich
- Department of Internal Medicine B, Gastroenterology, Hepatology, Endocrinology and Clinical Infectiology, University Hospital Münster, 48149 Münster, Germany; (C.D.); (R.V.); (P.-R.T.); (J.T.); (W.G.); (H.U.)
| | - Iyad Kabar
- Department of Internal Medicine, University Teaching Hospital Raphaelsklinik Münster, 48143 Münster, Germany;
| | - Friederike Cordes
- Department of Internal Medicine II Gastroenterology, University Teaching Hospital Euregio-Klinik Nordhorn, 48527 Nordhorn, Germany;
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25
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Gu W, Zeleke Y, Hortlik H, Schaaf L, Uschner FE, Schulz M, Tischendorf M, Peiffer KH, Brol MJ, Kimmann M, Vogl T, Köhler M, Meyer C, Gerbes A, Rössle M, Laleman W, Zipprich A, Steib C, Praktiknjo M, Trebicka J. Use and outcome of TIPS in hospitalized patients in Germany: A Nationwide study (2007-2018). Hepatol Commun 2023; 7:e0237. [PMID: 37708430 PMCID: PMC10503680 DOI: 10.1097/hc9.0000000000000237] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/14/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND The number of complications in patients admitted for cirrhosis has increased over time. Portal hypertension is the driver of many complications of cirrhosis. TIPS placement is the most effective treatment of portal hypertension. The aim of this study was to analyze the use and impact of TIPS placement in the last decade in a nationwide study in Germany. METHODS We analyzed 14,598 admissions of patients for TIPS insertions in Germany from 2007 to 2018 using the DRG system, 12,877 out of 2,000,765 total admissions of patients with cirrhosis. All diagnoses and procedures were coded according to ICD-10-CM and OPS codes. The data were analyzed, focusing on the number of admissions and in-hospital mortality. RESULTS The number of TIPS placements increased over the last decade. In-hospital mortality of cirrhotic patients with TIPS decreased when it was placed for severe bleeding (15.2% [TIPS] vs. 19.5% [endoscopy treatment]), ascites (8.7% [TIPS] vs. 14.4% [paracentesis]), and hepatorenal syndrome (HRS) (17.1% [TIPS] vs. 43.3% [no-TIPS]). In the case of bleeding, TIPS significantly decreased in-hospital mortality and also in ascites and HRS. During hospitalization, 22.6% admissions of patients with TIPS insertion showed HE. However, in-hospital mortality in patients admitted with HE grades 1 or 2 and TIPS was lower than in patients without TIPS. In the logistic regression, a higher HE grade(3 and 4), infection, and circulatory disease were found to be independently associated with in-hospital mortality in patients with TIPS insertion. CONCLUSION Our nationwide study demonstrates that TIPS insertion is increasingly used in Germany. TIPS improves outcomes, especially in patients with ascites and HRS, regardless of lower HE grades, while higher HE grades, infection, and circulatory diseases seem to be associated with risk of in-hospital mortality.
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Affiliation(s)
- Wenyi Gu
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Yasmin Zeleke
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Hannah Hortlik
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Louisa Schaaf
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Frank E. Uschner
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
| | - Martin Schulz
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
| | - Michael Tischendorf
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
| | - Kai-Henrik Peiffer
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
| | | | - Markus Kimmann
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
| | - Thomas Vogl
- Institute of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Michael Köhler
- Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | - Carsten Meyer
- Clinic for Radiology, University Hospital Bonn, Bonn, Germany
| | - Alexander Gerbes
- Department of Medicine II, University Clinic Munich LMU, Munich, Germany
| | - Martin Rössle
- Department of Internal Medicine II, Faculty of Medicine, Medical Centre University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Wim Laleman
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Alexander Zipprich
- Department of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Christian Steib
- Department of Medicine II, University Clinic Munich LMU, Munich, Germany
| | - Michael Praktiknjo
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
| | - Jonel Trebicka
- Department of Internal Medicine B, University Hospital Muenster, Muenster, Germany
- European Foundation for Study of Chronic Liver Failure, Barcelona, Spain
- Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
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26
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Sun R, Xi K, Song X, Yin W, Xi D, Shao Y, Gu W, Jiang J. The Effect of MDSC-Derived Exosomes Played in Esophageal Squamous Carcinoma Cells after Ionizing Radiation. Int J Radiat Oncol Biol Phys 2023; 117:e261. [PMID: 37785000 DOI: 10.1016/j.ijrobp.2023.06.1216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiotherapy is the main treatment for esophageal cancer. Previous studies have shown that radiotherapy not only kills tumor cells directly, but also reshapes the immune microenvironment of the tumor. It has been reported an increase in the recruitment of myeloid-derived suppressor cells (MDSC) can occur in tumor tissue after ionizing radiation. Exosomes are mediators of intercellular information exchange and are also involved in the regulation of the tumor microenvironment. In this study, we wanted to understand whether MDSC in esophageal cancer tissue are involved in the regulation of tumor cell response to ionizing radiation via exosomes. MATERIALS/METHODS KYSE-150 was used to construct a subcutaneous transplantation tumor model in nude mice. And then mice irradiated with 5 Gy×5fx and 0 Gy×5fx respectively. After irradiation, the spleens of the mice were used to isolate MDSC, and collect the cell supernatants to extract the exosomes. Based on the exosomes, we divided the experiment into three groups (control, exosomes, exosomes+radiation). Exosomes were injected into a nude mouse model of esophageal cancer via the tail vein or co-cultured with KYSE-150 cells. Mice were irradiated with a 5 Gy×5fx after completion of injection, and KYSE-150 cells were irradiated with a single dose 4 Gy. After radiation, KYSE-150 cells were used to detect cell cloning, apoptosis and cell cycle by flow cytometry, cell proliferation by CCK 8. XRCC4,XRCC5,XRCC6,γH2AX,ATM expression in cells and tumor tissue were measured by Western blot and RT-PCR. RESULTS The tumor volume was significantly reduced after 5 Gy x 5fx radiation. When exosomes co-cultured with KYSE-150 cells, decrease in apoptosis and increase in cell cloning and cell proliferation were found in the exosomes+radiation group and exosomes group after radiation when compared with the control group, with this change being more pronounced in the exosome+radiation group. The results of the cell cycle assay showed that after ionizing radiation, the proportion of cells in the G0/G1 phase was significantly lower, and the proportion of cells in the S and G2/M phases were significantly higher in the exosomes+radiation group and exosomes group when compared to the Control group. The protein and mRNA expression of XRCC4,XRCC5,XRCC6,γH2AX,ATM in cells were increased in exosomes+radiation group and exosomes group after radiation when compared with the control group, with this change being more obvious in the exosome+radiation group. After irradiation, tumor volumes were measured in nude mice and the results showed that exosomes+radiation group tumors were the largest in volume, while the control group regressed most significantly after irradiation. CONCLUSION MDSC-derived exosomes have a tumor growth-promoting effect in esophageal squamous carcinoma, which is enhanced by ionizing radiation, and this may be related to the accelerated repair of damage in tumor tissue after radiation.
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Affiliation(s)
- R Sun
- Department of Radiotherapy & Oncology, The Third Affiliated Hospital of Soochow University, Chang Zhou, China
| | - K Xi
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - X Song
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - W Yin
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - D Xi
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - Y Shao
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - W Gu
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - J Jiang
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
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27
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Abratenko P, Alterkait O, Andrade Aldana D, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cohen EO, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hicks R, Hilgenberg C, Horton-Smith GA, Irwin B, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Miller K, Mills J, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Pophale I, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, John JS, Strauss T, Sword-Fehlberg S, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Double-Differential Measurement of Kinematic Imbalance in Neutrino Interactions with the MicroBooNE Detector. Phys Rev Lett 2023; 131:101802. [PMID: 37739352 DOI: 10.1103/physrevlett.131.101802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 05/09/2023] [Accepted: 07/14/2023] [Indexed: 09/24/2023]
Abstract
We report the first measurement of flux-integrated double-differential quasielasticlike neutrino-argon cross sections, which have been made using the Booster Neutrino Beam and the MicroBooNE detector at Fermi National Accelerator Laboratory. The data are presented as a function of kinematic imbalance variables which are sensitive to nuclear ground-state distributions and hadronic reinteraction processes. We find that the measured cross sections in different phase-space regions are sensitive to different nuclear effects. Therefore, they enable the impact of specific nuclear effects on the neutrino-nucleus interaction to be isolated more completely than was possible using previous single-differential cross section measurements. Our results provide precision data to help test and improve neutrino-nucleus interaction models. They further support ongoing neutrino-oscillation studies by establishing phase-space regions where precise reaction modeling has already been achieved.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - O Alterkait
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - O Benevides Rodrigues
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
- Syracuse University, Syracuse, New York 13244, USA
| | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - E O Cohen
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Hicks
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University College London, London WC1E 6BT, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - N Oza
- Columbia University, New York, New York 10027, USA
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Zhu ZK, Lu X, Tang WQ, Sun JW, Shen L, Chen QL, Liu HX, Yu Y, Gu W, Zhao YW, Xie Y. [Safety evaluation of simultaneous administration of quadrivalent influenza split virion vaccine and 23-valent pneumococcal polysaccharide vaccine in adults aged 60 years and older]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1412-1417. [PMID: 37554083 DOI: 10.3760/cma.j.cn112150-20230417-00295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 08/10/2023]
Abstract
Objective: To evaluate the safety of simultaneous administration of quadrivalent influenza split virion vaccine and 23-valent pneumococcal polysaccharide vaccine in adults aged 60 years and older. Methods: From November 2021 to May 2022, eligible participants aged 60 years and older were recruited in Taizhou City, Jiangsu Province, China, and a total of 2 461 participants were ultimately enrolled in this study. Each participant simultaneously received one dose of quadrivalent influenza split virion vaccine and one dose of 23-valent pneumococcal polysaccharide vaccine. The safety was observed within 28 days after vaccination. Safety information was collected through voluntary reporting and regular follow-ups. Results: All 2 461 participants completed the simultaneous administration of both vaccines and the safety follow-ups for 28 days after vaccination. The mean age of the participants was (70.66±6.18) years, with 54.61% (1 344) being male, and all participants were Han Chinese residents. About 22.51% (554) of the participants had underlying medical conditions. The overall incidence of adverse reactions within 0-28 days after simultaneous vaccination was 2.07% (51/2 461), mainly consisting of Grade 1 adverse reactions [1.83% (45/2 461)], with no reports of Grade 4 or higher adverse reactions or vaccine-related serious adverse events. The incidence of local adverse reactions was 0.98% (24/2 461), primarily presenting as pain at the injection site [0.93% (23/2 461)]. The incidence of systemic adverse reactions was 1.42% (35/2 461), with fever [0.85% (21/2 461)] being the main symptom. In the group with underlying medical conditions and the healthy group, their overall incidence of adverse reactions was 2.53% (14/554) and 1.94% (37/1 907), respectively. The incidence of local adverse reactions in the two groups was 1.62% (9/554) and 0.79% (15/1 907), respectively, and the incidence of systemic adverse reactions was 1.44% (8/554) and 1.42% (27/1 907), respectively, with no statistically significant differences between them (all P>0.05). Conclusion: It is safe for adults aged 60 years and older to receive quadrivalent influenza split virion vaccine and 23-valent pneumococcal polysaccharide vaccine at the same time.
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Affiliation(s)
- Z K Zhu
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - X Lu
- Sinovac Biotech Co., Ltd., Beijing 100085, China
| | - W Q Tang
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - J W Sun
- Sinovac Life Sciences Co., Ltd., Beijing 102601, China
| | - L Shen
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - Q L Chen
- Sinovac Biotech Co., Ltd., Beijing 100085, China
| | - H X Liu
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - Y Yu
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - W Gu
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
| | - Y W Zhao
- Sinovac Life Sciences Co., Ltd., Beijing 102601, China
| | - Y Xie
- Taizhou Center for Disease Control and Prevention, Taizhou 225300, China
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Weiss E, de la Peña-Ramirez C, Aguilar F, Lozano JJ, Sánchez-Garrido C, Sierra P, Martin PIB, Diaz JM, Fenaille F, Castelli FA, Gustot T, Laleman W, Albillos A, Alessandria C, Domenicali M, Caraceni P, Piano S, Saliba F, Zeuzem S, Gerbes AL, Wendon JA, Jansen C, Gu W, Papp M, Mookerjee R, Gambino CG, Jiménez C, Giovo I, Zaccherini G, Merli M, Putignano A, Uschner FE, Berg T, Bruns T, Trautwein C, Zipprich A, Bañares R, Presa J, Genesca J, Vargas V, Fernández J, Bernardi M, Angeli P, Jalan R, Claria J, Junot C, Moreau R, Trebicka J, Arroyo V. Sympathetic nervous activation, mitochondrial dysfunction and outcome in acutely decompensated cirrhosis: the metabolomic prognostic models (CLIF-C MET). Gut 2023; 72:1581-1591. [PMID: 36788015 PMCID: PMC10359524 DOI: 10.1136/gutjnl-2022-328708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 01/25/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND AND AIMS Current prognostic scores of patients with acutely decompensated cirrhosis (AD), particularly those with acute-on-chronic liver failure (ACLF), underestimate the risk of mortality. This is probably because systemic inflammation (SI), the major driver of AD/ACLF, is not reflected in the scores. SI induces metabolic changes, which impair delivery of the necessary energy for the immune reaction. This investigation aimed to identify metabolites associated with short-term (28-day) death and to design metabolomic prognostic models. METHODS Two prospective multicentre large cohorts from Europe for investigating ACLF and development of ACLF, CANONIC (discovery, n=831) and PREDICT (validation, n=851), were explored by untargeted serum metabolomics to identify and validate metabolites which could allow improved prognostic modelling. RESULTS Three prognostic metabolites strongly associated with death were selected to build the models. 4-Hydroxy-3-methoxyphenylglycol sulfate is a norepinephrine derivative, which may be derived from the brainstem response to SI. Additionally, galacturonic acid and hexanoylcarnitine are associated with mitochondrial dysfunction. Model 1 included only these three prognostic metabolites and age. Model 2 was built around 4-hydroxy-3-methoxyphenylglycol sulfate, hexanoylcarnitine, bilirubin, international normalised ratio (INR) and age. In the discovery cohort, both models were more accurate in predicting death within 7, 14 and 28 days after admission compared with MELDNa score (C-index: 0.9267, 0.9002 and 0.8424, and 0.9369, 0.9206 and 0.8529, with model 1 and model 2, respectively). Similar results were found in the validation cohort (C-index: 0.940, 0.834 and 0.791, and 0.947, 0.857 and 0.810, with model 1 and model 2, respectively). Also, in ACLF, model 1 and model 2 outperformed MELDNa 7, 14 and 28 days after admission for prediction of mortality. CONCLUSIONS Models including metabolites (CLIF-C MET) reflecting SI, mitochondrial dysfunction and sympathetic system activation are better predictors of short-term mortality than scores based only on organ dysfunction (eg, MELDNa), especially in patients with ACLF.
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Affiliation(s)
- Emmanuel Weiss
- Centre de Recherchesurl' Inflammation (CRI), Universite Paris Diderot, Paris, Île-de-France, France
- INSERM UMR_S1149, University Paris Cite, Paris, France
- Department of Anesthesiology and Critical Care, Hopital Beaujon, Clichy, France
| | | | | | | | | | | | | | | | | | | | - Thierry Gustot
- Department of Hepato Gastroenterology, Erasme Hospital, Université Libre de Bruxelles, Bruxelles, Bruxelles, Belgium
| | - Wim Laleman
- Division of Liver and Biliopanreatic Disorders, KU Leuven, University of Leuven, Leuven, Belgium
| | - Agustín Albillos
- Department of Gastroenterology, Hospital Ramon y Cajal, Madrid, Spain
- Universidad de Alcala de Henares, Madrid, Spain
| | | | - Marco Domenicali
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Center for Applied Biomedical Research (CRBA), S. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Paolo Caraceni
- IRCCS Azienda-Ospedaliera Universitaria di Bologna, Department of Medical and Surgical Science - University of Bologna, Bologna, Italy
| | - Salvatore Piano
- Department of Medicine (DIMED), University of Padova, Padova, Italy
| | - Faouzi Saliba
- Centre Hepato-Biliare, Hopital Paul Brousse, Villejuif, France
| | - Stefan Zeuzem
- Department of Gastroenterology and Hepatology, J. W. Goethe-University Hospital, Frankfurt am Main, Hessen, Germany
| | | | - Julia A Wendon
- Institute of Liver Studies, King's College Hospital, London, UK
| | | | - Wenyi Gu
- Department of Internal Medicine B, University of Münster, Munster, Nordrhein-Westfalen, Germany
| | - Maria Papp
- Department of Internal Medicine, Division of Gastroenterology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Raj Mookerjee
- Institute of Liver and Digestive Health, University College London Medical School, London, UK
| | - Carmine Gabriele Gambino
- Unit of Internal Medicine and Hepatology (UIMH), Department of Medicine - DIMED, University of Padua, Padova, Veneto, Italy
| | | | - Ilaria Giovo
- Azienda Ospedaliero Universitaria Citta della Salute e della Scienza di Torino, Torino, Italy
| | - Giacomo Zaccherini
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Unit of Semeiotics, Liver and Alcohol-related Diseases, University of Bologna Hospital of Bologna Sant'Orsola-Malpighi Polyclinic, Bologna, Italy
| | - Manuela Merli
- II Department of Gastroenterology, "La Sapienza" University, Rome, Italy
| | - Antonella Putignano
- Division of Gastroenterology and Gastrointestinal Endoscopy. Vita-Salute San Raffaele University - Scientific Institute San Raffaele, Milan, Italy
| | | | - Thomas Berg
- Medizinische Klinik, Gastroenterologie und Hepatologie, Berlin, Germany
| | - Tony Bruns
- Department of Medicine III, University Hospital Aachen, Aachen, Germany
| | - Christian Trautwein
- Deptartment of Internal Medicine III, University Hospital Aachen Department of Gastroenterology Metabolic Disorders and Intensive Medicine, Aachen, Germany
| | - Alexander Zipprich
- Department of Internal Medicine IV, Jena University Hospital, Jena, Germany
| | - Rafael Bañares
- Gastroenterology, IRYCIS, Hospital General Universitario Gregorio Marañón, Madrid, Madrid, Spain
| | | | - Joan Genesca
- Internal Medicine-Liver Unit, Hospital Universitari Vall d'Hebron, Barcelona, Barcelona, Spain
- Spain
| | - Victor Vargas
- Liver Unit, Hospital Vall d'Hebron, Barcelona, Barcelona, Spain
| | | | | | - Paolo Angeli
- Department of Clinical and Experimental Medicine, University of Padova, Padova, Italy
| | | | - Joan Claria
- Department of Biochemistry/Molecular Genetics, Hospital Clínic/University of Barcelona, Barcelona, Spain
| | | | - Richard Moreau
- Centre de Recherchesurl' Inflammation (CRI), Universite Paris Diderot, Paris, Île-de-France, France
- EF Clif, Barcelona, Catalunya, Spain
- Hepatology, Hôpital Beaujon, Clichy, France
| | - Jonel Trebicka
- EF Clif, Barcelona, Catalunya, Spain
- Translational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Vicente Arroyo
- European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
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30
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Li H, Gu W, Jeffery P, Chen C. 17‐β‐estradiol reduces surface PD‐L1 expression in estrogen receptor‐positive breast cancer but not type 1 endometrial cancer cells. Clin Transl Med 2023; 13. [DOI: https:/doi.org/10.1002/ctm2.1330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2024] Open
Affiliation(s)
- Hongzhuo Li
- School of Biomedical Sciences Faculty of Medicine The University of Queensland Brisbane Queensland Australia
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology The University of Queensland Brisbane Australia
| | - Penny Jeffery
- School of Biomedical Sciences at the Translational Research Institute Queensland University of Technology Brisbane Queensland Australia
| | - Chen Chen
- School of Biomedical Sciences Faculty of Medicine The University of Queensland Brisbane Queensland Australia
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Li H, Gu W, Jeffery P, Chen C. 17-β-estradiol reduces surface PD-L1 expression in estrogen receptor-positive breast cancer but not type 1 endometrial cancer cells. Clin Transl Med 2023; 13:e1330. [PMID: 37448208 PMCID: PMC10345460 DOI: 10.1002/ctm2.1330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/29/2023] [Accepted: 07/06/2023] [Indexed: 07/15/2023] Open
Affiliation(s)
- Hongzhuo Li
- School of Biomedical SciencesFaculty of MedicineThe University of QueenslandBrisbaneQueenslandAustralia
| | - Wenyi Gu
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandBrisbaneAustralia
| | - Penny Jeffery
- School of Biomedical Sciences at the Translational Research InstituteQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Chen Chen
- School of Biomedical SciencesFaculty of MedicineThe University of QueenslandBrisbaneQueenslandAustralia
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Tang X, Li H, Deng G, Zheng X, Wang X, Huang Y, Gao Y, Meng Z, Qian Z, Liu F, Lu X, Shi Y, Li B, Gu W, Xiang X, Xiong Y, Hou Y, Chen J, Gao N, Luo S, Ji L, Li J, Zheng R, Ren H, Chen J. New Algorithm Rules Out Acute-on-chronic Liver Failure Development within 28 Days from Acute Decompensation of Cirrhosis. J Clin Transl Hepatol 2023; 11:550-559. [PMID: 36969896 PMCID: PMC10037523 DOI: 10.14218/jcth.2022.00196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/27/2022] [Accepted: 07/16/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND AND AIMS Approximately 10% of patients with acute decompensated (AD) cirrhosis develop acute-on-chronic liver failure (ACLF) within 28 days. Such cases have high mortality and are difficult to predict. Therefore, we aimed to establish and validate an algorithm to identify these patients on hospitalization. METHODS Hospitalized patients with AD who developed ACLF within 28 days were considered pre-ACLF. Organ dysfunction was defined according to the chronic liver failure-sequential organ failure assessment (CLIF-SOFA) criteria, and proven bacterial infection was taken to indicate immune system dysfunction. A retrospective multicenter cohort and prospective one were used to derive and to validate the potential algorithm, respectively. A miss rate of <5% was acceptable for the calculating algorithm to rule out pre-ACLF. RESULTS In the derivation cohort (n=673), 46 patients developed ACLF within 28 days. Serum total bilirubin, creatinine, international normalized ratio, and present proven bacterial infection at admission were associated with the development of ACLF. AD patients with ≥2 organ dysfunctions had a higher risk for pre-ACLF patients [odds ratio=16.581 95% confidence interval: (4.271-64.363), p<0.001]. In the derivation cohort, 67.5% of patients (454/673) had ≤1 organ dysfunction and two patients (0.4%) were pre-ACLF, with a miss rate of 4.3% (missed/total, 2/46). In the validation cohort, 65.9% of patients (914/1388) had ≤1 organ dysfunction, and four (0.3%) of them were pre-ACLF, with a miss rate of 3.4% (missed/total, 4/117). CONCLUSIONS AD patients with ≤1 organ dysfunction had a significantly lower risk of developing ACLF within 28 days of admission and could be safely ruled out with a pre-ACLF miss rate of <5%.
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Affiliation(s)
- Xiaoting Tang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China
- National Clinical Research Center of Infectious Disease, Hangzhou, Zhejiang, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China
- National Clinical Research Center of Infectious Disease, Hangzhou, Zhejiang, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Correspondence to: Jinjun Chen, Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. ORCID: https://orcid.org/0000-0003-4275-9149. Tex/Fax: +86-20-62787423, E-mail:
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Abratenko P, Andrade Aldana D, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hicks R, Hilgenberg C, Horton-Smith GA, Irwin B, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Miller K, Mills J, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Nunes M, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Pophale I, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, John JS, Strauss T, Sword-Fehlberg S, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Measurement of Quasielastic Λ Baryon Production in Muon Antineutrino Interactions in the MicroBooNE Detector. Phys Rev Lett 2023; 130:231802. [PMID: 37354393 DOI: 10.1103/physrevlett.130.231802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 06/26/2023]
Abstract
We present the first measurement of the cross section of Cabibbo-suppressed Λ baryon production, using data collected with the MicroBooNE detector when exposed to the neutrinos from the main injector beam at the Fermi National Accelerator Laboratory. The data analyzed correspond to 2.2×10^{20} protons on target running in neutrino mode, and 4.9×10^{20} protons on target running in anti-neutrino mode. An automated selection is combined with hand scanning, with the former identifying five candidate Λ production events when the signal was unblinded, consistent with the GENIE prediction of 5.3±1.1 events. Several scanners were employed, selecting between three and five events, compared with a prediction from a blinded Monte Carlo simulation study of 3.7±1.0 events. Restricting the phase space to only include Λ baryons that decay above MicroBooNE's detection thresholds, we obtain a flux averaged cross section of 2.0_{-1.7}^{+2.2}×10^{-40} cm^{2}/Ar, where statistical and systematic uncertainties are combined.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Hicks
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - N Oza
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Schierwagen R, Gu W, Brieger A, Brüne B, Ciesek S, Đikić I, Dimmeler S, Geisslinger G, Greten FR, Herrmann E, Hildt E, Kempf VAJ, Klein S, Koch I, Mühl H, Müller V, Peiffer KH, Kestner RI, Piiper A, Rohde G, Scholich K, Schulz MH, Storf H, Toptan T, Vasa-Nicotera M, Vehreschild MJGT, Weigert A, Wild PJ, Zeuzem S, Engelmann C, Schaefer L, Welsch C, Trebicka J. Pathogenetic mechanisms and therapeutic approaches of acute-to-chronic liver failure. Am J Physiol Cell Physiol 2023. [PMID: 37273239 DOI: 10.1152/ajpcell.00101.2023] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Liver cirrhosis is the end stage of all chronic liver diseases and contributes significantly to overall mortality of 2% globally. The age-standardized mortality from liver cirrhosis in Europe is between 10 and 20% and can be explained not only by the development of liver cancer but also by the acute deterioration in the patient's overall condition. The development of complications including accumulation of fluid in the abdomen (ascites), bleeding in the gastrointestinal tract (variceal bleeding), bacterial infections or a decrease in brain function (hepatic encephalopathy) defines an acute decompensation that requires therapy, and often leads to acute-on-chronic liver failure (ACLF) by different precipitating events. However, due to its complexity and organ-spanning nature, the pathogenesis of ACLF is poorly understood, and the common underlying mechanisms leading to the development of organ dysfunction or failure in ACLF are still elusive. Apart from general intensive care interventions, there are no specific therapy options for ACLF. Liver transplantation is often not possible in these patients due to contraindications and a lack of prioritization. In this review, we describe the framework of the ACLF-I project consortium funded by the Hessian Ministry of Higher Education, Research and the Arts (HMWK) based on existing findings and will provide answers to these open questions.
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Affiliation(s)
- Robert Schierwagen
- Department of Internal Medicine B, University of Münster, Münster, Germany
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Wenyi Gu
- Department of Internal Medicine B, University of Münster, Münster, Germany
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Angela Brieger
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Bernhard Brüne
- Institute of Biochemistry I, Faculty of Medicine, Goethe University Frankfurt, Frankfurt, Germany
| | - Sandra Ciesek
- Institute for Medical Virology, Faculty of Medicine, Goethe University Frankfurt, Frankfurt, Germany
| | - Ivan Đikić
- Institute of Biochemistry II, Goethe University Frankfurt, Frankfurt, Hessen, Germany
| | - Stafanie Dimmeler
- Institute for Cardiovascular Regeneration, Centre of Molecular Medicine, Goethe University Frankfurt, Frankfurt, Germany
| | - Gerd Geisslinger
- Fraunhofer Institute for Translational Medicine and Pharmacology, Frankfurt, Germany
- Institute for Cardiovascular Regeneration, Goethe University Frankfurt, Frankfurt, Germany
| | - Florian R Greten
- Institute for Tumor Biology and Experimental Therapy, Frankfurt, Germany
| | - Eva Herrmann
- Institute of Biostatistics and Mathematical Modeling, Goethe University Frankfurt, Frankfurt Main, Germany
| | | | - Volkhard A J Kempf
- Institute for Medical Microbiology and Infection Control, Goethe University Frankfurt, Frankfurt, Germany
| | - Sabine Klein
- Department of Internal Medicine B, University of Münster, Münster, Germany
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Ina Koch
- Institute of Computer Science, Department of Molecular Bioinformatics, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Heiko Mühl
- Institute of General Pharmacology and Toxicology, Goethe University Frankfurt, Frankfurt, Germany
| | - Volker Müller
- nstitute of Molecular Biosciences, Department of Molecular Microbiology and Bioenergetics, Goethe University Frankfurt, Frankfurt, Germany
| | - Kai-Henrik Peiffer
- Department of Internal Medicine B, University of Münster, Münster, Germany
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | | | - Albrecht Piiper
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Gernot Rohde
- Department of Respiratory Medicine and Allergology, Goethe University Frankfurt, Frankfurt, Germany
| | - Klaus Scholich
- Fraunhofer Institute for Translational Medicine and Pharmacology, Frankfurt, Germany
- Institute of Clinical Pharmacology, Goethe University Frankfurt, Frankfurt, Germany
| | - Marcel H Schulz
- Institute for Cardiovascular Regeneration, Goethe University Frankfurt, Frankfurt, Germany
| | - Holger Storf
- Institute of Medical Informatics, Goethe University Frankfurt, Frankfurt, Germany
| | - Tuna Toptan
- Institute for Medical Virology, Faculty of Medicine, Goethe University Frankfurt, Frankfurt, Germany
| | | | | | - Andreas Weigert
- Institute of Biochemistry I, Faculty of Medicine, Goethe University Frankfurt, Frankfurt, Germany
| | - Peter J Wild
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Frankfurt, Germany
| | - Stefan Zeuzem
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Cornelius Engelmann
- Department of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Liliana Schaefer
- nstitute of General Pharmacology and Toxicology,, Goethe University Frankfurt, Germany
| | - Christoph Welsch
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
| | - Jonel Trebicka
- Department of Internal Medicine B, University of Münster, Münster, Germany
- Department of Internal Medicine I, Goethe University Frankfurt, Frankfurt, Germany
- European Foundation for the Study of Chronic Liver Failure - EF Clif, Barcelona, Spain
- Institute for Bioengineering of Catalonia, Barcelona, Spain
- Department of Medical Gastroenterology and Hepatology, University of Southern Denmark, Odense, Denmark
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35
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Abratenko P, Aduszkiewicz A, Akbar F, Pons MA, Asaadi J, Aslin M, Babicz M, Badgett WF, Bagby LF, Baibussinov B, Behera B, Bellini V, Beltramello O, Benocci R, Berger J, Berkman S, Bertolucci S, Bertoni R, Betancourt M, Bettini M, Biagi S, Biery K, Bitter O, Bonesini M, Boone T, Bottino B, Braggiotti A, Brailsford D, Bremer J, Brice SJ, Brio V, Brizzolari C, Brown J, Budd HS, Calaon F, Campani A, Carber D, Carneiro M, Terrazas IC, Carranza H, Casazza D, Castellani L, Castro A, Centro S, Cerati G, Chalifour M, Chambouvet P, Chatterjee A, Cherdack D, Cherubini S, Chithirasreemadam N, Cicerchia M, Cicero V, Coan T, Cocco AG, Convery MR, Copello S, Cristaldo E, Dange AA, de Icaza Astiz I, De Roeck A, Di Domizio S, Di Noto L, Di Stefano C, Di Ferdinando D, Diwan M, Dolan S, Domine L, Donati S, Doubnik R, Drielsma F, Dyer J, Dytman S, Fabre C, Fabris F, Falcone A, Farnese C, Fava A, Ferguson H, Ferrari A, Ferraro F, Gallice N, Garcia FG, Geynisman M, Giarin M, Gibin D, Gigli SG, Gioiosa A, Gu W, Guerzoni M, Guglielmi A, Gurung G, Hahn S, Hardin K, Hausner H, Heggestuen A, Hilgenberg C, Hogan M, Howard B, Howell R, Hrivnak J, Iliescu M, Ingratta G, James C, Jang W, Jung M, Jwa YJ, Kashur L, Ketchum W, Kim JS, Koh DH, Kose U, Larkin J, Laurenti G, Lukhanin G, Marchini S, Marshall CM, Martynenko S, Mauri N, Mazzacane A, McFarland KS, Méndez DP, Menegolli A, Meng G, Miranda OG, Mladenov D, Mogan A, Moggi N, Montagna E, Montanari C, Montanari A, Mooney M, Moreno-Granados G, Mueller J, Naples D, Nebot-Guinot M, Nessi M, Nichols T, Nicoletto M, Norris B, Palestini S, Pallavicini M, Paolone V, Papaleo R, Pasqualini L, Patrizii L, Peghin R, Petrillo G, Petta C, Pia V, Pietropaolo F, Poirot J, Poppi F, Pozzato M, Prata MC, Prosser A, Putnam G, Qian X, Rampazzo G, Rappoldi A, Raselli GL, Rechenmacher R, Resnati F, Ricci AM, Riccobene G, Rice L, Richards E, Rigamonti A, Rosenberg M, Rossella M, Rubbia C, Sala P, Sapienza P, Savage G, Scaramelli A, Scarpelli A, Schmitz D, Schukraft A, Sergiampietri F, Sirri G, Smedley JS, Soha AK, Spanu M, Stanco L, Stewart J, Suarez NB, Sutera C, Tanaka HA, Tenti M, Terao K, Terranova F, Togo V, Torretta D, Torti M, Tortorici F, Tosi N, Tsai YT, Tufanli S, Turcato M, Usher T, Varanini F, Ventura S, Vercellati F, Vicenzi M, Vignoli C, Viren B, Warner D, Williams Z, Wilson RJ, Wilson P, Wolfs J, Wongjirad T, Wood A, Worcester E, Worcester M, Wospakrik M, Yu H, Yu J, Zani A, Zatti PG, Zennamo J, Zettlemoyer JC, Zhang C, Zucchelli S, Zuckerbrot M. ICARUS at the Fermilab Short-Baseline Neutrino program: initial operation. Eur Phys J C Part Fields 2023; 83:467. [PMID: 37303462 PMCID: PMC10239613 DOI: 10.1140/epjc/s10052-023-11610-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 05/12/2023] [Indexed: 06/13/2023]
Abstract
The ICARUS collaboration employed the 760-ton T600 detector in a successful 3-year physics run at the underground LNGS laboratory, performing a sensitive search for LSND-like anomalous ν e appearance in the CERN Neutrino to Gran Sasso beam, which contributed to the constraints on the allowed neutrino oscillation parameters to a narrow region around 1 eV2 . After a significant overhaul at CERN, the T600 detector has been installed at Fermilab. In 2020 the cryogenic commissioning began with detector cool down, liquid argon filling and recirculation. ICARUS then started its operations collecting the first neutrino events from the booster neutrino beam (BNB) and the Neutrinos at the Main Injector (NuMI) beam off-axis, which were used to test the ICARUS event selection, reconstruction and analysis algorithms. ICARUS successfully completed its commissioning phase in June 2022. The first goal of the ICARUS data taking will be a study to either confirm or refute the claim by Neutrino-4 short-baseline reactor experiment. ICARUS will also perform measurement of neutrino cross sections with the NuMI beam and several Beyond Standard Model searches. After the first year of operations, ICARUS will search for evidence of sterile neutrinos jointly with the Short-Baseline Near Detector, within the Short-Baseline Neutrino program. In this paper, the main activities carried out during the overhauling and installation phases are highlighted. Preliminary technical results from the ICARUS commissioning data with the BNB and NuMI beams are presented both in terms of performance of all ICARUS subsystems and of capability to select and reconstruct neutrino events.
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Affiliation(s)
| | | | - F. Akbar
- University of Rochester, Rochester, NY 14627 USA
| | - M. Artero Pons
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - J. Asaadi
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - M. Aslin
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Present Address: University of Wisconsin, Madison, USA
| | - M. Babicz
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- INP-Polish Acad. Sci, Kraków, Poland
- Present Address: University of Zurich, Zurich, Switzerland
| | - W. F. Badgett
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. F. Bagby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Baibussinov
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - B. Behera
- Colorado State University, Fort Collins, CO 80523 USA
| | - V. Bellini
- INFN Sezione di Catania and University of Catania, Catania, Italy
| | - O. Beltramello
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - R. Benocci
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - J. Berger
- Colorado State University, Fort Collins, CO 80523 USA
| | - S. Berkman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Bertolucci
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - R. Bertoni
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - M. Betancourt
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Bettini
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | | | - K. Biery
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - O. Bitter
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Present Address: Northwestern University, Evanston, USA
| | - M. Bonesini
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - T. Boone
- Colorado State University, Fort Collins, CO 80523 USA
| | - B. Bottino
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | - A. Braggiotti
- INFN Sezione di Padova and University of Padova, Padua, Italy
- Istituto di Neuroscienze, CNR, Padua, Italy
| | - D. Brailsford
- SBND Collaboration, Lancaster University, Lancaster, UK
| | - J. Bremer
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - S. J. Brice
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - V. Brio
- INFN Sezione di Catania and University of Catania, Catania, Italy
| | - C. Brizzolari
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - J. Brown
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - H. S. Budd
- University of Rochester, Rochester, NY 14627 USA
| | - F. Calaon
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - A. Campani
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | - D. Carber
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Carneiro
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - H. Carranza
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - D. Casazza
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | - L. Castellani
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - A. Castro
- Centro de Investigacion y de Estudios Avanzados del IPN (Cinvestav), Mexico City, Mexico
| | - S. Centro
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - G. Cerati
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Chalifour
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - P. Chambouvet
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | | | - D. Cherdack
- University of Houston, Houston, TX 77204 USA
| | | | | | - M. Cicerchia
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - V. Cicero
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - T. Coan
- Southern Methodist University, Dallas, TX 75275 USA
| | | | - M. R. Convery
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - S. Copello
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - E. Cristaldo
- SBND Collaboration, Universidad Nacional de Asuncion, San Lorenzo, Paraguay
| | - A. A. Dange
- University of Texas at Arlington, Arlington, TX 76019 USA
| | | | - A. De Roeck
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - S. Di Domizio
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | - L. Di Noto
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | | | - D. Di Ferdinando
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - M. Diwan
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. Dolan
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - L. Domine
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | | | - R. Doubnik
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Drielsma
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - J. Dyer
- Colorado State University, Fort Collins, CO 80523 USA
| | - S. Dytman
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - C. Fabre
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - F. Fabris
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - A. Falcone
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - C. Farnese
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - A. Fava
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - H. Ferguson
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - F. Ferraro
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | | | - F. G. Garcia
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - M. Geynisman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Giarin
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - D. Gibin
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - S. G. Gigli
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | | | - W. Gu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Guerzoni
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - A. Guglielmi
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - G. Gurung
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - S. Hahn
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - K. Hardin
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - H. Hausner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Heggestuen
- Colorado State University, Fort Collins, CO 80523 USA
| | - C. Hilgenberg
- Colorado State University, Fort Collins, CO 80523 USA
- Present Address: University of Minnesota, Minneapolis, USA
| | - M. Hogan
- Colorado State University, Fort Collins, CO 80523 USA
| | - B. Howard
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Howell
- University of Rochester, Rochester, NY 14627 USA
| | - J. Hrivnak
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - M. Iliescu
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
- Present Address: INFN-LNF, Frascati, Italy
| | - G. Ingratta
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - C. James
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Jang
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - M. Jung
- University of Chicago, Chicago, IL 60637 USA
- SBND Collaboration, Batavia, USA
| | - Y.-J. Jwa
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - L. Kashur
- Colorado State University, Fort Collins, CO 80523 USA
| | - W. Ketchum
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. S. Kim
- University of Rochester, Rochester, NY 14627 USA
| | - D.-H. Koh
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - U. Kose
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Present Address: ETH Zurich, Zurich, Switzerland
| | - J. Larkin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - G. Laurenti
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - G. Lukhanin
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Marchini
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | | | | | - N. Mauri
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - A. Mazzacane
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - D. P. Méndez
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Menegolli
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - G. Meng
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - O. G. Miranda
- Centro de Investigacion y de Estudios Avanzados del IPN (Cinvestav), Mexico City, Mexico
| | - D. Mladenov
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - A. Mogan
- Colorado State University, Fort Collins, CO 80523 USA
| | - N. Moggi
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - E. Montagna
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - C. Montanari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- On leave of absence from INFN Pavia, Pavia, Italy
| | - A. Montanari
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - M. Mooney
- Colorado State University, Fort Collins, CO 80523 USA
| | - G. Moreno-Granados
- Centro de Investigacion y de Estudios Avanzados del IPN (Cinvestav), Mexico City, Mexico
| | - J. Mueller
- Colorado State University, Fort Collins, CO 80523 USA
| | - D. Naples
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - M. Nessi
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - T. Nichols
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Nicoletto
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - B. Norris
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Palestini
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - M. Pallavicini
- INFN Sezione di Genova and University of Genova, Genoa, Italy
| | - V. Paolone
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - L. Pasqualini
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - L. Patrizii
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - R. Peghin
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - G. Petrillo
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - C. Petta
- INFN Sezione di Catania and University of Catania, Catania, Italy
| | - V. Pia
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - F. Pietropaolo
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- On leave of absence from INFN Padova, Padua, Italy
| | - J. Poirot
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - F. Poppi
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - M. Pozzato
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - M. C. Prata
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - A. Prosser
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Putnam
- University of Chicago, Chicago, IL 60637 USA
| | - X. Qian
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - G. Rampazzo
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - A. Rappoldi
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - G. L. Raselli
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - R. Rechenmacher
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Resnati
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | | | | | - L. Rice
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - E. Richards
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - A. Rigamonti
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | | | - M. Rossella
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | | | - P. Sala
- INFN Sezione di Milano, Milan, Italy
| | | | - G. Savage
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Scaramelli
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - A. Scarpelli
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - D. Schmitz
- University of Chicago, Chicago, IL 60637 USA
| | - A. Schukraft
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Sergiampietri
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Present Address: IPSI-INAF Torino, Turin, Italy
| | - G. Sirri
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | | | - A. K. Soha
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Spanu
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - L. Stanco
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - J. Stewart
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - N. B. Suarez
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - C. Sutera
- INFN Sezione di Catania and University of Catania, Catania, Italy
| | - H. A. Tanaka
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - M. Tenti
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - K. Terao
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - F. Terranova
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - V. Togo
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - D. Torretta
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Torti
- INFN Sezione di Milano Bicocca and University of Milano Bicocca, Milan, Italy
| | - F. Tortorici
- INFN Sezione di Catania and University of Catania, Catania, Italy
| | - N. Tosi
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - Y.-T. Tsai
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - S. Tufanli
- CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - M. Turcato
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - T. Usher
- SLAC National Acceleratory Laboratory, Menlo Park, CA 94025 USA
| | - F. Varanini
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - S. Ventura
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - F. Vercellati
- INFN Sezione di Pavia and University of Pavia, Pavia, Italy
| | - M. Vicenzi
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - B. Viren
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - D. Warner
- Colorado State University, Fort Collins, CO 80523 USA
| | - Z. Williams
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. J. Wilson
- Colorado State University, Fort Collins, CO 80523 USA
| | - P. Wilson
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Wolfs
- University of Rochester, Rochester, NY 14627 USA
| | | | - A. Wood
- University of Houston, Houston, TX 77204 USA
| | - E. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Wospakrik
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - H. Yu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. Yu
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - A. Zani
- INFN Sezione di Milano, Milan, Italy
| | - P. G. Zatti
- INFN Sezione di Padova and University of Padova, Padua, Italy
| | - J. Zennamo
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - C. Zhang
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. Zucchelli
- INFN Sezione di Bologna and University of Bologna, Bologna, Italy
| | - M. Zuckerbrot
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
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Zhang X, Gu W, Liu D, Zhou L, Huy NN, Wang L, Zhang J, Liu Y, Lei J. Fe(II) and Pyridinic N complex sites synergy to activate PMS for specific generation of 1O 2 to degrade antibiotics with high efficiency. Sci Total Environ 2023:164067. [PMID: 37257621 DOI: 10.1016/j.scitotenv.2023.164067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/06/2023] [Accepted: 05/07/2023] [Indexed: 06/02/2023]
Abstract
In this study, specific generation of 1O2 was achieved by activation of peroxymonosulfate (PMS) using N-doped porous carbon with Fe nanoparticles (NPC-Fe), synthesized by carbonizing MIL-88B(Fe) metal-organic frameworks modified with ionic liquid. Fe(II) in the catalyst was found to react with PMS to form •O2-, and Pyridinic N promoted the conversion of •O2- to 1O2. Consequently, the NPC-Fe/PMS reaction system could generate a large amount of 1O2 by the synergistic effect of Fe(II) and Pyridinic N. The system demonstrated excellent performance in a wide pH range for the degradation of contaminants represented by antibiotics. Additionally, the catalyst NPC-Fe had good stability and recyclability. This work provides novel insights for generating 1O2 by activation of PMS for environmental remediation.
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Affiliation(s)
- Xinxi Zhang
- National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Wenyi Gu
- National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Da Liu
- National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Liang Zhou
- National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Nguyen Nhat Huy
- Faculty of Environment and Natural Resources, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Viet Nam; Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Viet Nam
| | - Lingzhi Wang
- Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Jinlong Zhang
- Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Yongdi Liu
- National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China
| | - Juying Lei
- National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, PR China.
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Song L, Wang Y, Feng Y, Peng H, Wang C, Duan J, Liu K, Shen X, Gu W, Qi Y, Jin S, Pang L. Bioinformatics-Based Identification of CircRNA-MicroRNA-mRNA Network for Calcific Aortic Valve Disease. Genet Res (Camb) 2023; 2023:8194338. [PMID: 37234568 PMCID: PMC10208756 DOI: 10.1155/2023/8194338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 02/13/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Background Calcific aortic valve disease (CAVD) is the most common native valve disease. Valvular interstitial cell (VIC) osteogenic differentiation and valvular endothelial cell (VEC) dysfunction are key steps in CAVD progression. Circular RNA (circRNAs) is involved in regulating osteogenic differentiation with mesenchymal cells and is associated with multiple disease progression, but the function of circRNAs in CAVD remains unknown. Here, we aimed to investigate the effect and potential significance of circRNA-miRNA-mRNA networks in CAVD. Methods Two mRNA datasets, one miRNA dataset, and one circRNA dataset of CAVD downloaded from GEO were used to identify DE-circRNAs, DE-miRNAs, and DE-mRNAs. Based on the online website prediction function, the common mRNAs (FmRNAs) for constructing circRNA-miRNA-mRNA networks were identified. GO and KEGG enrichment analyses were performed on FmRNAs. In addition, hub genes were identified by PPI networks. Based on the expression of each data set, the circRNA-miRNA-hub gene network was constructed by Cytoscape (version 3.6.1). Results 32 DE-circRNAs, 206 DE-miRNAs, and 2170 DE-mRNAs were identified. Fifty-nine FmRNAs were obtained by intersection. The KEGG pathway analysis of FmRNAs was enriched in pathways in cancer, JAK-STAT signaling pathway, cell cycle, and MAPK signaling pathway. Meanwhile, transcription, nucleolus, and protein homodimerization activity were significantly enriched in GO analysis. Eight hub genes were identified based on the PPI network. Three possible regulatory networks in CAVD disease were obtained based on the biological functions of circRNAs including: hsa_circ_0026817-hsa-miR-211-5p-CACNA1C, hsa_circ_0007215-hsa-miR-1252-5p-MECP2, and hsa_circ_0007215-hsa-miR-1343-3p- RBL1. Conclusion The present bionformatics analysis suggests the functional effect for the circRNA-miRNA-mRNA network in CAVD pathogenesis and provides new targets for therapeutics.
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Affiliation(s)
- Linghong Song
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Yubing Wang
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Yufei Feng
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Hao Peng
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Chengyan Wang
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Juncang Duan
- Department of Cardiology, Jinhua Municipal Central Hospital, Jinhua, Zhejiang, China
| | - Kejian Liu
- Department of Cardiology, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Xihua Shen
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Yan Qi
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Shan Jin
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Lijuan Pang
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China
- Department of Pathology, Central People's Hospital of Zhanjiang and Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong, China
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Li LY, Li J, Li Y, Zhang W, Wang DY, Wang WL, Liang BY, Gu W. [Efficacy and safety of intravitreal dexamethasone implant in diabetic macular edema patients with and without prior vitrectomy: a retrospective cohort study]. Zhonghua Yan Ke Za Zhi 2023; 59:398-403. [PMID: 37151009 DOI: 10.3760/cma.j.cn112142-20220722-00355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Objective: To evaluate the effectiveness and safety of intravitreal dexamethasone implant (IDI) in diabetic macular edema (DME) patients with and without prior vitrectomy. Methods: A retrospective cohort study was conducted on DME patients who received IDI treatment at the Aier Eye Hospital, Beijing from March 2018 to August 2020. Patients were divided into two groups according to whether they had undergone vitrectomy or not. Clinical and follow-up data, including best-corrected visual acuity (BCVA), intraocular pressure (IOP), central macular thickness (CMT), occurrence of ocular and systemic complications, and time to DME recurrence and retreatment, were collected before and after IDI injection at 15 days, 1, 2, 3, and 6 months. Statistical analyses were performed using t-test, Mann-Whitney U-test, χ2 test or Fisher's exact test, and generalized estimating equations. Results: Thirty-six patients (41 eyes) were included, with 19 patients (21 eyes) in the vitrectomy group and 17 patients (20 eyes) in the non-vitrectomy group. Compared with baseline, BCVA of eyes in the vitrectomy group was significantly improved at 15 days after IDI injection, with values of 1.00 (0.52, 1.31) and 0.61 (0.30, 1.00), respectively (Z=-2.10, P=0.036); BCVA of eyes in the non-vitrectomy group was significantly improved at 1 month after IDI injection, with values of 0.76 (0.60, 1.35) and 0.52 (0.10, 0.70), respectively (Z=-2.24, P=0.025). Compared with baseline, CMT of eyes in both groups was significantly reduced at all follow-up time points after 15 days of IDI injection (all P<0.05). In the vitrectomy group, CMT before and 15 days after injection were 487 (438, 661) μm and 389 (340, 553) μm, respectively (Z=-3.45, P<0.001); in the non-vitrectomy group, CMT before and 15 days after injection were 486 (410, 641) μm and 323 (290, 396) μm, respectively (Z=-4.07, P<0.001). There were no statistically significant differences in BCVA and CMT between the two groups at all follow-up time points (all P>0.05). The time to DME recurrence was 3.0 (3.0, 4.0) months in the vitrectomy group and 5.0 (4.0, 5.0) months in the non-vitrectomy group, with no significant difference between the two groups (P=0.675). Four eyes (19.0%) in the vitrectomy group and three eyes (15.0%) in the non-vitrectomy group had high IOP, with no significant difference (P=0.529). No severe ocular or systemic complications were observed in any patients. Conclusions: IDI treatment is safe and effective in DME patients with and without prior vitrectomy, with similar efficacy, but with faster onset of action in patients with prior vitrectomy. There was no significant difference in DME recurrence within 6 months after IDI injection between the two groups.
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Affiliation(s)
- L Y Li
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - J Li
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - Y Li
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - W Zhang
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - D Y Wang
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - W L Wang
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - B Y Liang
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
| | - W Gu
- Beijing Aier Intech Eye Hospital, Aier School of Ophthalmology, Central South University, Beijing 100021, China
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Zhang SY, Zhang SP, Shao ZJ, Fu YZ, Gu W, Zhi H, Kong J, Deng FC, Yan WY, Liu J, Wang C, Tang S. [Developmental effects of TCIPP and TnBP on zebrafish ( Danio rerio) embryos]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:693-700. [PMID: 37165815 DOI: 10.3760/cma.j.cn112150-20230218-00124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Objective: To investigate the toxicity of tris (2-chloropropyl) phosphate (TCIPP) and tributyl phosphate (TnBP) on the growth and development of zebrafish embryos, as well as to explore the underlying mechanisms at the transcriptional level. Methods: With zebrafish as a model, two hpf zebrafish embryos were exposed to TCIPP and TnBP (0.1, 1, 10, 100, 500, and 1 000 μmol/L) using the semi-static method, and their rates of lethality and hatchability were determined. The transcriptome changes of 120 hpf juvenile zebrafish exposed to environmentally relevant concentrations of 0.1 and 1 μmol/L were measured. Results: The 50% lethal concentrations (LC50) of TCIPP and TnBP for zebrafish embryos were 155.30 and 27.62 μmol/L (96 hpf), 156.5 and 26.05 μmol/L (120 hpf), respectively. The 72 hpf hatching rates of TCIPP (100 μmol/L) and TnBP (10 μmol/L) were (23.33±7.72)% and (91.67±2.97)%, which were significantly decreased compared with the control group (P<0.05). Transcriptome analysis showed that TnBP had more differential genes (DEGs) than TCIPP, with a dose-response relationship. These DEGs were enriched in 32 pathways in total, including those involved in oxidative stress, energy metabolism, lipid metabolism, and nuclear receptor-related pathways, using the IPA pathway analysis. Among them, three enriched pathways overlapped between TCIPP and TnBP, including TR/RXR activation and CAR/RXR activation. Additionally, DEGs were also mapped onto pathways of LXR/RXR activation and oxidative stress for TnBP exposure only. Conclusion: Both TCIPP and TnBP have growth and developmental toxicities in zebrafish embryos, with distinct biomolecular mechanisms, and TnBP has a stronger effect than TCIPP.
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Affiliation(s)
- S Y Zhang
- Center for Global Health, School of Public Health/Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S P Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z J Shao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China Department of Toxicology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Y Z Fu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China Department of Toxicology, School of Public Health, China Medical University, Shenyang 110122, China
| | - W Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H Zhi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Kong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F C Deng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - W Y Yan
- Center for Global Health, School of Public Health/Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S Tang
- Center for Global Health, School of Public Health/Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health/Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Abstract
Variceal bleeding is a consequence of severe portal hypertension in patients with liver cirrhosis. Although the rate of bleeding has decreased over time, variceal bleeding in the presence of acute-on-chronic liver failure (ACLF) carries a high risk of treatment failure and short-term mortality. Treatment and/or removal of precipitating events (mainly bacterial infection and alcoholic hepatitis) and decrease of portal pressure may improve outcome of patients with acute decompensation or ACLF. Transjugular intrahepatic portosystemic shunts (TIPSs), especially in the preemptive situation, have been found to efficiently control bleeding, prevent rebleeding, and reduce short-term mortality. Therefore, TIPS placement should be considered as an option in the management of ACLF patients with variceal bleeding.
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Affiliation(s)
- Wenyi Gu
- Department of Medical Clinic B, University Hospital Muenster, Muenster, Germany
- Medical Department I, Frankfurt University Hospital, Frankfurt am Main, Germany
| | - Markus Kimmann
- Department of Medical Clinic B, University Hospital Muenster, Muenster, Germany
| | - Wim Laleman
- Department of Medical Clinic B, University Hospital Muenster, Muenster, Germany
- Department of Gastroenterology and Hepatology, Section of Liver and Biliopancreatic Disorders, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Michael Praktiknjo
- Department of Medical Clinic B, University Hospital Muenster, Muenster, Germany
| | - Jonel Trebicka
- Department of Medical Clinic B, University Hospital Muenster, Muenster, Germany
- European Foundation for Study of Chronic Liver Failure, Barcelona, Spain
- Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
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41
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Torres S, Ortiz C, Bachtler N, Gu W, Grünewald LD, Kraus N, Schierwagen R, Hieber C, Meier C, Tyc O, Joseph Brol M, Uschner FE, Nijmeijer B, Welsch C, Berres M, Garcia‐Ruiz C, Fernandez‐Checa JC, Trautwein C, Vogl TJ, Zeuzem S, Trebicka J, Klein S. Janus kinase 2 inhibition by pacritinib as potential therapeutic target for liver fibrosis. Hepatology 2023; 77:1228-1240. [PMID: 35993369 PMCID: PMC10026969 DOI: 10.1002/hep.32746] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 07/26/2022] [Accepted: 08/03/2022] [Indexed: 12/08/2022]
Abstract
BACKGROUND AND AIMS Janus kinase 2 (JAK2) signaling is increased in human and experimental liver fibrosis with portal hypertension. JAK2 inhibitors, such as pacritinib, are already in advanced clinical development for other indications and might also be effective in liver fibrosis. Here, we investigated the antifibrotic role of the JAK2 inhibitor pacritinib on activated hepatic stellate cells (HSCs) in vitro and in two animal models of liver fibrosis in vivo . APPROACH AND RESULTS Transcriptome analyses of JAK2 in human livers and other targets of pacritinib have been shown to correlate with profibrotic factors. Although transcription of JAK2 correlated significantly with type I collagen expression and other profibrotic genes, no correlation was observed for interleukin-1 receptor-associated kinase and colony-stimulating factor 1 receptor. Pacritinib decreased gene expression of fibrosis markers in mouse primary and human-derived HSCs in vitro . Moreover, pacritinib decreased the proliferation, contraction, and migration of HSCs. C 57 BL/6J mice received ethanol in drinking water (16%) or Western diet in combination with carbon tetrachloride intoxication for 7 weeks to induce alcoholic or nonalcoholic fatty liver disease. Pacritinib significantly reduced liver fibrosis assessed by gene expression and Sirius red staining, as well as HSC activation assessed by alpha-smooth muscle actin immunostaining in fibrotic mice. Furthermore, pacritinib decreased the gene expression of hepatic steatosis markers in experimental alcoholic liver disease. Additionally, pacritinib protected against liver injury as assessed by aminotransferase levels. CONCLUSIONS This study demonstrates that the JAK2 inhibitor pacritinib may be promising for the treatment of alcoholic and nonalcoholic liver fibrosis and may be therefore relevant for human pathology.
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Affiliation(s)
- Sandra Torres
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Cell Death and Proliferation, Instituto Investigaciones Biomédicas de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain
- Liver Unit‐IDIBAPS and Centro de Investigación Biomédica en Red (CIBERehd), Barcelona, Spain
| | - Cristina Ortiz
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Nadine Bachtler
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Wenyi Gu
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Leon D. Grünewald
- Department of Diagnostic and Interventional Radiology, Universit+y Hospital Frankfurt, Frankfurt am Main, Germany
| | - Nico Kraus
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Robert Schierwagen
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Christoph Hieber
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Caroline Meier
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Olaf Tyc
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Maximilian Joseph Brol
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Frank Erhard Uschner
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Bart Nijmeijer
- Research and Development Department, Linxis BV, Amsterdam, The Netherlands
| | - Christoph Welsch
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Marie‐Luise Berres
- Department of Internal Medicine III, Aachen University Hospital, Aachen, Germany
| | - Carmen Garcia‐Ruiz
- Department of Cell Death and Proliferation, Instituto Investigaciones Biomédicas de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain
- Liver Unit‐IDIBAPS and Centro de Investigación Biomédica en Red (CIBERehd), Barcelona, Spain
- Department of Medicine, University of Southern California, Research Center for Alcoholic Liver and Pancreatic Diseases and Cirrhosis, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Jose Carlos Fernandez‐Checa
- Department of Cell Death and Proliferation, Instituto Investigaciones Biomédicas de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain
- Liver Unit‐IDIBAPS and Centro de Investigación Biomédica en Red (CIBERehd), Barcelona, Spain
- Department of Medicine, University of Southern California, Research Center for Alcoholic Liver and Pancreatic Diseases and Cirrhosis, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Christian Trautwein
- Department of Internal Medicine III, Aachen University Hospital, Aachen, Germany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, Universit+y Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stefan Zeuzem
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
| | - Jonel Trebicka
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
- European Foundation for the Study of Chronic Liver Failure – EF Clif, Barcelona, Spain
| | - Sabine Klein
- Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany
- Department of Internal Medicine B, University of Münster, Münster, Germany
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Zang Z, Qiao R, Zhu Q, Zhou X, Gu W, Han B, Yang R. [Peripheral blood KCNMA1 methylation level is associated with the occurrence and progression of lung cancer]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:349-359. [PMID: 37087578 PMCID: PMC10122738 DOI: 10.12122/j.issn.1673-4254.2023.03.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
OBJECTIVE To explore the association of KCNMA1 gene methylation levels in peripheral blood with lung cancer. METHODS The methylation levels of 4 CpG sites in KCNMA1 gene were quantitatively detected in 285 patients with lung cancer, 186 age- and sex-matched patients with benign pulmonary nodules and 278 matched healthy control subjects using mass spectrometry (MALDI-TOF-MS). The association of KCNMA1 methylation levels with lung cancer was analyzed using logistic regression models adjusted for covariates. The KCNMA1 methylation levels in different subgroups of lung cancer patients were compared using Mann-Whitney U test. RESULTS In subjects over 55 years and in female subjects, the highest quartile (Q4) vs the lowest quartile (Q1) of KCNMA1_CpG_5 methylation levels were significantly correlated with lung cancer (for subjects over 55 years: OR=2.60, 95% CI: 1.25-5.41, P=0.011; for female subjects: OR=2.09, 95% CI: 1.03?4.26, P=0.042). From Q2 to Q4 of KCNMA1_CpG_5 methylation levels, their correlation with lung cancer became gradually stronger (P=0.003 and 0.038, respectively). In male subjects, the OR of Q4 of KCNMA1_CpG_5 methylation levels was 0.35 in patients with lung cancer as compared with patients with benign nodules (95% CI: 0.16-0.79, P=0.012). KCNMA1_CpG_3 methylation level was significantly lower in invasive adenocarcinoma than in noninvasive adenocarcinoma (P=0.028), and that of KCNMA1_CpG_1 was significantly higher in patients with larger tumors (T2-4) than in those with smaller tumors (T1) (P=0.021). CONCLUSION The change of peripheral blood KCNMA1 methylation level is correlated with the occurrence and development of lung cancer.
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Affiliation(s)
- Z Zang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - R Qiao
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - Q Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - X Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - W Gu
- Department of Clinical Laboratory, Jiangsu Provincial Hospital of Chinese Medicine, Nanjing 210029, China
| | - B Han
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - R Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Horvatits T, Mahmud N, Serper M, Seiz O, Reher D, Drolz A, Sarnast N, Gu W, Erasmus HP, Allo G, Ferstl P, Wittmann S, Piecha F, Groth S, Zeuzem S, Schramm C, Huber S, Rösch T, Lohse AW, Trebicka J, Ogola G, Asrani SK, Kluwe J. MELD-Lactate Predicts Poor Outcome in Variceal Bleeding in Cirrhosis. Dig Dis Sci 2023; 68:1042-1050. [PMID: 36376577 PMCID: PMC10023372 DOI: 10.1007/s10620-022-07744-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 10/20/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Predictors of poor outcome associated with variceal bleeding remain suboptimal. In patients with cirrhosis, serum lactate combined with Model for End-Stage Liver Disease (MELD-LA) improved prediction across heterogeneous populations. However, prognostic properties have not yet been assessed in the context of variceal bleeding. AIMS We aimed to evaluate the predictive performance of MELD-LA compared to MELD, lactate, and nadir hemoglobin in cirrhosis patients with variceal bleeding. METHODS In this multicenter study, we identified 472 patients with variceal bleeding from a German primary cohort (University Hospitals Hamburg/Frankfurt/Cologne), and two independent external validation cohorts [Veterans Affairs (VA), Baylor University]. Discrimination for 30-day mortality was analyzed and scores were compared. MELD-LA was evaluated separately in validation cohorts to ensure consistency of findings. RESULTS In contrast to nadir hemoglobin, MELD and peak-lactate at time of bleeding were significantly higher in 30-day non-survivors in the primary cohort (p = 0.708; p < 0.001). MELD-LA had excellent discrimination for 30-day mortality (AUROC 0.82, 95% CI 0.76-0.88), better than MELD and peak-lactate (AUROC 0.78, 95% CI 0.71-0.84; AUROC 0.73, 95% CI 0.66-0.81). MELD-LA predicted 30-day mortality independently of age, sex, severity of liver disease and vasopressor support (HR 1.29 per 1-point-increase of MELD-LA; 95% CI 1.19-1.41; p < 0.001). Similarly, MELD-LA demonstrated excellent discrimination for 30-day mortality in the VA (AUROC = 0.86, 95% CI 0.79-0.93) and Baylor cohort (AUROC = 0.85, 95% CI 0.74-0.95). CONCLUSIONS MELD-LA significantly improves discrimination of short-term mortality associated with variceal bleeding, compared to MELD, peak-lactate and nadir hemoglobin. Thus, MELD-LA might represent a useful and objective marker for risk assessment and therapeutic intervention in patients with variceal bleeding.
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Affiliation(s)
- Thomas Horvatits
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany.
| | - Nadim Mahmud
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Marina Serper
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Oliver Seiz
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Dominik Reher
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Andreas Drolz
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Naveed Sarnast
- Baylor Scott and White, Baylor University Medical Center, Dallas, TX, USA
| | - Wenyi Gu
- Department of Internal Medicine I, University of Frankfurt, Frankfurt, Germany
| | - Hans Peter Erasmus
- Department of Internal Medicine I, University of Frankfurt, Frankfurt, Germany
| | - Gabriel Allo
- Department of Gastroenterology and Hepatology, University Hospital Cologne, Cologne, Germany
| | - Phillip Ferstl
- Department of Internal Medicine I, University of Frankfurt, Frankfurt, Germany
| | - Sebastian Wittmann
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Felix Piecha
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Stefan Groth
- Department of Interdisciplinary Endoscopy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Zeuzem
- Department of Internal Medicine I, University of Frankfurt, Frankfurt, Germany
| | - Christoph Schramm
- Department of Gastroenterology and Hepatology, University Hospital Cologne, Cologne, Germany
| | - Samuel Huber
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Thomas Rösch
- Department of Interdisciplinary Endoscopy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ansgar W Lohse
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
| | - Jonel Trebicka
- Department of Internal Medicine I, University of Frankfurt, Frankfurt, Germany
| | - Gerald Ogola
- Baylor Scott and White, Baylor University Medical Center, Dallas, TX, USA
| | - Sumeet K Asrani
- Baylor Scott and White, Baylor University Medical Center, Dallas, TX, USA
| | - Johannes Kluwe
- I. Department of Medicine, Gastroenterology and Hepatology, University Medical Center Hamburg-Eppendorf, Martinistr. 42, 20246, Hamburg, Germany
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Zanetto A, Pelizzaro F, Campello E, Bulato C, Balcar L, Gu W, Gavasso S, Saggiorato G, Zeuzem S, Russo FP, Mandorfer M, Reiberger T, Trebicka J, Burra P, Simioni P, Senzolo M. Severity of systemic inflammation is the main predictor of ACLF and bleeding in individuals with acutely decompensated cirrhosis. J Hepatol 2023; 78:301-311. [PMID: 36150575 DOI: 10.1016/j.jhep.2022.09.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND & AIMS Hypercoagulability and hypofibrinolysis in acutely decompensated cirrhosis (AD) may be implicated in disease progression and haemostatic complications. We conducted a prospective study to: (1) characterise haemostatic alterations in AD; (2) evaluate whether such alterations can predict acute-on-chronic liver failure (ACLF) and bleeding/thrombosis. METHODS Hospitalised individuals with AD were prospectively recruited and underwent an extensive haemostatic profiling including coagulation factors, thrombomodulin-modified thrombin generation assay with evaluation of endogenous thrombin potential (ETP; marker for plasmatic hypercoagulability), fibrinolytic factors, and plasmin-antiplasmin complex (fibrinolysis activation marker). Inflammation severity was assessed by C-reactive protein (CRP). In part 1 of the study, we compared haemostasis in AD vs. controls (stable decompensated and compensated cirrhosis). In part 2 of the study, we prospectively followed individuals with AD for 1 year and investigated predictors of ACLF and bleeding/thrombosis. RESULTS A total of 169 individuals with AD were recruited (median model for end-stage liver disease score 20; CLIF-C AD 54). Compared with controls, AD was associated with more pronounced hypercoagulability (ETP: 871 vs. 750 vs. 605 nmol/L per min; p <0.0001), without differences in fibrinolysis activation. During follow-up, 55 individuals developed ACLF. CLIF-C AD, CRP, and Child-Pugh were independently associated with ACLF. A predictive model combining these variables (Padua model) accurately identified individuals at higher risk of ACLF (AUROC 0.857; 95% CI 0.798-0.915; sensitivity 74.5%, specificity 83.3%). Notably, CRP and progression to ACLF, but not baseline coagulopathy, were associated with bleeding (n = 11); CRP and antifibrinolytic factor PAI-1 >50 ng/ml were associated with thrombosis (n = 14). The prognostic value of the Padua model was validated in an independent, bicentric European cohort (N = 301). CONCLUSIONS Inflammation severity, and not coagulopathy, is the most important predictor of ACLF and bleeding in AD. The Padua model can be used to identify individuals with AD at risk of ACLF. IMPACT AND IMPLICATIONS A better understanding of haemostasis in individuals with acutely decompensated cirrhosis may help to identify those at higher risk of progression and complications. In this prospective study, we found no significant association between alterations of haemostasis and cirrhosis progression, indicating that the assessment of haemostatic alterations is not useful to identify those at risk. However, we found that C-reactive protein (a simple blood test that reflects severity of inflammation) and severity of chronic liver disease itself (as assessed by specific scores) were associated with cirrhosis progression and development of bleeding complications. Therefore, we developed a simple predictive model - based on C-reactive protein and liver disease scores - that, if validated by independent studies, could be used in clinical practice to assist physicians in identifying individuals with decompensated cirrhosis at higher risk of disease progression and death (i.e. in whom to consider an expedited evaluation for liver transplantation).
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Affiliation(s)
- Alberto Zanetto
- Gastroenterology and Multivisceral Transplant Unit, Azienda Ospedale - Università Padova, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Filippo Pelizzaro
- Gastroenterology and Multivisceral Transplant Unit, Azienda Ospedale - Università Padova, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Elena Campello
- General Internal Medicine and Thrombotic and Hemorrhagic Diseases Unit, Department of Medicine, Padova University Hospital, Padova, Italy
| | - Cristiana Bulato
- General Internal Medicine and Thrombotic and Hemorrhagic Diseases Unit, Department of Medicine, Padova University Hospital, Padova, Italy
| | - Lorenz Balcar
- Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Wenyi Gu
- Department of Internal Medicine I, Goethe University, Frankfurt, Germany; Department of Internal Medicine B, University Clinic Münster and Westfalen Wilhelms University, Münster, Germany
| | - Sabrina Gavasso
- General Internal Medicine and Thrombotic and Hemorrhagic Diseases Unit, Department of Medicine, Padova University Hospital, Padova, Italy
| | - Graziella Saggiorato
- General Internal Medicine and Thrombotic and Hemorrhagic Diseases Unit, Department of Medicine, Padova University Hospital, Padova, Italy
| | - Stefan Zeuzem
- Department of Internal Medicine I, Goethe University, Frankfurt, Germany
| | - Francesco Paolo Russo
- Gastroenterology and Multivisceral Transplant Unit, Azienda Ospedale - Università Padova, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Mattias Mandorfer
- Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Thomas Reiberger
- Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Jonel Trebicka
- Department of Internal Medicine I, Goethe University, Frankfurt, Germany; Department of Internal Medicine B, University Clinic Münster and Westfalen Wilhelms University, Münster, Germany; European Foundation for Study of Chronic Liver Failure (EF-Clif), Barcelona, Spain
| | - Patrizia Burra
- Gastroenterology and Multivisceral Transplant Unit, Azienda Ospedale - Università Padova, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Paolo Simioni
- General Internal Medicine and Thrombotic and Hemorrhagic Diseases Unit, Department of Medicine, Padova University Hospital, Padova, Italy.
| | - Marco Senzolo
- Gastroenterology and Multivisceral Transplant Unit, Azienda Ospedale - Università Padova, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
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Reiniš J, Petrenko O, Simbrunner B, Hofer BS, Schepis F, Scoppettuolo M, Saltini D, Indulti F, Guasconi T, Albillos A, Téllez L, Villanueva C, Brujats A, Garcia-Pagan JC, Perez-Campuzano V, Hernández-Gea V, Rautou PE, Moga L, Vanwolleghem T, Kwanten WJ, Francque S, Trebicka J, Gu W, Ferstl PG, Gluud LL, Bendtsen F, Møller S, Kubicek S, Mandorfer M, Reiberger T. Assessment of portal hypertension severity using machine learning models in patients with compensated cirrhosis. J Hepatol 2023; 78:390-400. [PMID: 36152767 DOI: 10.1016/j.jhep.2022.09.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 09/05/2022] [Accepted: 09/12/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND & AIMS In individuals with compensated advanced chronic liver disease (cACLD), the severity of portal hypertension (PH) determines the risk of decompensation. Invasive measurement of the hepatic venous pressure gradient (HVPG) is the diagnostic gold standard for PH. We evaluated the utility of machine learning models (MLMs) based on standard laboratory parameters to predict the severity of PH in individuals with cACLD. METHODS A detailed laboratory workup of individuals with cACLD recruited from the Vienna cohort (NCT03267615) was utilised to predict clinically significant portal hypertension (CSPH, i.e., HVPG ≥10 mmHg) and severe PH (i.e., HVPG ≥16 mmHg). The MLMs were then evaluated in individual external datasets and optimised in the merged cohort. RESULTS Among 1,232 participants with cACLD, the prevalence of CSPH/severe PH was similar in the Vienna (n = 163, 67.4%/35.0%) and validation (n = 1,069, 70.3%/34.7%) cohorts. The MLMs were based on 3 (3P: platelet count, bilirubin, international normalised ratio) or 5 (5P: +cholinesterase, +gamma-glutamyl transferase, +activated partial thromboplastin time replacing international normalised ratio) laboratory parameters. The MLMs performed robustly in the Vienna cohort. 5P-MLM had the best AUCs for CSPH (0.813) and severe PH (0.887) and compared favourably to liver stiffness measurement (AUC: 0.808). Their performance in external validation datasets was heterogeneous (AUCs: 0.589-0.887). Training on the merged cohort optimised model performance for CSPH (AUCs for 3P and 5P: 0.775 and 0.789, respectively) and severe PH (0.737 and 0.828, respectively). CONCLUSIONS Internally trained MLMs reliably predicted PH severity in the Vienna cACLD cohort but exhibited heterogeneous results on external validation. The proposed 3P/5P online tool can reliably identify individuals with CSPH or severe PH, who are thus at risk of hepatic decompensation. IMPACT AND IMPLICATIONS We used machine learning models based on widely available laboratory parameters to develop a non-invasive model to predict the severity of portal hypertension in individuals with compensated cirrhosis, who currently require invasive measurement of hepatic venous pressure gradient. We validated our findings in a large multicentre cohort of individuals with advanced chronic liver disease (cACLD) of any cause. Finally, we provide a readily available online calculator, based on 3 (platelet count, bilirubin, international normalised ratio) or 5 (platelet count, bilirubin, activated partial thromboplastin time, gamma-glutamyltransferase, choline-esterase) widely available laboratory parameters, that clinicians can use to predict the likelihood of their patients with cACLD having clinically significant or severe portal hypertension.
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Affiliation(s)
- Jiří Reiniš
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Oleksandr Petrenko
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD), Vienna, Austria; Vienna Hepatic Hemodynamic Lab (HEPEX), Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, Vienna, Austria
| | - Benedikt Simbrunner
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD), Vienna, Austria; Vienna Hepatic Hemodynamic Lab (HEPEX), Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, Vienna, Austria
| | - Benedikt S Hofer
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD), Vienna, Austria; Vienna Hepatic Hemodynamic Lab (HEPEX), Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, Vienna, Austria
| | - Filippo Schepis
- Unit of Gastroenterology, Hepatic Hemodynamic Laboratory, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Modena, Italy
| | - Marco Scoppettuolo
- Unit of Gastroenterology, Hepatic Hemodynamic Laboratory, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Modena, Italy
| | - Dario Saltini
- Unit of Gastroenterology, Hepatic Hemodynamic Laboratory, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Modena, Italy
| | - Federica Indulti
- Unit of Gastroenterology, Hepatic Hemodynamic Laboratory, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Modena, Italy
| | - Tomas Guasconi
- Unit of Gastroenterology, Hepatic Hemodynamic Laboratory, Università degli Studi di Modena e Reggio Emilia (UNIMORE), Modena, Italy
| | - Agustin Albillos
- Department of Gastroenterology, Hospital Universitario Ramón y Cajal, IRYCIS, CIBEREHD, Universidad de Alcalá, Madrid, Spain
| | - Luis Téllez
- Department of Gastroenterology, Hospital Universitario Ramón y Cajal, IRYCIS, CIBEREHD, Universidad de Alcalá, Madrid, Spain
| | - Càndid Villanueva
- Hospital de la Santa Creu i Sant Pau. Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anna Brujats
- Hospital de la Santa Creu i Sant Pau. Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Juan Carlos Garcia-Pagan
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut de Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona; CIBEREHD (Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas), Health Care Provider of the European Reference Network on Rare Liver Disorders, Barcelona, Spain
| | - Valeria Perez-Campuzano
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut de Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona; CIBEREHD (Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas), Health Care Provider of the European Reference Network on Rare Liver Disorders, Barcelona, Spain
| | - Virginia Hernández-Gea
- Barcelona Hepatic Hemodynamic Laboratory, Liver Unit, Hospital Clínic, Institut de Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona; CIBEREHD (Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas), Health Care Provider of the European Reference Network on Rare Liver Disorders, Barcelona, Spain
| | - Pierre-Emmanuel Rautou
- Université de Paris, AP-HP, Hôpital Beaujon, Service d'Hépatologie, DMU DIGEST, Centre de Référence des Maladies Vasculaires du Foie, FILFOIE, ERN RARE-LIVER, Centre de recherche sur l'inflammation, Inserm, UMR 1149, Paris, France
| | - Lucile Moga
- Université de Paris, AP-HP, Hôpital Beaujon, Service d'Hépatologie, DMU DIGEST, Centre de Référence des Maladies Vasculaires du Foie, FILFOIE, ERN RARE-LIVER, Centre de recherche sur l'inflammation, Inserm, UMR 1149, Paris, France
| | - Thomas Vanwolleghem
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Pediatrics (LEMP) - Gastroenterology & Hepatology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Wilhelmus J Kwanten
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Pediatrics (LEMP) - Gastroenterology & Hepatology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sven Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Pediatrics (LEMP) - Gastroenterology & Hepatology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Jonel Trebicka
- Department of Internal Medicine I, Goethe University Clinic, Frankfurt, Germany; European Foundation for the Study of Chronic Liver Failure, EFCLIF, Barcelona, Spain; Department of Internal Medicine B, WWU Münster, Münster, Germany
| | - Wenyi Gu
- Department of Internal Medicine I, Goethe University Clinic, Frankfurt, Germany; European Foundation for the Study of Chronic Liver Failure, EFCLIF, Barcelona, Spain
| | - Philip G Ferstl
- Department of Internal Medicine I, Goethe University Clinic, Frankfurt, Germany; European Foundation for the Study of Chronic Liver Failure, EFCLIF, Barcelona, Spain
| | - Lise Lotte Gluud
- Gastro Unit, Medical Section, Hvidovre Hospital and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Flemming Bendtsen
- Gastro Unit, Medical Section, Hvidovre Hospital and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Søren Møller
- Department of Clinical Physiology and Nuclear Medicine, Center for Functional and Diagnostic Imaging and Research, Faculty of Health Sciences Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark
| | - Stefan Kubicek
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Mattias Mandorfer
- Vienna Hepatic Hemodynamic Lab (HEPEX), Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, Vienna, Austria
| | - Thomas Reiberger
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD), Vienna, Austria; Vienna Hepatic Hemodynamic Lab (HEPEX), Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, Vienna, Austria.
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Queck A, Schwierz L, Gu W, Ferstl PG, Jansen C, Uschner FE, Praktiknjo M, Chang J, Brol MJ, Schepis F, Merli M, Strassburg CP, Lehmann J, Meyer C, Trebicka J. Targeted decrease of portal hepatic pressure gradient improves ascites control after TIPS. Hepatology 2023; 77:466-475. [PMID: 35869810 DOI: 10.1002/hep.32676] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/13/2022] [Accepted: 07/05/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Ascites is a definitive sign of decompensated liver cirrhosis driven by portal hypertension. Although transjugular intrahepatic portosystemic shunt insertion (TIPS) is indicated for therapy of recurrent and refractory ascites, there is no evidence-based recommendation for a specific target of portal hepatic pressure gradient (PPG) decrease. METHODS In this single-center, retrospective trial, we investigated the decrease of PPG in 341 patients undergoing TIPS insertion for therapy of refractory or recurrent ascites until 2015. During each procedure, portal and inferior vena cava pressures were invasively measured and correlated with patients' outcome and ascites progression over time, according to the prespecified Noninvasive Evaluation Program for TIPS and Follow-Up Network protocol (NCT03628807). RESULTS Patients without ascites at 6 weeks after TIPS had significantly greater PPG reduction immediately after TIPS, compared to the patients with refractory ascites (median reduction 65% vs. 55% of pre-TIPS PPG; p = 0.001). Survival was significantly better if ascites was controlled, compared to patients with need for paracentesis 6 weeks after TIPS (median survival: 185 vs. 41 weeks; HR 2.0 [1.3-2.9]; p < 0.001). Therefore, higher PPG reduction by TIPS ( p = 0.005) and lower PPG after TIPS ( p = 0.02) correlated with resolution of severe ascites 6 weeks after TIPS. Multivariable analyses demonstrated that higher Child-Pugh score before TIPS (OR 1.3 [1.0-1.7]; p = 0.03) and lower serum sodium levels (OR 0.9 [0.9-1.0]; p = 0.004) were independently associated with ascites persistence 6 weeks after TIPS, whereas PPG reduction (OR 0.98 [0.97-1.00]; p = 0.02) was associated with resolution of ascites 6 weeks after TIPS. CONCLUSION Extent of PPG reduction and/or lowering of target PPG immediately after TIPS placement is associated with improved ascites control in the short term and with survival in the long term. A structured follow-up visit for patients should assess persistence of ascites at 6 weeks after TIPS.
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Affiliation(s)
- Alexander Queck
- Department of Internal Medicine 1 , University Hospital Frankfurt, Johann Wolfgang Goethe-University , Frankfurt am Main , Germany
| | - Louise Schwierz
- Department of Internal Medicine I , University Hospital Bonn , Bonn , Germany
| | - Wenyi Gu
- Department of Internal Medicine 1 , University Hospital Frankfurt, Johann Wolfgang Goethe-University , Frankfurt am Main , Germany.,Department of Internal Medicine B , University of Münster , Münster , Germany
| | - Philip G Ferstl
- Department of Internal Medicine 1 , University Hospital Frankfurt, Johann Wolfgang Goethe-University , Frankfurt am Main , Germany
| | - Christian Jansen
- Department of Internal Medicine I , University Hospital Bonn , Bonn , Germany
| | - Frank E Uschner
- Department of Internal Medicine 1 , University Hospital Frankfurt, Johann Wolfgang Goethe-University , Frankfurt am Main , Germany.,Department of Internal Medicine B , University of Münster , Münster , Germany
| | - Michael Praktiknjo
- Department of Internal Medicine I , University Hospital Bonn , Bonn , Germany.,Department of Internal Medicine B , University of Münster , Münster , Germany
| | - Johannes Chang
- Department of Internal Medicine I , University Hospital Bonn , Bonn , Germany
| | - Maximilian J Brol
- Department of Internal Medicine 1 , University Hospital Frankfurt, Johann Wolfgang Goethe-University , Frankfurt am Main , Germany.,Department of Internal Medicine B , University of Münster , Münster , Germany
| | - Filippo Schepis
- Division of Gastroenterology , Azienda Ospedaliero-Universitaria di Modena and University of Modena and Reggio Emilia , Modena , Italy
| | - Manuela Merli
- Gastroenterology, Department of Translational and Precision Medicine , Sapienza University of Rome , Rome , Italy
| | | | - Jennifer Lehmann
- Department of Internal Medicine I , University Hospital Bonn , Bonn , Germany
| | - Carsten Meyer
- Department of Radiology , University Hospital, University Bonn , Bonn , Germany
| | - Jonel Trebicka
- Department of Internal Medicine 1 , University Hospital Frankfurt, Johann Wolfgang Goethe-University , Frankfurt am Main , Germany.,Department of Internal Medicine B , University of Münster , Münster , Germany.,European Foundation for the Study of Chronic Liver Failure , Barcelona , Spain
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Li Y, Xu H, Tan X, Cui Q, Gu W, Pan Z, Yang L, Wu S, Wang X, Li D. Parthenolide inhibits proliferation of cells infected with Kaposi's sarcoma-associated herpesvirus by suppression of the NF-κB signaling pathway. Arch Virol 2023; 168:39. [PMID: 36609933 DOI: 10.1007/s00705-022-05626-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 10/19/2022] [Indexed: 01/09/2023]
Abstract
The disease caused by Kaposi's sarcoma-associated herpesvirus (KSHV) is one of the major causes of death of individuals with acquired immunodeficiency syndrome (AIDS). Development of anti-KSHV drugs is thus crucial. In this study, we investigated the effect of parthenolide (PTL) on the proliferation and NF-κB signaling pathway of KSHV-infected cells. iSLK.219 and KSHV-infected SH-SY5Y cells (SK-RG) were treated with PTL, TaqMan real-time quantitative PCR was used to determine the number of copies of the KSHV genome, and mRNA and protein expression of KSHV genes were analyzed by real-time PCR and immunocytochemistry. A cell viability test was used to measure cell proliferation, and flow cytometry was used to examine the effect of the drug on the cell cycle. Cyclin D1, CDK6, CDK4, and NF-κB-related proteins, including IKKβ, P-p65, and P-IKB-α, were detected by Western blot. The results showed that PTL altered the morphology of the cells, reduced the KSHV copy number, and suppressed the production of ORF50, K8.1, and v-GPCR mRNA and the LANA, ORF50, and K8.1 proteins. It blocked the G1 phase in iSLK.219 cells and decreased the levels of cyclin D1, CDK6, and CDK4 as well as the levels of NF-κB signaling proteins, including IKKβ, P-p65, and P-IKB-α. Together, these results suggest that PTL is a candidate drug that can decrease KSHV pathogenicity by suppressing cell proliferation and inhibiting the NF-κB signaling pathway in KSHV-infected cells.
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Affiliation(s)
- Ying Li
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases/NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi University, Shihezi, 832002, Xinjiang, China
- School of Medicine, Tarim University, Alaer, 843300, Xinjiang, China
| | - Huiling Xu
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases/NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi University, Shihezi, 832002, Xinjiang, China
| | - Xiaohua Tan
- School of Medicine, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, China
| | - Qinghua Cui
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China
| | - Wenyi Gu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), University of Queensland (UQ), Corner College and Cooper Roads (Building 75), St Lucia, Brisbane, QLD, 4072, Australia
| | - Zemin Pan
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases/NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi University, Shihezi, 832002, Xinjiang, China
| | - Lei Yang
- School of Medicine, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, China
| | - Shuyuan Wu
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases/NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi University, Shihezi, 832002, Xinjiang, China
| | - Xiaolu Wang
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases/NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi University, Shihezi, 832002, Xinjiang, China
| | - Dongmei Li
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases/NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi University, Shihezi, 832002, Xinjiang, China.
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48
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Abratenko P, Andrade Aldana D, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow J, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hicks R, Hilgenberg C, Horton-Smith GA, Irwin B, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Miller K, Mills J, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Nunes M, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Pophale I, Prince S, Qian X, Raaf JL, Radeka V, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, St John J, Strauss T, Sword-Fehlberg S, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Constraints on Light Sterile Neutrino Oscillations from Combined Appearance and Disappearance Searches with the MicroBooNE Detector. Phys Rev Lett 2023; 130:011801. [PMID: 36669216 DOI: 10.1103/physrevlett.130.011801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
We present a search for eV-scale sterile neutrino oscillations in the MicroBooNE liquid argon detector, simultaneously considering all possible appearance and disappearance effects within the 3+1 active-to-sterile neutrino oscillation framework. We analyze the neutrino candidate events for the recent measurements of charged-current ν_{e} and ν_{μ} interactions in the MicroBooNE detector, using data corresponding to an exposure of 6.37×10^{20} protons on target from the Fermilab booster neutrino beam. We observe no evidence of light sterile neutrino oscillations and derive exclusion contours at the 95% confidence level in the plane of the mass-squared splitting Δm_{41}^{2} and the sterile neutrino mixing angles θ_{μe} and θ_{ee}, excluding part of the parameter space allowed by experimental anomalies. Cancellation of ν_{e} appearance and ν_{e} disappearance effects due to the full 3+1 treatment of the analysis leads to a degeneracy when determining the oscillation parameters, which is discussed in this Letter and will be addressed by future analyses.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | | | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Hicks
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - K Manivannan
- Syracuse University, Syracuse, New York 13244, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - K Miller
- University of Chicago, Chicago, Illinois 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - M Nunes
- Syracuse University, Syracuse, New York 13244, USA
| | - N Oza
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - I D Ponce-Pinto
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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49
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Gu W, Zhou J, Peng Y, Cai H, Wang H, Wan W, Li H, Xu C, Chen L. Prognostic Significance of Serum Chloride Level Reduction in Patients with Chronic Heart Failure with Different Ejection Fractions. Int Heart J 2023; 64:700-707. [PMID: 37518352 DOI: 10.1536/ihj.22-734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Little is known regarding the prognostic value of serum chloride in patients with chronic heart failure (CHF) with different ejection fractions. We sought to determine the postdischarge outcomes associated with lower serum chloride between different CHF types.We reviewed the medical records of 1221 consecutive patients with CHF admitted to the First Affiliated Hospital of Kunming Medical University from January 2017 to October 2021. After excluding patients with in-hospital death, missing follow-up data, missing serum chloride level data, or chronic dialysis therapy, 791 patients were included. Of these patients, 343 had heart failure with reduced ejection fraction (HFrEF; i.e., left ventricular ejection fraction (LVEF) < 40%), and 448 had heart failure with preserved ejection fraction (HFpEF) or heart failure with median ejection fraction (HFmrEF; HFpEF plus HFmrEF; i.e., LVEF ≥40%). Over a median follow-up of 750 days, 344 patients (43.5%) had all-cause mortality. In the univariate analysis, serum sodium and chloride were strongly associated with mortality in both HF subgroups (P < 0.0001). A multivariable model including both serum sodium and chloride showed the highly significant association between serum chloride and survival (P < 0.0001), whereas the association between serum sodium and mortality was not reported (HFpEF plus HFmrEF, hazard ratio (HR) 0.975, 95% confidence interval [CI] 0.942-1.010, P = 0.158; HFrEF, HR 1.007, 95% CI 0.966-1.051, P = 0.734). Kaplan-Meier survival curve analysis revealed a significant difference in mortality risk with decreasing chloride levels in all patients with CHF. The optimal cutoff value of chloride in predicting all-cause mortality was 102.95 mmol/L with area under the curve value of 0.76 [HR 0.760, 95% CI 0.727-0.793, P < 0.0001], sensitivity of 60.2%, and specificity of 78.3%.Lower serum chloride is an independent predictor of death in CHF, regardless of heart failure subtype.
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Affiliation(s)
- Wenyi Gu
- Kunming Medical University First Affiliated Hospital
| | - Jing Zhou
- Kunming Medical University First Affiliated Hospital
| | - Yunzhu Peng
- Kunming Medical University First Affiliated Hospital
| | - Hongyan Cai
- Kunming Medical University First Affiliated Hospital
| | - Huawei Wang
- Kunming Medical University First Affiliated Hospital
| | - Wen Wan
- Kunming Medical University First Affiliated Hospital
| | - Hongxia Li
- Kunming Medical University First Affiliated Hospital
| | - Chenggong Xu
- Kunming Medical University First Affiliated Hospital
| | - Lixing Chen
- Kunming Medical University First Affiliated Hospital
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50
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Gu W, Zhao H, Yuan H, Zhao S. Dehydrocostus Lactone Reduced Malignancy of HepG2 Human Hepatocellular Carcinoma Cells via Down-Regulation of the PI3K/AKT Signaling Pathway. Bull Exp Biol Med 2023; 174:360-364. [PMID: 36723745 DOI: 10.1007/s10517-023-05708-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Indexed: 02/02/2023]
Abstract
We studied the effect of dehydrocostus lactone (DHL) on the biological characteristics of HepG2 human hepatocellular carcinoma cells. The inhibition of cell viability by different concentrations of DHL (10, 20, 40, 80, and 160 μmol/liter) was measured using MTT test. As the determined half-maximum inhibitory concentration (IC50) was 20.33 μmol/liter, DHL in a concentration of 20 μmol/liter was used in further experiments. Cell proliferation, migration, invasion ability, and apoptosis were assessed by Ki-67 immunofluorescence, Transwell assay, and TUNEL analysis. The level of p-AKT protein was determined by Western blotting. DHL significantly inhibited the viability, proliferation, migration, and invasion of HepG2 cells in comparison with the control group, and induced cells apoptosis. DHL down-regulated the expression of p-AKT protein in the HepG2 cells in comparison with the control group. PI3K/AKT signaling pathway activator 740Y-P could block the above-mentioned effects of DHL. Thus, DHL inhibits the malignancy of HepG2 human hepatocellular carcinoma cells via down-regulation of PI3K/AKT signaling pathway.
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Affiliation(s)
- W Gu
- Department of Intervention Therapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - H Zhao
- Department of Intervention Therapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - H Yuan
- Department of Intervention Therapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - S Zhao
- Department of Intervention Therapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
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