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Li S, Xu Z, Zhang S, Sun H, Qin X, Zhu L, Jiang T, Zhou J, Yan F, Deng Q. Non-coding RNAs in acute ischemic stroke: from brain to periphery. Neural Regen Res 2025; 20:116-129. [PMID: 38767481 DOI: 10.4103/nrr.nrr-d-23-01292] [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] [Received: 08/02/2023] [Accepted: 12/18/2023] [Indexed: 05/22/2024] Open
Abstract
Acute ischemic stroke is a clinical emergency and a condition with high morbidity, mortality, and disability. Accurate predictive, diagnostic, and prognostic biomarkers and effective therapeutic targets for acute ischemic stroke remain undetermined. With innovations in high-throughput gene sequencing analysis, many aberrantly expressed non-coding RNAs (ncRNAs) in the brain and peripheral blood after acute ischemic stroke have been found in clinical samples and experimental models. Differentially expressed ncRNAs in the post-stroke brain were demonstrated to play vital roles in pathological processes, leading to neuroprotection or deterioration, thus ncRNAs can serve as therapeutic targets in acute ischemic stroke. Moreover, distinctly expressed ncRNAs in the peripheral blood can be used as biomarkers for acute ischemic stroke prediction, diagnosis, and prognosis. In particular, ncRNAs in peripheral immune cells were recently shown to be involved in the peripheral and brain immune response after acute ischemic stroke. In this review, we consolidate the latest progress of research into the roles of ncRNAs (microRNAs, long ncRNAs, and circular RNAs) in the pathological processes of acute ischemic stroke-induced brain damage, as well as the potential of these ncRNAs to act as biomarkers for acute ischemic stroke prediction, diagnosis, and prognosis. Findings from this review will provide novel ideas for the clinical application of ncRNAs in acute ischemic stroke.
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Affiliation(s)
- Shuo Li
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Zhaohan Xu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Shiyao Zhang
- Department of Neurology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, China
| | - Huiling Sun
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xiaodan Qin
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Lin Zhu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Teng Jiang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Fuling Yan
- Department of Neurology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, China
| | - Qiwen Deng
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
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Li S, Chu T. Preparation and bioevaluation of a novel 99mTc-labelled propylene amine oxime (PnAO) containing two 4-methyl-2-nitroimidazole groups as a promising tumor hypoxia imaging agent. Bioorg Med Chem Lett 2024; 106:129773. [PMID: 38677561 DOI: 10.1016/j.bmcl.2024.129773] [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: 03/11/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 04/29/2024]
Abstract
Hypoxia is a common phenomenon in solid tumors, and its presence inhibits the efficacy of tumor chemotherapy and radiotherapy. Accurate measurement of hypoxia before tumor treatment is essential. Three propylene amine oxime (PnAO) derivatives with different substituents attached to 2-nitroimidazole were synthesized in the work, they are 3,3,9,9-tetramethyl-1,11-bis(4-bromo-2-nitro-1H-imidazol-1-yl)-4,8-diazaundecane-2,10-dione dioxime (Br2P2), 3,3,9,9-tetramethyl-1,11-bis(4-methyl-2-nitro-1H-imidazol-1-yl)-4,8-diazaundecane-2,10-dione dioxime (Me2P2) and 3,3,9,9-tetramethyl-1,11-bis(4,5-dimethyl-2-nitro-1H-imidazol-1-yl)-4,8-diazaundecane-2,10-dione dioxime (2Me2P2). The three compounds were radiolabeled with 99mTc to give three complexes([99mTc]Tc-Br2P2, [99mTc]Tc-Me2P2 and [99mTc]Tc-2Me2P2) with good in vitro stability. [99mTc]Tc-Me2P2 with a more suitable reduction potential had the highest hypoxic cellular uptake, compared with [99mTc]Tc-2P2 that have been previously reported, [99mTc]Tc-Br2P2 and [99mTc]Tc-2Me2P2. Biodistribution results in S180 tumor-bearing mice demonstrated that [99mTc]Tc-Me2P2 had the highest tumor-to-muscle (T/M) ratio (12.37 ± 1.16) at 2 h in the four complexes. Autoradiography and immunohistochemical staining results revealed that [99mTc]Tc-Me2P2 specifically targeted tumor hypoxic regions. The SPECT/CT imaging results showed that [99mTc]Tc-Me2P2 could target the tumor site. [99mTc]Tc-Me2P2 may become a potential hypoxia imaging agent.
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Affiliation(s)
- Shuo Li
- Radiochemistry and Radiation Chemistry Key Laboratory of Fundamental Science, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Taiwei Chu
- Radiochemistry and Radiation Chemistry Key Laboratory of Fundamental Science, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
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Li S, Li F, Bao Y, Peng A, Lyu B. Polyethylene and sulfa antibiotic remediation in soil using a multifunctional degrading bacterium. Sci Total Environ 2024; 930:172619. [PMID: 38649045 DOI: 10.1016/j.scitotenv.2024.172619] [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] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/29/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024]
Abstract
To obtain a multifunctional bacterium that can effectively degrade polyethylene (PE) and sulfonamide antibiotics (SAs), PE and SAs were selected as the primary research objects. Multifunctional degrading bacteria were isolated and screened from an environment in which plastics and antibiotics have existed for a long time. An efficient degrading strain, Raoultella sp., was screened by measuring the degradation performance of PE and SAs. We analyzed the changes in the microbial community of indigenous bacteria using 16S rRNA. After 60 d of degradation at 28 °C, the Raoultella strain to PE degradation rate was 4.20 %. The SA degradation rates were 96 % (sulfonathiazole, (ST)), 86 % (sulfamerazine, (SM)), 72 % (sulfamethazine, (SM2)) and 64 % (sulfamethoxazole, (SMX)), respectively. This bacterium increases the surface roughness of PE plastic films and produces numerous gullies, pits, and folds. In addition, after 60 d, the contact angle of the plastic film decreased from 92.965° to 70.205°, indicating a decrease in hydrophobicity. High-throughput sequencing analysis of the degrading bacteria revealed that the Raoultella strain encodes enzymes involved in PE and SA degradation. The results of this study not only provide a theoretical basis for further study of the degradation mechanism of multifunctional and efficient degrading bacteria but also provide potential strain resources for the biodegradation of waste plastics and antibiotics in the environment.
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Affiliation(s)
- Shuo Li
- College of Environmental Science and Engineering, Qingdao University, Qingdao, China; Carbon Neutrality and Eco-Environmental Technology Innovation Center of Qingdao, Qingdao 266071, China.
| | - Fachao Li
- College of Environmental Science and Engineering, Qingdao University, Qingdao, China; Carbon Neutrality and Eco-Environmental Technology Innovation Center of Qingdao, Qingdao 266071, China
| | - Yanwei Bao
- College of Environmental Science and Engineering, Qingdao University, Qingdao, China; Carbon Neutrality and Eco-Environmental Technology Innovation Center of Qingdao, Qingdao 266071, China
| | - Ankai Peng
- College of Environmental Science and Engineering, Qingdao University, Qingdao, China; Carbon Neutrality and Eco-Environmental Technology Innovation Center of Qingdao, Qingdao 266071, China
| | - Boya Lyu
- College of Environmental Science and Engineering, Qingdao University, Qingdao, China; Carbon Neutrality and Eco-Environmental Technology Innovation Center of Qingdao, Qingdao 266071, China
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Wang W, Li S, Zhuang B, Wang H, Ren Y, Xu L. Clinical and cardiac MRI characteristics: prognosis in patients with alcoholic cardiomyopathy. Clin Radiol 2024; 79:e834-e841. [PMID: 38556393 DOI: 10.1016/j.crad.2024.02.005] [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: 06/01/2023] [Revised: 11/29/2023] [Accepted: 02/09/2024] [Indexed: 04/02/2024]
Abstract
AIMS Alcoholic cardiomyopathy (ACM) is recognized as a type of non-ischemic dilated cardiomyopathy (DCM). To date, the clinical prognosis of ACM remains a topic of debate in previous studies and there are limited studies on its cardiac MRI characteristics. The aim of this study was to summarize the clinical and MRI features of ACM patients and to identify the predictors of adverse prognosis based on clinical characteristics and MRI imaging findings. MATERIALS AND METHODS Adult patients who were clinically diagnosed with ACM and underwent enhanced CMR between September 2015 and August 2022 were retrospectively enrolled. The primary endpoints were major adverse cardiovascular events, including cardiac-related death, heart transplantation, hospitalization for heart failure and life-threatening ventricular arrhythmias (sustained ventricular tachycardia, ventricular fibrillation, or ICD shock). The risk factors associated with these primary end points were identified using multivariable Cox analysis. RESULTS A total of 62 ACM patients (50 ± 9 years, 62 men) were included. The majority of patients presented with symptoms of heart failure. Over a median follow-up period of 30.3 months (IQR 12.2-57.7 months), 24 patients reached the primary endpoints. For clinical variables, multivariable analysis showed that drinking duration (HR=1.05; 95%CI:1.01, 1.11; p=0.03) and persistent drinking (HR=3.71; 95%CI:1.46, 9.44; p=0.01) were associated with MACE. For CMR variables, late gadolinium enhancement (LGE) percent (HR = 1.09; 95% CI: 1.03, 1.14; p<0.001) stood out as an independent predictor for MACE. CONCLUSIONS In ACM patients, persistent drinking and cardiac MRI-defined myocardial scar were associated with adverse outcomes such as cardiac death, heart transplantation, hospitalization for heart failure or life-threatening ventricular arrhythmias.
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Affiliation(s)
- W Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - S Li
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - B Zhuang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - H Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Y Ren
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - L Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
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Liu J, Li J, Duan Y, Zhou Y, Fan X, Li S, Chang S. MA-MIL: Sampling point-level abnormal ECG location method via weakly supervised learning. Comput Methods Programs Biomed 2024; 250:108164. [PMID: 38718709 DOI: 10.1016/j.cmpb.2024.108164] [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] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 05/15/2024]
Abstract
BACKGROUND AND OBJECTIVE Current automatic electrocardiogram (ECG) diagnostic systems could provide classification outcomes but often lack explanations for these results. This limitation hampers their application in clinical diagnoses. Previous supervised learning could not highlight abnormal segmentation output accurately enough for clinical application without manual labeling of large ECG datasets. METHOD In this study, we present a multi-instance learning framework called MA-MIL, which has designed a multi-layer and multi-instance structure that is aggregated step by step at different scales. We evaluated our method using the public MIT-BIH dataset and our private dataset. RESULTS The results show that our model performed well in both ECG classification output and heartbeat level, sub-heartbeat level abnormal segment detection, with accuracy and F1 scores of 0.987 and 0.986 for ECG classification and 0.968 and 0.949 for heartbeat level abnormal detection, respectively. Compared to visualization methods, the IoU values of MA-MIL improved by at least 17 % and at most 31 % across all categories. CONCLUSIONS MA-MIL could accurately locate the abnormal ECG segment, offering more trustworthy results for clinical application.
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Affiliation(s)
- Jin Liu
- Division of Biomedical Engineering, China Medical University, China
| | - Jiadong Li
- Division of Biomedical Engineering, China Medical University, China
| | - Yuxin Duan
- Division of Biomedical Engineering, China Medical University, China
| | - Yang Zhou
- Division of Biomedical Engineering, China Medical University, China
| | - Xiaoxue Fan
- Division of Biomedical Engineering, China Medical University, China
| | - Shuo Li
- School of Life Sciences, China Medical University, Shenyang, China
| | - Shijie Chang
- Division of Biomedical Engineering, China Medical University, China.
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Li S, Zhang R, Zhang X, Zhang T, Cao D, Xiang Y, Yang J. Component Patterns and Survival Outcomes in Patients with Mixed Malignant Ovarian Germ Cell Tumors: A Retrospective Cohort Study. Clin Oncol (R Coll Radiol) 2024; 36:370-377. [PMID: 38555208 DOI: 10.1016/j.clon.2024.03.010] [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: 06/11/2023] [Revised: 01/02/2024] [Accepted: 03/11/2024] [Indexed: 04/02/2024]
Abstract
AIMS To evaluate the component patterns and risk stratification in patients with mixed malignant ovarian germ cell tumors (mMOGCT). METHODS A retrospective study of 70 mMOGCT patients treated in our hospital between 2000 and 2022 was conducted. The recurrence-free survival (RFS), disease-specific survival (DSS), and risk stratification systems based on scoring the identified prognostic factors were assessed. RESULTS Yolk sac tumor component was the most common type (80%), followed by dysgerminoma (50%), immature teratoma (40%), embryonic carcinoma (27.1%), and chorionic carcinoma (15.7%). The 5-year RFS and DSS rates were 77.9% and 87.9%, respectively. International federation of gynecology and obstetrics (FIGO) stage III-IV (RR 3.253, P = 0.029) and normalization of tumor marker (TM) ≤ 3 cycles of chemotherapy (RR 6.249, P = 0.017) were risk factors for RFS and DSS, respectively. Significant DSS (RR 8.268, P = 0.006) was also noted between patients who had normalized TM ≤ 4 and ≥5 cycles of chemotherapy. FIGO stages I-II and stages III-IV were scored as 0 and 2, respectively. AFP normalization ≤3, 4, and ≥5 cycles of chemotherapy were scored as 0, 1, and 4, respectively. A total score of 0, 1-2, and ≥3 stratified patients into low-risk (43 patients), intermediate-risk (13 patients), and high-risk groups (14 patients), respectively. Patients in three risk stratifications manifested significant differences in DSS (P = 0.010) but not in RFS (P > 0.05). CONCLUSION Distinct different component patterns existed among mMOGCT patients, and predicting survival outcomes in a universal model was challenging.
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Affiliation(s)
- S Li
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - R Zhang
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - X Zhang
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - T Zhang
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - D Cao
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - Y Xiang
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - J Yang
- National Clinical Research Center for Obstetric and Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China.
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Ding Y, Zhu C, Li S, Liu N, Liu Q, Li W, Zhao C, Yuan B. Breastfeeding and risk of food allergy and allergic rhinitis in offspring: a systematic review and meta-analysis of cohort studies. Eur J Pediatr 2024:10.1007/s00431-024-05580-w. [PMID: 38771371 DOI: 10.1007/s00431-024-05580-w] [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: 01/10/2024] [Revised: 04/10/2024] [Accepted: 04/19/2024] [Indexed: 05/22/2024]
Abstract
The association between breastfeeding and the occurrence of allergic rhinitis (AR) and food allergy (FA) in offspring remains inconclusive. This review aims to comprehensively explore the potential relationships between various patterns and durations of breastfeeding and allergic diseases in offspring. We systematically searched PubMed, EMBASE, Cochrane, WOS databases, and Google Scholar for observational studies published up to March 30, 2023, that investigated the link between breastfeeding and allergies in offspring. The quality of the studies was assessed using the Newcastle-Ottawa Scale (NOS) and Joanna Briggs Institute (JBI). Pooled odds ratios (OR) and 95% confidence intervals (95% CI) were calculated employing an appropriate model based on the degree of heterogeneity. A total of 68 studies, encompassing 772,142 children, were ultimately included. The findings indicated that breastfeeding for more than 6 months was associated with a reduced risk of AR (OR = 0.88, 95% CI: 0.79 to 0.98) but posed a risk for FA (OR = 1.69, 95% CI: 1.27 to 2.25). Exclusive breastfeeding exhibited a protective effect against AR (OR = 0.94, 95% CI: 0.90 to 0.97), whereas non-breastfeeding was identified as a risk factor for AR (OR = 1.48; 95% CI: 1.03 to 2.12). No significant association was observed between breastfeeding patterns and FA. CONCLUSION Breastfeeding for more than 6 months proves to be an effective preventive measure against AR. However, large prospective high-quality studies are needed to investigate the potential risk of FA in children with prolonged breastfeeding. WHAT IS KNOWN • The impact of breastfeeding on allergic rhinitis and food allergy in offspring is controversial. • Previous meta-analyses fail to prove the effect of breastfeeding on food allergy in offspring of all ages. WHAT IS NEW • Breastfeeding for more than 6 months proves to be an effective preventive measure against AR. However, it potentially elevates the risk of FA in children. Non-breastfeeding is linked to an increased risk of AR in children, but there is no evidence of an association between breastfeeding patterns and FA in children. • The impact of breastfeeding on allergic rhinitis and food allergy in offspring may vary with the time and pattern of breastfeeding.
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Affiliation(s)
- Yali Ding
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China
- Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210023, China
- Nanjing Gaochun Traditional Chinese Medicine Hospital, Nanjing Jiangsu, 211300, China
| | - Chengbi Zhu
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China
- Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210023, China
| | - Shuo Li
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China
- Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210023, China
| | - Naixu Liu
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China
- Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210023, China
| | - Qian Liu
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China
- Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210023, China
| | - Weifeng Li
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China
- Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210023, China
| | - Changjiang Zhao
- Department of Pediatrics, Jiangyin Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangyin Jiangsu, 214400, China.
| | - Bin Yuan
- Department of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210004, China.
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Li S, Li W, Chang L, Wan J, Chen S, Zhang X, He Q, Liu M. Sex-specific association of serum dehydroepiandrosterone and its sulfate levels with osteoporosis in type 2 diabetes. J Bone Miner Metab 2024:10.1007/s00774-024-01511-9. [PMID: 38769209 DOI: 10.1007/s00774-024-01511-9] [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: 01/13/2024] [Accepted: 04/04/2024] [Indexed: 05/22/2024]
Abstract
INTRODUCTION This study is to investigate the relation between serum dehydroepiandrosterone (DHEA) and its sulfate (DHEAS) levels and the risk of osteoporosis in patients with T2DM. MATERIALS AND METHODS This cross-sectional study involved 938 hospitalized patients with T2DM. Linear regression models were used to explore the relationship between DHEA and DHEAS and the BMD at different skeletal sites. Multinominal logistic regression models and the restricted cubic spline (RCS) were used to evaluate the associations of DHEA and DHEAS with the risks of osteopenia and/or osteoporosis. RESULTS In postmenopausal women with T2DM, after adjustment for confounders including testosterone and estradiol, DHEA showed a significant positive correlation with lumbar spine BMD (P = 0.013). Moreover, DHEAS exhibited significant positive correlations with BMD at three skeletal sites: including femoral neck, total hip, and lumbar spine (all P < 0.05). Low DHEA and DHEAS levels were associated with increased risk of osteopenia and/or osteoporosis (all P < 0.05) and the risk of osteoporosis gradually decreased with increasing DHEAS levels (P overall = 0.018, P-nonlinear = 0.559). However, DHEA and DHEAS levels in men over the age of 50 with T2DM were not associated with any of above outcomes. CONCLUSION In patients with T2DM, independent of testosterone and estradiol, higher DHEA and DHEAS levels are associated with higher BMD and lower risk of osteopenia/osteoporosis in postmenopausal women but not men over the age of 50.
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Affiliation(s)
- Shuo Li
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Wei Li
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Lina Chang
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Jieying Wan
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Shanshan Chen
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Xinxin Zhang
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
| | - Qing He
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
| | - Ming Liu
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
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Li S, Zhang T, Zheng H, Dong X, Leong YK, Chang JS. Advances and challenges in the removal of organic pollutants via sulfate radical-based advanced oxidation processes by Fe-based metal-organic frameworks: A review. Sci Total Environ 2024; 926:171885. [PMID: 38527540 DOI: 10.1016/j.scitotenv.2024.171885] [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: 01/21/2024] [Revised: 03/03/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
Organic contaminants, notorious for their complexity and resistance to degradation, are prevalent in aquatic environments, posing severe threats to ecosystems. Sulfate radical-based advanced oxidation processes (SR-AOPs), known for their stability and high effectiveness, have become a common choice for treating organic wastewater. Metal-organic framework materials (MOFs) have garnered substantial attention due to their facile chemical manipulation, unique structural configurations, and other favorable properties. Therefore, this article critically reviews recent advances in research involving the utilization of Fe-based MOFs (Fe-MOFs) and their derivatives in SR-AOPs. Specifically, it highlights the manipulation of influencing factors within the system to enhance the degradation of organic pollutants. The mechanisms and applications underlying the degradation of organic pollutants in the SR-AOPs system are also elucidated.
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Affiliation(s)
- Shuo Li
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Tianqi Zhang
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Heshan Zheng
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
| | - Xu Dong
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Yoong Kit Leong
- Department of Chemical and Materials Engineering, Tunghai University, Taichung 407, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan
| | - Jo-Shu Chang
- Department of Chemical and Materials Engineering, Tunghai University, Taichung 407, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan; Department of Chemical Engineering, National Cheng-Kung University, Tainan, Taiwan; Department of Chemical Engineering and Materials Science, Yuan Ze University, Chung-Li, 32003, Taiwan.
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Li S, Zhao Z, Lu Q, Li M, Dai X, Shan M, Liu Z, Bai MY, Xiang F. miR394 modulates brassinosteroid signaling to regulate hypocotyl elongation in Arabidopsis. Plant J 2024. [PMID: 38761364 DOI: 10.1111/tpj.16806] [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] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 04/13/2024] [Accepted: 04/30/2024] [Indexed: 05/20/2024]
Abstract
The interplay between microRNAs (miRNAs) and phytohormones allows plants to integrate multiple internal and external signals to optimize their survival of different environmental conditions. Here, we report that miR394 and its target gene LEAF CURLING RESPONSIVENESS (LCR), which are transcriptionally responsive to BR, participate in BR signaling to regulate hypocotyl elongation in Arabidopsis thaliana. Phenotypic analysis of various transgenic and mutant lines revealed that miR394 negatively regulates BR signaling during hypocotyl elongation, whereas LCR positively regulates this process. Genetically, miR394 functions upstream of BRASSINOSTEROID INSENSITIVE2 (BIN2), BRASSINAZOLEs RESISTANT1 (BZR1), and BRI1-EMS-SUPPRESSOR1 (BES1), but interacts with BRASSINOSTEROID INSENSITIVE1 (BRI1) and BRI1 SUPRESSOR PROTEIN (BSU1). RNA-sequencing analysis suggested that miR394 inhibits BR signaling through BIN2, as miR394 regulates a significant number of genes in common with BIN2. Additionally, miR394 increases the accumulation of BIN2 but decreases the accumulation of BZR1 and BES1, which are phosphorylated by BIN2. MiR394 also represses the transcription of PACLOBUTRAZOL RESISTANCE1/5/6 and EXPANSIN8, key genes that regulate hypocotyl elongation and are targets of BZR1/BES1. These findings reveal a new role for a miRNA in BR signaling in Arabidopsis.
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Affiliation(s)
- Shuo Li
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Zhongjuan Zhao
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute of Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250013, China
| | - Qing Lu
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Mingru Li
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Xuehuan Dai
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Mengqi Shan
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Zhenhua Liu
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Ming-Yi Bai
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
| | - Fengning Xiang
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, People's Republic of China
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11
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Wang Y, Li S, Lu J, Feng K, Huang X, Hu F, Sun M, Zou Y, Li Y, Huang W, Zhou J. The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study. J Endocrinol Invest 2024:10.1007/s40618-024-02393-4. [PMID: 38762634 DOI: 10.1007/s40618-024-02393-4] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/11/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND The wealth of data taken from continuous glucose monitoring (CGM) remains to be fully used. We aimed to evaluate the relationship between a promising new CGM metric, complexity of glucose time series index (CGI), and mortality in critically ill patients. METHODS A total of 293 patients admitted to mixed medical/surgical intensive care units from 5 medical centers in Shanghai were prospectively included between May 2020 and November 2021. CGI was assessed using intermittently scanned CGM, with a median monitoring period of 12.0 days. Outcome measures included short- and long-term mortality. RESULTS During a median follow-up period of 1.7 years, a total of 139 (47.4%) deaths were identified, of which 73 (24.9%) occurred within the first 30 days after ICU admission, and 103 (35.2%) within 90 days. The multivariable-adjusted HRs for 30-day mortality across ascending tertiles of CGI were 1.00 (reference), 0.68 (95% CI 0.38-1.22) and 0.36 (95% CI 0.19-0.70), respectively. For per 1-SD increase in CGI, the risk of 30-day mortality was decreased by 51% (HR 0.49, 95% CI 0.35-0.69). Further adjustment for HbA1c, mean glucose during hospitalization and glucose variability partially attenuated these associations, although the link between CGI and 30-day mortality remained significant (per 1-SD increase: HR 0.57, 95% CI 0.40-0.83). Similar results were observed when 90-day mortality was considered as the outcome. Furthermore, CGI was also significantly and independently associated with long-term mortality (per 1-SD increase: HR 0.77, 95% CI 0.61-0.97). CONCLUSIONS In critically ill patients, CGI is significantly associated with short- and long-term mortality.
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Affiliation(s)
- Y Wang
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - S Li
- Department of Anesthesiology, Tongji University Affiliated Shanghai Tenth People's Hospital, Shanghai, China
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - J Lu
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - K Feng
- Department of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
| | - X Huang
- Department of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
| | - F Hu
- Department of Critical Care Medicine, Shanghai Fengxian District Central Hospital, Shanghai, China
| | - M Sun
- Department of Critical Care Medicine, Shanghai Eighth People's Hospital, Shanghai, China
| | - Y Zou
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital East Campus, Shanghai, China
| | - Y Li
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China.
- Department of Critical Care Medicine, Tongji University Affiliated Shanghai Tenth People's Hospital, 301 Yanan Middle Road, Shanghai, 200040, China.
| | - W Huang
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China.
- Department of Critical Care Medicine, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, 966 Huaihai Middle Road, Shanghai, 200031, China.
| | - J Zhou
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
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12
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Cheng Q, Liu Z, Sun J, Li S, Zhao C, Su J, Liu Q, Xin M, Liu D. Understanding the drying mechanism of straw substrate culture block: Physicochemical properties, pore structure, and drying optimization. Heliyon 2024; 10:e30399. [PMID: 38726206 PMCID: PMC11079107 DOI: 10.1016/j.heliyon.2024.e30399] [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] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
As a new type of agricultural waste block substrate utilization, the initial wet base state of the substrate culture block needs to be dried. Therefore, studying the drying mechanism of substrate culture block is critical. In this study, the substrate culture block in a dry state was taken as the research object. Based on physical and chemical properties, the internal section of the substrate culture block was characterized by scanning electron microscopy and the pore condition of the particles was quantified. The results showed that the internal pore structure was uniform and favorable for plant root growth. Based on the pore structure, pore channel modeling was constructed to investigate the distribution of the internal multiphase medium and to distinguish between channels and pore-blind channels. The applicability of the modeling was verified and discussed. By measuring the drying rate of the substrate culture block and classifying its drying stages as fast speed, constant speed, and slow speed, it is clarified that the forms of moisture existence are bound-state water and free-state water, and the moisture migration is prioritized as surface adsorption water, interparticle water, particle attached water, and capillary water. Innovate a method to quantify the change of pore space in the drying process by pore coefficient ratio to evaluate the drying quality. The results show that when the pore coefficient ratio is about 40 %, its moisture content is 20 %∼30 %, and the drying effect is best at this time. The physical drying test further confirmed the correctness of the conclusion of the drying stage division and water loss law. This study can provide a theoretical reference for the modeling study of the pore structure of the block matrix and the exploration of its drying mechanism.
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Affiliation(s)
- Qian Cheng
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zihui Liu
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Jiayi Sun
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Shuo Li
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Chongxuan Zhao
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Junfeng Su
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Qingyu Liu
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Mingjin Xin
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
| | - Dejun Liu
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China
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13
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Li YR, Zhou Y, Yu J, Kim YJ, Li M, Lee D, Zhou K, Chen Y, Zhu Y, Wang YC, Li Z, Yu Y, Dunn ZS, Guo W, Cen X, Husman T, Bajpai A, Kramer A, Wilson M, Fang Y, Huang J, Li S, Zhou Y, Zhang Y, Hahn Z, Zhu E, Ma F, Pan C, Lusis AJ, Zhou JJ, Seet CS, Kohn DB, Wang P, Zhou XJ, Pellegrini M, Puliafito BR, Larson SM, Yang L. Generation of allogeneic CAR-NKT cells from hematopoietic stem and progenitor cells using a clinically guided culture method. Nat Biotechnol 2024:10.1038/s41587-024-02226-y. [PMID: 38744947 DOI: 10.1038/s41587-024-02226-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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/28/2024] [Indexed: 05/16/2024]
Abstract
Cancer immunotherapy with autologous chimeric antigen receptor (CAR) T cells faces challenges in manufacturing and patient selection that could be avoided by using 'off-the-shelf' products, such as allogeneic CAR natural killer T (AlloCAR-NKT) cells. Previously, we reported a system for differentiating human hematopoietic stem and progenitor cells into AlloCAR-NKT cells, but the use of three-dimensional culture and xenogeneic feeders precluded its clinical application. Here we describe a clinically guided method to differentiate and expand IL-15-enhanced AlloCAR-NKT cells with high yield and purity. We generated AlloCAR-NKT cells targeting seven cancers and, in a multiple myeloma model, demonstrated their antitumor efficacy, expansion and persistence. The cells also selectively depleted immunosuppressive cells in the tumor microenviroment and antagonized tumor immune evasion via triple targeting of CAR, TCR and NK receptors. They exhibited a stable hypoimmunogenic phenotype associated with epigenetic and signaling regulation and did not induce detectable graft versus host disease or cytokine release syndrome. These properties of AlloCAR-NKT cells support their potential for clinical translation.
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Affiliation(s)
- Yan-Ruide Li
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yang Zhou
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jiaji Yu
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yu Jeong Kim
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Miao Li
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Derek Lee
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kuangyi Zhou
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yuning Chen
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yichen Zhu
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yu-Chen Wang
- Department of Medicine, Division of Cardiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Zhe Li
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yanqi Yu
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Zachary Spencer Dunn
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA
| | - Wenbin Guo
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xinjian Cen
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tiffany Husman
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Aarushi Bajpai
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Adam Kramer
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Matthew Wilson
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ying Fang
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jie Huang
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Shuo Li
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yonggang Zhou
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yuchong Zhang
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Zoe Hahn
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Enbo Zhu
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Feiyang Ma
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Calvin Pan
- Department of Medicine, Division of Cardiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Aldons J Lusis
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Medicine, Division of Cardiology, University of California, Los Angeles, Los Angeles, CA, USA
- Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jin J Zhou
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Christopher S Seet
- Eli and Edythe Broad Centre of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Medicine, Division of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Donald B Kohn
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Eli and Edythe Broad Centre of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Pediatrics, Division of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Pin Wang
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA
| | - Xianghong Jasmine Zhou
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Matteo Pellegrini
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Quantitative and Computational Biosciences-The Collaboratory, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Benjamin R Puliafito
- Department of Hematology and Oncology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sarah M Larson
- Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Internal Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lili Yang
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
- Eli and Edythe Broad Centre of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, USA.
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA.
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14
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Sun H, Li C, Li S, Ma J, Li S, Li X, Gao C, Yang R, Ma N, Yang J, Yang P, He X, Hu T. Identification and validation of stable reference genes for RT-qPCR analyses of Kobresia littledalei seedlings. BMC Plant Biol 2024; 24:389. [PMID: 38730341 PMCID: PMC11088182 DOI: 10.1186/s12870-024-04924-w] [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] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 03/18/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Kobreisa littledalei, belonging to the Cyperaceae family is the first Kobresia species with a reference genome and the most dominant species in Qinghai-Tibet Plateau alpine meadows. It has several resistance genes which could be used to breed improved crop varieties. Reverse Transcription Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR) is a popular and accurate gene expression analysis method. Its reliability depends on the expression levels of reference genes, which vary by species, tissues and environments. However, K.littledalei lacks a stable and normalized reference gene for RT-qPCR analysis. RESULTS The stability of 13 potential reference genes was tested and the stable reference genes were selected for RT-qPCR normalization for the expression analysis in the different tissues of K. littledalei under two abiotic stresses (salt and drought) and two hormonal treatments (abscisic acid (ABA) and gibberellin (GA)). Five algorithms were used to assess the stability of putative reference genes. The results showed a variation amongst the methods, and the same reference genes showed tissue expression differences under the same conditions. The stability of combining two reference genes was better than a single one. The expression levels of ACTIN were stable in leaves and stems under normal conditions, in leaves under drought stress and in roots under ABA treatment. The expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) expression was stable in the roots under the control conditions and salt stress and in stems exposed to drought stress. Expression levels of superoxide dismutase (SOD) were stable in stems of ABA-treated plants and in the roots under drought stress. Moreover, RPL6 expression was stable in the leaves and stems under salt stress and in the stems of the GA-treated plants. EF1-alpha expression was stable in leaves under ABA and GA treatments. The expression levels of 28 S were stable in the roots under GA treatment. In general, ACTIN and GAPDH could be employed as housekeeping genes for K. littledalei under different treatments. CONCLUSION This study identified the best RT-qPCR reference genes for different K. littledalei tissues under five experimental conditions. ACTIN and GAPDH genes can be employed as the ideal housekeeping genes for expression analysis under different conditions. This is the first study to investigate the stable reference genes for normalized gene expression analysis of K. littledalei under different conditions. The results could aid molecular biology and gene function research on Kobresia and other related species.
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Affiliation(s)
- Haoyang Sun
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Chunping Li
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Siyu Li
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Jiaxin Ma
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Shuo Li
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Xin Li
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Cai Gao
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Rongchen Yang
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Nan Ma
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Jing Yang
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Peizhi Yang
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Xueqing He
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China.
| | - Tianming Hu
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China.
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15
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Ren H, Zhao W, Jiang N, Li S. [Genetic analysis of a Chinese pedigree affected with Brachydactyly type B1 due to a novel variant of ROR2 gene]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2024; 41:561-564. [PMID: 38684301 DOI: 10.3760/cma.j.cn511374-20230507-00267] [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] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
OBJECTIVE To explore the genetic basis for a Chinese pedigree affected with Brachydactyly type B1 (BDB1) through whole exome sequencing (WES). METHODS A BDB1 pedigree admitted to the Affiliated Women and Children's Hospital of Qingdao University on June 25, 2021 was selected as the study subject. Clinical data of the pedigree was collected with informed consent. WES was carried out for the proband, and candidate variant was verified by Sanger sequencing and bioinformatic analysis. RESULTS WES and Sanger sequencing had identified a heterozygous c.2257delT variant in the ROR2 gene of the proband and his affected father, which has conformed to an autosomal dominant pattern of inheritance. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified to be likely pathogenic (PVS1_Strong+PM2 Supporting+PP4). CONCLUSION The c.2257delT variant of the ROR2 gene was unreported previously and is strongly correlated with the BDB1-like phenotype in this pedigree. Above finding has enriched the mutational spectrum of the ROR2 gene and facilitated the diagnosis and genetic counseling for this pedigree.
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Affiliation(s)
- Huiying Ren
- Genetic Testing Center, the Women and Children's Hospital Affiliated to Qingdao University, Qingdao, Shandong 266034, China.
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16
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Zhou J, Hu C, Li S, Zhang C, Liu Y, Chen Z, Li S, Chen H, Deng Y. An electrochemical aptasensor based on silver-thiolated graphene for highly sensitive detection of Pb 2. Anal Methods 2024; 16:2905-2912. [PMID: 38660709 DOI: 10.1039/d4ay00322e] [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] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The presence of lead ions (Pb2+) in the environment not only leads to environmental contamination but also poses a significant risk to public health through their migration into food and drinking water. Therefore, the development of rapid and effective techniques for detection of trace amounts of Pb2+ is crucial for safeguarding both the environment and biosafety. In this study, an aptamer-based electrochemical sensor was developed for specific detection of Pb2+ by modifying a polylysine (PLL) coated silver-thiolated graphene (Ag-SH-G) nanocomposite (PLL/Ag-SH-G) on the surface of a glassy carbon electrode, which was further modified with gold nanoparticles (AuNPs) for attachment of aptamers (Apt) that specifically recognized Pb2+. The Ag-SH-G particles were synthesized using a one-step in situ method, resulting in significantly enhanced electrochemical properties upon incorporating Ag nanoparticles into the PLL/Ag-SH-G composite. Coating of the covalently or no-covalently bonded Ag-SH-G particles with PLL provides an excellent supporting matrix, facilitating the assembly of AuNPs and a thiol-modified aptamer for Pb2+. Under optimized conditions, Apt/AuNPs/PLL/Ag-SH-G/GCE exhibited excellent sensing performance for Pb2+ with a wide linear response range (10-1000 nM), a low detection limit (0.047 nM) and extraordinary selectivity. The sensor was employed and satisfactory results were obtained in river water, soil and vegetable samples for the detection of Pb2+.
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Affiliation(s)
- Jie Zhou
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Institute for Future Sciences, University of South China, Changsha, Hunan 410000, China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
| | - Changchun Hu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
| | - Shuo Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
| | - Chuanxiang Zhang
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
- College of Packing and Materials Engineering, Hunan University of Technology, Zhuzhou, Hunan 412007, China
| | - Yuan Liu
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Institute for Future Sciences, University of South China, Changsha, Hunan 410000, China
| | - Zhu Chen
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Institute for Future Sciences, University of South China, Changsha, Hunan 410000, China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
| | - Song Li
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Institute for Future Sciences, University of South China, Changsha, Hunan 410000, China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
- National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan 410008, China
| | - Hui Chen
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Institute for Future Sciences, University of South China, Changsha, Hunan 410000, China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
| | - Yan Deng
- Institute of Cytology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Institute for Future Sciences, University of South China, Changsha, Hunan 410000, China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, Hunan 412007, China
- National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan 410008, China
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17
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Niu PP, Zhang C, Li S, Li YS. Association between egg consumption and mortality risk in United States adults with established coronary heart disease or stroke: A cohort study using data from NHANES 1999-2018. Arch Gerontol Geriatr 2024; 124:105475. [PMID: 38733921 DOI: 10.1016/j.archger.2024.105475] [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: 03/04/2024] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND To investigate the relationship between egg consumption and mortality in individuals with pre-existing coronary heart disease or stroke. METHODS This study utilized data from the National Health and Nutrition Examination Survey conducted between 1999 and 2018. Egg consumption was evaluated through 24 h dietary recalls at baseline. Mortality status was tracked until December 31, 2019. Survey-weighted Cox proportional hazards models were utilized. RESULTS The study involved 3,975 participants aged 20 years or older with a median follow-up of 89.00 months. A total of 1,675 individuals died during follow-up. Compared to individuals who did not consume eggs, the consumption of 0-50 g/day (hazard ratio [HR] = 1.033, 95% confidence interval [CI] =0.878-1.214) was not found to have a significant association with all-cause mortality. However, consuming 50-100 g/day (HR = 1.281, 95% CI = 1.004-1.635) and >100 g/day (HR = 1.312, 95% CI =1.036-1.661) exhibited a significant association with an increased risk of all-cause mortality. We identified a non-liner relationship between egg consumption and cardiovascular mortality, where the risk was found to be lowest at an intake of about 50 g/day. For individuals consuming more than 50 g/day, each additional 50 g increment in egg consumption was significantly linked to an elevated risk of cardiovascular mortality (HR = 1.276, 95% CI = 1.009-1.614). CONCLUSION In U.S. adults with pre-existing cardiovascular disease, a significant positive association was found between consuming over 50 g of eggs per day and the risk of mortality, highlighting the importance of moderate intake.
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Affiliation(s)
- Peng-Peng Niu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. 450000; Henan Engineering Research Center of Neural Function Detection and Regulation, Zhengzhou, China. 450000.
| | - Chan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. 450000; Henan Engineering Research Center of Neural Function Detection and Regulation, Zhengzhou, China. 450000
| | - Shuo Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. 450000; Henan Engineering Research Center of Neural Function Detection and Regulation, Zhengzhou, China. 450000
| | - Yu-Sheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. 450000; Henan Engineering Research Center of Neural Function Detection and Regulation, Zhengzhou, China. 450000.
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18
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Zheng H, Zheng Y, Yuan L, Li S, Niu J, Dong X, Kit Leong Y, Lee DJ, Chang JS. Oxidation effects on Microcystis aeruginosa inactivation through various reactive oxygen species: Degradation efficiency, mechanisms, and physiological properties. Bioresour Technol 2024; 402:130806. [PMID: 38718906 DOI: 10.1016/j.biortech.2024.130806] [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: 12/02/2023] [Revised: 05/04/2024] [Accepted: 05/05/2024] [Indexed: 05/13/2024]
Abstract
The study investigated the inactivation of Microcystis aeruginosa using a combined approach involving thermally activated peroxyacetic acid (Heat/PAA) and thermally activated persulfate (Heat/PDS). The Heat/PDS algal inactivation process conforms to first-order reaction kinetics. Both hydroxyl radical (•OH) and sulfate radical (SO4-•) significantly impact the disruption of cell integrity, with SO4-• assuming a predominant role. PAA appears to activate organic radicals (RO•), hydroxyl (•OH), and a minimal amount of singlet oxygen (1O2). A thorough analysis underscores persulfate's superior ability to disrupt algal cell membranes. Additionally, SO4-• can convert small-molecule proteins into aromatic hydrocarbons, accelerating cell lysis. PAA can accelerate cell death by diffusing into the cell membrane and triggering advanced oxidative reactions within the cell. This study validates the effectiveness of the thermally activated persulfate process and the thermally activated peroxyacetic acid as strategies for algae inactivation.
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Affiliation(s)
- Heshan Zheng
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Yongjie Zheng
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Le Yuan
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Shuo Li
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China.
| | - Junfeng Niu
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Xu Dong
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Yoong Kit Leong
- Department of Chemical and Materials Engineering, Tunghai University, Taichung 407, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan
| | - Duu-Jong Lee
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon Tang, Hong Kong, China
| | - Jo-Shu Chang
- Department of Chemical and Materials Engineering, Tunghai University, Taichung 407, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan; Department of Chemical Engineering, National Cheng-Kung University, Tainan, Taiwan; Department of Chemical Engineering and Materials Science, Yuan Ze University, Chung-Li 32003, Taiwan.
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19
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Liu J, Fang X, Cao S, Shi Y, Li S, Liu H, Li Y, Xu S, Xia W. Associations of ambient temperature and total cloud cover during pregnancy with newborn vitamin D status. Public Health 2024; 231:179-186. [PMID: 38703492 DOI: 10.1016/j.puhe.2024.03.026] [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: 09/20/2023] [Revised: 02/24/2024] [Accepted: 03/27/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES We aimed to estimate the effects of temperature and total cloud cover before birth on newborn vitamin D status. STUDY DESIGN Prospective birth cohort. METHODS This study included 2055 mother-newborn pairs in Wuhan, Hubei province, China. The data of temperature and total cloud cover from 30 days before birth were collected, and cord blood 25-hydroxyvitamin D [25(OH)D] were determined. Restricted cubic spline regression models, multiple linear regression models, and logistic regression models were applied to estimate the associations. RESULTS A "J" shaped curve was observed between temperature and vitamin D status, and an inverse "J" shaped curve was observed between total cloud cover and vitamin D status. Compared to the fourth quartile (75-100th percentile, Q4) of average temperature (30 days before birth), the odds ratio (OR) for Q1 (0-25th percentile) associated with the vitamin D deficiency occurrence (<20 ng/mL) was 3.63 (95% CI, 1.54, 8.65). Compared to Q1 of the average total cloud cover (30 days before birth), the OR associated with the occurrence of vitamin D deficiency was 2.38 (95% CI, 1.63, 3.50) for the Q4. CONCLUSIONS Low temperature and high cloud cover before delivery were significantly associated with an increased probability of vitamin D deficiency in newborns. The findings suggested that pregnancy women lacking sufficient sunlight exposure still need vitamin D supplement to overcome the potential vitamin D deficiency status.
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Affiliation(s)
- J Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - X Fang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Cao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Shi
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - H Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - S Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - W Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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20
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Tian C, Xiong S, Li S, Song X, Zhang Y, Jiang X, Hou X, Zhang Y, Liu C. Impulse oscillometry in the diagnosis of cough variant asthma in children. BMC Pediatr 2024; 24:296. [PMID: 38702638 PMCID: PMC11067131 DOI: 10.1186/s12887-024-04749-4] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 04/09/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Cough variant asthma (CVA) is one of the most common causes of chronic cough in children worldwide. The diagnosis of CVA in children remains challenging. This study aimed to assess the diagnostic utility of impulse oscillometry (IOS) pulmonary function in children with CVA. METHODS This study included children aged 4 to 12 years diagnosed with CVA who underwent IOS pulmonary function and bronchodilation (BD) tests. A control group of healthy children was matched. Pre- and post-BD IOS parameters were recorded and presented as mean ± standard deviation or median. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated to evaluate the discriminatory potential of the IOS parameters for diagnosing CVA. RESULTS A total of 180 patients with CVA and 65 control subjects were included. The baseline IOS parameters in the CVA group, except X5%pred, were significantly greater compared to the control group. After inhalation of salbutamol sulfate, all IOS parameters improved significantly in the CVA group. However, Z5%pred, R5%pred, and R20%pred remained greater in the CVA group compared to the control group. The improvement rates of IOS parameters in the CVA group significantly surpassed those in the control group. The ROC curve results for pre-BD IOS parameters and the improvement rate during the BD test showed that the combinations of pre-Z5%pred+△Z5% and pre-R5%pred+△R5% achieved the highest AUC value of 0.920 and 0.898, respectively. The AUC values of these combined parameters surpassed those of individual ones. CONCLUSIONS This study highlights that children with CVA exhibit greater IOS parameters compared to healthy children. The changes in IOS parameters during the BD test provided valuable diagnostic information for CVA, and the combination of various parameters can help pediatricians accurately identify CVA in children.
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Affiliation(s)
- Chunyu Tian
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Shiqiu Xiong
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Shuo Li
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Xin Song
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Yantao Zhang
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Xinmei Jiang
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Xinyue Hou
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Yifan Zhang
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Chuanhe Liu
- Department of Allergy, Children's Hospital Affiliated with the Capital Institute of Pediatrics, No.2 Yabao Road, Chaoyang District, Beijing, 100020, China.
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21
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Knol MJ, Poot RA, Evans TE, Satizabal CL, Mishra A, Sargurupremraj M, van der Auwera S, Duperron MG, Jian X, Hostettler IC, van Dam-Nolen DHK, Lamballais S, Pawlak MA, Lewis CE, Carrion-Castillo A, van Erp TGM, Reinbold CS, Shin J, Scholz M, Håberg AK, Kämpe A, Li GHY, Avinun R, Atkins JR, Hsu FC, Amod AR, Lam M, Tsuchida A, Teunissen MWA, Aygün N, Patel Y, Liang D, Beiser AS, Beyer F, Bis JC, Bos D, Bryan RN, Bülow R, Caspers S, Catheline G, Cecil CAM, Dalvie S, Dartigues JF, DeCarli C, Enlund-Cerullo M, Ford JM, Franke B, Freedman BI, Friedrich N, Green MJ, Haworth S, Helmer C, Hoffmann P, Homuth G, Ikram MK, Jack CR, Jahanshad N, Jockwitz C, Kamatani Y, Knodt AR, Li S, Lim K, Longstreth WT, Macciardi F, Mäkitie O, Mazoyer B, Medland SE, Miyamoto S, Moebus S, Mosley TH, Muetzel R, Mühleisen TW, Nagata M, Nakahara S, Palmer ND, Pausova Z, Preda A, Quidé Y, Reay WR, Roshchupkin GV, Schmidt R, Schreiner PJ, Setoh K, Shapland CY, Sidney S, St Pourcain B, Stein JL, Tabara Y, Teumer A, Uhlmann A, van der Lugt A, Vernooij MW, Werring DJ, Windham BG, Witte AV, Wittfeld K, Yang Q, Yoshida K, Brunner HG, Le Grand Q, Sim K, Stein DJ, Bowden DW, Cairns MJ, Hariri AR, Cheung CL, Andersson S, Villringer A, Paus T, Cichon S, Calhoun VD, Crivello F, Launer LJ, White T, Koudstaal PJ, Houlden H, Fornage M, Matsuda F, Grabe HJ, Ikram MA, Debette S, Thompson PM, Seshadri S, Adams HHH. Genetic variants for head size share genes and pathways with cancer. Cell Rep Med 2024:101529. [PMID: 38703765 DOI: 10.1016/j.xcrm.2024.101529] [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: 11/30/2021] [Revised: 09/18/2023] [Accepted: 04/04/2024] [Indexed: 05/06/2024]
Abstract
The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer.
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Affiliation(s)
- Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Raymond A Poot
- Department of Cell Biology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Tavia E Evans
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA; The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Sandra van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; German Centre of Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Marie-Gabrielle Duperron
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France
| | - Xueqiu Jian
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Isabel C Hostettler
- Stroke Research Centre, University College London, Institute of Neurology, London, UK; Department of Neurosurgery, Klinikum rechts der Isar, University of Munich, Munich, Germany; Neurosurgical Department, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Sander Lamballais
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mikolaj A Pawlak
- Department of Neurology, Poznań University of Medical Sciences, Poznań, Poland; Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Cora E Lewis
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Amaia Carrion-Castillo
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
| | - Céline S Reinbold
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE Research Center for Civilization Disease, Leipzig, Germany
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Anders Kämpe
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Gloria H Y Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Reut Avinun
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Joshua R Atkins
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Alyssa R Amod
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany
| | - Max Lam
- North Region, Institute of Mental Health, Singapore, Singapore; Population and Global Health, LKC Medicine, Nanyang Technological University, Singapore, Singapore
| | - Ami Tsuchida
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France; Groupe d'imagerie neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France
| | - Mariël W A Teunissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Neurology, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Nil Aygün
- Department of Genetics UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yash Patel
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Dan Liang
- Department of Genetics UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexa S Beiser
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Frauke Beyer
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Collaborative Research Center 1052 Obesity Mechanisms, Faculty of Medicine, University of Leipzig, Leipzig, Germany; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - R Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Gwenaëlle Catheline
- University of Bordeaux, CNRS, INCIA, UMR 5287, team NeuroImagerie et Cognition Humaine, Bordeaux, France; EPHE-PSL University, Bordeaux, France
| | - Charlotte A M Cecil
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Shareefa Dalvie
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany
| | - Jean-François Dartigues
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team SEPIA, UMR 1219, Bordeaux, France
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | - Maria Enlund-Cerullo
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Judith M Ford
- San Francisco Veterans Administration Medical Center, San Francisco, CA, USA; University of California, San Francisco, San Francisco, CA, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Melissa J Green
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Simon Haworth
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Catherine Helmer
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team LEHA, UMR 1219, Bordeaux, France
| | - Per Hoffmann
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Institute of Human Genetics, University of Bonn Medical School, Bonn, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | | | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck USC School of Medicine, Los Angeles, CA, USA
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Medical Faculty, Aachen, Germany
| | - Yoichiro Kamatani
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Annchen R Knodt
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Keane Lim
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Fabio Macciardi
- Laboratory of Molecular Psychiatry, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Outi Mäkitie
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden; Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Bernard Mazoyer
- Groupe d'imagerie neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France; Centre Hospitalo-Universitaire de Bordeaux, Bordeaux, France
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Psychology, University of Queensland, Brisbane, QLD, Australia; Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Susanne Moebus
- Institute for Urban Public Health, University of Duisburg-Essen, Essen, Germany
| | - Thomas H Mosley
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, USA; Memory Impairment and Neurodegenerative Dementia (MIND) Center, Jackson, MS, USA
| | - Ryan Muetzel
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Thomas W Mühleisen
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; C. and O. Vogt Institute for Brain Research, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Manabu Nagata
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA; Unit 2, Candidate Discovery Science Labs, Drug Discovery Research, Astellas Pharma Inc, 21 Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Adrian Preda
- Department of Psychiatry, University of California, Irvine, Irvine, CA, USA
| | - Yann Quidé
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - William R Reay
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Chin Yang Shapland
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, University of Bristol, Bristol, UK
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Jason L Stein
- Department of Genetics UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Alexander Teumer
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anne Uhlmann
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - David J Werring
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - B Gwen Windham
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, USA; Memory Impairment and Neurodegenerative Dementia (MIND) Center, Jackson, MS, USA
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Collaborative Research Center 1052 Obesity Mechanisms, Faculty of Medicine, University of Leipzig, Leipzig, Germany; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; German Centre of Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Han G Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical Genetics MUMC+, GROW School of Oncology and Developmental Biology, and MHeNs School of Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Quentin Le Grand
- Bordeaux Population Health, University of Bordeaux, INSERM U1219, Bordeaux, France
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Dan J Stein
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany; SAMRC Unit on Risk and Resilience, University of Cape Town, Cape Town, South Africa
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sture Andersson
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) {Georgia State, Georgia Tech, Emory}, Atlanta, GA, USA
| | - Fabrice Crivello
- Groupe d'imagerie neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute of Aging, The National Institutes of Health, Bethesda, MD, USA
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Henry Houlden
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Stéphanie Debette
- Bordeaux Population Health, University of Bordeaux, INSERM U1219, Bordeaux, France; Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck USC School of Medicine, Los Angeles, CA, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA; The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Hieab H H Adams
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
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Zhao JS, Ahmad N, Li S, Zhou CH. Hydrazyl hydroxycoumarins as new potential conquerors towards Pseudomonas aeruginosa. Bioorg Med Chem Lett 2024; 103:129709. [PMID: 38494040 DOI: 10.1016/j.bmcl.2024.129709] [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: 01/31/2024] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
A class of unique hydrazyl hydroxycoumarins (HHs) as novel structural scaffold was developed to combat dreadful bacterial infections. Some HHs could effectively suppress bacterial growth at low concentrations, especially, pyridyl HH 7 exhibited a good inhibition against Pseudomonas aeruginosa 27853 with a low MIC value of 0.5 μg/mL, which was 8-fold more active than norfloxacin. Furthermore, pyridyl HH 7 with low hemolytic activity and low cytotoxicity towards NCM460 cells showed much lower trend to induce the drug-resistant development than norfloxacin. Preliminarily mechanism exploration indicated that pyridyl HH 7 could eradicate the integrity of bacterial membrane, result in the leakage of intracellular proteins, and interact with bacterial DNA gyrase via non-covalent binding, and ADME analysis manifested that compound 7 gave good pharmacokinetic properties. These results suggested that the newly developed hydrazyl hydroxycoumarins as potential multitargeting antibacterial agents should be worthy of further investigation for combating bacterial infection.
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Affiliation(s)
- Jiang-Sheng Zhao
- Institute of Bioorganic & Medicinal Chemistry, Key Laboratory of Applied Chemistry of Chongqing Municipality, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, PR China
| | - Nisar Ahmad
- Institute of Bioorganic & Medicinal Chemistry, Key Laboratory of Applied Chemistry of Chongqing Municipality, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, PR China
| | - Shuo Li
- School of Chemical Engineering, Chongqing University of Technology, Chongqing 400054, PR China.
| | - Cheng-He Zhou
- Institute of Bioorganic & Medicinal Chemistry, Key Laboratory of Applied Chemistry of Chongqing Municipality, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, PR China.
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23
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Li S, Zou T, Chen J, Li J, You J. Fibroblast growth factor 21: An emerging pleiotropic regulator of lipid metabolism and the metabolic network. Genes Dis 2024; 11:101064. [PMID: 38292170 PMCID: PMC10825286 DOI: 10.1016/j.gendis.2023.06.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 01/20/2023] [Accepted: 06/27/2023] [Indexed: 02/01/2024] Open
Abstract
Fibroblast growth factor 21 (FGF21) was originally identified as an important metabolic regulator which plays a crucial physiological role in regulating a variety of metabolic parameters through the metabolic network. As a novel multifunctional endocrine growth factor, the role of FGF21 in the metabolic network warrants extensive exploration. This insight was obtained from the observation that the FGF21-dependent mechanism that regulates lipid metabolism, glycogen transformation, and biological effectiveness occurs through the coordinated participation of the liver, adipose tissue, central nervous system, and sympathetic nerves. This review focuses on the role of FGF21-uncoupling protein 1 (UCP1) signaling in lipid metabolism and how FGF21 alleviates non-alcoholic fatty liver disease (NAFLD). Additionally, this review reveals the mechanism by which FGF21 governs glucolipid metabolism. Recent research on the role of FGF21 in the metabolic network has mostly focused on the crucial pathway of glucolipid metabolism. FGF21 has been shown to have multiple regulatory roles in the metabolic network. Since an adequate understanding of the concrete regulatory pathways of FGF21 in the metabolic network has not been attained, this review sheds new light on the metabolic mechanisms of FGF21, explores how FGF21 engages different tissues and organs, and lays a theoretical foundation for future in-depth research on FGF21-targeted treatment of metabolic diseases.
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Affiliation(s)
| | | | - Jun Chen
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Jiaming Li
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Jinming You
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
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24
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Sun P, Wang C, Li S, Li N, Gao Y. Supramolecular deep eutectic solvent: a powerful tool for pre-concentration of trace metals in edible oil. Anal Bioanal Chem 2024:10.1007/s00216-024-05304-x. [PMID: 38691170 DOI: 10.1007/s00216-024-05304-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] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 03/26/2024] [Accepted: 04/12/2024] [Indexed: 05/03/2024]
Abstract
The utilization of supramolecular deep eutectic solvent eddy-assisted liquid-liquid microextraction utilizing 2-hydroxypropyl β-cyclodextrin (SUPRADES) has been identified as a successful method for pre-enriching Cu, Zn, and Mn in vegetable oil samples. Determination of each element was conducted by inductively coupled plasma optical emission spectrometry (ICP-OES) after digestion of metal-enriched phases. Various parameters were examined, including the composition of SUPRADES species [2HP-β-CD: DL-lactic acid], a cyclodextrin mass ratio of 20 wt%, a water bath temperature of 75 °C, an extractor volume of 800 μL, a dispersant volume of 50 μL, and an eddy current time of 5 min. Optimal conditions resulted in extraction rates of 99.6% for Cu, 105.2% for Zn, and 101.5% for Mn. The method exhibits a broad linear range spanning from 10 to 20,000 μg L-1, with determination coefficients exceeding 0.99 for all analytes. Enrichment coefficients of 24, 21, and 35 were observed. Limits of detection ranged from 0.89 to 1.30 μg L-1, while limits of quantification ranged from 3.23 to 4.29 μg L-1. The unique structural characteristics of the method enable the successful determination of trace elements in a variety of edible vegetable oils.
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Affiliation(s)
- Peng Sun
- College of Food Science, Heilongjiang Bayi Agricultural University, No. 5, Xinfeng Road, Daqing, 163319, China.
- Agricultural Products and Processed Products Supervision and Testing Center, Ministry of Agriculture, Daqing, 163319, China.
- National Coarse Cereals Engineering Research Center, Daqing, 163319, China.
| | - Chao Wang
- College of Food Science, Heilongjiang Bayi Agricultural University, No. 5, Xinfeng Road, Daqing, 163319, China
- National Coarse Cereals Engineering Research Center, Daqing, 163319, China
| | - Shuo Li
- Agricultural Products and Processed Products Supervision and Testing Center, Ministry of Agriculture, Daqing, 163319, China
- National Coarse Cereals Engineering Research Center, Daqing, 163319, China
| | - Nan Li
- College of Food Science, Heilongjiang Bayi Agricultural University, No. 5, Xinfeng Road, Daqing, 163319, China
- National Coarse Cereals Engineering Research Center, Daqing, 163319, China
| | - Yuling Gao
- Agricultural Products and Processed Products Supervision and Testing Center, Ministry of Agriculture, Daqing, 163319, China
- National Coarse Cereals Engineering Research Center, Daqing, 163319, China
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25
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Sun H, Qu G, Li S, Song K, Zhao D, Li X, Yang P, He X, Hu T. Corrigendum to "Iron nanoparticles induced the growth and physio-chemical changes in Kobresia capillifolia seedlings" [Plant Physiol. Biochem. 194 (2023) 15-28]. Plant Physiol Biochem 2024; 210:108431. [PMID: 38431434 DOI: 10.1016/j.plaphy.2024.108431] [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] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Affiliation(s)
- Haoyang Sun
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Guangpeng Qu
- Grassland Science Research Institute of Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850000, Tibet, PR China
| | - Shuo Li
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Kexiao Song
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Donghao Zhao
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Xin Li
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Peizhi Yang
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China
| | - Xueqing He
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China.
| | - Tianming Hu
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi Province, PR China.
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Li H, Chen M, Zheng T, Lei X, Lin C, Li S, Mo J, Ning Z. IFITM1 and IFITM2 inhibit the replication of senecavirus A by positive feedback with RIG-I signaling pathway. Vet Microbiol 2024; 292:110050. [PMID: 38484578 DOI: 10.1016/j.vetmic.2024.110050] [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: 02/01/2024] [Revised: 03/02/2024] [Accepted: 03/09/2024] [Indexed: 04/10/2024]
Abstract
The role of host factors in the replication of emerging senecavirus A (SVA) which induced porcine idiopathic vesicular disease (PIVD) distributed worldwide remains obscure. Here, interferon-induced transmembrane (IFITM) protein 1 and 2 inhibit SVA replication by positive feedback with RIG-I signaling pathway was reported. The expression levels of IFITM1 and IFITM2 increased significantly in SVA infected 3D4/21 cells. Infection experiments of cells with over and interference expression of IFITM1 and IFITM2 showed that these two proteins inhibit SVA replication by regulating the expression of interferon beta (IFN-β), IFN-stimulated gene 15 (ISG-15), interleukin 6 (IL-6), IL-8, tumor necrosis factor alpha (TNF-α), IFN regulatory factor-3 (IRF3), and IRF7. Further results showed that antiviral responses of IFITM1 and IFITM2 were achieved by activating retinoic acid-inducible gene I (RIG-I) signaling pathway which in turn enhanced the expression of IFITM1 and IFITM2. It is noteworthy that conserved domains of these two proteins also paly the similar role. These findings provide new data on the role of host factors in infection and replication of SVA and help to develop new agents against the virus.
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Affiliation(s)
- Huizi Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Ming Chen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Tingting Zheng
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Xiaoling Lei
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Cunhao Lin
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Shuo Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Jiacong Mo
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Zhangyong Ning
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China.
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27
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Yuan Y, Wang Y, Liu M, Luo H, Liu X, Li L, Mao C, Yang T, Li S, Zhang X, Gao Y, Xu Y, Yang J. Peripheral cutaneous synucleinopathy characteristics in genetic Parkinson's disease. Front Neurol 2024; 15:1404492. [PMID: 38751879 PMCID: PMC11094647 DOI: 10.3389/fneur.2024.1404492] [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: 03/21/2024] [Accepted: 04/16/2024] [Indexed: 05/18/2024] Open
Abstract
Background Cutaneous phosphorylated alpha-synuclein (p-α-syn) deposition is an important biomarker of idiopathic Parkinson's disease (iPD). Recent studies have reported synucleinopathies in patients with common genetic forms of PD. Objective This study aimed to detect p-α-syn deposition characteristic in rare genetic PD patients with CHCHD2 or RAB39B mutations. Moreover, this study also aimed to describe peripheral alpha-synuclein prion-like activity in genetic PD patients, and acquire whether the cutaneous synucleinopathy characteristics of genetic PD are consistent with central neuropathologies. Methods We performed four skin biopsy samples from the distal leg (DL) and proximal neck (C7) of 161 participants, including four patients with CHCHD2 mutations, two patients with RAB39B mutations, 16 patients with PRKN mutations, 14 patients with LRRK2 mutations, five patients with GBA mutations, 100 iPD patients, and 20 healthy controls. We detected cutaneous synucleinopathies using immunofluorescence staining and a seeding amplification assay (SAA). A systematic literature review was also conducted, involving 64 skin biopsies and 205 autopsies of genetic PD patients with synucleinopathy. Results P-α-syn was deposited in the peripheral cutaneous nerves of PD patients with CHCHD2, LRRK2, or GBA mutations but not in those with RAB39B or PRKN mutations. There were no significant differences in the location or rate of α-syn-positive deposits between genetic PD and iPD patients. Peripheral cutaneous synucleinopathy appears to well represent brain synucleinopathy of genetic PD, especially autosomal dominant PD (AD-PD). Cutaneous α-synuclein SAA analysis of iPD and LRRK2 and GBA mutation patients revealed prion-like activity. Conclusion P-α-syn deposition in peripheral cutaneous nerves, detected using SAA and immunofluorescence staining, may serve as an accurate biomarker for genetic PD and iPD in the future.
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Affiliation(s)
- Yanpeng Yuan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yangyang Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Minglei Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Haiyang Luo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Xiaojing Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Lanjun Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Chengyuan Mao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Ting Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Shuo Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoyun Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
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Liu YM, Li JC, Gu YF, Qiu RH, Huang JY, Xue R, Li S, Zhang Y, Zhang K, Zhang YZ. Cannabidiol Exerts Sedative and Hypnotic Effects in Normal and Insomnia Model Mice Through Activation of 5-HT 1A Receptor. Neurochem Res 2024; 49:1150-1165. [PMID: 38296858 DOI: 10.1007/s11064-024-04102-2] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 02/02/2024]
Abstract
Cannabis sativa has been used for improving sleep for long history. Cannabidiol (CBD) has drown much attention as a non-addictive psychoactive component in Cannabis sativa extract. However, the effects of CBD on sleep architecture and it's acting mechanism remains unclear. In the present study, we evaluated the sedative-hypnotic effect of cannabidiol (CBD), assessed the effects of CBD on sleep using a wireless physiological telemetry system. We further explored the therapeutic effects of CBD using 4-chloro-dl-phenylalanine (PCPA) induced insomnia model and changes in sleep latency, sleep duration and intestinal flora were evaluated. CBD shortened sleep latency and increases sleep duration in both normal and insomnia mice, and those effects were blocked by 5-HT1A receptor antagonist WAY100635. We determined that CBD increases 5-HT1A receptors expression and 5-HT content in the hypothalamus of PCPA-pretreated mice and affects tryptophan metabolism in the intestinal flora. These results showed that activation of 5-HT1A receptors is one of the potential mechanisms underlying the sedative-hypnotic effect of CBD. This study validated the effects of CBD on sleep and evaluated its potential therapeutic effects on insomnia.
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Affiliation(s)
- Yu-Meng Liu
- Shenyang Pharmaceutical University, Shenyang, 110016, China
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Jin-Cao Li
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Yong-Fang Gu
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Ren-Hong Qiu
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Jia-Ying Huang
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Rui Xue
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Shuo Li
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Yang Zhang
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Kuo Zhang
- Shenyang Pharmaceutical University, Shenyang, 110016, China
| | - You-Zhi Zhang
- Shenyang Pharmaceutical University, Shenyang, 110016, China.
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China.
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29
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Hou C, Yang F, Li S, Ma HY, Li FX, Zhang W, He W. A nomogram based on neuron-specific enolase and substantia nigra hyperechogenicity for identifying cognitive impairment in Parkinson's disease. Quant Imaging Med Surg 2024; 14:3581-3592. [PMID: 38720848 PMCID: PMC11074765 DOI: 10.21037/qims-23-1778] [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] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/14/2024] [Indexed: 05/12/2024]
Abstract
Background One in four individuals with Parkinson's disease (PD) experience cognitive impairment (CI). However, few practical models integrating clinical and neuroimaging biomarkers have been developed to address CI in PD. This study aimed to evaluate the correlation between circulating neuron-specific enolase (NSE) levels, substantia nigra hyperechogenicity (SNH), and cognitive function in PD and to develop a nomogram based on clinical and neuroimaging biomarkers for predicting CI in patients with PD. Methods A total of 385 patients with PD who underwent transcranial sonography (TCS) from January 2021 to December 2022 at Beijing Tiantan Hospital, Capital Medical University, were recruited as the training cohort. For validation, 165 patients with PD treated from January 2023 to December 2023 were enrolled. Data for SNH, plasma NSE, and other clinical measures were collected, and cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). Logistic regression analysis was employed to select potential risk factors and establish a nomogram. The receiver operating characteristic curve and calibration curve were generated to evaluate the performance of the nomogram. Results Patients with PD exhibiting CI displayed advanced age, elevated Unified PD Rating Scale-III (UPDRS-III) score, an increased percentage of SNH, higher levels of plasma NSE and homocysteine (Hcy), a larger SNH area, and lower education levels compared to PD patients without CI. Gender [odds ratio (OR) =0.561, 95% confidence interval (CI): 0.330-0.954, P=0.03], age (OR =1.039; 95% CI: 1.011-1.066; P=0.005), education level (OR =0.892; 95% CI: 0.842-0.954; P<0.001), UPDRS-III scores (OR =1.026; 95% CI: 1.009-1.043; P=0.003), plasma NSE concentration (OR =1.562; 95% CI: 1.374-1.776; P<0.001), and SNH (OR =0.545; 95% CI: 0.330-0.902; P=0.02) were independent predictors of CI in patients with PD. A nomogram developed using these six factors yielded a moderate discrimination performance with an area under the curve (AUC) of 0.823 (95% CI 0.781-0.864; P<0.001). The calibration curve demonstrated acceptable agreement between predicted outcomes and actual values. Validation further confirmed the reliability of the nomogram, with an AUC of 0.864 (95% CI: 0.805-0.922; P<0.001). Conclusions The level of NSE in plasma and the SNH assessed by TCS are associated with CI in patients with PD. The proposed nomogram has the potential to facilitate the detection of cognitive decline in individuals with PD.
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Affiliation(s)
- Chao Hou
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China
- Department of Ultrasound, the Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fang Yang
- Department of Ultrasound, Kunming Medical University Affiliated Qujing Hospital, Qujing, China
| | - Shuo Li
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hui-Yu Ma
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fang-Xian Li
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Zhang
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wen He
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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30
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Zhu Z, Ma X, Wang W, Dong S, Wang K, Wu L, Luo G, Wang G, Li S. Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation. Med Image Anal 2024; 94:103112. [PMID: 38401270 DOI: 10.1016/j.media.2024.103112] [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: 08/23/2023] [Revised: 01/10/2024] [Accepted: 02/20/2024] [Indexed: 02/26/2024]
Abstract
Domain continual medical image segmentation plays a crucial role in clinical settings. This approach enables segmentation models to continually learn from a sequential data stream across multiple domains. However, it faces the challenge of catastrophic forgetting. Existing methods based on knowledge distillation show potential to address this challenge via a three-stage process: distillation, transfer, and fusion. Yet, each stage presents its unique issues that, collectively, amplify the problem of catastrophic forgetting. To address these issues at each stage, we propose a tri-enhanced distillation framework. (1) Stochastic Knowledge Augmentation reduces redundancy in knowledge, thereby increasing both the diversity and volume of knowledge derived from the old network. (2) Adaptive Knowledge Transfer selectively captures critical information from the old knowledge, facilitating a more accurate knowledge transfer. (3) Global Uncertainty-Guided Fusion introduces a global uncertainty view of the dataset to fuse the old and new knowledge with reduced bias, promoting a more stable knowledge fusion. Our experimental results not only validate the feasibility of our approach, but also demonstrate its superior performance compared to state-of-the-art methods. We suggest that our innovative tri-enhanced distillation framework may establish a robust benchmark for domain continual medical image segmentation.
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Affiliation(s)
- Zhanshi Zhu
- Faculty of Computing, Harbin Institute of Technology, Harbin, China
| | - Xinghua Ma
- Faculty of Computing, Harbin Institute of Technology, Harbin, China
| | - Wei Wang
- Faculty of Computing, Harbin Institute of Technology, Shenzhen, China.
| | - Suyu Dong
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Kuanquan Wang
- Faculty of Computing, Harbin Institute of Technology, Harbin, China.
| | - Lianming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Gongning Luo
- Faculty of Computing, Harbin Institute of Technology, Harbin, China.
| | - Guohua Wang
- College of Computer and Control Engineering, Northeast Forestry University, Harbin, China
| | - Shuo Li
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
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31
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Stackpole ML, Zeng W, Li S, Liu CC, Zhou Y, He S, Yeh A, Wang Z, Sun F, Li Q, Yuan Z, Yildirim A, Chen PJ, Winograd P, Tran B, Lee YT, Li PS, Noor Z, Yokomizo M, Ahuja P, Zhu Y, Tseng HR, Tomlinson JS, Garon E, French S, Magyar CE, Dry S, Lajonchere C, Geschwind D, Choi G, Saab S, Alber F, Wong WH, Dubinett SM, Aberle DR, Agopian V, Han SHB, Ni X, Li W, Zhou XJ. Author Correction: Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer. Nat Commun 2024; 15:3693. [PMID: 38693151 PMCID: PMC11063198 DOI: 10.1038/s41467-024-48018-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024] Open
Affiliation(s)
- Mary L Stackpole
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- EarlyDiagnostics, Inc., 570 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Weihua Zeng
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Shuo Li
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- EarlyDiagnostics, Inc., 570 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Chun-Chi Liu
- EarlyDiagnostics, Inc., 570 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Yonggang Zhou
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Shanshan He
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Angela Yeh
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Ziye Wang
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Fengzhu Sun
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Qingjiao Li
- The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Zuyang Yuan
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Asli Yildirim
- Department of Microbiology, Immunology and Molecular Genetics, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Pin-Jung Chen
- Department of Surgery, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Paul Winograd
- Department of Surgery, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Benjamin Tran
- Department of Surgery, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Yi-Te Lee
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Paul Shize Li
- Westlake High School, 100N Lakeview Cyn Road, Westlake Village, CA, 91362, USA
| | - Zorawar Noor
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Megumi Yokomizo
- Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Preeti Ahuja
- Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Yazhen Zhu
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Hsian-Rong Tseng
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - James S Tomlinson
- Department of Surgery, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- VA Greater Los Angeles Health Care System, Los Angeles, CA, 90073, USA
| | - Edward Garon
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Samuel French
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Clara E Magyar
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Sarah Dry
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Clara Lajonchere
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Precision Health, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Daniel Geschwind
- Institute for Precision Health, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Gina Choi
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Sammy Saab
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Frank Alber
- Department of Microbiology, Immunology and Molecular Genetics, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Quantitative and Computational Biosciences, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Wing Hung Wong
- Department of Statistics, Stanford University, Stanford, CA, 94305, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Steven M Dubinett
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- VA Greater Los Angeles Health Care System, Los Angeles, CA, 90073, USA
| | - Denise R Aberle
- Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Vatche Agopian
- Department of Surgery, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
| | - Steven-Huy B Han
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
| | - Xiaohui Ni
- EarlyDiagnostics, Inc., 570 Westwood Plaza, Los Angeles, CA, 90095, USA.
| | - Wenyuan Li
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
| | - Xianghong Jasmine Zhou
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
- Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
- Institute for Quantitative and Computational Biosciences, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
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32
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Hu Z, Guo H, An D, Wu M, Kaura A, Oh H, Wang Y, Zhao M, Li S, Yang Q, Ji X, Li S, Wang B, Yoo D, Tran P, Ghoreishi-Haack N, Kozorovitskiy Y, Huang Y, Li R, Rogers JA. Bioresorbable Multilayer Organic-Inorganic Films for Bioelectronic Systems. Adv Mater 2024; 36:e2309421. [PMID: 38339983 DOI: 10.1002/adma.202309421] [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] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/31/2024] [Indexed: 02/12/2024]
Abstract
Bioresorbable electronic devices as temporary biomedical implants represent an emerging class of technology relevant to a range of patient conditions currently addressed with technologies that require surgical explantation after a desired period of use. Obtaining reliable performance and favorable degradation behavior demands materials that can serve as biofluid barriers in encapsulating structures that avoid premature degradation of active electronic components. Here, this work presents a materials design that addresses this need, with properties in water impermeability, mechanical flexibility, and processability that are superior to alternatives. The approach uses multilayer assemblies of alternating films of polyanhydride and silicon oxynitride formed by spin-coating and plasma-enhanced chemical vapor deposition , respectively. Experimental and theoretical studies investigate the effects of material composition and multilayer structure on water barrier performance, water distribution, and degradation behavior. Demonstrations with inductor-capacitor circuits, wireless power transfer systems, and wireless optoelectronic devices illustrate the performance of this materials system as a bioresorbable encapsulating structure.
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Affiliation(s)
- Ziying Hu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Hexia Guo
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Dongqi An
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Mingzheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Neurobiology, Northwestern University, Evanston, IL, 60208, USA
| | - Anika Kaura
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Hannah Oh
- Department of Neurobiology, Northwestern University, Evanston, IL, 60208, USA
| | - Yue Wang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Mengjia Zhao
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Shuo Li
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Quansan Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Xudong Ji
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Simpson Querrey Institute, Northwestern University, Chicago, IL, 60611, USA
| | - Shupeng Li
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Bo Wang
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - Davin Yoo
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Phuong Tran
- Developmental Therapeutics Core, Northwestern University, Evanston, IL, 60208, USA
| | | | | | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Rui Li
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, 116024, P. R. China
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Department of Chemistry, Department of Neurological Surgery, Department of Electrical Engineering & Computer Science, Northwestern University, Evanston, IL, 60208, USA
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Li S, Chen Q, Xu Q, Wei Z, Shen Y, Wang H, Cai H, Gu M, Xiao Y. Hierarchical Self-Assembly Molecular Building Blocks as Intelligent Nanoplatforms for Ovarian Cancer Theranostics. Adv Sci (Weinh) 2024; 11:e2309547. [PMID: 38408141 PMCID: PMC11077652 DOI: 10.1002/advs.202309547] [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] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/05/2024] [Indexed: 02/28/2024]
Abstract
Hierarchical self-assembly from simple building blocks to complex polymers is a feasible approach to constructing multi-functional smart materials. However, the polymerization process of polymers often involves challenges such as the design of building blocks and the drive of external energy. Here, a hierarchical self-assembly with self-driven and energy conversion capabilities based on p-aminophenol and diethylenetriamine building blocks is reported. Through β-galactosidase (β-Gal) specific activation to the self-assembly, the intelligent assemblies (oligomer and superpolymer) with excellent photothermal and fluorescent properties are dynamically formed in situ, and thus the sensitive multi-mode detection of β-Gal activity is realized. Based on the overexpression of β-Gal in ovarian cancer cells, the self-assembly superpolymer is specifically generated in SKOV-3 cells to achieve fluorescence imaging. The photothermal therapeutic ability of the self-assembly oligomer (synthesized in vitro) is evaluated by a subcutaneous ovarian cancer model, showing satisfactory anti-tumor effects. This work expands the construction of intelligent assemblies through the self-driven cascade assembly of small molecules and provides new methods for the diagnosis and treatment of ovarian cancer.
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Affiliation(s)
- Shuo Li
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
- Jiangsu Institute of HematologyNational Clinical Research Center for Hematologic DiseasesNHC Key Laboratory of Thrombosis and HemostasisThe First Affiliated Hospital and Collaborative Innovation Center of HematologySoochow UniversitySuzhou215006China
| | - Qingrong Chen
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
| | - Qi Xu
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
| | - Zhongyu Wei
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
| | - Yongjin Shen
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
| | - Hua Wang
- Department of Gynecological OncologyZhongnan Hospital of Wuhan UniversityHubei Key Laboratory of Tumor Biological BehaviorsHubei Cancer Clinical Study CenterWuhan430071China
| | - Hongbing Cai
- Department of Gynecological OncologyZhongnan Hospital of Wuhan UniversityHubei Key Laboratory of Tumor Biological BehaviorsHubei Cancer Clinical Study CenterWuhan430071China
| | - Meijia Gu
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
| | - Yuxiu Xiao
- Department of Thyroid and Breast SurgeryZhongnan Hospital of Wuhan UniversityKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education)School of Pharmaceutical SciencesWuhan UniversityWuhan430071China
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34
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Wu J, Wang X, Wang Y, Xun Z, Li S. Application of PLGA in Tumor Immunotherapy. Polymers (Basel) 2024; 16:1253. [PMID: 38732722 PMCID: PMC11085488 DOI: 10.3390/polym16091253] [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: 03/18/2024] [Revised: 04/24/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024] Open
Abstract
Biodegradable polymers have been extensively researched in the field of biomedicine. Polylactic-co-glycolic acid (PLGA), a biodegradable polymer material, has been widely used in drug delivery systems and has shown great potential in various medical fields, including vaccines, tissue engineering such as bone regeneration and wound healing, and 3D printing. Cancer, a group of diseases with high mortality rates worldwide, has recently garnered significant attention in the field of immune therapy research. In recent years, there has been growing interest in the delivery function of PLGA in tumor immunotherapy. In tumor immunotherapy, PLGA can serve as a carrier to load antigens on its surface, thereby enhancing the immune system's ability to attack tumor cells. Additionally, PLGA can be used to formulate tumor vaccines and immunoadjuvants, thereby enhancing the efficacy of tumor immunotherapy. PLGA nanoparticles (NPs) can also enhance the effectiveness of tumor immunotherapy by regulating the activity and differentiation of immune cells, and by improving the expression and presentation of tumor antigens. Furthermore, due to the diverse physical properties and surface modifications of PLGA, it has a wider range of potential applications in tumor immunotherapy through the loading of various types of drugs or other innovative substances. We aim to highlight the recent advances and challenges of plga in the field of oncology therapy to stimulate further research and development of innovative PLGA-based approaches, and more effective and personalized cancer therapies.
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Affiliation(s)
- Jiashuai Wu
- Innovation Institute, China Medical University, Shenyang 110122, China; (J.W.); (X.W.)
| | - Xiaopeng Wang
- Innovation Institute, China Medical University, Shenyang 110122, China; (J.W.); (X.W.)
| | - Yunduan Wang
- School of Intelligent Medicine, China Medical University, Shenyang 110122, China;
| | - Zhe Xun
- Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, Health Science Institute, China Medical University, Shenyang 110122, China
| | - Shuo Li
- Department of Biochemistry & Molecular Biology, School of Life Sciences, China Medical University, Shenyang 110122, China
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Wang H, Dong Y, Wang M, Li S, Zhou Y, Ji Y. The miR184-3p targets neuron-specific ecdysone inducible protein 78 to promote rice black streaked dwarf virus propagation in its planthopper vector. Pest Manag Sci 2024. [PMID: 38676556 DOI: 10.1002/ps.8150] [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] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 04/16/2024] [Accepted: 04/21/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND MicroRNAs (miRNAs) are non-coding RNAs that play a pivotal role in antiviral infection. The miR184-3p has been identified to promote rice black streaked dwarf virus (RBSDV) infection in vector Laodelphax striatellus, whether it targets other genes of L. striatellus to modulate RBSDV propagation remains unknown. RESULTS We first analyzed the expression profiles of miR184-3p and its role in regulating RBSDV infection in L. striatellus. Then the candidate genes expression of miR184-3p were systemically analyzed with gain and loss function of miR184-3p, and the interaction of candidate gene, ecdysone inducible protein 78 (Eip78) with miR184-3p was verified by dual luciferase reporter assay. We found Eip78 is evolutionary conserved among agricultural pests and predominantly expressed in the central nervous system (CNS) of L. striatellus. Knockdown of Eip78 effectively increased RBSDV propagation and transmission. Blockade with Eip78 antibody or injection with Eip78 protein could significantly regulate RBSDV infection. Further analysis revealed that knockdown of Eip78 specifically suppresses RBSDV infection in the head part but not in the body part of L. striatellus. Besides, knockdown of ecdysone receptor (EcR) notably restricted Eip78 expression and increased RBSDV accumulation in L. striatellus. CONCLUSIONS Taken together, we identified a novel target gene of miR184-3p, Eip78, a member of the ecdysone signaling pathway, and revealed the anti-RBSDV role of Eip78 in the CNS of L. striatellus. These results shed light on the interaction mechanisms of miRNAs, virus and ecdysone signaling pathway in insect vector. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Haitao Wang
- Institute of Plant Protection, Key Laboratory of Food Quality and Safety of Jiangsu Province, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yan Dong
- Institute of Plant Protection, Key Laboratory of Food Quality and Safety of Jiangsu Province, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Man Wang
- Institute of Plant Protection, Key Laboratory of Food Quality and Safety of Jiangsu Province, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Shuo Li
- Institute of Plant Protection, Key Laboratory of Food Quality and Safety of Jiangsu Province, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yijun Zhou
- Institute of Plant Protection, Key Laboratory of Food Quality and Safety of Jiangsu Province, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yinghua Ji
- Institute of Plant Protection, Key Laboratory of Food Quality and Safety of Jiangsu Province, Jiangsu Academy of Agricultural Sciences, Nanjing, China
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Wang X, Li S, Huo D, Zhu Z, Wang W, He H, Zhang Q, Li J, Wang X. Nosocomial Infections After Pediatric Congenital Heart Disease Surgery: Data from National Center for Cardiovascular Diseases in China. Infect Drug Resist 2024; 17:1615-1623. [PMID: 38694890 PMCID: PMC11061562 DOI: 10.2147/idr.s457991] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/23/2024] [Indexed: 05/04/2024] Open
Abstract
Purpose Infection prevention and control (IPC) has a significant impact on the prognosis after pediatric cardiac surgery. This study aimed to provide surveillance data on the incidence and density of various infections during the COVID-19 epidemic and explore the influence of multi-drug resistant organisms (MDRO) on in-hospital prognosis after congenital heart disease surgery. Methods This single-center retrospective study included pediatric patients who underwent cardiac surgery between 2021 and 2022. The results of the postoperative bacterial and fungal cultures and antimicrobial stewardship were collected. The demographic characteristics (age and weight), operation-related parameters (RACHS-1 grade, duration of cardiopulmonary bypass, and aortic cross clamp), and surgical outcomes (extracorporeal membrane oxygenation, delayed sternal closure, mortality, duration of mechanical ventilation, length of intensive care unit stay and hospital stay, and hospitalization costs) of MDRO and non-MDRO patients were compared. Results A total of 4776 patients were included. There were 101 infectious culture results after the operation, with a nosocomial infection rate of 2.1%. There were 40 MDRO specimens from 36 patients, 50 non-MDRO specimens from 30 patients, and 11 fungal specimens from 10 patients. The incidence of pneumonia was 1.5%, with a ventilator-associated pneumonia incidence density of 7.2/1000 patient-days. The incidence of sepsis was 0.4%, with a catheter-related bloodstream infection incidence density of 0.24/ 1000 patient-days. The incidence density of catheter-associated tract infection was 0.45/ 1000 patient-days. The incidence of surgical site infection was 0.06%. The culture proportion before commencing antibiotics was 93% and the antibiotic consumption intensity was 30.7 DDD/100 bed-days. The length of intensive care unit stay in MDRO infection patients increased compared with that in non-MDRO infection patients, 30 (18,52) vs 17 (7,62) days, p=0.05). Conclusion The IPC performance of Fuwai Hospital achieved satisfactory results. MDRO infection can lead to prolonged intensive care unit stay.
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Affiliation(s)
- Xiaofeng Wang
- Department of Pediatric Intensive Care Unit, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Shuo Li
- Department of Infection Control, Peking University First Hospital, Beijing, People’s Republic of China
| | - Da Huo
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Zhiyuan Zhu
- Department of Pediatric Intensive Care Unit, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Wenlong Wang
- Department of Pediatric Intensive Care Unit, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Hongxia He
- Department of Pediatric Intensive Care Unit, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Qian Zhang
- Department of Pediatric Intensive Care Unit, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Jiantao Li
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
- Department of Infection Control, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
| | - Xu Wang
- Department of Pediatric Intensive Care Unit, National Center for Cardiovascular Disease and Fuwai Hospital, Beijing, People’s Republic of China
- School of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
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Zhao YM, Wang WH, Zhang W, Wang L, Li S, Wang JW, Liao LE, Yu GY, Sun Z, Qu YL, Gong Y, Lu Y, Wu T, Li YF, Wang Q, Zhao GH, Xiao Y, Ding PR, Zhang Z, Wu AW. [Long-term outcome of patients with rectal cancer who achieve complete or near complete clinical responses after neoadjuvant therapy: a multicenter registry study of data from the Chinese Watch and Wait Database]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:372-382. [PMID: 38644243 DOI: 10.3760/cma.j.cn441530-20240227-00074] [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] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective: To report the long-term outcomes of Chinese rectal cancer patients after adopting a Watch and Wait (W&W) strategy following neoadjuvant therapy (NAT). Methods: This multicenter, cross-sectional study was based on real-world data. The study cohort comprised rectal cancer patients who had achieved complete or near complete clinical responses (cCRs, near-cCRs) after NAT and were thereafter managed by a W&W approach, as well as a few patients who had achieved good responses after NAT and had then undergone local excision for confirmation of pathological complete response. All participants had been followed up for ≥2 years. Patients with distant metastases at baseline or who opted for observation while living with the tumor were excluded. Data of eligible patients were retrospectively collected from the Chinese Wait-and-Watch Data Collaboration Group database. These included baseline characteristics, type of NAT, pre-treatment imaging results, evaluation of post-NAT efficacy, salvage measures, and treatment outcomes. We herein report the long-term outcomes of Chinese rectal cancer patients after NAT and W&W and the differences between the cCR and near-cCR groups. Results: Clinical data of 318 rectal cancer patients who had undergone W&W for over 2 years and been followed up were collected from eight medical centers (Peking University Cancer Hospital, Fudan University Shanghai Cancer Center, Sun Yat-sen University Cancer Center, Shanghai Changhai Hospital, Peking Union Medical College Hospital, Liaoning Cancer Hospital, the First Hospital of Jilin University, and Yunnan Cancer Hospital.) The participants comprised 221 men (69.4%) and 107 women (30.6%) of median age 60 (26-86) years. The median distance between tumor and anal verge was 3.4 (0-10.4) cm. Of these patients, 291 and 27 had achieved cCR or near-cCR, respectively, after NAT. The median duration of follow-up was 48.4 (10.2-110.3) months. The 5-year cumulative overall survival rate was 92.4% (95%CI: 86.8%-95.7%), 5-year cumulative disease-specific survival (CSS) rate 96.6% (95%CI: 92.2%-98.5%), 5-year cumulative organ-preserving disease-free survival rate 86.6% (95%CI: 81.0%-90.7%), and 5-year organ preservation rate 85.3% (95%CI: 80.3%-89.1%). The overall 5-year local recurrence and distant metastasis rates were 18.5% (95%CI: 14.9%-20.8%) and 8.2% (95%CI: 5.4%-12.5%), respectively. Most local recurrences (82.1%, 46/56) occurred within 2 years, and 91.0% (51/56) occurred within 3 years, the median time to recurrence being 11.7 (2.5-66.6) months. Most (91.1%, 51/56) local recurrences occurred within the intestinal lumen. Distant metastases developed in 23 patients; 60.9% (14/23) occurred within 2 years and 73.9% (17/23) within 3 years, the median time to distant metastasis being 21.9 (2.6-90.3) months. Common sites included lung (15/23, 65.2%), liver (6/23, 26.1%), and bone (7/23, 30.4%) The metastases involved single organs in 17 patients and multiple organs in six. There were no significant differences in overall, cumulative disease-specific, or organ-preserving disease-free survival or rate of metastases between the two groups (all P>0.05). The 5-year local recurrence rate was higher in the near-cCR than in the cCR group (41.6% vs. 16.4%, P<0.01), with a lower organ preservation rate (69.2% vs. 88.0%, P<0.001). The success rates of salvage after local recurrence and distant metastasis were 82.1% (46/56) and 13.0% (3/23), respectively. Conclusion: Rectal cancer patients who achieve cCR or near-cCR after NAT and undergo W&W have favorable oncological outcomes and a high rate of organ preservation. Local recurrence and distant metastasis during W&W follow certain patterns, with a relatively high salvage rate for local recurrence. Our findings highlight the importance of close follow-up and timely intervention during the W&W process.
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Affiliation(s)
- Y M Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing),Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142,China
| | - W H Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Zhang
- Department of Colorectal Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - L Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing),Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142,China
| | - S Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - J W Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - L E Liao
- Department of Colorectal Surgery, Sun Yat - sen University Cancer Center, Guangzhou 510060, China
| | - G Y Yu
- Department of Colorectal Surgery, Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Z Sun
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y L Qu
- Department of General Surgery, Liaoning Cancer Hospital, Shenyang 110042, China
| | - Y Gong
- Department of Gastrocolorectal Surgery, the First Hospital of Jilin University, Changchun 130021,China
| | - Y Lu
- Department of General Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266555,China
| | - T Wu
- Department of Colorectal Surgery, Yunnan Cancer Hospital, Kunming 650118, China
| | - Y F Li
- Department of Colorectal Surgery, Yunnan Cancer Hospital, Kunming 650118, China
| | - Q Wang
- Department of Gastrocolorectal Surgery, the First Hospital of Jilin University, Changchun 130021,China
| | - G H Zhao
- Department of General Surgery, Liaoning Cancer Hospital, Shenyang 110042, China
| | - Y Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - P R Ding
- Department of Colorectal Surgery, Sun Yat - sen University Cancer Center, Guangzhou 510060, China
| | - Z Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - A W Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/ Beijing),Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142,China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142, China
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Zeng Q, Tang Y, Zhou HT, Li N, Liu WY, Chen SL, Li S, Lu NN, Fang H, Wang SL, Liu YP, Song YW, Li YX, Jin J. [Role of neoadjuvant rectal score in prognosis and adjuvant chemotherapy decision-making in locally advanced rectal cancer following neoadjuvant short-course radiotherapy and consolidation chemotherapy]. Zhonghua Zhong Liu Za Zhi 2024; 46:335-343. [PMID: 38644269 DOI: 10.3760/cma.j.cn112152-20231024-00216] [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] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objectives: To assess the prognostic impact of the neoadjuvant rectal (NAR) score following neoadjuvant short-course radiotherapy and consolidation chemotherapy in locally advanced rectal cancer (LARC), as well as its value in guiding decisions for adjuvant chemotherapy. Methods: Between August 2015 and August 2018, patients were eligible from the STELLAR phase III trial (NCT02533271) who received short-course radiotherapy plus consolidation chemotherapy and for whom the NAR score could be calculated. Based on the NAR score, patients were categorized into low (<8), intermediate (8-16), and high (>16) groups. The Kaplan-Meier method, log rank tests, and multivariate Cox proportional hazard regression models were used to evaluate the impact of the NAR score on disease-free survival (DFS). Results: Out of the 232 patients, 24.1%, 48.7%, and 27.2% had low (56 cases), intermediate (113 cases), and high NAR scores (63 cases), respectively. The median follow-up period was 37 months, with 3-year DFS rates of 87.3%, 68.3%, and 53.4% (P<0.001) for the low, intermediate, and high NAR score groups. Multivariate analysis demonstrated that the NAR score (intermediate NAR score: HR, 3.10, 95% CI, 1.30-7.37, P=0.011; high NAR scores: HR=5.44, 95% CI, 2.26-13.09, P<0.001), resection status (HR, 3.00, 95% CI, 1.64-5.52, P<0.001), and adjuvant chemotherapy (HR, 3.25, 95% CI, 2.01-5.27, P<0.001) were independent prognostic factors for DFS. In patients with R0 resection, the 3-year DFS rates were 97.8% and 78.0% for those with low and intermediate NAR scores who received adjuvant chemotherapy, significantly higher than the 43.2% and 50.6% for those who did not (P<0.001, P=0.002). There was no significant difference in the 3-year DFS rate (54.2% vs 53.3%, P=0.214) among high NAR score patients, regardless of adjuvant chemotherapy. Conclusions: The NAR score is a robust prognostic indicator in LARC following neoadjuvant short-course radiotherapy and consolidation chemotherapy, with potential implications for subsequent decisions regarding adjuvant chemotherapy. These findings warrant further validation in studies with larger sample sizes.
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Affiliation(s)
- Q Zeng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H T Zhou
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Y Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S L Chen
- Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors (Fujian Medical University), Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China
| | - S Li
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - N N Lu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S L Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y P Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y W Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y X Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
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Li YD, Gao MY, Wang M, Gao F, Liu YQ, Du KP, Li S, Zhang HJ, Yao YF, Zhou ZG. [Analysis of the safety, accuracy, and factors influencing bleeding complications in CT-guided puncture biopsy of brain occupying lesions]. Zhonghua Yi Xue Za Zhi 2024; 104:1403-1409. [PMID: 38644291 DOI: 10.3760/cma.j.cn112137-20231025-00891] [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] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Objective: To investigate the safety and accuracy of CT-guided intracranial puncture biopsy and the possible influencing factors of postoperative bleeding complications. Methods: A case series study. A retrospective analysis was conducted on 101 patients who underwent CT-guided intracranial puncture biopsy at the First Affiliated Hospital of Zhengzhou University from January 2017 to December 2021. The basic data of patients and the safety and accuracy of CT-guided intracranial puncture biopsy were analyzed statistically. Univariate and multivariate logistic regression analysis were used to screen the influencing factors of bleeding complications in CT-guided intracranial puncture biopsy, and the bleeding complications in glioma subgroup were analyzed. Results: Among the 101 patients, 53 were males and 48 were females, aged (53.7±17.2) years. The average diameter of intracranial lesions was (3.5±1.4) cm, while the vertical distance from the lesion to the meninges was (2.4±1.7) cm. The needle's intracranial depth reached (3.2±1.8) cm, with adjustments averaging (3±1) occurrences and an average procedural duration of (40.2±12.9) minutes. Pathological diagnoses included glioma (36 cases), gliosis (3 cases), lymphoma (32 cases), metastatic tumors (7 cases), inflammatory lesions (13 cases), and 10 indeterminate cases. The positive rate of puncture pathology was 90.1% (91/101), and the diagnostic coincidence rate was 94.0% (78/83). The incidence of bleeding complications in CT-guided intracranial puncture biopsy was 26.7% (27/101), of which 23 cases had small intratoma or needle path bleeding, 4 cases had massive bleeding, and 2 cases died. The patients were divided into bleeding group (n=27) and no bleeding group (n=74), according to the presence or absence of bleeding. The results of univariate logistic regression analysis showed that thrombin time≥15 s and the number of needle adjustment were the factors affecting the occurrence of bleeding complications (both P<0.05), and the results of multivariate logistic regression showed that thrombin time≥15 s was the related factor for bleeding. Patients with thrombin time≥15 s had a 3.045 times higher risk of bleeding than those with thrombin time<15 s (OR=3.045,95%CI:1.189-7.799,P=0.020). Among the 101 patients, 36 cases of midbrain glioma were divided into low-grade glioma group (n=11) and high-grade glioma group (n=25) according to the pathological grade. Subgroup analysis showed that the risk of bleeding for high-grade gliomas was 9.231 times higher than that for low-grade gliomas (OR=9.231,95%CI:1.023-83.331,P=0.031). Conclusions: CT-guided intracranial puncture biopsy is safe and feasible with high accuracy. Complication rates are associated with thrombin time≥15 s, especially high-grade glioma, which increases the risk of postoperative bleeding.
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Affiliation(s)
- Y D Li
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - M Y Gao
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - M Wang
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - F Gao
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Y Q Liu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - K P Du
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - S Li
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - H J Zhang
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Y F Yao
- Department of Intervention, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Z G Zhou
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
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Li S, Zhang T, Sun X, Li X. Construction of an Immunogenic Cell Death-Related Gene Signature and Genetic Subtypes for Predicting Prognosis, Immune Microenvironments, and Drug Sensitivity in Hepatocellular Carcinoma. J Inflamm Res 2024; 17:2427-2444. [PMID: 38681068 PMCID: PMC11049185 DOI: 10.2147/jir.s451800] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 03/29/2024] [Indexed: 05/01/2024] Open
Abstract
Purpose Immunogenic cell death (ICD) is a type of regulated cell death that modifies the immune response by releasing DAMPs or danger signals. Herein, we aimed to develop an ICD-related predictive model for patients with hepatocellular carcinoma (HCC) and investigate its applicability for predicting prognostic outcomes and immunotherapeutic responses. Methods Differentially expressed genes of ICD were identified in the HCC and normal liver samples. A prognostic risk model and a nomogram containing clinicopathological features were created. To validate the effectiveness of the model, an external dataset was used. Clinical characteristics, prognosis, tumor mutation burden, immune microenvironments, biological function and chemotherapeutic drug sensitivity were evaluated for different genetic subtypes and risk groups. Results A total of 35 ICD-related genes (ICDRGs) were identified between HCC and normal samples, 11 of which were significantly associated with overall survival (OS) in HCC patients. Four different genetic subtypes were formed and eight ICDRGs were selected to develop a risk prognostic model. The risk scores were shown to be an independent prognostic factor for HCC and positively correlated with pathological severity. Patients in the high-risk group had a higher frequency of TP53 mutations, increased expression of immune checkpoints and human leukocyte antigen genes. The inhibitory concentrations of chemotherapeutic drugs differed in different populations. Conclusion In this study, we developed an ICDRG risk model and demonstrated its applicability in predicting survival outcomes, immune and chemotherapeutic responses in HCC patients. ICDRGs are expected to be used as novel biomarkers in the medical decision-making of HCC.
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Affiliation(s)
- Shuo Li
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Tingyu Zhang
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Xin Sun
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Xiaoke Li
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
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Zhou X, He Y, Quan H, Yang J, Li S, Jiang Y, Li J, Yuan X. Exposure to nicotine regulates prostaglandin E2 secretion and autophagy of granulosa cells to retard follicular maturation in mammals. Ecotoxicol Environ Saf 2024; 277:116358. [PMID: 38653025 DOI: 10.1016/j.ecoenv.2024.116358] [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: 01/25/2024] [Revised: 04/09/2024] [Accepted: 04/19/2024] [Indexed: 04/25/2024]
Abstract
Exposure to nicotine by cigarette smoking have shown strongly defectives on the physiological function of ovaries, which in turn leads to disorders of fertility in women. However, the potential molecular mechanisms remain to be elucidated. In this study, we notably found that nicotine was likely to specifically raise the expression of histone deacetylase 3 (HDAC3) to promote the apoptosis and autophagy of granulosa cells (GCs) and block follicular maturation. Moreover, prostaglandin E2 (PGE2) inhibited the apoptosis of GCs and facilitated follicular maturation, and nicotine appeared to inhibit PGE2 secretion by freezing the expression of cyclooxygenase 1 (COX1), which was the rate-limiting and essential enzyme for PGE2 synthesis. Epigenetically, the nicotine was observed to diminish the histone H3 lysine 9 acetylation (H3K9ac) level and compact the chromatin accessibility in -1776/-1499 bp region of COX1 by evoking the expression of HDAC3, with the deactivated Cas9-HDAC3/sgRNA system. Mechanistically, the COX1 protein was found to pick up and degrade the autophagy related protein beclin 1 (BECN1) to control the autophagy of GCs. These results provided a potential new molecular therapy to recover the damage of female fertility induced by nicotine from cigarette smoking.
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Affiliation(s)
- Xiaofeng Zhou
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Yingting He
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Hongyan Quan
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Jinghao Yang
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Shuo Li
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Yao Jiang
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA 6149, Australia; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Jiaqi Li
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China.
| | - Xiaolong Yuan
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China.
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42
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Niu S, Tang S, Huang S, Liang L, Li S, Liu H. [Low-dose CT reconstruction based on high-dimensional partial differential equation projection recovery]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:682-688. [PMID: 38708501 DOI: 10.12122/j.issn.1673-4254.2024.04.09] [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] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE We propose a low-dose CT reconstruction method using partial differential equation (PDE) denoising under high-dimensional constraints. METHODS The projection data were mapped into a high-dimensional space to construct a high-dimensional representation of the data, which were updated by moving the points in the high-dimensional space. The data were denoised using partial differential equations and the CT image was reconstructed using the FBP algorithm. RESULTS Compared with those by FBP, PWLS-QM and TGV-WLS methods, the relative root mean square error of the Shepp-Logan image reconstructed by the proposed method were reduced by 68.87%, 50.15% and 27.36%, the structural similarity values were increased by 23.50%, 8.83% and 1.62%, and the feature similarity values were increased by 17.30%, 2.71% and 2.82%, respectively. For clinical image reconstruction, the proposed method, as compared with FBP, PWLS-QM and TGV-WLS methods, resulted in reduction of the relative root mean square error by 42.09%, 31.04% and 21.93%, increased the structural similarity values by 18.33%, 13.45% and 4.63%, and increased the feature similarity values by 3.13%, 1.46% and 1.10%, respectively. CONCLUSION The new method can effectively reduce the streak artifacts and noises while maintaining the spatial resolution in reconstructed low-dose CT images.
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Affiliation(s)
- S Niu
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China
- Ganzhou Key Laboratory of Computational Imaging, Gannan Normal University, Ganzhou 341000, China
| | - S Tang
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China
| | - S Huang
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China
| | - L Liang
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China
| | - S Li
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China
| | - H Liu
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China
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43
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Cao J, Sun Y, Ding X, Li S, Chen B, Lan T. [Arbutin ameliorates liver fibrosis in mice by inhibiting macrophage recruitment and regulating the Akt/NF-κB and Smad signaling pathways]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:652-659. [PMID: 38708497 DOI: 10.12122/j.issn.1673-4254.2024.04.05] [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] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To investigate the protective effect of arbutin against CCl4-induced hepatic fibrosis in mice and explore the underlying mechanisms. METHODS Twenty-four C57BL/6 mice were randomly divided into control group, model group, and low- and high-dose arbutin treatment (25 and 50 mg/kg, respectively) groups. Mouse models of liver fibrosis were established by intraperitoneal injection of CCl4, and arbutin was administered daily via gavage for 6 weeks. After the treatments, serum biochemical parameters of the mice were tested, and liver tissues were taken for HE staining, Sirius Red staining and immunohistochemical staining. RT-qPCR was used to detect the mRNA levels of α-SMA, Pdgfb, Col1α1, Timp-1, Ccl2 and Tnf-a, and Western blotting was performed to detect α-SMA protein expression in the liver tissues. In the cell experiment, the effect of arbutin treatment for 24 h on THP-1 and RAW264.7 cell migration and recruitment was examined using Transwell migration assay and DAPI staining; The changes in protein levels of Akt, p65, Smad3, p-Akt, p-p65, p-Smad3 and α-SMA in arbutintreated LX-2 cells were detected with Western blotting. RESULTS Arbutin treatment significantly lowered serum alanine aminotransferase and aspartate aminotransferase levels, alleviated liver tissue damage and collagen deposition, and reduced macrophage infiltration and α-SMA protein expression in the liver of the mouse models (P < 0.05 or 0.001). Arbutin treatment also significantly reduced CCl4-induced elevation of a-SMA, Pdgfb, Col1α1, Timp-1, Ccl2 and Tnf-a mRNA levels in mice (P < 0.05). In the cell experiment, arbutin treatment obviously inhibited migration and recruitment of THP-1 and RAW264.7 cells and lowered the phosphorylation levels of Akt, p65 and Smad3 and the protein expression level of α-SMA in LX-2 cells. CONCLUSION Arbutin ameliorates liver inflammation and fibrosis in mice by inhibiting hepatic stellate cell activation via reducing macrophage recruitment and infiltration and suppressing activation of the Akt/NF-κB and Smad signaling pathways.
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Affiliation(s)
- J Cao
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Y Sun
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Key Laboratory of Glucolipid Metabolic Disorder of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - X Ding
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Key Laboratory of Glucolipid Metabolic Disorder of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - S Li
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Key Laboratory of Glucolipid Metabolic Disorder of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - B Chen
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Key Laboratory of Glucolipid Metabolic Disorder of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - T Lan
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Key Laboratory of Glucolipid Metabolic Disorder of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou 510006, China
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
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44
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Wang Z, Yang M, Li S, Chi H, Wang J, Xiao C. [A transcriptomic analysis of correlation between mitochondrial function and energy metabolism remodeling in mice with myocardial fibrosis following myocardial infarction]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:666-674. [PMID: 38708499 DOI: 10.12122/j.issn.1673-4254.2024.04.07] [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] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To investigate the changes of mitochondrial respiratory function during myocardial fibrosis in mice with myocardial infarction (MI) and its correlation with the increase of glycolytic flux. METHODS Forty C57BL/6N mice were randomized into two equal groups to receive sham operation or ligation of the left anterior descending coronary artery to induce acute MI. At 28 days after the operation, 5 mice from each group were euthanized and left ventricular tissue samples were collected for transcriptomic sequencing. FPKM method was used to calculate gene expression levels to identify the differentially expressed genes (DEGs) in MI mice, which were analyzed using GO and KEGG databases to determine the pathways affecting the disease process. Heat maps were drawn to show the differential expressions of the pathways and the related genes in the enrichment analysis. In primary cultures of neonatal mouse cardiac fibroblasts (CFs), the changes in mitochondrial respiration and glycolysis levels in response to treatment with the pro-fibrotic agonist TGF-β1 were analyzed using Seahorse experiment. RESULTS The mouse models of MI showed significantly increased diastolic and systolic left ventricular diameter (P < 0.05) and decreased left ventricular ejection fraction (P < 0.0001). A total of 124 up-regulated and 106 down-regulated DEGs were identified in the myocardial tissues of MI mice, and GO and KEGG enrichment analysis showed that these DEGs were significantly enriched in fatty acid metabolism, organelles and other metabolic pathways and in the mitochondria. Heat maps revealed fatty acid beta oxidation, mitochondrial dysfunction and increased glycolysis levels in MI mice. In the primary culture of CFs, treatment with TGF-β1 significantly reduced the basal and maximum respiratory levels and increased the basal and maximum glycolysis levels (P < 0.0001). CONCLUSION During myocardial fibrosis, energy metabolism remodeling occurs in the CFs, manifested by lowered mitochondrial function and increased energy generation through glycolysis.
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Affiliation(s)
- Z Wang
- Chinese PLA Medical School, Beijing 100853, China
- Department of Cardiovascular Surgery, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100037, China
| | - M Yang
- Department of Cardiovascular Surgery, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100037, China
| | - S Li
- Department of Cardiovascular Surgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - H Chi
- Department of Cardiovascular Surgery, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100037, China
| | - J Wang
- Department of Cardiovascular Surgery, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100037, China
| | - C Xiao
- Department of Cardiovascular Surgery, Sixth Medical Center of Chinese PLA General Hospital, Beijing 100037, China
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Man H, Wang J, Wu M, Shao Y, Yang J, Li S, Lü J, Zhou Y. [ Jisuikang formula promotes spinal cord injury repair in rats by activating the YAP/PKM2 signaling axis in astrocytes]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:636-643. [PMID: 38708495 DOI: 10.12122/j.issn.1673-4254.2024.04.03] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To investigate the effect of Jisuikang formula-medicated serum for promoting spinal cord injury (SCI) repair in rats and explore the possible mechanism. METHODS Thirty adult SD rats were randomized into sham-operated group, SCI (induced using a modified Allen method) model group, and Jisuikang formula-medicated serum treatment group. After the operations, the rats were treated with normal saline or Jisuikang by gavage on a daily basis for 14 days, and the changes in hindlimb motor function of the rats was assessed with Basso-Beattie-Bresnahan (BBB) scores and inclined-plate test. The injured spinal cord tissues were sampled from the SCI rat models for single-cell RNA sequencing, and bioinformatics analysis was performed to identify the target genes of Jisuikang, spinal cord injury and glycolysis. In the cell experiment, cultured astrocytes from neonatal SD rat cortex were treated with SOX2 alone or in combination with Jisuikang-medicated serum for 21 days, and the protein expressions of PKM2, p-PKM2 and YAP and colocalization of PKM2 and YAP in the cells were analyzed with Western blotting and immunofluorescence staining, respectively. RESULTS The SCI rats with Jisuikang treatment showed significantly improved BBB scores and performance in inclined-plate test. At the injury site, high PKM2 expression was detected in various cell types. Bioinformatic analysis identified the HIPPO-YAP signaling pathway as the target pathway of Jisuikang. In cultured astrocytes, SOX2 combined with the mediated serum, as compared with SOX2 alone, significantly increased PKM2, p-PKM2 and YAP expressions and entry of phosphorylated PKM2 into the nucleus, and promoted PKM2 and YAP co-localization in the cells. CONCLUSION Jisuikang formula accelerates SCI repair in rats possibly by promoting aerobic glycolysis of the astrocytes via activating the PKM2/YAP axis to induce reprogramming of the astrocytes into neurons.
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Affiliation(s)
- H Man
- Nanjing University of Chinese Medicine, Nanjing 210023, China
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - J Wang
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - M Wu
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - Y Shao
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - J Yang
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - S Li
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - J Lü
- Nanjing University of Chinese Medicine, Nanjing 210023, China
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
| | - Y Zhou
- Wuxi Traditional Chinese Medicine Hospital, Wuxi 214071, China
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46
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Santiesteban SN, Li S, Abrams D, Alsalmi S, Androic D, Aniol K, Arrington J, Averett T, Ayerbe Gayoso C, Bane J, Barcus S, Barrow J, Beck A, Bellini V, Bhatt H, Bhetuwal D, Biswas D, Camsonne A, Castellanos J, Chen J, Chen JP, Chrisman D, Christy ME, Clarke C, Covrig S, Cruz-Torres R, Day D, Dutta D, Fuchey E, Gal C, Garibaldi F, Gautam TN, Gogami T, Gomez J, Guèye P, Hague TJ, Hansen JO, Hauenstein F, Henry W, Higinbotham DW, Holt RJ, Hyde C, Itabashi K, Kaneta M, Karki A, Katramatou AT, Keppel CE, King PM, Kurbany L, Kutz T, Lashley-Colthirst N, Li WB, Liu H, Liyanage N, Long E, Lovato A, Mammei J, Markowitz P, McClellan RE, Meddi F, Meekins D, Michaels R, Mihovilovič M, Moyer A, Nagao S, Nguyen D, Nycz M, Olson M, Ou L, Owen V, Palatchi C, Pandey B, Papadopoulou A, Park S, Petkovic T, Premathilake S, Punjabi V, Ransome RD, Reimer PE, Reinhold J, Riordan S, Rocco N, Rodriguez VM, Schmidt A, Schmookler B, Segarra EP, Shahinyan A, Širca S, Slifer K, Solvignon P, Su T, Suleiman R, Tang L, Tian Y, Tireman W, Tortorici F, Toyama Y, Uehara K, Urciuoli GM, Votaw D, Williamson J, Wojtsekhowski B, Wood S, Ye ZH, Zhang J, Zheng X. Novel Measurement of the Neutron Magnetic Form Factor from A=3 Mirror Nuclei. Phys Rev Lett 2024; 132:162501. [PMID: 38701469 DOI: 10.1103/physrevlett.132.162501] [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: 04/28/2023] [Revised: 10/05/2023] [Accepted: 02/21/2024] [Indexed: 05/05/2024]
Abstract
The electromagnetic form factors of the proton and neutron encode information on the spatial structure of their charge and magnetization distributions. While measurements of the proton are relatively straightforward, the lack of a free neutron target makes measurements of the neutron's electromagnetic structure more challenging and more sensitive to experimental or model-dependent uncertainties. Various experiments have attempted to extract the neutron form factors from scattering from the neutron in deuterium, with different techniques providing different, and sometimes large, systematic uncertainties. We present results from a novel measurement of the neutron magnetic form factor using quasielastic scattering from the mirror nuclei ^{3}H and ^{3}He, where the nuclear effects are larger than for deuterium but expected to largely cancel in the cross-section ratios. We extracted values of the neutron magnetic form factor for low-to-modest momentum transfer, 0.6
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Affiliation(s)
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - D Abrams
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
- King Saud University, Riyadh 11451, Kingdom of Saudi Arabia
| | - D Androic
- University of Zagreb, Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, California 90032, USA
| | - J Arrington
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - T Averett
- William and Mary, Williamsburg, Virginia 23185, USA
| | | | - J Bane
- University of Tennessee, Knoxville, Tennessee 37966, USA
| | - S Barcus
- William and Mary, Williamsburg, Virginia 23185, USA
| | - J Barrow
- University of Tennessee, Knoxville, Tennessee 37966, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Castellanos
- Florida International University, Miami, Florida 33199, USA
| | - J Chen
- William and Mary, Williamsburg, Virginia 23185, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Chrisman
- Michigan State University, East Lansing, Michigan 48824, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Clarke
- Stony Brook, State University of New York, New York 11794, USA
| | - S Covrig
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Cruz-Torres
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - D Day
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | | | - T N Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - T Gogami
- Tohoku University, Sendai, Japan
| | - J Gomez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Guèye
- Hampton University, Hampton, Virginia 23669, USA
- Michigan State University, East Lansing, Michigan 48824, USA
| | - T J Hague
- Kent State University, Kent, Ohio 44240, USA
| | - J O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R J Holt
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | - M Kaneta
- Tohoku University, Sendai, Japan
| | - A Karki
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | | | - C E Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - L Kurbany
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - T Kutz
- Stony Brook, State University of New York, New York 11794, USA
| | | | - W B Li
- William and Mary, Williamsburg, Virginia 23185, USA
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - E Long
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - A Lovato
- Physics Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
- Computational Science Division, Argonne National Laboratory, Argonne, Illinois 60439, USA
- INFN-TIFPA Trento Institute for Fundamental Physics and Applications, 38123 Trento, Italy
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - R E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Mihovilovič
- Jožef Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, DE-55128 Mainz, Germany
| | - A Moyer
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - S Nagao
- Tohoku University, Sendai, Japan
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - M Olson
- Saint Norbert College, De Pere, Wisconsin 54115, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Owen
- William and Mary, Williamsburg, Virginia 23185, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | | | - S Premathilake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23529, USA
| | - R D Ransome
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - P E Reimer
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Reinhold
- Florida International University, Miami, Florida 33199, USA
| | - S Riordan
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - N Rocco
- Theoretical Physics Department, Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V M Rodriguez
- División de Ciencias y Tecnología, Universidad Ana G. Méndez, Recinto de Cupey, San Juan 00926, Puerto Rico
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - S Širca
- Jožef Stefan Institute, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - K Slifer
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - P Solvignon
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - R Suleiman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Tang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Tian
- Syracuse University, Syracuse, New York 13244, USA
| | - W Tireman
- Northern Michigan University, Marquette, Michigan 49855, USA
| | | | - Y Toyama
- Tohoku University, Sendai, Japan
| | - K Uehara
- Tohoku University, Sendai, Japan
| | | | - D Votaw
- Michigan State University, East Lansing, Michigan 48824, USA
| | - J Williamson
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z H Ye
- Argonne National Laboratory, Lemont, Illinois 60439, USA
- Tsinghua University, Beijing, China
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
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47
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Li S, Lu D, Li S, Liu J, Xu Y, Yan Y, Rodriguez JZ, Bai H, Avila R, Kang S, Ni X, Luan H, Guo H, Bai W, Wu C, Zhou X, Hu Z, Pet MA, Hammill CW, MacEwan MR, Ray WZ, Huang Y, Rogers JA. Bioresorbable, wireless, passive sensors for continuous pH measurements and early detection of gastric leakage. Sci Adv 2024; 10:eadj0268. [PMID: 38640247 PMCID: PMC11029800 DOI: 10.1126/sciadv.adj0268] [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] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 03/18/2024] [Indexed: 04/21/2024]
Abstract
Continuous monitoring of biomarkers at locations adjacent to targeted internal organs can provide actionable information about postoperative status beyond conventional diagnostic methods. As an example, changes in pH in the intra-abdominal space after gastric surgeries can serve as direct indicators of potentially life-threatening leakage events, in contrast to symptomatic reactions that may delay treatment. Here, we report a bioresorbable, wireless, passive sensor that addresses this clinical need, designed to locally monitor pH for early detection of gastric leakage. A pH-responsive hydrogel serves as a transducer that couples to a mechanically optimized inductor-capacitor circuit for wireless readout. This platform enables real-time monitoring of pH with fast response time (within 1 hour) over a clinically relevant period (up to 7 days) and timely detection of simulated gastric leaks in animal models. These concepts have broad potential applications for temporary sensing of relevant biomarkers during critical risk periods following diverse types of surgeries.
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Affiliation(s)
- Shuo Li
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Di Lu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Shupeng Li
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Jiaqi Liu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yameng Xu
- The Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Ying Yan
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jorge Zárate Rodriguez
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Hedan Bai
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Raudel Avila
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Shuming Kang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Xinchen Ni
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Hexia Guo
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Wubin Bai
- Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Changsheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
| | - Xuhao Zhou
- Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
| | - Ziying Hu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Mitchell A. Pet
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Chet W. Hammill
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Matthew R. MacEwan
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Wilson Z. Ray
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
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Meng A, Li X, Li Z, Miao F, Ma L, Li S, Sun W, Huang J, Yang G. Genome assembly of Melilotus officinalis provides a new reference genome for functional genomics. BMC Genom Data 2024; 25:37. [PMID: 38637749 PMCID: PMC11025269 DOI: 10.1186/s12863-024-01224-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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Sweet yellow clover (Melilotus officinalis) is a diploid plant (2n = 16) that is native to Europe. It is an excellent legume forage. It can both fix nitrogen and serve as a medicine. A genome assembly of Melilotus officinalis that was collected from Best corporation in Beijing is available based on Nanopore sequencing. The genome of Melilotus officinalis was sequenced, assembled, and annotated. RESULTS The latest PacBio third generation HiFi assembly and sequencing strategies were used to produce a Melilotus officinalis genome assembly size of 1,066 Mbp, contig N50 = 5 Mbp, scaffold N50 = 130 Mbp, and complete benchmarking universal single-copy orthologs (BUSCOs) = 96.4%. This annotation produced 47,873 high-confidence gene models, which will substantially aid in our research on molecular breeding. A collinear analysis showed that Melilotus officinalis and Medicago truncatula shared conserved synteny. The expansion and contraction of gene families showed that Melilotus officinalis expanded by 565 gene families and shrank by 56 gene families. The contacted gene families were associated with response to stimulus, nucleotide binding, and small molecule binding. Thus, it is related to a family of genes associated with peptidase activity, which could lead to better stress tolerance in plants. CONCLUSIONS In this study, the latest PacBio technology was used to assemble and sequence the genome of the Melilotus officinalis and annotate its protein-coding genes. These results will expand the genomic resources available for Melilotus officinalis and should assist in subsequent research on sweet yellow clover plants.
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Affiliation(s)
- Aoran Meng
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | - Xinru Li
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | - Zhiguang Li
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | - Fuhong Miao
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | - Lichao Ma
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | - Shuo Li
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | - Wenfei Sun
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China
| | | | - Guofeng Yang
- Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, 266109, Qingdao, China.
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Chen Y, Liu L, Yu L, Li S, Zhu N, You J. Curcumin Supplementation Improves Growth Performance and Anticoccidial Index by Improving the Antioxidant Capacity, Inhibiting Inflammatory Responses, and Maintaining Intestinal Barrier Function in Eimeria tenella-Infected Broilers. Animals (Basel) 2024; 14:1223. [PMID: 38672370 PMCID: PMC11047685 DOI: 10.3390/ani14081223] [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: 02/04/2024] [Revised: 04/07/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
This study was conducted to investigate the effects of dietary curcumin supplementation on growth performance, anticoccidial index, antioxidant capacity, intestinal inflammation, and cecum microbiota in broilers infected with Eimeria tenella. A total of 234 one-day-old broilers were categorized into three treatments, with six replicates per treatment containing 13 broilers each. The three treatments included the control group, Eimeria tenella group, and Eimeria tenella + curcumin (200 mg/kg) group. The feeding trial lasted for 42 days, during which the broilers were orally administered with 0.9% saline or 5 × 104Eimeria tenella oocysts on day 14 of the study. On day 17 and day 21, one bird per replicate was selected for slaughtering. Results indicated an increased survival rate and anticoccidial index and improved productive performance in coccidia-infected broilers with curcumin supplementation. Furthermore, curcumin enhanced the serum antioxidant capacity in Eimeria tenella-infected broilers, evidenced by increased serum catalase activity (3d, 7d), as well as decreased malondialdehyde level (3d, 7d) and nitric oxide synthase activity (7d) (p < 0.05). Curcumin also improved intestinal inflammation and barrier function, evidenced by the downregulation of interleukin (IL)-1β (3d, 7d), TNF-alpha (TNF-α) (3d, 7d), and IL-2 (7d) and the up-regulated mRNA levels of claudin-1 (7d), zonula occludens (ZO-1; 3d, 7d), and occludin (3d, 7d) in the ceca of infected broilers (p < 0.05). Eimeria tenella infection significantly disrupted cecum microbial balance, but curcumin did not alleviate cecum microbial disorder in broilers infected with Eimeria tenella. Collectively, curcumin supplementation enhanced growth performance and anticoccidial index in Eimeria tenella-infected broilers via improving antioxidant ability and cecum inflammation without affecting cecum microbiota.
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Affiliation(s)
- Yan Chen
- Jiangxi Province Key Laboratory of Animal Nutrition, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (Y.C.); (L.Y.); (S.L.)
| | - Liheng Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China;
| | - Longfei Yu
- Jiangxi Province Key Laboratory of Animal Nutrition, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (Y.C.); (L.Y.); (S.L.)
| | - Shuo Li
- Jiangxi Province Key Laboratory of Animal Nutrition, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (Y.C.); (L.Y.); (S.L.)
| | - Nianhua Zhu
- Jiangxi Province Key Laboratory of Animal Nutrition, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (Y.C.); (L.Y.); (S.L.)
| | - Jinming You
- Jiangxi Province Key Laboratory of Animal Nutrition, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (Y.C.); (L.Y.); (S.L.)
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50
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Lu H, Zhang Y, Zhu M, Li S, Liang H, Bi P, Wang S, Wang H, Gan L, Wu XE, Zhang Y. Intelligent perceptual textiles based on ionic-conductive and strong silk fibers. Nat Commun 2024; 15:3289. [PMID: 38632231 PMCID: PMC11024123 DOI: 10.1038/s41467-024-47665-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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 04/05/2024] [Indexed: 04/19/2024] Open
Abstract
Endowing textiles with perceptual function, similar to human skin, is crucial for the development of next-generation smart wearables. To date, the creation of perceptual textiles capable of sensing potential dangers and accurately pinpointing finger touch remains elusive. In this study, we present the design and fabrication of intelligent perceptual textiles capable of electrically responding to external dangers and precisely detecting human touch, based on conductive silk fibroin-based ionic hydrogel (SIH) fibers. These fibers possess excellent fracture strength (55 MPa), extensibility (530%), stable and good conductivity (0.45 S·m-1) due to oriented structures and ionic incorporation. We fabricated SIH fiber-based protective textiles that can respond to fire, water, and sharp objects, protecting robots from potential injuries. Additionally, we designed perceptual textiles that can specifically pinpoint finger touch, serving as convenient human-machine interfaces. Our work sheds new light on the design of next-generation smart wearables and the reshaping of human-machine interfaces.
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Affiliation(s)
- Haojie Lu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Yong Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Mengjia Zhu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Shuo Li
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Huarun Liang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Peng Bi
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Shuai Wang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Haomin Wang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Linli Gan
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Xun-En Wu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China
| | - Yingying Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing, P. R. China.
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