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Rezaeian P, Shufelt C, Wei J, Pacheco C, Cook-Wiens G, Berman D, Tamarappoo B, Thomson L, Nelson M, Anderson R, Petersen J, Handberg E, Pepine C, Merz CB. Arterial stiffness assessment in coronary microvascular dysfunction and heart failure with preserved ejection fraction: An initial report from the WISE-CVD continuation study. Am Heart J Plus 2024; 41:100390. [PMID: 38600957 PMCID: PMC11004063 DOI: 10.1016/j.ahjo.2024.100390] [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] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
Background Heart failure with preserved ejection fraction (HFpEF) is the most common cardiac complication in patients with coronary microvascular dysfunction (CMD), yet its underlying pathways remain unclear. Aortic pulse-wave velocity (aPWV) is an indicator of large artery stiffness and a predictor for cardiovascular disease. However, aPWV in CMD and HFpEF is not well characterized and may provide understanding of disease progression. Methods Among participants without obstructive coronary artery disease, we evaluated 51 women with suspected CMD and 20 women and men with evidence of HFpEF. All participants underwent aPWV measurement (SphygmoCor, Atcor Medical) with higher aPWV indicating greater vascular stiffness. Cardiac magnetic resonance imaging (CMRI) assessed left ventricular (LV) ejection fraction, CMD via myocardial perfusion reserve index (MPRI), and ventricular remodeling via LV mass-volume ratio. . Statistical analysis was performed using Wilcoxon rank sum tests, Pearson correlations and linear regression analysis. Results Compared to the suspected CMD group, the HFpEF participants were older (65 ± 12 vs 56 ± 11 yrs., p = 0.002) had higher BMI (31.0 ± 4.3 vs 27.8 ± 6.7 kg/m2, p = 0.013), higher aPWV (10.5 ± 2.0 vs 8.0 ± 1.6 m/s, p = 0.05) and lower MPRI (1.5 ± 0.3 vs1.8 ± 0.3, p = 0.02), but not remodeling. In a model adjusted for cardiovascular risk factors, the HFpEF group had a lower LVEF (estimate -4.78, p = 0.0437) than the suspected CMD group. Conclusions HFpEF participants exhibit greater arterial stiffness and lower myocardial perfusion reserve, with lower LVEF albeit not remodeling, compared to suspected CMD participants. These findings suggest arterial stiffness may contribute to progression from CMD to HFpEF. Prospective work is needed and ongoing.
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Affiliation(s)
- P. Rezaeian
- Torrance Memorial Medical Center-A Cedars-Sinai Affiliate, Torrance, CA, USA
| | - C.L. Shufelt
- Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - J. Wei
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - C. Pacheco
- Hôspital Pierre-Boucher, Centre Hospitalier de l'Université de Montréal, Université de Montreal, QC, Canada
| | - G. Cook-Wiens
- Torrance Memorial Medical Center-A Cedars-Sinai Affiliate, Torrance, CA, USA
| | - D. Berman
- Taper Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - B. Tamarappoo
- Taper Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - L.E. Thomson
- Taper Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - M.D. Nelson
- The University of Texas at Arlington, Arlington, TX, USA
| | - R.D. Anderson
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - J. Petersen
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - E.M. Handberg
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - C.J. Pepine
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - C.N. Bairey Merz
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
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Wei J, Wen Q, Zhan S, Cao J, Jiang Y, Lian J, Mai Y, Qiu M, Liu Y, Chen P, Lin Q, Wei X, Wei Y, Huang Q, Zhang R, He S, Yuan G, Wei Q, Zhou Z, Yu H. Functional genetic variants of the disulfidptosis-related INF2 gene predict survival of hepatitis B virus-related hepatocellular carcinoma. Carcinogenesis 2024; 45:199-209. [PMID: 38270181 DOI: 10.1093/carcin/bgae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/18/2023] [Accepted: 01/23/2024] [Indexed: 01/26/2024] Open
Abstract
Disulfidptosis is a novel form of programmed cell death involved in migration and invasion of cancer cells, but few studies investigated the roles of genetic variants in disulfidptosis-related genes in survival of patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). We used Cox proportional hazards regression analyses, Kaplan-Meier curves and receiver operating characteristic curves to assess effects of genetic variants in 14 disulfidptosis-related genes on overall survival of 866 HBV-HCC patients. The Bayesian false discovery probability was used for multiple testing corrections. We also investigated biological mechanisms of the significant variants through expression quantitative trait loci analyses using the data from publicly available databases, luciferase reporter assays and differential expression analyses. As a result, we identified two independently functional single nucleotide polymorphisms (SNPs) (INF2 rs4072285 G > A and INF2 rs4444271 A > T) that predicted overall survival of HBV-HCC patients, with adjusted hazard ratios of 1.60 (95% CI = 1.22-2.11, P = 0.001) and 1.50 (95% CI = 1.80-1.90, P < 0.001), respectively, after multiple testing correction. Luciferase reporter assays indicated that both INF2 rs4072285 A and INF2 rs4444271 T alleles increased INF2 mRNA expression levels (P < 0.001) that were also higher in HCC tumor tissues than in adjacent normal tissues (P < 0.001); such elevated INF2 expression levels were associated with a poorer survival of HBV-HCC patients (P < 0.001) in the TCGA database. In summary, this study supported that INF2 rs4072285 and INF2 rs4444271 may be novel biomarkers for survival of HBV-HCC patients.
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Affiliation(s)
- Junjie Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Yanji Jiang
- Department of Scientific Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Jiawei Lian
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Yuejiao Mai
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Peiqin Chen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Xiaoxia Wei
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Yuying Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Qiongguang Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Ruoxin Zhang
- School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Songqing He
- Division of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
- Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Nanning, Guangxi 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, China
| | - Guandou Yuan
- Division of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
- Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Nanning, Guangxi 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, China
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, 10 Bryn Searle Dr., Durham, NC, 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, China
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Qin L, Qiu M, Lin Q, Jiang B, Zhan S, Wei X, Wei J, Liu Y, Wen Q, Chen P, Jiang Y, Zhou Z, Liang X, Cao J, Gong Y, Wei Y, Wei X, Yu H. Association between novel genetic variants of Notch signaling pathway genes and survival of hepatitis B virus-related hepatocellular carcinoma. Cancer Med 2024; 13:e7040. [PMID: 38562021 PMCID: PMC10985410 DOI: 10.1002/cam4.7040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/22/2023] [Accepted: 02/08/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Although the Notch pathway plays an important role in formation and progression of hepatocellular carcinoma (HCC), few studies have reported the associations between functional genetic variants and the survival of hepatitis B virus (HBV)-related HCC. METHODS In the present study, we performed multivariable Cox proportional hazard regression analysis to evaluate associations between 36,101 SNPs in 264 Notch pathway-related genes and overall survival (OS) of 866 patients with HBV-related HCC. RESULTS It was found that three independent SNPs (NEURL1B rs4868192, CNTN1 rs444927 and FCER2 rs1990975) were significantly associated with the HBV-related HCC OS. The number of protective genotypes (NPGs) were significantly associated with better survival in a dose-response manner (ptrend <0.001). Compared with the model with sole clinical factors, the addition of protective genotypes to the predict models significantly increased the AUC, i.e., from 72.72% to 75.13% (p = 0.002) and from 72.04% to 74.76 (p = 0.004) for 3-year and 5-year OS, respectively. The expression quantitative trait loci (eQTL) analysis further revealed that the rs4868192 C allele was associated with lower mRNA expression levels of NEURL1B in the whole blood (p = 1.71 × 10-3), while the rs1990975 T allele was correlated with higher mRNA expression levels of FCER2 in the whole blood and normal liver tissues (p = 3.51 × 10-5 and 0.033, respectively). CONCLUSIONS Three potentially functional SNPs of NEURL1B, CNTN1 and FCER2 may serve as potential prognostic biomarkers for HBV-related HCC.
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Affiliation(s)
- Liming Qin
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Moqin Qiu
- Department of Respiratory OncologyGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuling Lin
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Binbin Jiang
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Xueyan Wei
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Junjie Wei
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Yingchun Liu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuping Wen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Peiqin Chen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Yanji Jiang
- Department of Scientific ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Zihan Zhou
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Xiumei Liang
- Department of Disease Process ManagementGuangxi Medical University Cancer HospitalNanningChina
| | - Ji Cao
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Yizhen Gong
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Yuying Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Xiaoxia Wei
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Hongping Yu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor(Guangxi Medical University), Ministry of EducationNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
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Wei J, Chai Y, Zhou J, Pan Y, Jia T, Xiong L, Yao G, Zhang Z, Xu H, Zhao C. Discovery of Arylfluorosulfates as Novel Fungicidal Agents against Plant Pathogens. J Agric Food Chem 2024; 72:3456-3468. [PMID: 38331710 DOI: 10.1021/acs.jafc.3c04573] [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] [Indexed: 02/10/2024]
Abstract
A series of arylfluorosulfates were synthesized as fungicide candidates through a highly efficient sulfur fluoride exchange (SuFEx) reaction. A total of 32 arylfluorosulfate derivatives with simple structures have been synthesized, and most of them exhibited fungal activities in vitro against five agricultural pathogens (Rhizoctonia solani, Botrytis cinerea, Fusarium oxysporum, Pyricularia oryzae, and Phytophthora infestans). Among the target compounds, compound 31 exhibited great antifungal activity against Rhizoctonia solani (EC50 = 1.51 μg/mL), which was comparable to commercial fungicides carbendazim and thiabendazole (EC50 = 0.53 and 0.70 μg/mL, respectively); compounds 17 and 30 exhibited antifungal activities against Pyricularia oryzae (EC50 = 1.64 and 1.73 μg/mL, respectively) comparable to carbendazim (EC50 = 1.02 μg/mL). The in vitro antifungal effect of compound 31 was also evaluated on rice plants against Rhizoctonia solani. Significant preventive and curative efficacies were observed (89.2% and 91.8%, respectively, at 200 μg/mL), exceeding that of thiabendazole. Primary study on the mechanism of action indicated that compound 31 could suppress the sclerotia formation of Rhizoctonia solani even at a very low concentration (1.00 μg/mL), destroy the cell membrane and mitochondria, trigger the release of cellular contents, produce excessive reactive oxygen species (ROS), and suppress the activity of several related enzymes. This work could bring new insights into the development of arylfluorosulfates as novel fungicides.
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Affiliation(s)
- Junjie Wei
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Yunlong Chai
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Jiarun Zhou
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Yaxin Pan
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Tianhao Jia
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Lantu Xiong
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Guangkai Yao
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Zhixiang Zhang
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Hanhong Xu
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Chen Zhao
- National Key Laboratory of Green Pesticide, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
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Chen S, Chen J, Zhang J, Wang K, Wei J, Weng M, Zhu L. Laparoscopic prostatectomy with complete urethral reconstruction for sexual active BPH patients. MINIM INVASIV THER 2024; 33:29-34. [PMID: 37971312 DOI: 10.1080/13645706.2023.2264390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 09/14/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE To describe our technique of transvesical laparoscopic simple prostatectomy (LSP) plus complete urethral reconstruction(CUR). MATERIAL AND METHODS From May 2019 to May 2021, 28 BPH patients with prostate volumes > 80 ml and the requirement to preserve the ejaculatory function (EF) received LSP plus CUR. Baseline demographics, pathology data, perioperative and postoperative complications, and functional outcomes were assessed. Data were analyzed with the Wilcoxon test. RESULTS The median prostate volume was 106 ml. All patients successfully underwent LSP with no intraoperative complications or conversions to open surgery. The median operative time was 146 min. A total of five Clavien-Dindo Grade1-2 postoperative complications were noted, including infection, prolonged urine leakage and cardiac arrhythmia. No patient reported postoperative urgent or stress urinary incontinence. Functional outcomes at one-year follow-up demonstrated significant improvement from baseline with median IPSS and Qmax (p both < 0.001). Compared with baseline, no significant difference was observed in IIEF and MSHQ-EjD-SF at 6 and 12 months postoperatively. CONCLUSIONS Our data support transperitoneal-transvesical LSP plus CUR as a safe and effective surgical technique for treating BPH with large prostate adenoma, regardless of the volume of the median lobe, especially for patients requiring to preserve antegrade ejaculation.
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Affiliation(s)
- Shushang Chen
- Department of Urology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
| | - Jin Chen
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Institute of Transplantation Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jianping Zhang
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Department of Urology, Affiliated Haixia Hospital of Huaqiao University, Quanzhou, China
| | - Kuanyin Wang
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Department of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Junjie Wei
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
| | - Mingfang Weng
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
| | - Lingfeng Zhu
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Department of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
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Chen S, Chen J, Zhang J, Wang K, Wei J, Weng M, Zhu L. Comparison of RLP and PCNL for large pelvis calculi with CKD. MINIM INVASIV THER 2024; 33:51-57. [PMID: 38147882 DOI: 10.1080/13645706.2023.2286241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/23/2023] [Indexed: 12/28/2023]
Abstract
OBJECTIVES To compare the effect and safety of retroperitoneal laparoscopic pyelolithotomy (RLP) and percutaneous nephrolithotomy (PCNL) for large pelvis calculi with chronic kidney disease (CKD). MATERIAL AND METHODS Between June 2017 and July 2021, 62 patients with CKD and large renal pelvis calculi (>4 cm2) were treated with RLP. Another 62 patients receiving PCNL served as controls. The perioperative parameters were compared. All patients were followed up for at least 6 months with the stone-free rate and the recovery of renal function evaluated. RESULTS Significantly longer operation time (101.47 ± 9.25 vs 62.55 ± 7.54 min), less drop in hemoglobin level (0.90 ± 0.38 vs 2.13 ± 0.80 g/dl), staged operations (0% vs 12.9%), postoperative fever (3.23% vs 16.13%) and delayed bowel movement (3.23% vs 14.52), and shorter hospitalization time (3.90 ± 1.66 vs 4.72 ± 1.80 days) were observed in the RLP group (p < 0.05). The stone-free rates were 100% in the RLP group and 88.7% in the PCNL group at the 3-months follow-up (p < 0.05). The serum creatinine level was significantly lower in the RLP group at 24 h (2.81 ± 1.18 vs 3.00 ± 1.15 mg/dl) and 1 week (2.08 ± 1.13 vs 2.34 ± 1.01 mg/dl) postoperatively (p < 0.05). CONCLUSIONS Although associated with a longer operation time, RLP is a safer and more efficient surgical option for CKD patients with large pelvic stones than PCNL.
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Affiliation(s)
- Shushang Chen
- Department of Urology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
| | - Jin Chen
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Institute of Transplantation Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jianping Zhang
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Department of Urology, Affiliated Haixia Hospital of Huaqiao University, Quanzhou, China
| | - Kuanyin Wang
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Department of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Junjie Wei
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
| | - Mingfang Weng
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
| | - Lingfeng Zhu
- Department of Urology, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China
- Department of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
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Berg L, Dave A, Ye H, Wei J, Pattanakamjonkit P, Farah M, Yoong W. Obstetric outcomes in Jehovah's Witnesses: case series over nine years in a London teaching hospital. Arch Gynecol Obstet 2024; 309:475-481. [PMID: 36735030 DOI: 10.1007/s00404-023-06940-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/17/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVES The aim of the study is to assess obstetric and fetal outcomes of Jehovah's Witnesses (JWs) mothers in an inner city teaching hospital, as well as to examine the acceptance rates of various blood fractions and blood transfusion alternatives. METHODS Case series to evaluate the maternal and fetal outcomes of JWs over a nine period between 2013 and 2021. RESULTS There were 146 pregnancies extracted from our database, of which 10 were early pregnancy losses. Data from 136 deliveries > 24 weeks' gestation were assessed, with a mean maternal age and gestational age of 30.26 (± 5.4) years and 38.7 (± 5.3) weeks, respectively. 57% had normal vaginal deliveries, 8% had instrumental births and 35% had caesarean births. Mean estimated blood loss at caesarean was 575 (± 305.6) mls, while the overall mean estimated loss was 427.8 (± 299.8) mls. Cell salvage was performed in all caesarean sections but autologous transfusion was only necessary for 26%. Consultant presence was documented in 62% of caesarean births. The mean birthweight and 5-min Apgar scores were 3.31 (± 0.05) kg and 9.1 (± 0.09), respectively. There were no maternal deaths or admissions to the adult intensive care unit and the most serious complication was a uterine rupture following a trial of scar, after which the baby required cooling for hypoxic ischaemic encephalopathy. CONCLUSIONS Pregnant JWs received obstetric care led by senior clinicians, with optimisation of haematinics, minimizing of blood loss at delivery and access to technology such as cell salvage.
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Affiliation(s)
- L Berg
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - A Dave
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - H Ye
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - J Wei
- St. George's International School of Medicine, St. George's, Grenada
| | | | - M Farah
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - W Yoong
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK.
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Jiang Z, Wang J, Qin Y, Liu S, Luo B, Bai F, Wei H, Zhang S, Wei J, Ding G, Ma L, He S, Chen R, Sun Y, Chen Y, Wang L, Xu H, Wang X, Chen G, Lei W. A nonhuman primate model with Alzheimer's disease-like pathology induced by hippocampal overexpression of human tau. Alzheimers Res Ther 2024; 16:22. [PMID: 38281031 PMCID: PMC10821564 DOI: 10.1186/s13195-024-01392-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/15/2024] [Indexed: 01/29/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is one of the most burdening diseases of the century with no disease-modifying treatment at this time. Nonhuman primates (NHPs) share genetic, anatomical, and physiological similarities with humans, making them ideal model animals for investigating the pathogenesis of AD and potential therapies. However, the use of NHPs in AD research has been hindered by the paucity of AD monkey models due to their long generation time, ethical considerations, and technical challenges in genetically modifying monkeys. METHODS Here, we developed an AD-like NHP model by overexpressing human tau in the bilateral hippocampi of adult rhesus macaque monkeys. We evaluated the pathological features of these monkeys with immunostaining, Nissl staining, cerebrospinal fluid (CSF) analysis, magnetic resonance imaging (MRI), positron emission tomography (PET), and behavioural tests. RESULTS We demonstrated that after hippocampal overexpression of tau protein, these monkeys displayed multiple pathological features of AD, including 3-repeat (3R)/4-repeat (4R) tau accumulation, tau hyperphosphorylation, tau propagation, neuronal loss, hippocampal atrophy, neuroinflammation, Aβ clearance deficits, blood vessel damage, and cognitive decline. More interestingly, the accumulation of both 3R and 4R tau is specific to NHPs but not found in adult rodents. CONCLUSIONS This work establishes a tau-induced AD-like NHP model with many key pathological and behavioural features of AD. In addition, our model may potentially become one of the AD NHP models adopted by researchers worldwide since it can be generated within 2 ~ 3 months through a single injection of AAVs into the monkey brains. Hence, our model NHPs may facilitate mechanistic studies and therapeutic treatments for AD.
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Affiliation(s)
- Zhouquan Jiang
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Jing Wang
- Department of Neurosurgery, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Yongpeng Qin
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Shanggong Liu
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Bin Luo
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Fan Bai
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Huiyi Wei
- Department of Nuclear Medicine and PET/CT-MRI Centre, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Shaojuan Zhang
- Department of Nuclear Medicine and PET/CT-MRI Centre, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Junjie Wei
- Department of Nuclear Medicine and PET/CT-MRI Centre, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Guoyu Ding
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Long Ma
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Shu He
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Rongjie Chen
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Ying Sun
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Yi Chen
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Lu Wang
- Department of Nuclear Medicine and PET/CT-MRI Centre, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Hao Xu
- Department of Nuclear Medicine and PET/CT-MRI Centre, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Xiangyu Wang
- Department of Neurosurgery, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Gong Chen
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China.
| | - Wenliang Lei
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, 510630, Guangdong, China.
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Jiang B, Qiu M, Qin L, Tang J, Zhan S, Lin Q, Wei J, Liu Y, Zhou Z, Liang X, Cao J, Lian J, Mai Y, Jiang Y, Yu H. Associations between genetic variants in sphingolipid metabolism pathway genes and hepatitis B virus-related hepatocellular carcinoma survival. Front Oncol 2024; 13:1252158. [PMID: 38260847 PMCID: PMC10801735 DOI: 10.3389/fonc.2023.1252158] [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: 07/31/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Background Although the sphingolipid metabolism pathway is known to play a significant role in tumor progression, there have been few studies on how genetic variants in the sphingolipid metabolism pathway genes affect the survival of patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Methods We utilized available genotyping data to conduct multivariate Cox proportional hazards regression model analysis, examining the associations of 12,188 single nucleotide polymorphisms (SNPs) in 86 sphingolipid metabolism pathway genes on the survival of 866 HBV-HCC patients, and the model was also used in additive interaction analysis. We used bioinformatics functional prediction and expression quantitative trait locus (eQTL) analysis to explore the potential functions of SNPs and to evaluate the association of SNPs with the corresponding mRNA expression, respectively. We also used the online database TIMER2.0 (http://timer.comp-genomics.org/) to analyze the relationship between the corresponding mRNA expression levels and immune cell infiltration. Results Our study found that GBA2 rs1570247 G>A was significantly associated with elevated survival of HBV-HCC patients [(hazards ratio (HR)=0.74, 95% confidence interval (CI)=0.64-0.86, P<0.001)]. And on an additive scale, a synergistic effect was observed between the GG genotype of rs1570247 and advanced BCLC stage. Among HBV-HCC patients with advanced BCLC stage, those carrying the GBA2 rs1570247 GG genotype exhibited a significantly elevated risk of mortality (HR=3.32, 95%CI=2.45-4.50). Further functional prediction and eQTL analysis revealed that rs1570247 were located in the 5' untranslated region of the GBA2, the A allele of SNP rs1570247 was associated with higher mRNA expression levels of GBA2 in normal liver tissues (P=0.009). Moreover, we observed a positive correlation between GBA2 mRNA expression and the infiltration level of B lymphocytes cell (R=0.331, P<0.001), while a negative correlation was noted between GBA2 mRNA expression and the infiltration level of macrophage M2 in HCC (R=-0.383, P<0.001). Conclusion Our findings suggest that GBA2 rs1570247 G>A in sphingolipid metabolism pathway may be a key factor for survival of HBV-HCC patients by regulating the expression of corresponding genes and affecting the infiltration level of immune cells.
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Affiliation(s)
- Binbin Jiang
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Liming Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jingmei Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Junjie Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Jiawei Lian
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yuejiao Mai
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yanji Jiang
- Department of Scientific Research Dept, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China
- Guangxi Health Commission, Key Cultivated Laboratory of Cancer Molecular Medicine, Guangxi Medical University Cancer Hospital, Nanning, China
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Liu T, Hou K, Li J, Han T, Liu S, Wei J. Alzheimer's Disease and Aging Association: Identification and Validation of Related Genes. J Prev Alzheimers Dis 2024; 11:196-213. [PMID: 38230733 DOI: 10.14283/jpad.2023.101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
BACKGROUND Aging is considered a key risk factor for Alzheimer's disease (AD). This study aimed to identify and validate potential aging-related genes associated with AD using bioinformatics analysis. METHODS Datasets GSE36980 and GSE5281 were selected to screen differentially expressed genes (DEGs), and the immune cell correlation analysis and GSEA analysis of DEGs were performed. The intersection with senescence genes was taken as differentially expressed senescence-related genes (DESRGs), and the GSE44770 dataset was used for further validation. The potential biological functions and signaling pathways were determined by GO and KEGG, and the hub genes were identified by 12 algorithms in Cytohubba. The expression of 10 hub genes in different brain regions was determined and single-cell sequencing analysis was performed, and diagnostic genes were further screened by gene expression and receiver operating characteristic (ROC) curve. Finally, a miRNA-gene network of diagnostic genes was constructed and targeted drug prediction was performed. RESULTS A total of 2137 DEGs were screened from the GSE36980 and GSE5281 datasets, and 278 SRGs were identified from the CellAge database. The overlapping DEGs and SRGs constituted 29 DESRGs, including 14 senescence suppressor genes and 15 senescence inducible genes. The top 10 hub genes, including MDH1, CKB, PSMD14, SMARCA4, PEBP1, DDB2, ITPKB, ATF7IP, YAP1, and EWSR1 were screened. Furthermore, four diagnostic genes were identified: PMSD14, PEBP1, ITPKB, and ATF7IP. The ROC analysis showed that the respective area under the curves (AUCs) of PMSD14, PEBP1, ITPKB, and ATF7IP were 0.732, 0.701, 0.747, and 0.703 in the GSE36980 dataset and 0.870, 0.817, 0.902, and 0.834 in the GSE5281 dataset. In the GSE44770 dataset, PMSD14 (AUC, 0.838) and ITPKB (AUC, 0.952) had very high diagnostic values in the early stage of AD. Finally, based on these diagnostic genes, we found that the drug Abemaciclib is a targeted drug for the treatment of age-related AD. Flutamide can aggravate aging-related AD. CONCLUSION The results of this study suggest that cellular SRGs might play an important role in AD. PMSD14, PEBP1, ITPKB, and ATF7IP have the potential as specific biomarkers for the early diagnosis of AD.
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Affiliation(s)
- T Liu
- Professor Jianshe Wei, M.D., Ph.D., Institute for Brain Sciences Research, School of Life Sciences, Henan University, Kaifeng 475004, China
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Li H, Li L, Wei J, Chen T, Wei P. Salt-Adaptively Conductive Ionogel Sensor for Marine Sensing. Small 2024; 20:e2305848. [PMID: 37670215 DOI: 10.1002/smll.202305848] [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: 07/30/2023] [Revised: 08/22/2023] [Indexed: 09/07/2023]
Abstract
Hydrophobic ionogel has attracted much attention in underwater sensing as the artificial electronic skins and wearable sensors. However, when the low conductive ionogel-based sensor works in the marine environment, the salty seawater weakens its sensing performance, which is difficult to recognize. Herein, a salt-adaptively conductive ionogel with high submarine strain sensitivity is reported. Based on the preliminary improvement via the proton conduction mechanism, the conductivity of the ionogel further increases with the surrounding salinity rising up since the salt-induced dissociation phenomenon, which is described as the environmental salt-adaptive feature. In seawater, the conductivity of the ionogel is as high as 2.90 × 10-1 S m-1 . Significantly, with its long-term underwater stability and adhesion, the resultant ionogel-based sensor features prominent strain sensing performance (gauge factor: 1.12) while combining with various soft actuators in the marine environment. The ionogel-based sensor is capable of monitoring human breath frequency, human actions, and the locomotion of soft actuators, demonstrating its great potential in diving detection and intelligent preceptive soft robotics for marine environmental protection and exploration.
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Affiliation(s)
- Huijing Li
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
| | - Long Li
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
| | - Junjie Wei
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
| | - Tao Chen
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
| | - Peng Wei
- Department of Plastic and Reconstructive Surgery, Ningbo First Hospital, Ningbo, 315010, China
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12
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Zhan S, Qiu M, Wei X, Wei J, Qin L, Jiang B, Wen Q, Chen P, Lin Q, Wei X, Zhou Z, Jiang Y, Liang X, Li R, Liu Y, Yu H. Potentially functional genetic variants in ferroptosis-related CREB3 and GALNT14 genes predict survival of hepatitis B virus-related hepatocellular carcinoma. Cancer Med 2023; 13:e6848. [PMID: 38151984 PMCID: PMC10807646 DOI: 10.1002/cam4.6848] [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: 09/09/2023] [Revised: 11/19/2023] [Accepted: 11/27/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND Ferroptosis is a known crucial player in the development of cancers. However, the effect of single nucleotide polymorphisms (SNPs) in ferroptosis-related genes on survival in hepatitis B virus (HBV)-related hepatocellular carcinoma (HBV-HCC) patients remains unknown. METHODS We used two-stage multivariable Cox proportional hazards regression analyses to estimate the associations between 48,774 SNPs in 480 ferroptosis-related genes and overall survival (OS) of 866 HBV-HCC patients. RESULTS We identified that two potentially functional SNPs (CREB3 rs10814274 C > T and GALNT14 rs17010547 T > C) were significantly independently associated with the OS of HBV-HCC patients (CT + TT verse CC, hazards ratio (HR) = 0.77, 95% confidence interval (CI) = 0.67-0.89, p < 0.001 for rs10814274 and TC + CC verse TT, HR = 0.66, 95% CI = 0.53-0.82, p < 0.001 for rs17010547, respectively). Additional joint assessment of protective genotypes of these two SNPs showed that patients with 1-2 protective genotypes had a significantly better OS compared with those carrying 0 protective genotypes (HR = 0.56, 95% CI = 0.45-0.70, p < 0.001). Moreover, the expression quantitative trait loci (eQTL) analysis revealed that the survival-associated SNP rs10814274 T allele was significantly correlated with reduced CREB3 transcript levels in both normal liver tissues and whole blood cells, while the GALNT14 rs17010547 C allele had a significant correlation with increased GALNT14 transcript levels in whole blood cells. CONCLUSION These results suggest that genetic variants of CREB3 and GALNT14 may affect the survival of HBV-HCC patients, likely via transcriptional regulation of respective genes. However, further studies are required to confirm these findings.
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Affiliation(s)
- Shicheng Zhan
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Moqin Qiu
- Department of Respiratory OncologyGuangxi Medical University Cancer HospitalNanningChina
| | - Xueyan Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Junjie Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Liming Qin
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Binbin Jiang
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuping Wen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Peiqin Chen
- Editorial Department of Chinese Journal of Oncology Prevention and TreatmentGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuling Lin
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Xiaoxia Wei
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Zihan Zhou
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Yanji Jiang
- Scientific Research DepartmentGuangxi Medical University Cancer HospitalNanningChina
| | - Xiumei Liang
- Department of Disease Process ManagementGuangxi Medical University Cancer HospitalNanningChina
| | - Runwei Li
- Department of Civil Engineering, College of EngineeringNew Mexico State UniversityLas CrucesNew MexicoUSA
| | - Yingchun Liu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
| | - Hongping Yu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University)Ministry of EducationNanningChina
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Wang JY, Xiao WH, Zhang LY, Zhang C, Wei J, Yang JJ, Zhou B, Zhao L, Zhang XL, Xu LY, Hong SD, Dong XS, Liu GL. [Application value of questionnaires in the screening obstructive sleep apnea syndrome in pregnancy across trimesters]. Zhonghua Yi Xue Za Zhi 2023; 103:3932-3937. [PMID: 38129170 DOI: 10.3760/cma.j.cn112137-20230726-00096] [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: 12/23/2023]
Abstract
Objective: To evaluate the clinical utility value of questionnaires of Berlin, STOP, STOP-Bang (SBQ), Epworth Sleepiness Scale (ESS) in screening obstructive sleep apnea syndrome (OSAS) in pregnant women of different trimesters. Methods: Consecutive pregnant women at high risk for OSAS were enrolled from January, 2021 to April, 2022 at the obstetric clinic of Peking University People's Hospital. They completed questionnaires of Berlin, STOP, SBQ, ESS and also underwent an overnight polysomnography (PSG). To evaluate the accuracy of questionnaires of Berlin, STOP, SBQ, ESS, sensitivity, specificity, positive predictive values, negative predictive values and the area under the receiver operating characteristics (ROC) curve of these questionnaires in pregnancy across trimesters (Pregnancy 1-15 weeks was the first stage, pregnancy 16-27 weeks was the second stage, and pregnancy 28-40 weeks was the third stage) were calculated. Results: A total of 100 pregnant women [(34.5±4.3) years old (26-46 years old)] were included in this study, including 20, 35 and 45 pregnant women in the first, second and third trimester of pregnancy, respectively. Based on PSG results, 45 (45%) of 100 pregnant women were diagnosed with OSAS. The overall predictive values of the four questionnaires were not good, area under[AUC(95%CI)] the ROC curve ESS, Berlin questionnaire STOP and SBQ were 0.54(0.43, 0.66), 0.59 (0.47, 0.70), 0.62(0.51, 0.73) and 0.61 (0.49, 0.72), respectively, sensitivity was 35.6%, 65.9%, 48.9%, 28.9%, specificity was 71.7%, 52.5%, 73.6%, 92.5%. When categorized according to trimesters, the predicted values of the four questionnaires increased in the first trimester, the AUC (95%CI) of STOP questionnaire was 0.81 (0.61, 1.00), sensitivity was 75.0%, specificity was 87.5%. Conclusion: The overall predictive power of the four screening questionnaires is limited in pregnant women. But predictive value of STOP questionnaire is acceptable in the first trimester.
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Affiliation(s)
- J Y Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - W H Xiao
- Department of Respiratory Medicine and Intensive Care Unit, Binzhou Medical University Hospital, Binzhou 256603, China
| | - L Y Zhang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - C Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - J Wei
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J J Yang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - B Zhou
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - L Zhao
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - X L Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - L Y Xu
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - S D Hong
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - X S Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - G L Liu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
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Li H, Zhen Z, Wei J, Fan X, Cao P, Zhang Y, Chen Y, Li Y, Zhu Y, Wang R, Ma X. Endogenous hsa-circ_0007113 binds hsa-miR-515-5p to regulate senescence in human embryonic lung fibroblasts. ADV CLIN EXP MED 2023; 33:0-0. [PMID: 38141006 DOI: 10.17219/acem/174494] [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: 07/09/2023] [Revised: 10/07/2023] [Accepted: 10/25/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Cellular senescence can lead to many diseases. However, the roles and regulation of circular RNAs (circRNAs) in senescence are poorly understood. OBJECTIVES To investigate the altered expression pattern and mechanism of circRNA during cellular senescence and find potential targets to prevent senescence. MATERIAL AND METHODS The Arraystar Human circRNA Array and bioinformatics were used to profile the differentially expressed circRNAs in human embryonic lung fibroblasts (IMR-90) between young cells and senescent cells and quantification in the clinical materials. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. The miRNA targets were predicted using TargetScan and miRanda. RESULTS A total of 113 differentially expressed circRNAs were identified, including 109 upregulated and 4 downregulated circRNAs (fold change >2 and p-value <0.05). Real-time qualitative polymerase chain reaction (qPCR) showed that the expression levels of 4 circRNA were significantly increased in senescent cells, and that of hsa_circ_0007113 was significantly decreased, consistent with the microarray. siRNA against hsa_circ_0007113 increased p21 and p53 expression levels and β-gal staining. The hsa_circ_0007113 has a binding site for miR-515-5p, which is involved in regulating the p53/p21 signaling pathway. The expression level of hsa_circ_0007113 was also decreased in aged people. CONCLUSIONS The study showed an altered circRNA expression pattern in cellular senescence, which might play important roles in senescence-related physiological processes. These findings provide a new direction for studying the molecular mechanism underlying senescence and a new possibility for the treatment of senescence by modulating circRNAs.
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Affiliation(s)
- Hualing Li
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
- Department of Pathology, Jiangsu Key Laboratory of Human Zoonosis, Yangzhou University, China
| | - Zhiyi Zhen
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Junjie Wei
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Xianxian Fan
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Pengfei Cao
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Yitang Zhang
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Yali Chen
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Yue Li
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Yifan Zhu
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Rui Wang
- Department of Biochemistry, Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Institute of Translational Medicine, Medical College, Yangzhou University, China
| | - Xingjie Ma
- Department of Intensive Care, The Affiliated Hospital of Yangzhou University, China
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Fang K, Wan Y, Wei J, Chen T. Hydrogel-Based Sensors for Human-Machine Interaction. Langmuir 2023; 39:16975-16985. [PMID: 37994525 DOI: 10.1021/acs.langmuir.3c02444] [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: 11/24/2023]
Abstract
In the past decades, remarkable progress has been made in the field of human-machine interaction. The need for accurate sensing devices with satisfactory user experiences has propelled the development of flexible, stretchable, biocompatible, and imperceptible hydrogel-based interfaces. These innovative interfaces facilitate direct interactions between humans and machines while receiving detected input signals from sensors and giving output commands to controllers, thus motivating accurate real-time responsiveness. This Perspective discusses the sensing mechanisms for the two categories of hydrogel-based sensors and summarizes the recent progress in the development of different representations of human-machine interactions, including intelligent identification, information secrecy, interactive control, and virtual reality and augmented reality technologies. The advantages of hydrogel-based systems over conventionally used rigid electrical components are explicitly discussed. The conclusion provides a perspective on current challenges and outlines a future roadmap for the realization of state-of-the-art hydrogel-based smart systems.
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Affiliation(s)
- Kecheng Fang
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Yan Wan
- Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Junjie Wei
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Tao Chen
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China
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16
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Chen J, Ran W, Huang Y, Wei J, Rong J, Wei H, Li Y, Li G, Chen Z, Collier L, Elghazawy NH, Sippl W, Haider A, Liao K, Dong C, Li Y, Xu H, He W, Wang L, Liang SH. Evaluation of thiadiazine-based PET radioligands for imaging the AMPA receptor. Biomed Pharmacother 2023; 168:115842. [PMID: 37925936 DOI: 10.1016/j.biopha.2023.115842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/24/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023] Open
Abstract
As a subclass of ionotropic glutamate receptors (iGluRs), α-amino-3-hydroxyl-5-methyl-4-isoxazolepropionic acid (AMPA) receptors have been implicated in various neurological disorders and neurodegenerative diseases. To further our understanding of AMPA receptor-related disorders in the central nervous system (CNS), it is important to be able to image and quantify AMPA receptors in vivo. In this study, we identified a novel F-containing AMPA positive allosteric modulator (PAM) 6 as a potential lead compound. Molecular docking studies and CNS PET multi-parameter optimization (MPO) analysis were used to predict the absorption, distribution, metabolism, and excretion (ADME) characteristics of 6 as a PET probe. The resulting PET probe, [18F]6 (codename [18F]AMPA-2109), was successfully radiolabeled and demonstrated excellent blood-brain barrier (BBB) permeability and high brain uptake in rodents and non-human primates. However, [18F]6 did not show substantial specific binding in the rodent or non-human primate brain. Further medicinal chemistry efforts are necessary to improve specific binding, and our work may serve as a starting point for the design of novel 18F-labeled AMPA receptor-targeted PET radioligands aimed for clinical translation.
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Affiliation(s)
- Jiahui Chen
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA
| | - Wenqing Ran
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yiman Huang
- Medical Center of Stomatology, The First Affiliated Hospital of Jinan University, Jinan University School of Stomatology, Guangzhou 510630, China
| | - Junjie Wei
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Key Laboratory of Basic and Translational Research on Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jian Rong
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA
| | - Huiyi Wei
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yinlong Li
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA
| | - Guocong Li
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Key Laboratory of Basic and Translational Research on Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhen Chen
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA
| | - Lee Collier
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA
| | - Nehal H Elghazawy
- Institute of Pharmacy, Department of Medicinal Chemistry, Martin-Luther-University Halle-Wittenberg, W.-Langenbeck-Str. 4, 06120 Halle, Germany
| | - Wolfgang Sippl
- Institute of Pharmacy, Department of Medicinal Chemistry, Martin-Luther-University Halle-Wittenberg, W.-Langenbeck-Str. 4, 06120 Halle, Germany
| | - Ahmed Haider
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA
| | - Kai Liao
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Chenchen Dong
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ying Li
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Hao Xu
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Key Laboratory of Basic and Translational Research on Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Wenpeng He
- Medical Center of Stomatology, The First Affiliated Hospital of Jinan University, Jinan University School of Stomatology, Guangzhou 510630, China.
| | - Lu Wang
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Key Laboratory of Basic and Translational Research on Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Steven H Liang
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA 02114, USA.
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17
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Wu X, Zhai F, Chang A, Wei J, Guo Y, Zhang J. Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus. J Endocrinol Invest 2023; 46:2535-2546. [PMID: 37171784 DOI: 10.1007/s40618-023-02109-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
PURPOSE The screening and diagnosis of osteoporosis in patients with type 2 diabetes mellitus (T2DM) based on bone mineral density remains challenging because of the limited availability and accessibility of dual-energy X-ray absorptiometry. We aimed to develop and validate models to predict the risk of osteoporosis in postmenopausal women with T2DM based on machine learning (ML) algorithms. METHODS This retrospective study included 303 postmenopausal women with T2DM. To develop prediction models for osteoporosis, we applied nine ML algorithms combined with demographic, clinical, and laboratory data. The least absolute shrinkage and selection operator were used to perform feature selection. We used the bootstrap resampling technique for model training and validation. To test the performance of the models, we calculated indices including the area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, calibration curve, and decision curve analysis. Furthermore, we conducted fivefold cross-validation for parameter optimization and model validation. Feature importance was assessed using the SHapley additive explanation (SHAP). RESULTS We identified 10 independent predictors as the most valuable features. An AUROC of 0.616-1.000 was observed for nine ML algorithms. The extreme gradient boosting (XGBoost) model exhibited the best performance, outperforming conventional risk assessment tools and registering 0.993 in the training set, 0.798 in the validation set, and 0.786 in the test set for fivefold cross-validation. Using SHAP, we found that the explanatory variables contributed to the model and their relationship with osteoporosis occurrence. Furthermore, we developed a user-friendly tool for calculating the risk of osteoporosis. CONCLUSIONS With the integration of demographic and clinical risk factors, ML algorithms can accurately predict osteoporosis. The XGBoost model showed ideal performance. With the incorporation of these models in the clinic, patients may benefit from early osteoporosis diagnosis and treatment.
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Affiliation(s)
- X Wu
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China.
| | - F Zhai
- Gynecological Clinic, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - A Chang
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - J Wei
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - Y Guo
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - J Zhang
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
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18
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Shiraiwa M, Fang T, Wei J, Lakey P, Hwang B, Edwards KC, Kapur S, Mena J, Huang YK, Digman MA, Weichenthal SA, Nizkorodov S, Kleinman MT. Chemical and Cellular Formation of Reactive Oxygen Species from Secondary Organic Aerosols in Epithelial Lining Fluid. Res Rep Health Eff Inst 2023:1-56. [PMID: 38420854] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
INTRODUCTION Oxidative stress mediated by reactive oxygen species (ROS) is a key process for adverse aerosol health effects. Secondary organic aerosols (SOA) account for a major fraction of particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5). PM2.5 inhalation and deposition into the respiratory tract causes the formation of ROS by chemical reactions and phagocytosis of macrophages in the epithelial lining fluid (ELF), but their relative contributions are not well quantified and their link to oxidative stress remains uncertain. The specific aims of this project were (1) elucidating the chemical mechanism and quantifying the formation kinetics of ROS in the ELF by SOA; (2) quantifying the relative importance of ROS formation by chemical reactions and macrophages in the ELF. METHODS SOA particles were generated using reaction chambers from oxidation of various precursors including isoprene, terpenes, and aromatic compounds with or without nitrogen oxides (NOx). We collected size-segregated PM at two highway sites in Anaheim, CA, and Long Beach, CA, and at an urban site in Irvine, CA, during two wildfire events. The collected particles were extracted into water or surrogate ELF that contained lung antioxidants. ROS generation was quantified using electron paramagnetic resonance (EPR) spectroscopy with a spin-trapping technique. PM oxidative potential (OP) was also quantified using the dithiothreitol assay. In addition, kinetic modeling was applied for analysis and interpretation of experimental data. Finally, we quantified cellular superoxide release by RAW264.7 macrophage cells upon exposure to quinones and isoprene SOA using a chemiluminescence assay as calibrated with an EPR spin-probing technique. We also applied cellular imaging techniques to study the cellular mechanism of superoxide release and oxidative damage on cell membranes. RESULTS Superoxide radicals (·O2-) were formed from aqueous reactions of biogenic SOA generated by hydroxy radical (·OH) photooxidation of isoprene, β-pinene, α-terpineol, and d-limonene. The temporal evolution of ·OH and ·O2- formation was elucidated by kinetic modeling with a cascade of aqueous reactions, including the decomposition of organic hydroperoxides (ROOH), ·OH oxidation of primary or secondary alcohols, and unimolecular decomposition of α-hydroxyperoxyl radicals. Relative yields of various types of ROS reflected the relative abundance of ROOH and alcohols contained in SOA, which generated under high NOx conditions, exhibited lower ROS yields. ROS formation by SOA was also affected by pH. Isoprene SOA had higher ·OH and organic radical yields at neutral than at acidic pH. At low pH ·O2- was the dominant species generated by all types of SOA. At neutral pH, α-terpineol SOA exhibited a substantial yield of carbon-centered organic radicals (R·), while no radical formation was observed by aromatic SOA. Organic radicals in the ELF were formed by mixtures of Fe2+ and SOA generated from photooxidation of isoprene, α-terpineol, and toluene. The molar yields of organic radicals by SOA were 5-10 times higher in ELF than in water. Fe2+ enhanced organic radical yields by a factor of 20-80. Ascorbate mediated redox cycling of iron ions and sustained organic peroxide decomposition, as supported by kinetic modeling reproducing time- and concentration-dependence of organic radical formation, as well as by additional experiments observing the formation of Fe2+ and ascorbate radicals in mixtures of ascorbate and Fe3+. ·OH and superoxide were found to be efficiently scavenged by antioxidants. Wildfire PM mainly generated ·OH and R· with minor contributions from superoxide and oxygen-centered organic radicals (RO·). PM OP was high in wildfire PM, exhibiting very weak correlation with radical forms of ROS. These results were in stark contrast with PM collected at highway and urban sites, which generated much higher amounts of radicals dominated by ·OH radicals that correlated well with OP. By combining field measurements of size-segregated chemical composition, a human respiratory tract model, and kinetic modeling, we quantified production rates and concentrations of different types of ROS in different regions of the ELF by considering particle-size-dependent respiratory deposition. While hydrogen peroxide (H2O2) and ·O2- production were governed by Fe and Cu ions, ·OH radicals were mainly generated by organic compounds and Fenton-like reactions of metal ions. We obtained mixed results for correlations between PM OP and ROS formation, providing rationale and limitations of the use of oxidative potential as an indicator for PM toxicity in epidemiological and toxicological studies. Quinones and isoprene SOA activated nicotinamide adenine dinucleotide phosphate (NADPH) oxidase in macrophages, releasing massive amounts of superoxide via respiratory burst and overwhelming the superoxide formation by aqueous chemical reactions in the ELF. The threshold dose for macrophage activation was much smaller for quinones compared with isoprene SOA. The released ROS caused lipid peroxidation to increase cell membrane fluidity, inducing oxidative damage and stress. Further increases of doses led to the activation of antioxidant response elements, reducing the net cellular superoxide production. At very high doses and long exposure times, chemical production became comparably important or dominant if the escalation of oxidative stress led to cell death. CONCLUSIONS The mechanistic understandings and quantitative information on ROS generation by SOA particles provided a basis for further elucidation of adverse aerosol health effects and oxidative stress by PM2.5. For a comprehensive assessment of PM toxicity and health effects via oxidative stress, it is important to consider both chemical reactions and cellular processes for the formation of ROS in the ELF. Chemical composition of PM strongly influences ROS formation; further investigations are required to study ROS formation from various PM sources. Such research will provide critical information to environmental agencies and policymakers for the development of air quality policy and regulation.
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Affiliation(s)
- M Shiraiwa
- Department of Chemistry, University of California, Irvine, CA, USA
| | - T Fang
- Department of Chemistry, University of California, Irvine, CA, USA
| | - J Wei
- Department of Chemistry, University of California, Irvine, CA, USA
| | - Psj Lakey
- Department of Chemistry, University of California, Irvine, CA, USA
| | - Bch Hwang
- Department of Chemistry, University of California, Irvine, CA, USA
| | - K C Edwards
- Department of Chemistry, University of California, Irvine, CA, USA
| | - S Kapur
- Department of Chemistry, University of California, Irvine, CA, USA
| | - Jem Mena
- Division of Occupational and Environmental Medicine, University of California, Irvine, CA, USA
| | - Y-K Huang
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - M A Digman
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - S A Weichenthal
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - S Nizkorodov
- Department of Chemistry, University of California, Irvine, CA, USA
| | - M T Kleinman
- Division of Occupational and Environmental Medicine, University of California, Irvine, CA, USA
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19
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Gong R, Qiu M, Cao J, Zhou Z, Wei Y, Wen Q, Lin Q, Wei X, Liang X, Jiang Y, Chen P, Wei J, Zhan S, Liu Y, Yu H. Potentially Functional Genetic Variants in the NRF2 Signaling Pathway Genes are Associated With HBV-related Hepatocellular Carcinoma Survival. J Cancer 2023; 14:3387-3396. [PMID: 38021150 PMCID: PMC10647191 DOI: 10.7150/jca.88561] [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: 07/27/2023] [Accepted: 09/17/2023] [Indexed: 12/01/2023] Open
Abstract
The nuclear factor E2-related factor 2 (NRF2) signaling pathway is one of the most important cell defense pathways. However, it is unclear whether genetic variants in NRF2 signaling pathway genes are associated with the survival of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). In the present study, we utilized a new hypothesis-driven approach based on biological pathways to investigate the associations between 17919 single nucleotide polymorphisms (SNPs) in 137 NRF2 signaling pathway genes and the overall survival (OS) of 866 patients with HBV-related HCC. As a result, two independent SNPs with potential biological function were identified to be significantly associated with HBV-related HCC OS: [SLC2A9 rs28643326 T>C: hazard ratio (HR) = 0.74, 95% confidence interval (95% CI) = 0.62-0.89, P < 0.001 and SLC5A10 rs2472711 G>T: HR = 0.81, 95% CI = 0.71-0.93, P = 0.003, respectively]. The expression quantitative trait loci (eQTL) analysis further revealed that the rs28643326 C allele was significantly associated with increased levels of SLC2A9 mRNA expression (P < 0.001), and higher mRNA expression levels of SLC2A9 in adjacent normal liver tissues were associated with better survival. Although the association between the rs2472711 T allele and the mRNA expression of SLC5A10 was not statistically significant (P = 0.200), the fact that rs2472711 is located at the DNase I hypersensitivity site and is a marker for promoter and enhancer histones also suggests that it may have the function of regulating its corresponding gene expression. In conclusion, genetic variants of NRF2 signaling pathway genes may serve as potential prognostic biomarkers for HBV-related HCC and also provide a solid basis for further mechanistic exploration.
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Affiliation(s)
- Rongbin Gong
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530000, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Yuying Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Xiaoxia Wei
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Yanji Jiang
- Department of Scientific Research Dept, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Peiqin Chen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Junjie Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530000, China
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530000, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530000, China
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530000, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530000, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530000, China
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20
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Aguilar M, Ambrosi G, Anderson H, Arruda L, Attig N, Bagwell C, Barao F, Barbanera M, Barrin L, Bartoloni A, Battiston R, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borchiellini M, Borgia B, Boschini MJ, Bourquin M, Burger J, Burger WJ, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen H, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, D'Angelo F, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Huang BW, Ionica M, Incagli M, Jia Y, Jinchi H, Karagöz G, Khan S, Khiali B, Kirn T, Klipfel AP, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li M, Li Q, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo SD, Luo X, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Molero M, Mott P, Mussolin L, Jozani YN, Negrete J, Nicolaidis R, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Ottupara MA, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rodríguez-García I, Romaneehsen L, Rossi F, Rozhkov A, Rozza D, Sagdeev R, Savin E, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Silvestre G, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Tian Y, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Wu Y, Xiao JN, Xiong RQ, Xiong XZ, Xu W, Yan Q, Yang HT, Yang Y, Yelland A, Yi H, You YH, Yu YM, Yu ZQ, Zhang C, Zhang F, Zhang FZ, Zhang J, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Temporal Structures in Positron Spectra and Charge-Sign Effects in Galactic Cosmic Rays. Phys Rev Lett 2023; 131:151002. [PMID: 37897756 DOI: 10.1103/physrevlett.131.151002] [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: 07/23/2023] [Revised: 08/26/2023] [Accepted: 09/01/2023] [Indexed: 10/30/2023]
Abstract
We present the precision measurements of 11 years of daily cosmic positron fluxes in the rigidity range from 1.00 to 41.9 GV based on 3.4×10^{6} positrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The positron fluxes show distinctly different time variations from the electron fluxes at short and long timescales. A hysteresis between the electron fluxes and the positron fluxes is observed with a significance greater than 5σ at rigidities below 8.5 GV. On the contrary, the positron fluxes and the proton fluxes show similar time variation. Remarkably, we found that positron fluxes are modulated more than proton fluxes with a significance greater than 5σ for rigidities below 7 GV. These continuous daily positron fluxes, together with AMS daily electron, proton, and helium fluxes over an 11-year solar cycle, provide unique input to the understanding of both the charge-sign and mass dependencies of cosmic rays in the heliosphere.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - H Anderson
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Barbanera
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Borchiellini
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Chen
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
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| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
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| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
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| | - C Corti
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| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
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| | - K Dadzie
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| | - F D'Angelo
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| | - A Dass
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| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
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| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
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| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
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| | - A Eline
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| | - F Faldi
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| | - J Feng
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| | - E Fiandrini
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| | - P Fisher
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| | - V Formato
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| | - C Gámez
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| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
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| | - H Gast
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| | - M Gervasi
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| | - D M Gómez-Coral
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| | - J Gong
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| | - C Goy
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| | - D Grandi
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| | - M Graziani
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| | | | - S Haino
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| | - K C Han
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| | - R K Hashmani
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| | - Z H He
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| | - B Heber
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| | - T H Hsieh
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| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
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| | - B W Huang
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| | - M Ionica
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| | - M Incagli
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| | - Yi Jia
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| | - H Jinchi
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| | - G Karagöz
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| | - S Khan
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| | - B Khiali
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| | - Th Kirn
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| | - A P Klipfel
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| | - O Kounina
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| | - A Kounine
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| | - V Koutsenko
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| | - D Krasnopevtsev
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| | - A Kuhlman
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| | - A Kulemzin
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| | - G La Vacca
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| | - E Laudi
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| | - G Laurenti
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| | - G LaVecchia
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| | - I Lazzizzera
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| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
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| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - M Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - S D Luo
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
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- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
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| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
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| | - A Menchaca-Rocha
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| | - Q Meng
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| | - M Molero
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| | - P Mott
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| | - L Mussolin
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| | - Y Najafi Jozani
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| | - J Negrete
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| | - R Nicolaidis
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| | - N Nikonov
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| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
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| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M A Ottupara
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - M Palermo
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| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
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| | - M Paniccia
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| | - A Pashnin
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| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
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| | - S Pensotti
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| | - V Plyaskin
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| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
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| | - D Rapin
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| | | | - E Robyn
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| | - L Romaneehsen
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| | - F Rossi
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| | - A Rozhkov
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| | - D Rozza
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| | - E Savin
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| | - S Schael
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| | | | - G Schwering
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| | - E S Seo
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| | - B S Shan
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| | - G Silvestre
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| | - Q Sun
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- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
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| | - M Tacconi
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| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Y Tian
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Samuel C C Ting
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| | - S M Ting
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| | - N Tomassetti
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| | - J Torsti
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| | - V Vagelli
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| | - R Vainio
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| | - M Valencia-Otero
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| | - E Valente
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| | - E Valtonen
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| | - M Vecchi
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| | - M Velasco
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| | - J P Vialle
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| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
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| | - L Q Wang
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| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
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| | - J Wei
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| | - Q Yan
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| | - H T Yang
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| | - Y Yang
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| | - H Yi
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| | - Y H You
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| | - Y M Yu
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| | - Z Q Yu
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| | - C Zhang
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| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
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| | - J Zhang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
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| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
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| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
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| | - V Zhukov
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| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
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| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
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Zhao Y, Wei J, Ge S, Zhang G, Ding C. Expression of concern: SO 2F 2-Mediated one-pot cascade process for transformation of aldehydes (RCHO) to cyanamides (RNHCN). RSC Adv 2023; 13:29801. [PMID: 37829711 PMCID: PMC10565735 DOI: 10.1039/d3ra90099a] [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: 10/05/2023] [Accepted: 10/05/2023] [Indexed: 10/14/2023] Open
Abstract
Expression of concern for 'SO2F2-Mediated one-pot cascade process for transformation of aldehydes (RCHO) to cyanamides (RNHCN)' by Yiyong Zhao et al., RSC Adv., 2020, 10, 17288-17292, DOI: https://doi.org/10.1039/D0RA02631J.
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Affiliation(s)
- Yiyong Zhao
- College of Chemical Engineering, Zhejiang University of Technology Hangzhou 310014 People's Republic of China
| | - Junjie Wei
- Zhejiang Emission Trading Center Hangzhou 310014 People's Republic of China
| | - Shuting Ge
- College of Chemical Engineering, Zhejiang University of Technology Hangzhou 310014 People's Republic of China
| | - Guofu Zhang
- College of Chemical Engineering, Zhejiang University of Technology Hangzhou 310014 People's Republic of China
| | - Chengrong Ding
- College of Chemical Engineering, Zhejiang University of Technology Hangzhou 310014 People's Republic of China
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22
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Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
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Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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23
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Wei J, Xiao P, Chen T. Water-Resistant Conductive Gels toward Underwater Wearable Sensing. Adv Mater 2023; 35:e2211758. [PMID: 36857417 DOI: 10.1002/adma.202211758] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Conductive gels are developing vigorously as superior wearable sensing materials due to their intrinsic conductivity, softness, stretchability, and biocompatibility, showing a great potential in many aspects of lives. However, compared to their wide application on land, it is significant yet rather challenging for traditional conductive gels to realize sensing application under water. The swelling of gels and the loss of conductive components in the aqueous environment, resulted from the diffusion across the interface, lead to structural instability and sensing performance decline. Fortunately, great efforts are devoted to improving the water resistance of conductive gels and employing them in the field of underwater wearable sensing in recent years, and some exciting achievements are obtained, which are of great significance for promoting the safety and efficiency of underwater activities. However, there is no review to thoroughly summarize the underwater sensing application of conductive gels. This review presents a brief overview of the representative design strategies for developing water-resistant conductive gels and their diversified applications in the underwater sensing field as wearable sensors. Finally, the ongoing challenges for further developing water-resistant conductive gels for underwater wearable sensing are also discussed along with recommendations for the future.
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Affiliation(s)
- Junjie Wei
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peng Xiao
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tao Chen
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
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24
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Bai R, Wang JY, Zhang C, Hong SD, Zhang LY, Wei J, Wang Y, Yang JJ, Dong XS, Han F, Liu GL. [Relationships between hypertensive disorders in pregnancy and obstructive sleep apnea syndrome]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:658-663. [PMID: 37724382 DOI: 10.3760/cma.j.cn112141-20230219-00074] [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] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Objective: To investigate the impact of obstructive sleep apnea syndrome (OSAS) on pregnancy outcomes, especially the relationship between OSAS and hypertensive disorders in pregnancy (HDP). Methods: A total of 228 pregnant women with high risk of OSAS who underwent sleep monitoring during pregnancy in Peking University People's Hospital from January 2021 to April 2022 were collected by reviewing their medical records for retrospective analysis. According to the diagnosis of OSAS, the pregnant women were divided into OSAS group (105 cases) and non-OSAS group (123 cases). The non-parametric Mann-Whitney U test, χ2 test or Fisher's exact test were used to compare the general data and maternal and fetal outcomes between the two groups, and the occurrence of each type of HDP was further compared. Results: (1) Compared with the non-OSAS group, the median pre-pregnancy body mass index (23.6 vs 27.6 kg/m2) and the proportion of snoring [28.9% (33/114) vs 59.2% (61/103)] in the OSAS group were higher, and the differences were both statistically significant (both P<0.001). (2) The incidence of HDP [67.6% (71/105) vs 39.0% (48/123)] and gestational diabetes mellitus [GDM; 40.0% (42/105) vs 26.8% (33/123)] of pregnant women in the OSAS group were higher than those in the non-OSAS group, and the median delivery week was shorter than that in the non-OSAS group (38.4 vs 39.0 weeks). The differences were all statistically significant (all P<0.05). Between-group differences for the delivery way, postpartum hemorrhage, the rate of intensive care unit admission, preterm birth, small for gestational age infants, neonatal asphyxia, the rate of neonatal intensive care unit admission, newborn birth weight and the proportion of umbilical artery blood pH<7.00 were not statistically significant (all P>0.05). (3) Compared with the non-OSAS group, the incidence of chronic hypertension [11.4% (14/123) vs 22.9% (24/105)] and chronic hypertension with superimposed pre-eclampsia [11.4% (14/123) vs 30.5% (32/105)] were higher in the OSAS group, and the differences were both statistically significant (both P<0.01). Conclusion: OSAS is related to HDP (especially chronic hypertension and chronic hypertension with superimposed pre-eclampsia) and GDM, which could provide a practical basis for the screening, diagnosis and treatment of OSAS in pregnant women at high risk.
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Affiliation(s)
- R Bai
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J Y Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - C Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - S D Hong
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - L Y Zhang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J Wei
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - Y Wang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J J Yang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - X S Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - F Han
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - G L Liu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
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25
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Geng ZY, Chen NX, You W, Liu K, Gu X, Wei J, Ma L, Zhang XX. [Efficacy of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:773-780. [PMID: 37599238 DOI: 10.3760/cma.j.cn115330-20221108-00670] [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: 08/22/2023]
Abstract
Objective: To analyze the treatment effects and side effects of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma invading cervical esophagus. Methods: A retrospective analysis was performed on sixty-six patients with locally advanced hypopharyngeal carcinoma invade the esophagus. These patients were treated in the Department of Otolaryngology, Head and Neck Surgery of Chinese People's Liberation Army General Hospital between January 2011 and May 2022, including sixty-five males and one female, aged 43-71 years. Treatment regimen consisted of induction chemotherapy and concurrent chemoradiothrapy and epidermal growth factor receptor (EGFR)-targeted therapy, three of these cases were treated with programmed cell death 1 (PD-1) immunotherapy. The Kaplan-Meier method was used for survival analysis. Side effects were evaluated with the established CTCAE (Common Terminology Criteria for Adverse Events) 5.0 criteria. The factors affecting prognosis were analyzed by Cox multivariate regression analysis. Results: Sixty-four (97.0%, 64/66) patients completed the radiotherapy and chemotherapy plan. The most common grade three side effects were radioactive oropharyngeal mucositis (89.1%, 57/64) and leukopenia (23.4%, 15/64). Five (7.8%, 5/64) patients showed grade three hoarseness; two patients (3.1%, 2/64) suffered from grade three swallowing dysfunction and required feeding tube and intravenous nutrition; the remaining patients(89.1%) retained good vocal and swallowing functions. The overall survival (OS) of all patients was 81.5% after one year, 54.0% after three years, and 39.9% after five years; the progression-free survival (PFS) was 78.3% after one year, 54.9% after three years, and 42.6% after five years; local control rate (LCR) was 80.9% after one year, 62.5% after three years, and 52.0% after five years. T4a patients showed better OS, PFS and LCR than T4b patients, with statistically significant differences (χ2=8.10, 8.27, and 6.64, respectively, all P<0.05). Cox multivariate regression analysis showed that lymph node metastasis was an independent factor affecting prognosis (χ2=10.21, P<0.05). Conclusion: Non-surgical comprehensive treatment can provide with another option of radical treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion, offering the patients higher rate of larynx and esophageal preservation with tolerable side effects.
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Affiliation(s)
- Z Y Geng
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - N X Chen
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - W You
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - K Liu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - X Gu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - J Wei
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - L Ma
- Department of Radiology, the First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - X X Zhang
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
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26
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Aguilar M, Ali Cavasonza L, Alpat B, Ambrosi G, Arruda L, Attig N, Bagwell C, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borchiellini M, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen H, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Huang BW, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li M, Li Q, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo SD, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Ottupara MA, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Reina Conde A, Robyn E, Romaneehsen L, Rozhkov A, Rozza D, Sagdeev R, Schael S, Schultz von Dratzig A, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Tian Y, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Wu Y, Xiao JN, Xiong RQ, Xiong XZ, Xu W, Yan Q, Yang HT, Yang Y, Yashin II, Yelland A, Yi H, You YH, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang J, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Properties of Cosmic-Ray Sulfur and Determination of the Composition of Primary Cosmic-Ray Carbon, Neon, Magnesium, and Sulfur: Ten-Year Results from the Alpha Magnetic Spectrometer. Phys Rev Lett 2023; 130:211002. [PMID: 37295095 DOI: 10.1103/physrevlett.130.211002] [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: 02/09/2023] [Revised: 03/28/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
We report the properties of primary cosmic-ray sulfur (S) in the rigidity range 2.15 GV to 3.0 TV based on 0.38×10^{6} sulfur nuclei collected by the Alpha Magnetic Spectrometer experiment (AMS). We observed that above 90 GV the rigidity dependence of the S flux is identical to the rigidity dependence of Ne-Mg-Si fluxes, which is different from the rigidity dependence of the He-C-O-Fe fluxes. We found that, similar to N, Na, and Al cosmic rays, over the entire rigidity range, the traditional primary cosmic rays S, Ne, Mg, and C all have sizeable secondary components, and the S, Ne, and Mg fluxes are well described by the weighted sum of the primary silicon flux and the secondary fluorine flux, and the C flux is well described by the weighted sum of the primary oxygen flux and the secondary boron flux. The primary and secondary contributions of the traditional primary cosmic-ray fluxes of C, Ne, Mg, and S (even Z elements) are distinctly different from the primary and secondary contributions of the N, Na, and Al (odd Z elements) fluxes. The abundance ratio at the source for S/Si is 0.167±0.006, for Ne/Si is 0.833±0.025, for Mg/Si is 0.994±0.029, and for C/O is 0.836±0.025. These values are determined independent of cosmic-ray propagation.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - B Alpat
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Borchiellini
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Chen
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - B W Huang
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - M Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - S D Luo
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M A Ottupara
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - L Romaneehsen
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Y Tian
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - Y Wu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J N Xiao
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - X Z Xiong
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H T Yang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y H You
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Zhang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Wang Y, Li F, Hu Y, Sun Y, Tian C, Cao Y, Wang W, Feng W, Yan J, Wei J, Du X, Wang H. Clinical outcomes of intra-arterial chemotherapy combined with iodine-125 seed brachytherapy in the treatment of malignant superior vena cava syndrome caused by small cell lung cancer. Cancer Radiother 2023:S1278-3218(23)00068-9. [PMID: 37230904 DOI: 10.1016/j.canrad.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/29/2022] [Accepted: 01/14/2023] [Indexed: 05/27/2023]
Abstract
PURPOSE Currently there is a lack of effective treatment strategies for malignant superior vena cava syndrome (SVCS). We aim to investigate the therapeutic effect of intra-arterial chemotherapy (IAC) combined with the Single Needle Cone Puncture method for the 125I brachytherapy (SNCP-125I) in treating SVCS caused by stage III/IV Small Cell Lung Cancer (SCLC). MATERIALS AND METHODS Sixty-two patients with SCLC who developed SVCS from January 2014 to October 2020 were investigated in this study. Out of these 62 patients, 32 underwent IAC combined with SNCP-125I (Group A) and 30 patients received IAC treatment only (Group B). Clinical symptom remission, response rate, disease control rate, and overall survival of these two groups of patients were analyzed and compared. RESULTS The remission rate of symptoms including dyspnea, edema, dysphagia, pectoralgia, and cough of malignant SVCS in Group A was significantly higher than that in Group B (70.5 and 50.53%, P=0.0004, respectively). The disease control rates (DCR, PR+CR+SD) of Group A and B were 87.5 and 66.7%, respectively (P=0.049). Response rates (RR, PR+CR) of Group A and Group B were 71.9 and 40% (P=0.011). The median overall survival (OS) of Group A was significantly longer than that in Group B which was 18 months compared to 11.75 months (P=0.0360). CONCLUSIONS IAC treatment effectively treated malignant SVCS in advanced SCLC patients. IAC combined with SNCP-125I in the treatment of malignant SVCS caused by SCLC showed improved clinical outcomes including symptom remission and local tumor control rates than IAC treatment only in treating SCLC-induced malignant SVCS.
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Affiliation(s)
- Y Wang
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - F Li
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China; Core Laboratory, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China.
| | - Y Hu
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China; Shanxi Mecidal University, Graduate Research Institute, 030604 Shanxi, China
| | - Y Sun
- Department of Melanoma, University of Texas M.D. Anderson Cancer Center, Houston, TX, 77030, USA
| | - C Tian
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - Y Cao
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - W Wang
- Department of Pathology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - W Feng
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - J Yan
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - J Wei
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - X Du
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - H Wang
- Department of Oncology, Tianjin Union Medical Center, 300191 Tianjin, China; Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
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Bin H, Duan D, Wei J. Bifurcation analysis of a reaction-diffusion-advection predator-prey system with delay. Math Biosci Eng 2023; 20:12194-12210. [PMID: 37501439 DOI: 10.3934/mbe.2023543] [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] [Indexed: 07/29/2023]
Abstract
A diffusive predator-prey system with advection and time delay is considered. Choosing the conversion delay $ \tau $ as a bifurcation parameter, we find that as $ \tau $ varies, the system will generate Hopf bifurcation. Then, for the reaction diffusion model proposed in this paper, we use an improved center manifold reduction method and normal form theory to derive an algorithm for determining the direction and stability of Hopf bifurcation. Finally, we provide simulations to illustrate the effects of time delay $ \tau $ and advection $ \alpha $ on system behaviors.
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Affiliation(s)
- Honghua Bin
- Department of Mathematics, Jimei University, Jimei, Fujian 361021, China
| | - Daifeng Duan
- Department of Mathematics, Harbin Institute of Technology, Weihai, Shandong 264209, China
| | - Junjie Wei
- Department of Mathematics, Jimei University, Jimei, Fujian 361021, China
- Department of Mathematics, Harbin Institute of Technology, Weihai, Shandong 264209, China
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Aguilar M, Cavasonza LA, Ambrosi G, Arruda L, Attig N, Bagwell C, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Behlmann M, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Burmeister S, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Freeman C, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Light C, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Pohl M, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rosier-Lees S, Rozhkov A, Rozza D, Sagdeev R, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Xiong RQ, Xu W, Yan Q, Yang Y, Yashin II, Yelland A, Yi H, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Temporal Structures in Electron Spectra and Charge Sign Effects in Galactic Cosmic Rays. Phys Rev Lett 2023; 130:161001. [PMID: 37154630 DOI: 10.1103/physrevlett.130.161001] [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: 09/22/2022] [Revised: 11/21/2022] [Accepted: 02/09/2023] [Indexed: 05/10/2023]
Abstract
We present the precision measurements of 11 years of daily cosmic electron fluxes in the rigidity interval from 1.00 to 41.9 GV based on 2.0×10^{8} electrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The electron fluxes exhibit variations on multiple timescales. Recurrent electron flux variations with periods of 27 days, 13.5 days, and 9 days are observed. We find that the electron fluxes show distinctly different time variations from the proton fluxes. Remarkably, a hysteresis between the electron flux and the proton flux is observed with a significance of greater than 6σ at rigidities below 8.5 GV. Furthermore, significant structures in the electron-proton hysteresis are observed corresponding to sharp structures in both fluxes. This continuous daily electron data provide unique input to the understanding of the charge sign dependence of cosmic rays over an 11-year solar cycle.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - M Behlmann
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - S Burmeister
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Freeman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou, 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Light
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pohl
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Rosier-Lees
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Wei J, Xu C, Wang YM, Wu JF. [Clinicopathological features and the diagnostic value of SSX_CT immunohistochemistry on testicular spermatogenic tumors]. Zhonghua Bing Li Xue Za Zhi 2023; 52:390-392. [PMID: 36973201 DOI: 10.3760/cma.j.cn112151-20220807-00681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Affiliation(s)
- J Wei
- Department of Pathology, the First Affiliated Hospital of Air Force Military Medical University, Xi'an 710033, China
| | - C Xu
- Department of Knee Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - Y M Wang
- Department of Pathology, the First Affiliated Hospital of Air Force Military Medical University, Xi'an 710033, China
| | - J F Wu
- Department of Pathology, the First Affiliated Hospital of Air Force Military Medical University, Xi'an 710033, China
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Abstract
OBJECTIVE The objective of this review was to answer the global prevalence of premature ovarian insufficiency (POI), and explore the associated factors including etiopathology and regions with POI. METHODS The search was conducted on reports from a total of eight databases that comprised Chinese National Knowledge Infrastructure (CNKI), Wanfang, China BioMedical Literature Database (CBM), PubMed, the Cochrane Library, Embase, Web of Science and Ovid MEDLINE® between 1946 and 2021. To analyze the source of heterogeneity, we performed subgroup analysis based on different etiologies and regions. Meta-analysis was carried out by Stata14.0 software. RESULTS The results showed that the global overall prevalence of POI among women was 3.5%. By subgroup analysis, the prevalence of POI among women with iatrogenic etiology was 11.2%, followed by autoimmunity (10.5%); the prevalence of POI by region was 11.3% at the highest in North America followed by South America (5.4%); and the prevalence of POI was 5.3% in a developing country, higher than 3.1% in a developed country. The trend of prevalence of POI over the past 20 years was on the rise (although p > 0.05). CONCLUSION We recommend that health and medical institutions strengthen public health awareness, achieve health-education goals related to POI and increase women's awareness of and attention to POI.
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Affiliation(s)
- M Li
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
| | - Y Zhu
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, P.R. China
- Department of Scientific Research, Children's Hospital of Fudan University, Shanghai, P.R. China
| | - J Wei
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai, P.R. China
| | - L Chen
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
| | - S Chen
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
| | - D Lai
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
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Hao Y, Si J, Wei J, Gu X, Wang W, Zhang Y, Guan Y, Huang H, Xu C, Song Z. 221P Comparison of efficacy and safety of carboplatin combined with nab-paclitaxel or paclitaxel as first-line therapy for advanced thymic epithelial tumors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00474-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Hao Y, Si J, Jin J, Wei J, Xiang J, Xu C, Song Z. 220P Comparison of efficacy and safety of platinum-based chemotherapy as first-line therapy between B3 thymoma and thymic carcinoma. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00473-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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Li L, Li H, Wei J, Li R, Sun J, Zhao C, Chen T. Water-Resistant Thermoelectric Ionogel Enables Underwater Heat Harvesting. Polymers (Basel) 2023; 15:polym15071746. [PMID: 37050360 PMCID: PMC10097396 DOI: 10.3390/polym15071746] [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: 02/20/2023] [Revised: 03/17/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
The energy crisis is one of the most critical and urgent problems in modern society; thus, harvesting energy from ubiquitous low-grade heat energy with thermoelectric (TE) materials has become an available strategy in sustainable development. Recently, emerging ionic TE materials have been widely used to harvest low-grade heat energy, owing to their excellent performance in high ionic Seebeck coefficient, low thermal conductivity, and mechanical flexibility. However, the instability of ionic conductive materials in the underwater environment seriously suppresses underwater energy-harvesting, resulting in a waste of underwater low-grade heat energy. Herein, we developed a water-resistant TE ionogel (TEIG) with excellent long-term underwater stability utilizing a hydrophobic structure. Due to the hydrophobic polymer network and hydrophobic ionic liquid (IL), the TEIG exhibits high hydrophobicity and antiswelling capacity, which meets the requirement of environment stability for underwater thermoelectric application. Furthermore, the water resistance endows the TEIG with great thermoelectric performances in the underwater environment, including satisfactory ionic Seebeck coefficient, outstanding durability, and superior salt tolerance. Therefore, this investigation provides a promising strategy to design water-resistant TE materials, enabling a remarkable potential in harvesting low-grade heat energy under water.
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Affiliation(s)
- Long Li
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Huijing Li
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junjie Wei
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: (J.W.); (C.Z.); (T.C.)
| | - Rui Li
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Jiale Sun
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chuanzhuang Zhao
- School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
- Correspondence: (J.W.); (C.Z.); (T.C.)
| | - Tao Chen
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: (J.W.); (C.Z.); (T.C.)
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Zhang H, Wang H, Wei J. Perceptive movement of susceptible individuals with memory. J Math Biol 2023; 86:65. [PMID: 36995472 PMCID: PMC10061420 DOI: 10.1007/s00285-023-01904-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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 02/11/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
The perception of susceptible individuals naturally lowers the transmission probability of an infectious disease but has been often ignored. In this paper, we formulate and analyze a diffusive SIS epidemic model with memory-based perceptive movement, where the perceptive movement describes a strategy for susceptible individuals to escape from infections. We prove the global existence and boundedness of a classical solution in an n-dimensional bounded smooth domain. We show the threshold-type dynamics in terms of the basic reproduction number [Formula: see text]: when [Formula: see text], the unique disease-free equilibrium is globally asymptotically stable; when [Formula: see text], there is a unique constant endemic equilibrium, and the model is uniformly persistent. Numerical analysis exhibits that when [Formula: see text], solutions converge to the endemic equilibrium for slow memory-based movement and they converge to a stable periodic solution when memory-based movement is fast. Our results imply that the memory-based movement cannot determine the extinction or persistence of infectious disease, but it can change the persistence manner.
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Affiliation(s)
- Hua Zhang
- Department of Mathematics, Harbin Institute of Technology, Weihai, 264209, Shandong, People's Republic of China
- Interdisciplinary Lab for Mathematical Ecology and Epidemiology, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada
| | - Hao Wang
- Interdisciplinary Lab for Mathematical Ecology and Epidemiology, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
| | - Junjie Wei
- Department of Mathematics, Harbin Institute of Technology, Weihai, 264209, Shandong, People's Republic of China
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Li J, Hui Y, Xu Z, Tan J, Yin K, Kuang L, Tang Y, Wei J, Zhong Q, Zheng T. Non-canonical function of DPP4 promotes cognitive impairment through ERp29-associated mitochondrial calcium overload in diabetes. iScience 2023; 26:106271. [PMID: 36936785 PMCID: PMC10014273 DOI: 10.1016/j.isci.2023.106271] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 01/15/2023] [Accepted: 02/19/2023] [Indexed: 03/02/2023] Open
Abstract
DPP4 has been shown to induce diabetes-associated mitochondrial dysfunction and cognitive impairment through its non-canonical function. Here, we report that enhanced DPP4 expression in diabetes contributes to IP3R2-mediated mitochondria-associated ER membrane (MAM) formation, mitochondria calcium overload, and cognitive impairment, and its knockdown showed opposite effects. Mechanistically, DPP4 binds to PAR2 in hippocampal neurons and activates ERK1/2/CEBPB signaling, which upregulates ERp29 expression and promotes its binding to IP3R2, thereby inhibiting IP3R2 degradation and promoting MAM formation, mitochondria calcium overload, and cognitive impairment. Meanwhile, targeting DPP4-mediated PAR2/ERK1/2/CEBPB/ERp29 signaling achieved satisfactory therapeutic effects on MAM formation, mitochondria calcium overload, and cognitive impairment. Notably, DPP4 activates this pathway in an enzymatic activity-independent manner, suggesting the non-canonical role of DPP4 in the pathogenesis of mitochondria calcium overload and cognitive impairment in diabetes. Together, these results identify DPP4-mediated PAR2/ERK1/2/CEBPB/ERp29 signaling as a promising therapeutic target for the treatment of cognitive impairment in type 2 diabetes.
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Affiliation(s)
- Jiaxiu Li
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Ya Hui
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Zhiqiang Xu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Jie Tan
- Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Kai Yin
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Liuyu Kuang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Yunyun Tang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Junjie Wei
- Lingui Clinical Medical College, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Qiongsui Zhong
- Lingui Clinical Medical College, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
| | - Tianpeng Zheng
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, P. R. China
- Corresponding author
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Deng W, M J J van der Kleij R, Shen H, Wei J, Brakema EA, Guldemond N, Song X, Li X, van Tol MJ, Aleman A, Chavannes NH. eHealth-Based Psychosocial Interventions for Adults With Insomnia: Systematic Review and Meta-analysis of Randomized Controlled Trials. J Med Internet Res 2023; 25:e39250. [PMID: 36917145 PMCID: PMC10131777 DOI: 10.2196/39250] [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: 05/11/2022] [Revised: 09/23/2022] [Accepted: 10/07/2022] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Worldwide, insomnia remains a highly prevalent public health problem. eHealth presents a novel opportunity to deliver effective, accessible, and affordable insomnia treatments on a population-wide scale. However, there is no quantitative integration of evidence regarding the effectiveness of eHealth-based psychosocial interventions on insomnia. OBJECTIVE We aimed to evaluate the effectiveness of eHealth-based psychosocial interventions for insomnia and investigate the influence of specific study characteristics and intervention features on these effects. METHODS We searched PubMed, Embase, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials from database inception to February 16, 2021, for publications investigating eHealth-based psychosocial interventions targeting insomnia and updated the search of PubMed to December 6, 2021. We also screened gray literature for unpublished data. Eligible studies were randomized controlled trials of eHealth-based psychosocial interventions targeting adults with insomnia. Random-effects meta-analysis models were used to assess primary and secondary outcomes. Primary outcomes were insomnia severity and sleep quality. Meta-analyses were performed by pooling the effects of eHealth-based psychosocial interventions on insomnia compared with inactive and in-person conditions. We performed subgroup analyses and metaregressions to explore specific factors that affected the effectiveness. Secondary outcomes included sleep diary parameters and mental health-related outcomes. RESULTS Of the 19,980 identified records, 37 randomized controlled trials (13,227 participants) were included. eHealth-based psychosocial interventions significantly reduced insomnia severity (Hedges g=-1.01, 95% CI -1.12 to -0.89; P<.001) and improved sleep quality (Hedges g=-0.58, 95% CI -0.75 to -0.41; P<.001) compared with inactive control conditions, with no evidence of publication bias. We found no significant difference compared with in-person treatment in alleviating insomnia severity (Hedges g=0.41, 95% CI -0.02 to 0.85; P=.06) and a significant advantage for in-person treatment in enhancing sleep quality (Hedges g=0.56, 95% CI 0.24-0.88; P<.001). eHealth-based psychosocial interventions had significantly larger effects (P=.01) on alleviating insomnia severity in clinical samples than in subclinical samples. eHealth-based psychosocial interventions that incorporated guidance from trained therapists had a significantly greater effect on insomnia severity (P=.05) and sleep quality (P=.02) than those with guidance from animated therapists or no guidance. Higher baseline insomnia severity and longer intervention duration were associated with a larger reduction in insomnia severity (P=.004). eHealth-based psychosocial interventions significantly improved each secondary outcome. CONCLUSIONS eHealth interventions for insomnia are effective in improving sleep and mental health and can be considered a promising treatment for insomnia. Our findings support the wider dissemination of eHealth interventions and their further promotion in a stepped-care model. Offering blended care could improve treatment effectiveness. Future research needs to elucidate which specific intervention components are most important to achieve intervention effectiveness. Blended eHealth interventions may be tailored to benefit people with low socioeconomic status, limited access to health care, or lack of eHealth literacy.
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Affiliation(s)
- Wenrui Deng
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.,Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.,Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | | | - Hongxia Shen
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.,School of Nursing, Guangzhou Medical University, Guangzhou, China
| | - Junjie Wei
- Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, China
| | - Evelyn A Brakema
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Nick Guldemond
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Xiaoyue Song
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Xiaoming Li
- Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, China
| | - Marie-José van Tol
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | - André Aleman
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | - Niels H Chavannes
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
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Shang Y, Wei J, He X, Zhao J, Shen H, Wu D, Wu T, Wang Q. In Situ Fabrication of Benzoquinone Crystal Layer on the Surface of Nest-Structural Ionohydrogel for Flexible "All-in-One" Supercapattery. Adv Mater 2023; 35:e2208443. [PMID: 36546579 DOI: 10.1002/adma.202208443] [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: 09/14/2022] [Revised: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Flexible energy-storage devices lay the foundation for a convenient, advanced, fossil fuel-free society. However, the fabrication of flexible energy-storage devices remains a tremendous challenge due to the intrinsic dissimilarities between electrode and electrolyte. In this study, a strategy is proposed for fabricating a flexible electrode and electrolyte entirely inside a matrix. First, a nest-structural and redox-active ionohydrogel with excellent stretchability (up to 3000%) and conductivity (167.9 mS cm-1 ) is designed using a hydrated ionic liquid (HIL) solvent and chemical foaming strategy. The nest-structure ionohydrogel provides sufficient "highways" and "service area", and the cation in HIL facilitates the reaction, transportation, and deposition of benzoquinone. Subsequently, in situ, a novel benzoquinone crystal-gel interface (CGI) is in situ fabricated on the surface of the ionohydrogel through electrochemical deposition of benzoquinone. Thus, an integrated CGI-gel platform is successfully achieved with a middle body as an electrolyte and the surficial redox-active CGI membrane for electrochemical energy conversion and storage. Based on the CGI-gel platform, an extreme simple and effective "stick-to-use" strategy is proposed for constructing flexible energy-storage devices and then a series of flexible supercapatteries are fabricated with high stretchability and capacitance (5222.1 mF cm-2 at 600% strain), low self-discharge and interfacial resistance and a wearable, self-power and intelligent display.
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Affiliation(s)
- Yinghui Shang
- Frontiers Science Center for Intelligent Autonomous Systems, School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, P. R. China
| | - Junjie Wei
- Frontiers Science Center for Intelligent Autonomous Systems, School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China
| | - Xian He
- Frontiers Science Center for Intelligent Autonomous Systems, School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China
| | - Jie Zhao
- Key Laboratory of Macrocyclic and Supramolecular Chemistry of Guizhou Province, Guizhou University, Guiyang, 550025, P. R. China
| | - Hongdou Shen
- Frontiers Science Center for Intelligent Autonomous Systems, School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China
| | - Dongbei Wu
- Frontiers Science Center for Intelligent Autonomous Systems, School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China
| | - Tong Wu
- Frontiers Science Center for Intelligent Autonomous Systems, School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China
| | - Qigang Wang
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, P. R. China
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Liu H, Chen R, Li H, Lin J, Wang Y, Han M, Wang T, Wang H, Chen Q, Chen F, Chu P, Liang C, Ren C, Zhang Y, Yang F, Sheng Y, Wei J, Wu X, Yu G. Genome-wide identification and expression analysis of SlRR genes in response to abiotic stress in tomato. Plant Biol (Stuttg) 2023; 25:322-333. [PMID: 36457231 DOI: 10.1111/plb.13494] [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: 04/30/2022] [Accepted: 11/15/2022] [Indexed: 06/17/2023]
Abstract
The cytokinin two-component signal transduction system (TCS) is involved in many biological processes, including hormone signal transduction and plant growth regulation. Although cytokinin TCS has been well characterized in Arabidopsis thaliana, its role in tomato remains elusive. In this study, we characterized the diversity and function of response regulator (RR) genes, a critical component of TCS, in tomato. In total, we identified 31 RR genes in the tomato genome. These SlRR genes were classified into three subgroups (type-A, type-B and type-C). Various stress-responsive cis-elements were present in the tomato RR gene promoters. Their expression responses under pesticide treatment were evaluated by transcriptome analysis. Their expression under heat, cold, ABA, salinity and NaHCO3 treatments was further investigated by qRT-PCR and complemented with the available transcription data under these treatments. Specifically, SlRR13 expression was significantly upregulated under salinity, drought, cold and pesticide stress and was downregulated under ABA treatment. SlRR23 expression was induced under salt treatment, while the transcription level of SlRR1 was increased under cold and decreased under salt stress. We also found that GATA transcription factors played a significant role in the regulation of SlRR genes. Based on our results, tomato SlRR genes are involved in responses to abiotic stress in tomato and could be implemented in molecular breeding approaches to increase resistance of tomato to environmental stresses.
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Affiliation(s)
- H Liu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - R Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - H Li
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - J Lin
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - M Han
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - T Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - H Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Q Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - F Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - P Chu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - C Liang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - C Ren
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Zhang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - F Yang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Sheng
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - J Wei
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - X Wu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - G Yu
- Heilongjiang Bayi Agricultural University, Daqing, China
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Tan Z, Haider A, Zhang S, Chen J, Wei J, Liao K, Li G, Wei H, Dong C, Ran W, Li Y, Li Y, Rong J, Li Y, Liang SH, Xu H, Wang L. Quantitative assessment of translocator protein (TSPO) in the non-human primate brain and clinical translation of [ 18F]LW223 as a TSPO-targeted PET radioligand. Pharmacol Res 2023; 189:106681. [PMID: 36746361 DOI: 10.1016/j.phrs.2023.106681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/12/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Translocator protein 18 kDa (TSPO) positron emission tomography (PET) can be harnessed for the non-invasive detection of macrophage-driven inflammation. [18F]LW223, a newly reported TSPO PET tracer which was insensitive to rs6971 polymorphism, showed favorable performance characteristics in a recent imaging study involving a rat myocardial infarction model. To enable quantitative neuroimaging with [18F]LW223, we conducted kinetic analysis in the non-human primate (NHP) brain. Further, we sought to assess the utility of [18F]LW223-based TSPO imaging in a first-in-human study. METHODS Radiosynthesis of [18F]LW223 was accomplished on an automated module, whereas molar activities, stability in formulation, lipophilicity and unbound free fraction (fu) of the probe were measured. Brain penetration and target specificity of [18F]LW223 in NHPs were corroborated by PET-MR imaging under baseline and pre-blocking conditions using the validated TSPO inhibitor, (R)-PK11195, at doses ranging from 5 to 10 mg/kg. Kinetic modeling was performed using one-tissue compartment model (1TCM), two-tissue compartment model (2TCM) and Logan graphical analyses, using dynamic PET data acquisition, arterial blood collection and metabolic stability testing. Clinical PET scans were performed in two healthy volunteers (HVs). Regional brain standard uptake value ratio (SUVr) was assessed for different time intervals. RESULTS [18F]LW223 was synthesized in non-decay corrected radiochemical yields (n.d.c. RCYs) of 33.3 ± 6.5% with molar activities ranging from 1.8 ± 0.7 Ci/µmol (n = 11). [18F]LW223 was stable in formulation for up to 4 h and LogD7.4 of 2.31 ± 0.13 (n = 6) and fu of 5.80 ± 1.42% (n = 6) were determined. [18F]LW223 exhibited good brain penetration in NHPs, with a peak SUV value of ca. 1.79 in the whole brain. Pre-treatment with (R)-PK11195 substantially accelerated the washout and attenuated the area under the time-activity curve, indicating in vivo specificity of [18F]LW223 towards TSPO. Kinetic modeling demonstrated that 2TCM was the most suitable model for [18F]LW223-based neuroimaging. Global transfer rate constants (K1) and total volumes of distribution (VT) were found to be 0.10 ± 0.01 mL/cm3/min and 2.30 ± 0.17 mL/cm3, respectively. Dynamic PET data analyses across distinct time windows revealed that the VT values were relatively stable after 60 min post-injection. In a preliminary clinical study with two healthy volunteers, [18F]LW223 exhibited good brain uptake and considerable tracer retention across all analyzed brain regions. Of note, an excellent correlation between SUVr with VT was obtained when assessing the time interval from 20 to 40 min post tracer injection (SUVr(20-40 min), R2 = 0.94, p < 0.0001), suggesting this time window may be suitable to estimate specific binding to TSPO in human brain. CONCLUSION Our findings indicate that [18F]LW223 is suitable for quantitative TSPO-targeted PET imaging in higher species. Employing state-of-the-art kinetic modeling, we found that [18F]LW223 was effective in mapping TSPO throughout the NHP brain, with best model fits obtained from 2TCM and Logan graphical analyses. Overall, our results indicate that [18F]LW223 exhibits favorable tracer performance characteristics in higher species, and this novel imaging tool may hold promise to provide effective neuroinflammation imaging in patients with neurological disease.
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Affiliation(s)
- Zhiqiang Tan
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ahmed Haider
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA
| | - Shaojuan Zhang
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jiahui Chen
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA
| | - Junjie Wei
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Kai Liao
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Guocong Li
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Huiyi Wei
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Chenchen Dong
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Wenqing Ran
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ying Li
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yuefeng Li
- Guangdong Landau Biotechnology Co. Ltd., Guangzhou 510555, China
| | - Jian Rong
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA
| | - Yinlong Li
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA
| | - Steven H Liang
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA.
| | - Hao Xu
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Lu Wang
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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Li R, Wang X, Yu D, Liang Q, Liu F, Zhang L, Hu B, Wei J, Liu L, Liu J, Xu H. Dietary chitosan alleviates intestinal and liver injury of hybrid sturgeon (Acipenser baerii♀ × A. schrenckii♂) induced by Aeromonas hydrophila infection. Anim Feed Sci Technol 2023. [DOI: 10.1016/j.anifeedsci.2023.115624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Wang D, Hu J, Wei J, Liu X, Hou H. Insights into Nitrogen-doped Carbon for Oxygen Reduction: The Role of Graphitic and Pyridinic Nitrogen Species. Chemphyschem 2023; 24:e202200734. [PMID: 36759329 DOI: 10.1002/cphc.202200734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/09/2023] [Accepted: 02/09/2023] [Indexed: 02/11/2023]
Abstract
Nitrogen-doped carbons (N/Cs) manifest good catalytic performance for oxygen reduction reaction (ORR) for fuel cell systems. However, to date, controversies remain on the role of active sites in N/Cs. In the present study, ORR test was conducted on three N/Cs in O2 -saturated 0.1 M KOH aqueous solution, where apparent linear correlation between graphitic N contents and ORR activity was observed. Theoretical calculations demonstrated that graphitic N doping is energetically more favorable than that of pyridinic N doping for ORR and the pyridinic N leads to more preferential with 2 e- ORR pathway. These results reveal that graphitic N plays a key role in N/Cs mediated ORR activity. This work lays a solid foundation on identifying the active sites in heteroatom-doped carbons and can be exploited for rational design and engineering of effective carbon-based ORR catalysts.
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Affiliation(s)
- Dongliang Wang
- School of Environmental Science and Engineering, Hubei Key Laboratory of Mine Environmental Pollution Control &Remediation, Hubei Polytechnic University, 16 North Guilin Road, Xialu District, Huangshi, Hubei Province, P.R. China.,School of Environmental Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei Province, P.R. China
| | - Jingping Hu
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei Province, P.R. China
| | - Junjie Wei
- School of Environmental Science and Engineering, Hubei Key Laboratory of Mine Environmental Pollution Control &Remediation, Hubei Polytechnic University, 16 North Guilin Road, Xialu District, Huangshi, Hubei Province, P.R. China.,College of Resource and Environmental Engineering, Wuhan University of Science and Technology, 947 Heping Avenue, Qingshan District, Wuhan, Hubei Province, P.R. China
| | - Xianli Liu
- School of Environmental Science and Engineering, Hubei Key Laboratory of Mine Environmental Pollution Control &Remediation, Hubei Polytechnic University, 16 North Guilin Road, Xialu District, Huangshi, Hubei Province, P.R. China
| | - Huijie Hou
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei Province, P.R. China
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Vijayan RC, Venkataraman K, Wei J, Sheth NM, Shafiq B, Siewerdsen JH, Zbijewski W, Li G, Cleary K, Uneri A. Multi-Body 3D-2D Registration for Robot-Assisted Joint Reduction: Preclinical Evaluation in the Ankle Syndesmosis. Proc SPIE Int Soc Opt Eng 2023; 12466:124661F. [PMID: 37143861 PMCID: PMC10155864 DOI: 10.1117/12.2654481] [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] [Indexed: 05/06/2023]
Abstract
Purpose Existing methods to improve the accuracy of tibiofibular joint reduction present workflow challenges, high radiation exposure, and a lack of accuracy and precision, leading to poor surgical outcomes. To address these limitations, we propose a method to perform robot-assisted joint reduction using intraoperative imaging to align the dislocated fibula to a target pose relative to the tibia. Methods The approach (1) localizes the robot via 3D-2D registration of a custom plate adapter attached to its end effector, (2) localizes the tibia and fibula using multi-body 3D-2D registration, and (3) drives the robot to reduce the dislocated fibula according to the target plan. The custom robot adapter was designed to interface directly with the fibular plate while presenting radiographic features to aid registration. Registration accuracy was evaluated on a cadaveric ankle specimen, and the feasibility of robotic guidance was assessed by manipulating a dislocated fibula in a cadaver ankle. Results Using standard AP and mortise radiographic views registration errors were measured to be less than 1 mm and 1° for the robot adapter and the ankle bones. Experiments in a cadaveric specimen revealed up to 4 mm deviations from the intended path, which was reduced to <2 mm using corrective actions guided by intraoperative imaging and 3D-2D registration. Conclusions Preclinical studies suggest that significant robot flex and tibial motion occur during fibula manipulation, motivating the use of the proposed method to dynamically correct the robot trajectory. Accurate robot registration was achieved via the use of fiducials embedded within the custom design. Future work will evaluate the approach on a custom radiolucent robot design currently under construction and verify the solution on additional cadaveric specimens.
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Affiliation(s)
- R. C. Vijayan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - K. Venkataraman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - J. Wei
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - N. M. Sheth
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - B. Shafiq
- Department of Orthopedic Surgery, Johns Hopkins Medicine, Baltimore MD
| | - J. H. Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
- Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston TX
| | - W. Zbijewski
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - G. Li
- Children’s National Hospital, Washington DC
| | - K. Cleary
- Children’s National Hospital, Washington DC
| | - A. Uneri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
- ; phone: +1-276-614-7743; website: carnegie.jhu.edu
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Li H, Li L, Zhang H, Wei J, Xu Z, Chen T. Cell Differentiation-Inspired, Salt-Induced Multifunctional Gels for an Intelligent Soft Robot with an Artificial Reflex Arc. ACS Appl Mater Interfaces 2023; 15:5910-5920. [PMID: 36657404 DOI: 10.1021/acsami.2c20172] [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] [Indexed: 06/17/2023]
Abstract
To make soft robotics intelligent, dazzling artificial skin and actuators have been created. However, compared to rigid commercial robots, the sophisticated demands of raw materials become a key challenge for autonomous soft actuators to realize manufacturing repeatability and reproducibility. Inspired by the stem cell, which has the potential to differentiate into multifunctional cells with the same original compositions, a potential multifunctional gel is presented. With well-designed polymer chains, the gel has a salt-induced regulating module, conductivity, and other bionic properties. Making use of this advantage, the gel acts as a double-duty electrode for both the actuator and sensor. An artificial reflex arc is therefore formed by their tight integration via an e-brain: a computing unit that specifically responds to organism intervention. This efficient strategy to obtain diverse components with minimal raw materials is promising for effortlessly fabricating fully soft robotics.
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Affiliation(s)
- Huijing Li
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing100049, China
| | - Long Li
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo315201, China
| | - Hao Zhang
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing100049, China
| | - Junjie Wei
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing100049, China
| | - Zhenyu Xu
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing100049, China
| | - Tao Chen
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Material Technology and Engineering, Chinese Academy of Sciences, Ningbo315201, China
- School of Chemical Science, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing100049, China
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Chen B, Wang X, Li P, Feng X, Mao Z, Wei J, Lin X, Li X, Wang L. Exploring the protective effects of freeze-dried Lactobacillus rhamnosus under optimized cryoprotectants formulation. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2022.114295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Hui Y, Xu Z, Li J, Kuang L, Zhong Y, Tang Y, Wei J, Zhou H, Zheng T. Nonenzymatic function of DPP4 promotes diabetes-associated cognitive dysfunction through IGF-2R/PKA/SP1/ERp29/IP3R2 pathway-mediated impairment of Treg function and M1 microglia polarization. Metabolism 2023; 138:155340. [PMID: 36302455 DOI: 10.1016/j.metabol.2022.155340] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/16/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Impairment of regulatory T (Treg) cells function is implicated in the pathogenesis of immune imbalance-mediated cognitive impairment. A complete understanding of whether and how this imbalance affect cognitive function in type 2 diabetes is lacking, and the driver affecting this imbalance remains unknown. METHODS We examined the impact of enzymatic and non-enzymatic function of DPP4 on Treg cell impairment, microglia polarization and diabetes-associated cognitive defects and identified its underlying mechanism in type 2 diabetic patients with cognitive impairment and in db/db mice. RESULTS We report that DPP4 binds to IGF2-R on Treg cell surface and activates PKA/SP1 signaling, which upregulate ERp29 expression and promote its binding to IP3R2, thereby inhibiting IP3R2 degradation and promoting mitochondria-associated ER membrane formation and mitochondria calcium overload in Tregs. This, in turn, impairs Tregs function and polarizes microglia toward a pro-inflammatory phenotype in the hippocampus and finally leads to neuroinflammation and cognitive impairment in type 2 diabetes. Importantly, inhibiting DPP4 enzymatic activity in type 2 diabetic patients or mutating DPP4 enzymatic active site in db/db mice did not reverse these changes. However, IGF-2R knockdown or blockade ameliorated these effects both in vivo and in vitro. CONCLUSION These findings highlight the nonenzymatic role of DPP4 in impairing Tregs function, which may facilitate the design of novel immunotherapies for diabetes-associated cognitive impairment.
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Affiliation(s)
- Ya Hui
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Zhiqiang Xu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Jiaxiu Li
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Liuyu Kuang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Yuanmei Zhong
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Yunyun Tang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Junjie Wei
- Lingui Clinical Medical College, Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Huimin Zhou
- Department of General Medicine, Guilin Medical University, Guilin, Guangxi 541199, PR China
| | - Tianpeng Zheng
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Key Laboratory of Brain and Cognitive Neuroscience, Guilin Medical University, Guilin, Guangxi 541199, PR China; Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541199, PR China.
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Wei J, Deng Q, Zhang L. Study on emergency evacuation in underground urban complexes. PLoS One 2022; 17:e0278521. [PMID: 36584008 PMCID: PMC9803195 DOI: 10.1371/journal.pone.0278521] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 11/17/2022] [Indexed: 12/31/2022] Open
Abstract
With progressive urbanization and the development and utilization of urban underground space, underground urban complexes (UUCs) have been increasingly used. UUCs have brought much convenience to people's lives. However, due to their enclosed nature and complexity, it has been an urgent issue to avoid (or reduce) casualties and allow rapid and safe evacuation of people during an emergency. In this study, the evacuation simulation software Pathfinder was used. Based on the steering model, the variation of the total evacuation time and pedestrian flow at main exits with different simulated evacuation measures, congestion at key nodes and people's path selection were compared and analyzed. Then, the critical locations in the spatial layout of UUCs that were prone to evacuation bottleneck effects were focused on and determined. The evacuation effectiveness of UUCs in an emergency was studied to investigate the problems of emergency evacuation in UUCs. It is found that in UUCs, the bottleneck effects were likely to occur at stairway entrances and exits as well as supermarket checkout counters and caused severe congestion. These locations should be focused on during emergency evacuation. For key locations prone to evacuation bottlenecks, increasing the width of exits or setting up auxiliary evacuation channels could be an effective measure to improve evacuation efficiency. In addition, formulating rational evacuation rules can be a favorable measure for emergency evacuation. However, during the evacuation, the herd mentality in people has an uncertain (positive or negative) impact on evacuation effectiveness. Setting up diversion walls may improve evacuation efficiency and reduce congestion to a certain extent, while evacuation confusion and chaos are prone to occur after diversion. These findings in this study have significant implications for improving the emergency management of UUCs.
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Affiliation(s)
- Junjie Wei
- School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, China
- Key Laboratory of Public Security Management Technology, Shandong Management University, Jinan, China
- * E-mail: (JW); (LZ)
| | - Qigen Deng
- School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, China
| | - Lixin Zhang
- Sichuan Xintairan Safety Technology Co., LTD, Chengdu, China
- College of Engineering, China University of Geosciences (Wuhan), Wuhan, China
- * E-mail: (JW); (LZ)
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Xia Y, Feng YJ, Yao M, Jin JN, Wei J, Cui YQ, Wang LS, Chen TT, Chen XY, Li HB, Xu JF, Long Q, Jiang Y, Liu JL, Lou JG, Gao F, Mao SS. [Clinical follow-up analysis of multidisciplinary treatment of children with spinal muscular atrophy]. Zhonghua Er Ke Za Zhi 2022; 60:1134-1139. [PMID: 36319146 DOI: 10.3760/cma.j.cn112140-20220221-00138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To analyze the follow-up and clinical effect of multidisciplinary treatment on the children with spinal muscular atrophy (SMA). Methods: The clinical data including nutritional status, respiratory function, bone health and motor function of 45 children with SMA who received multidisciplinary management 1-year follow-up in the Children's Hospital, Zhejiang University School of Medicine from July 2019 to October 2021 were retrospectively collected. Comparisons before and after management were performed using paired-samples t-test or Wilcoxon rank-sum test, etc. Results: The age of 45 patients (25 boys and 20 girls) was 50.4 (33.6, 84.0) months at the enrollment, with 6 cases of type 1, 22 cases of type 2, and 17 cases of type 3 respectively. After the multidisciplinary management, the cases of SMA patients with malnutrition decreased from 22 to 12 (P=0.030), the level of vitamin D were significantly increased ((45±17) vs. (48±14) nmol/L, t=-4.13, P<0.001). There was no significant difference in the forced vital capacity %pred, the forced expiratory volume at 1 second %pred, and the peak expiratory flow %pred ((76±19)% and (76±21)%, (81±18)% and (79±18)%, (81±21)% and (78±17)%; t=-0.24, 1.36, 1.21; all P>0.05). The Cobbs angle of scoliosis also improved significantly (8.0°(0°, 13.0°) vs. 10.0°(0°, 18.5°), Z=-3.01, P=0.003). The Hammersmith functional motor scale expanded scores of children with SMA type 2 and type 3 both showed significant elevation (11.0 (8.0, 18.0) vs. 11.0 (5.0, 18.5) scores, 44.0 (36.5, 53.0) vs. 44.0 (34.0, 51.5) scores, Z=2.44, 3.11, P=0.015, 0.002). Conclusion: Multidisciplinary management is beneficial for delaying the progression of the multi-system impairments of SMA patients, such as malnutrition, restrictive ventilation dysfunction and scoliosis.
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Affiliation(s)
- Y Xia
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y J Feng
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - M Yao
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J N Jin
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J Wei
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Q Cui
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - L S Wang
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - T T Chen
- Department of Developmental Behavior, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - X Y Chen
- Department of Developmental Behavior, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - H B Li
- Department of Orthopedics, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J F Xu
- Department of Orthopedics, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Q Long
- Department of Clinial Nutrition, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Jiang
- Department of Respiratory, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J L Liu
- Department of Respiratory, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J G Lou
- Department of Gastroenterology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - F Gao
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - S S Mao
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Wei J, Yuile A, Khou V, Itchins M, Kong B, Pavlakis N, Chan D, Clarke S. 338P Anti PD1 is superior to anti PDL1 when combined with chemotherapy in first-line treatment for metastatic non-small cell lung cancer (mNSCLC): A network meta-analysis. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Kong B, Wei J, Smith S, Chan W, Harden S, Khou V, Alexander M, Brown C, Itchins M, Lee J, Mersiades A, Gray L, Boyer M, Pavlakis N, Clarke S, Jayamanne D, Kao SH. 347P Real-world efficacy of first-line therapy in wild-type non-small cell lung cancer (NSCLC) patients with brain metastases. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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