1
|
Wang Y, Li S, Lu J, Feng K, Huang X, Hu F, Sun M, Zou Y, Li Y, Huang W, Zhou J. The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study. J Endocrinol Invest 2024:10.1007/s40618-024-02393-4. [PMID: 38762634 DOI: 10.1007/s40618-024-02393-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/11/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND The wealth of data taken from continuous glucose monitoring (CGM) remains to be fully used. We aimed to evaluate the relationship between a promising new CGM metric, complexity of glucose time series index (CGI), and mortality in critically ill patients. METHODS A total of 293 patients admitted to mixed medical/surgical intensive care units from 5 medical centers in Shanghai were prospectively included between May 2020 and November 2021. CGI was assessed using intermittently scanned CGM, with a median monitoring period of 12.0 days. Outcome measures included short- and long-term mortality. RESULTS During a median follow-up period of 1.7 years, a total of 139 (47.4%) deaths were identified, of which 73 (24.9%) occurred within the first 30 days after ICU admission, and 103 (35.2%) within 90 days. The multivariable-adjusted HRs for 30-day mortality across ascending tertiles of CGI were 1.00 (reference), 0.68 (95% CI 0.38-1.22) and 0.36 (95% CI 0.19-0.70), respectively. For per 1-SD increase in CGI, the risk of 30-day mortality was decreased by 51% (HR 0.49, 95% CI 0.35-0.69). Further adjustment for HbA1c, mean glucose during hospitalization and glucose variability partially attenuated these associations, although the link between CGI and 30-day mortality remained significant (per 1-SD increase: HR 0.57, 95% CI 0.40-0.83). Similar results were observed when 90-day mortality was considered as the outcome. Furthermore, CGI was also significantly and independently associated with long-term mortality (per 1-SD increase: HR 0.77, 95% CI 0.61-0.97). CONCLUSIONS In critically ill patients, CGI is significantly associated with short- and long-term mortality.
Collapse
Affiliation(s)
- Y Wang
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - S Li
- Department of Anesthesiology, Tongji University Affiliated Shanghai Tenth People's Hospital, Shanghai, China
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China
| | - J Lu
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - K Feng
- Department of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
| | - X Huang
- Department of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
| | - F Hu
- Department of Critical Care Medicine, Shanghai Fengxian District Central Hospital, Shanghai, China
| | - M Sun
- Department of Critical Care Medicine, Shanghai Eighth People's Hospital, Shanghai, China
| | - Y Zou
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital East Campus, Shanghai, China
| | - Y Li
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China.
- Department of Critical Care Medicine, Tongji University Affiliated Shanghai Tenth People's Hospital, 301 Yanan Middle Road, Shanghai, 200040, China.
| | - W Huang
- Department of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China.
- Department of Critical Care Medicine, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, 966 Huaihai Middle Road, Shanghai, 200031, China.
| | - J Zhou
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
| |
Collapse
|
2
|
Deng Y, Ge X, Li Y, Zou B, Wen X, Chen W, Lu L, Zhang M, Zhang X, Li C, Zhao C, Lin X, Zhang X, Huang X, Li X, Jin M, Peng GH, Wang D, Wang X, Lai W, Liang J, Li JJ, Liang Q, Yang L, Zhang Q, Li Y, Lu P, Hu X, Li X, Deng X, Liu Y, Zou Y, Guo S, Chen T, Qin Y, Yang F, Miao L, Chen W, Chan CC, Lin H, Liu Y, Lee RWJ, Wei L. Author Correction: Identification of an intraocular microbiota. Cell Discov 2024; 10:51. [PMID: 38750045 PMCID: PMC11096321 DOI: 10.1038/s41421-024-00675-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024] Open
Affiliation(s)
- Yuhua Deng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xiaofei Ge
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yan Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Bin Zou
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xiaofeng Wen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Weirong Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Lin Lu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Meifen Zhang
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xiaomin Zhang
- Tianjin Medical University Eye Hospital, Eye Institute & School of Optometry and Ophthalmology, Tianjin, 300384, China
| | - Chunmei Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Chan Zhao
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xiaofeng Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xiulan Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xinhua Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xiaorong Li
- Tianjin Medical University Eye Hospital, Eye Institute & School of Optometry and Ophthalmology, Tianjin, 300384, China
| | - Ming Jin
- Department of Ophthalmology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Guang-Hua Peng
- Department of Pathophysiology, Basic Medical College of Zhengzhou University, Zhengzhou, He'nan, 450001, China
- Department of Ophthalmology, General Hospital of Chinese People's Liberation Army, Beijing, 100853, China
| | - Dongni Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xun Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Weiyi Lai
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Juanran Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Jing Jing Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Qiaoxing Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Liu Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Qinfen Zhang
- State Key Laboratory of Biocontrol, MOE Key Laboratory of Aquatic Product Safety, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Yinyin Li
- State Key Laboratory of Biocontrol, MOE Key Laboratory of Aquatic Product Safety, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Ping Lu
- State Key Laboratory of Biocontrol, MOE Key Laboratory of Aquatic Product Safety, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
| | - Xiao Hu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xifang Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Xiuli Deng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yu Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yanli Zou
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Shixin Guo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Tingting Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yali Qin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Fuhua Yang
- Tianjin Medical University Eye Hospital, Eye Institute & School of Optometry and Ophthalmology, Tianjin, 300384, China
| | - Li Miao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Wei Chen
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, 15261, USA
- Division of Pulmonary Medicine, Allergy and Immunology, Department of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, 15224, USA
| | - Chi-Chao Chan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Haotian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yizhi Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China.
| | - Richard W J Lee
- Translational Health Sciences, University of Bristol, Bristol, UK.
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
| | - Lai Wei
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China.
| |
Collapse
|
3
|
Wang N, Gao YY, Qi BQ, Ruan M, Lyu H, Zhang XY, Zhang RR, Liu TF, Chen YM, Zou Y, Guo Y, Yang WY, Zhang L, Zhu XF, Chen XJ. [Clinical features and prognostic analysis of testicular relapse in pediatric acute lymphoblastic leukemia]. Zhonghua Er Ke Za Zhi 2024; 62:262-267. [PMID: 38378289 DOI: 10.3760/cma.j.cn112140-20230816-00110] [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: 02/22/2024]
Abstract
Objective: To investigate the clinical features and prognosis of testicular relapse in pediatric acute lymphoblastic leukemia (ALL). Methods: Clinical data including the age, time from initial diagnosis to recurrence, relapse site, and therapeutic effect of 37 pediatric ALL with testicular relapse and treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences between November 2011 and December 2022 were analyzed retrospectively. Patients were grouped according to different clinical data. Kaplan-Meier analysis was used to evaluate the overall survival (OS) rate and event free survival (EFS) rate for univariate analysis, and Cox proportional-hazards regression model was used to evaluate the influencing factors of OS rate and EFS rate for multivariate analysis. Results: The age at initial diagnosis of 37 pediatric testicular relapse patients was (5±3) years and the time from initial diagnosis to testicular recurrence was (37±15) months. The follow-up time was 43 (22, 56) months. Twenty-three patients (62%) were isolated testis relapse. The 5-year OS rate and EFS rate of the 37 relapsed children were (60±9) % and (50±9) % respectively. Univariate analysis showed that the 2-year EFS rate in the group of patients with time from initial diagnosis to testicular recurrence >28 months was significantly higher than those ≤28 months ((69±10)% vs. (11±11)%, P<0.05), 2-year EFS rate of the isolated testicular relapse group was significantly higher than combined relapse group ((66±11)% vs. (20±13) %, P<0.05), 2-year EFS rate of chimeric antigen receptor T (CAR-T) cell treatment after relapse group was significantly higher than without CAR-T cell treatment after relapse group ((78±10)% vs. (15±10)%, P<0.05). ETV6-RUNX1 was the most common genetic aberration in testicular relapsed ALL (38%, 14/37). The 4-year OS and EFS rate of patients with ETV6-RUNX1 positive were (80±13) % and (64±15) %, respectively. Multivariate analysis identified relapse occurred≤28 months after first diagnosis (HR=3.09, 95%CI 1.10-8.72), combined relapse (HR=4.26, 95%CI 1.34-13.52) and CAR-T cell therapy after relapse (HR=0.15,95%CI 0.05-0.51) were independent prognostic factors for 2-year EFS rate (all P<0.05). Conclusions: The outcome of testicular relapse in pediatric ALL was poor. They mainly occurred 3 years after initial diagnosis. ETV6-RUNX1 is the most common abnormal gene.Patients with ETV6-RUNX1 positive often have a favorable outcome. Early relapse and combined relapse indicate unfavorable prognosis, while CAR-T cell therapy could significantly improve the survival rate of children with testicular recurrence.
Collapse
Affiliation(s)
- N Wang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Y Gao
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - B Q Qi
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - M Ruan
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - H Lyu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X Y Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - R R Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - T F Liu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y M Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Zou
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Guo
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - W Y Yang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - L Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X F Zhu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X J Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| |
Collapse
|
4
|
Zou Y, Qin C, Yang Q, Lang Y, Liu K, Yang F, Li X, Zhao Y, Zheng T, Wang M, Shi R, Yang W, Zhou Y, Chen L, Liu F. Clinical characteristics, outcomes and risk factors for mortality in hospitalized diabetes and chronic kidney disease patients after COVID-19 infection following widespread vaccination. J Endocrinol Invest 2024; 47:619-631. [PMID: 37725309 DOI: 10.1007/s40618-023-02180-7] [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: 03/22/2023] [Accepted: 08/17/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND COVID-19 poses a significant threat to patients with comorbidities, such as diabetes and chronic kidney disease (CKD). China experienced a nationwide COVID-19 endemic from December 2022 to January 2023, which is the first occurrence of such an outbreak following China's widespread administration of COVID-19 vaccinations. METHODS A total of 338 patients with diabetes and CKD combined with COVID-19 infection between December 7, 2022 and January 31, 2023 were included in this study. The end follow-up date was February 10, 2023. Univariate analysis and multivariate Cox analysis were used to analyze risk factors for death. RESULTS During the 50-day median follow-up period, 90 patients in the study cohort died, for a mortality rate of 26.63%. The median age of the study cohort was 74 years, with a male predominance of 74%. During hospitalization, 21% of patients had incident AKI, 17% of patients experienced stroke, and 40% of patients experienced respiratory failure. Cox proportional hazard regression showed that older age, a diagnosis of severe or critically severe COVID-19 infection, incident AKI and respiratory failure, higher level of average values of fasting glucose during hospitalization, UA, and total bilirubin were independent risk factors for death in our multivariate model. CONCLUSIONS These findings highlight the critical importance of identifying and managing comorbid risk factors for COVID-19, especially among the elderly, in order to optimize clinical outcomes, even after COVID-19 vaccination.
Collapse
Affiliation(s)
- Y Zou
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - C Qin
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Q Yang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Y Lang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - K Liu
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - F Yang
- Department of Clinical Medicine, Southwest Medical University, Luzhou, China
| | - X Li
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China
| | - Y Zhao
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China
| | - T Zheng
- Information Center, West China Hospital of Sichuan University, Chengdu, China
- Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, China
| | - M Wang
- Information Center, West China Hospital of Sichuan University, Chengdu, China
- Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, China
| | - R Shi
- Information Center, West China Hospital of Sichuan University, Chengdu, China
- Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, China
| | - W Yang
- Division of Project Design and Statistics, West China Hospital of Sichuan University, Chengdu, China
| | - Y Zhou
- Integrated Care Management Center, West China Hospital of Sichuan University, Chengdu, China
| | - L Chen
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China
- Division of Neurology, West China Hospital of Sichuan University, Chengdu, China
| | - Fang Liu
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China.
| |
Collapse
|
5
|
Zou Y, Zhan T, Liu J, Tan J, Liu W, Huang S, Cai Y, Huang M, Huang X, Tian X. CXCL6 promotes the progression of NAFLD through regulation of PPARα. Cytokine 2024; 174:156459. [PMID: 38056250 DOI: 10.1016/j.cyto.2023.156459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 11/16/2023] [Accepted: 11/28/2023] [Indexed: 12/08/2023]
Abstract
An increasing number of studies have shown that Nonalcoholic fatty liver disease (NAFLD) is strongly associated with obesity, insulin resistance, dyslipidemia, hypertension and metabolic syndrome, but its specific pathogenesis remains unclear. By analyzing GEO database, we found CXCL6 was upregulated in liver tissues of patients with NAFLD. We also confirmed with qPCR that CXCL6 is highly expressed in serum of patients with NAFLD. To identify the underlying impact of CXCL6 on NAFLD, we established animal and cell models of NAFLD. Similarly, we confirmed by qPCR and Western blot that CXCL6 was upregulated in the NAFLD model in vitro and vivo. After transfecting NAFLD cells with siRNA targeting CXCL6 (si-CXCL6), a series of functional experiments were carried out, and these data indicated that the inhibition of CXCL6 reduced intracellular lipid deposition, decreased AST, ALT and TG level, facilitate cell proliferation and suppress their apoptosis. Furthermore, western blot and qPCR analyses displayed that the suppression of CXCL6 could raise the PPARα expression, but PPAR α inhibitor, GW6471 could partially counteract this effect. What's more, Oil Red O staining, biochemical analyzer and TG detection kit revealed that GW6471 could reverse the inhibitory effect of si-CXCL6 on NAFLD. In summary, we provide convincing evidence that CXCL6 is markedly elevated in NAFLD, and the CXCL6/PPARα regulatory network mediates disease progression of NAFLD.
Collapse
Affiliation(s)
- Yanli Zou
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Ting Zhan
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Jiaxi Liu
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan 430060, China
| | - Jie Tan
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Weijie Liu
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Shasha Huang
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Yisan Cai
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Ming Huang
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China
| | - Xiaodong Huang
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China; Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan 430060, China.
| | - Xia Tian
- Department of Gastroenterology, Tongren Hospital of WuHan University (WuHan Third Hospital), Wuhan 430060, China.
| |
Collapse
|
6
|
Zou Y, Mao Q, Zhao Z, Zhou X, Pan Y, Zuo Z, Zhang W. Intratumoural and peritumoural CT-based radiomics for diagnosing lepidic-predominant adenocarcinoma in patients with pure ground-glass nodules: a machine learning approach. Clin Radiol 2024; 79:e211-e218. [PMID: 38044199 DOI: 10.1016/j.crad.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/10/2023] [Accepted: 11/06/2023] [Indexed: 12/05/2023]
Abstract
AIM To develop and validate a diagnostic model utilising machine-learning algorithms that differentiates lepidic predominant adenocarcinoma (LPA) from other pathological subtypes in patients with pure ground-glass nodules (pGGNs). MATERIALS AND METHODS This bicentric study was conducted across two medical centres and included 151 patients diagnosed with lung adenocarcinoma based on histopathological confirmation of pGGNs. The training cohort consisted of 99 patients from Institution 1, while the test cohort included 52 patients from Institution 2. Radiomics features were extracted from both tumours and the 2 mm peritumoural parenchyma. The tumoural and peritumoural radiomics were designated as Modeltumoural and Modelperitumoural, respectively. The diagnostic efficacy of various models was evaluated through the receiver operating characteristic (ROC) curve analysis. Subsequently, a machine-learning-based prediction model that combined Modeltumoural, Modelperitumoural, and Modelclinical-radiological was developed to differentiate LPA from other pathological subtypes in patients with pGGNs. RESULTS Modeltumoural achieved area under the curve (AUC) values of 0.762 and 0.783 in the training and validation sets, respectively. Modelperitumoural attained AUCs of 0.742 and 0.667, and Modelclinical-radiological generated an AUC of 0.727 and 0.739 in the training and validation sets, respectively. Among the machine-learning models evaluated, gradient boosting machines demonstrated the best diagnostic efficacy, with accuracy, AUC, F1 score, and log loss values of 0.885, 0.956, 0.943, and 0.260, respectively. CONCLUSION The combined model based on machine learning that incorporated tumour and peritumoural parenchyma, as well as clinical and imaging characteristics, may offer benefits in assessing the pathological subtype of pGGNs.
Collapse
Affiliation(s)
- Y Zou
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, 545006, China; Guangxi Key Clinical Specialties of Medical Imaging, Liuzhou, 545006, China; Liuzhou Key Laboratory of Molecular Imaging, Liuzhou, 545006, China
| | - Q Mao
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, 545006, China; Guangxi Key Clinical Specialties of Medical Imaging, Liuzhou, 545006, China; Liuzhou Key Laboratory of Molecular Imaging, Liuzhou, 545006, China
| | - Z Zhao
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, 545006, China; Guangxi Key Clinical Specialties of Medical Imaging, Liuzhou, 545006, China; Liuzhou Key Laboratory of Molecular Imaging, Liuzhou, 545006, China
| | - X Zhou
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, 411000, China
| | - Y Pan
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, 545006, China; Guangxi Key Clinical Specialties of Medical Imaging, Liuzhou, 545006, China; Liuzhou Key Laboratory of Molecular Imaging, Liuzhou, 545006, China
| | - Z Zuo
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, 411000, China
| | - W Zhang
- Department of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, 545006, China; Guangxi Key Clinical Specialties of Medical Imaging, Liuzhou, 545006, China; Liuzhou Key Laboratory of Molecular Imaging, Liuzhou, 545006, China.
| |
Collapse
|
7
|
Qian B, Hu Y, Liu C, Zheng D, Han X, Gong M, Zou Y, Zeng D, Liao K, Miao Y, Wu X, Dai J, Wang Z, Xue F. Tetrandrine (TET) inhibits African swine fever virus entry into cells by blocking the PI3K/Akt pathway. Virus Res 2024; 339:199258. [PMID: 37923171 PMCID: PMC10661491 DOI: 10.1016/j.virusres.2023.199258] [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: 07/17/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/07/2023]
Abstract
African Swine Fever Virus (ASFV) infection causes an acute and highly contagious disease in swine, resulting in significant economic losses and societal harm worldwide. Currently, there are no effective vaccines or antiviral drugs available for ASFV. Tetrandrine (TET) is extracted from the traditional Chinese herb Stephania tetrandrae, possesses diverse biological functions such as anti-inflammatory, anti-tumor, and antiviral activities. The study comprehensively evaluated the anti-ASFV effect of TET and validated it through biological assays. The dose-dependent inhibition of TET against ASFV was confirmed and a novel mechanism of TET's anti-ASFV activity was elucidated. TET effectively inhibits ASFV during internalization by blocking macropinocytosis through the inhibition of the PI3K/Akt pathway. The specific inhibitor LY294002, targeting the PI3K/Akt pathway, exhibits similar antiviral activity against ASFV as TET. Furthermore, the inhibitory effect of TET against other viruses such as Lumpy Skin Disease Virus (LSDV) and Porcine Epidemic Diarrhea Virus (PEDV) was also identified. Our findings suggest that TET effectively inhibits ASFV and reveal the potential for broad-spectrum antiviral drugs targeting the PI3K/Akt pathway.
Collapse
Affiliation(s)
- Bingxu Qian
- National Key Laboratory of Meat Quality Control and New Resource Creation, Nanjing Agricultural University, Nanjing, China; China Animal Health and Epidemiology Center, Qingdao, China
| | - Yongxin Hu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Cong Liu
- National Key Laboratory of Meat Quality Control and New Resource Creation, Nanjing Agricultural University, Nanjing, China
| | - Dongxia Zheng
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Xiuju Han
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Mingxia Gong
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Yanli Zou
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Dexin Zeng
- Technical Center of Hefei Customs, Hefei, China; Technology Center of Hefei Customs, and Anhui Province Key Laboratory of Analysis and Detection for Food Safety, Hefei, China
| | - Kai Liao
- National Key Laboratory of Meat Quality Control and New Resource Creation, Nanjing Agricultural University, Nanjing, China
| | - Yurun Miao
- National Key Laboratory of Meat Quality Control and New Resource Creation, Nanjing Agricultural University, Nanjing, China
| | - Xiaodong Wu
- China Animal Health and Epidemiology Center, Qingdao, China.
| | - Jianjun Dai
- National Key Laboratory of Meat Quality Control and New Resource Creation, Nanjing Agricultural University, Nanjing, China
| | - Zhiliang Wang
- China Animal Health and Epidemiology Center, Qingdao, China.
| | - Feng Xue
- National Key Laboratory of Meat Quality Control and New Resource Creation, Nanjing Agricultural University, Nanjing, China; Sanya Institute of Nanjing Agricultural University, Sanya, China.
| |
Collapse
|
8
|
Zou Y, Zhang H, Wang H, Hu J. Predicting Braess's paradox of power grids using graph neural networks. Chaos 2024; 34:013127. [PMID: 38252784 DOI: 10.1063/5.0180204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024]
Abstract
As an increasing number of renewable energy generators are integrated into the electrical grid, the necessity to add new transmission lines to facilitate power transfer and ensure grid stability becomes paramount. However, the addition of new transmission lines to the existing grid topology can lead to the emergence of Braess's paradox or even trigger grid failures. Hence, predicting where to add transmission lines to guarantee stable grid operation is of utmost importance. In this context, we employ deep learning to address this challenge and propose a graph neural network-based method for predicting Braess's paradox in electrical grids, framing the problem of adding new transmission lines causing Braess's paradox as a graph classification task. Taking into consideration the topological and electrical attributes of the grid, we select node features such as degree, closeness centrality, and power values. This approach assists the model in better understanding the relationships between nodes, enhancing the model's representational capabilities. Furthermore, we apply layered adaptive weighting to the output of the graph isomorphism network to emphasize the significance of hierarchical information that has a greater impact on the output, thus improving the model's generalization across electrical grids of varying scales. Experimental results on the IEEE 39, IEEE 57, and IEEE 118 standard test systems demonstrate the efficiency of the proposed method, achieving prediction accuracies of 93.8%, 88.8%, and 88.1%, respectively. Model visualization and ablation studies further validate the effectiveness of this approach.
Collapse
Affiliation(s)
- Yanli Zou
- Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips, Guilin, Guangxi 541004, China
- School of Electronics and Information Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Hai Zhang
- School of Electronics and Information Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Hongjun Wang
- School of Electronics and Information Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Jinmei Hu
- School of Electronics and Information Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China
| |
Collapse
|
9
|
Zhu Q, Tan J, Zhan T, Liu M, Zou Y, Liu W. LINC00115 promotes gastric cancer partly by the miR-212-5p/ATPAF1 axis. AN ACAD BRAS CIENC 2023; 95:e20230480. [PMID: 38088732 DOI: 10.1590/0001-3765202320230480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/09/2023] [Indexed: 12/18/2023] Open
Abstract
LncRNAs are known to be key regulators in the initiation and development of diverse cancers. Whether LINC00115 is involved in the regulation of gastric cancer (GC) progression remains unclear. Here, we aimed to show the function of LINC00115 in GC. RT-qPCR was used to measure gene expression in GC tissues and cells. Colony formation, EdU, TUNEL, and wound healing assays were used to analyze cellular processes in GC. The in vivo GC xenograft model was established. We observed that LINC00115 was highly expressed in GC. Functionally, silencing LINC00115 inhibited GC cell proliferation, and migration but facilitated GC apoptosis. Mechanistically, LINC00115 sponged miR-212-5p, while miR-212-5p targeted ATPAF1 in GC cells. Rescue assays showed ATPAF1 overexpression countervailed the inhibitory role of LINC00115 depletion in GC progression in vitro and in vivo. Overall, LINC00115 promoted GC progression by upregulating ATPAF1 via miR-212-5p.
Collapse
Affiliation(s)
- Qingxi Zhu
- Tongren Hospital of Wuhan University (Wuhan Third Hospital), Department of Gastroenterology, No.241, Pengliuyang Road, Wuhan 430060, Hubei, China
| | - Jie Tan
- Tongren Hospital of Wuhan University (Wuhan Third Hospital), Department of Gastroenterology, No.241, Pengliuyang Road, Wuhan 430060, Hubei, China
| | - Ting Zhan
- Tongren Hospital of Wuhan University (Wuhan Third Hospital), Department of Gastroenterology, No.241, Pengliuyang Road, Wuhan 430060, Hubei, China
| | - Meng Liu
- Tongren Hospital of Wuhan University (Wuhan Third Hospital), Department of Gastroenterology, No.241, Pengliuyang Road, Wuhan 430060, Hubei, China
| | - Yanli Zou
- Tongren Hospital of Wuhan University (Wuhan Third Hospital), Department of Gastroenterology, No.241, Pengliuyang Road, Wuhan 430060, Hubei, China
| | - Weijie Liu
- Tongren Hospital of Wuhan University (Wuhan Third Hospital), Department of Gastroenterology, No.241, Pengliuyang Road, Wuhan 430060, Hubei, China
| |
Collapse
|
10
|
Zou Y, Yan XL, Flores RM, Zhang LY, Yang SP, Fan LY, Deng T, Deng XJ, Ye DQ. Source apportionment and ozone formation mechanism of VOCs considering photochemical loss in Guangzhou, China. Sci Total Environ 2023; 903:166191. [PMID: 37567293 DOI: 10.1016/j.scitotenv.2023.166191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
Understanding the sources and impact of volatile organic compounds (VOCs) on ozone formation is challenging when the traditional method does not account for their photochemical loss. In this study, online monitoring of 56 VOCs was carried out in summer and autumn during high ozone pollution episodes. The photochemical age method was used to evaluate the atmospheric chemical loss of VOCs and to analyze the effects on characteristics, sources, and ozone formation of VOC components. The initial concentrations during daytime were 5.12 ppbv and 4.49 ppbv higher than the observed concentrations in the summer and autumn, respectively. The positive matrix factorization (PMF) model identified 5 major emission sources. However, the omission of the chemical loss of VOCs led to underestimating the contributions of sources associated with highly reactive VOC components, such as those produced by biogenic emissions and solvent usage. Conversely it resulted in overestimating the contributions from VOC components with lower chemical activity such as liquefied petroleum gas (LPG) usage, vehicle emissions, and gasoline evaporation. Furthermore, the estimation of ozone formation may be underestimated when the atmospheric photochemical loss is not taken into account. The ozone formation potential (OFP) method and propylene-equivalent concentration method both underestimated ozone formation by 53.24 ppbv and 47.25 ppbc, respectively, in the summer, and by 40.34 ppbv and 26.37 ppbc, respectively, in the autumn. The determination of the ozone formation regime based on VOC chemical loss was more acceptable. In the summer, the ozone formation regime changed from the VOC-limited regime to the VOC-NOx transition regime, while in the autumn, the ozone formation regime changed from the strong VOC-limited regime to the weak VOC-limited regime. To obtain more thorough and precise conclusions, further monitoring and analysis studies will be conducted in the near future on a wider variety of VOC species such as oxygenated VOCs (OVOCs).
Collapse
Affiliation(s)
- Y Zou
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China; Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - X L Yan
- State Key Laboratory of Severe Weather & Institute of Tibetan Plateau Meteorology, Chinese Academy of Meteorological Sciences, Beijing, China
| | - R M Flores
- Marmara University, Department of Environmental Engineering, Istanbul, Turkey
| | - L Y Zhang
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - S P Yang
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - L Y Fan
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - T Deng
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - X J Deng
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - D Q Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
| |
Collapse
|
11
|
Chen S, Li W, Li W, Liu Z, Shi X, Zou Y, Liao W, Fan Q. Population genetics of Camellia granthamiana, an endangered plant species with extremely small populations in China. Front Genet 2023; 14:1252148. [PMID: 37867601 PMCID: PMC10585715 DOI: 10.3389/fgene.2023.1252148] [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: 07/03/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
Introduction: Camellia, the largest genus of Theaceae, is well-known for having high economic values. Camellia granthamiana demonstrates large beautiful flowers with some primitive characters, such as multiple large and persistent bracteoles and sepals, was listed as Vulnerable species on the IUCN Red List. Methods: In this study, we investigated all possible records of the species, and sampled four natural populations and five cultivated individuals. By applying shallow-genome sequencing for nine individuals and RAD-seq sequencing for all the sampled 77 individuals, we investigated population genetic diversity and population structure of the species. Results and discussion: The results showed that the population sampled from Fengkai, previously identified as C. albogigias, possessed different plastid genome from other species possibly due to plastid capture; the species possesses strong population structure possibly due to the effect of isolation by distance, habitat fragmentation, and self-crossing tendency of the species, whose effective population size declined quickly in the past 4,000 years. Nevertheless, C. granthamiana maintains a medium level of genetic diversity within population, and significant differentiation was observed among the four investigated populations, it is anticipated that more populations are expected to be found and all these extant populations should be taken into instant protection.
Collapse
Affiliation(s)
- Sufang Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Wenyan Li
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Wei Li
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Zhongcheng Liu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xianggang Shi
- School of Ecology, Sun Yat-sen University, Shenzhen, China
| | - Yanli Zou
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Shenzhen Academy of Environmental Sciences, Shenzhen, China
| | - Wenbo Liao
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Qiang Fan
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
12
|
Xie L, Cheng J, Zou Y, Wu ZG, Yan H. A Dynamic-Memory Event-Triggered Protocol to Multiarea Power Systems With Semi-Markov Jumping Parameter. IEEE Trans Cybern 2023; 53:6577-6587. [PMID: 36215350 DOI: 10.1109/tcyb.2022.3208363] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
This work deals with the dynamic-memory event-triggered-based load frequency control issue for interconnected multiarea power systems (IMAPSs) associated with random abrupt variations and deception attacks. To facilitate the transient faults, a semi-Markov process is addressed to model the dynamic behavior of IMAPSs. In order to modulate transmission frequency, a novel area-dependent dynamic-memory event-triggered protocol (DMETP) is scheduled by resorting to a set of the historically released packets (HRPs), which ensures better dynamic performance. From the viewpoint of the defender, the randomly occurring deception attack is taken into account, which is regulated by a Bernoulli-distributed scalar. Benefitting from the DMETP scheduling, a novel framework of the memory-based asynchronous control strategy is formulated, in which the hidden semi-Markov model is adopted to reveal the mode mismatches. Based on the Lyapunov theory, sufficient conditions are established to ensure the stochastic stability of the resulting systems. In the end, the simulation result is presented to reveal the efficiency of the proposed dynamic-memory event-triggered-based approach.
Collapse
|
13
|
Zou Y, Wang Y, Kong X, Chen T, Chen J, Li Y. Deep Learner System Based on Focal Color Retinal Fundus Images to Assist in Diagnosis. Diagnostics (Basel) 2023; 13:2985. [PMID: 37761352 PMCID: PMC10529281 DOI: 10.3390/diagnostics13182985] [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: 06/05/2023] [Revised: 08/31/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
Retinal diseases are a serious and widespread ophthalmic disease that seriously affects patients' vision and quality of life. With the aging of the population and the change in lifestyle, the incidence rate of retinal diseases has increased year by year. However, traditional diagnostic methods often require experienced doctors to analyze and judge fundus images, which carries the risk of subjectivity and misdiagnosis. This paper will analyze an intelligent medical system based on focal retinal image-aided diagnosis and use a convolutional neural network (CNN) to recognize, classify, and detect hard exudates (HEs) in fundus images (FIs). The research results indicate that under the same other conditions, the accuracy, recall, and precision of the system in diagnosing five types of patients with pathological changes under color retinal FIs range from 86.4% to 98.6%. Under conventional retinopathy FIs, the accuracy, recall, and accuracy of the system in diagnosing five types of patients ranged from 70.1% to 85%. The results show that the application of focus color retinal FIs in the intelligent medical system has high accuracy and reliability for the early detection and diagnosis of diabetic retinopathy and has important clinical applications.
Collapse
Affiliation(s)
- Yanli Zou
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510000, China;
- Department of Ophthalmology, Foshan Hospital Affiliated to Southern Medical University, Foshan 528000, China;
| | - Yujuan Wang
- Internal Medicine, Brookdale University Hospital Medical Center, New York, NY 11212, USA
| | - Xiangbin Kong
- Department of Ophthalmology, Foshan Hospital Affiliated to Southern Medical University, Foshan 528000, China;
| | - Tingting Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510000, China (J.C.)
| | - Jiangna Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510000, China (J.C.)
| | - Yiqun Li
- Department of Orthopedics, Foshan Hospital Affiliated to Southern Medical University, Foshan 528000, China
| |
Collapse
|
14
|
Carter-Searjeant S, Fairclough SM, Haigh SJ, Zou Y, Curry RJ, Taylor PN, Huang C, Fleck R, Machado P, Kirkland AI, Green MA. Nanoscale LiZnN - Luminescent Half-Heusler Quantum Dots. ACS Appl Opt Mater 2023; 1:1169-1173. [PMID: 37384133 PMCID: PMC10294247 DOI: 10.1021/acsaom.3c00065] [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] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/02/2023] [Accepted: 06/02/2023] [Indexed: 06/30/2023]
Abstract
Colloidal semiconductor quantum dots are a well-established technology, with numerous materials available either commercially or through the vast body of literature. The prevalent materials are cadmium-based and are unlikely to find general acceptance in most applications. While the III-V family of materials is a likely substitute, issues remain about its long-term suitability, and other earth-abundant materials are being explored. In this report, we highlight a nanoscale half-Heusler semiconductor, LiZnN, composed of readily available elements as a potential alternative system to luminescent II-VI and III-V nanoparticle quantum dots.
Collapse
Affiliation(s)
| | - S. M. Fairclough
- Department
of Physics, King’s College London, Strand, London WC2R 2LS, U.K.
| | - S. J. Haigh
- Department
of Materials, University of Manchester, Oxford Road, Manchester M19 9PL, U.K.
| | - Y. Zou
- Department
of Materials, University of Manchester, Oxford Road, Manchester M19 9PL, U.K.
| | - R. J. Curry
- Department
of Electrical and Electronic Engineering, Photon Science Institute, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
| | - P. N. Taylor
- Sharp
Life Science (EU) Ltd., The Hayakawa
Building, Edmund Halley Road, Oxford
Science Park, Oxford OX4 4GB, U.K.
| | - C. Huang
- Electron
Physical Sciences Imaging Centre, Diamond
Light Source, Harwell Science Innovation
Campus, Fermi Ave, Didcot OX110DE, U.K.
- Department
of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.
| | - R. Fleck
- Centre
for
Ultrastructural Imaging, King’s College
London, New Hunts House, Guys Campus, London SE1 1UL, U.K.
| | - P. Machado
- Centre
for
Ultrastructural Imaging, King’s College
London, New Hunts House, Guys Campus, London SE1 1UL, U.K.
| | - A. I. Kirkland
- Electron
Physical Sciences Imaging Centre, Diamond
Light Source, Harwell Science Innovation
Campus, Fermi Ave, Didcot OX110DE, U.K.
- Department
of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.
| | - M. A. Green
- Department
of Physics, King’s College London, Strand, London WC2R 2LS, U.K.
| |
Collapse
|
15
|
Gao YY, Jia YJ, Qi BQ, Zhang XY, Chen YM, Zou Y, Guo Y, Yang WY, Zhang L, Wang SC, Zhang RR, Liu TF, Song Z, Zhu XF, Chen XJ. [Genomics of next generation sequencing in pediatric B-acute lymphoblastic leukemia and its impact on minimal residual disease]. Zhonghua Er Ke Za Zhi 2023; 61:527-532. [PMID: 37312464 DOI: 10.3760/cma.j.cn112140-20230417-00278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To describe the gene mutation profile of newly diagnosed pediatric B-acute lymphoblastic leukemia (B-ALL) and analyze its effect on minimal residual disease (MRD). Methods: A total of 506 newly diagnosed B-ALL children treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences from September 2018 to July 2021 were enrolled in this retrospective cohort study. The enrolled children were divided into MRD ≥1.00% group and <1.00% group according to MRD results on the 19th day since chemotherapy, and MRD ≥0.01% group and <0.01% group according to MRD results on the 46th day. Clinical characteristics and gene mutations of two groups were compared. Comparisons between groups were performed with chi-square test or Fisher's exact test. Independent risk factors of MRD results on the 19th day and the 46th day were analyzed by Logistic regression model. Results: Among all 506 patients, there were 318 males and 188 females. On the 19th day, there were 114 patients in the MRD ≥1.00% group and 392 patients in the MRD <1.00% group. On the 46th day, there were 76 patients in the MRD ≥0.01% group and 430 patients in the MRD <0.01% group. A total of 187 gene mutations were detected in 487 (96.2%) of 506 children. The most common gene mutations were signal transduction-related KRAS gene mutations in 111 cases (22.8%) and NRAS gene mutations in 99 cases (20.3%). Multivariate analysis showed that PTPN11 (OR=1.92, 95%CI 1.00-3.63), KMT2A (OR=3.51, 95%CI 1.07-11.50) gene mutations and TEL-AML1 (OR=0.48, 95%CI 0.27-0.87), BCR-ABL1 (OR=0.27, 95%CI 0.08-0.92) fusion genes and age >10 years (OR=1.91, 95%CI 1.12-3.24) were independent influencing factors for MRD ≥1.00% on the 19th day. BCORL1 (OR=2.96, 95%CI 1.18-7.44), JAK2 (OR=2.99, 95%CI 1.07-8.42) and JAK3 (OR=4.83, 95%CI 1.50-15.60) gene mutations and TEL-AML1 (OR=0.43, 95%CI 0.21-0.87) fusion gene were independent influencing factors for MRD ≥0.01% on the 46th day. Conclusions: Children with B-ALL are prone to genetic mutations, with abnormalities in the RAS signaling pathway being the most common. Signal transduction related PTPN11, JAK2 and JAK3 gene mutations, epigenetic related KMT2A gene mutation and transcription factor related BCORL1 gene mutation are independent risk factors for MRD.
Collapse
Affiliation(s)
- Y Y Gao
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y J Jia
- Next Generation Sequencing Preparatory Group, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - B Q Qi
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X Y Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y M Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Zou
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Y Guo
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - W Y Yang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - L Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - S C Wang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - R R Zhang
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - T F Liu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Z Song
- Information and Resource Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X F Zhu
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - X J Chen
- Pediatric Blood Diseases Center, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| |
Collapse
|
16
|
Zou Y, Laothamatas K, Sonett J, Lemaitre P, Stanifer B, Magda G, Grewal H, Shah L, Robbins H, Patel S, Miller A, Anderson M, Costa J, D'Ovidio F, Arcasoy S, Benvenuto L. Effect of Age and Transplant Type on Survival and Hospital-Free Days in COPD Patients. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1462] [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: 04/05/2023] Open
|
17
|
Lou W, Zhang H, Luo H, Chen Z, Shi R, Guo X, Zou Y, Liu L, Brito LF, Guo G, Wang Y. Corrigendum to “Genetic analyses of blood β-hydroxybutyrate predicted from milk infrared spectra and its association with longevity and female reproductive traits in Holstein cattle” (J. Dairy Sci. 105:3269–3281). J Dairy Sci 2023; 106:3051. [PMID: 37003636 DOI: 10.3168/jds.2023-106-4-3051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Affiliation(s)
- W Lou
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - H Zhang
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - H Luo
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Z Chen
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - R Shi
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; Animal Breeding and Genomics Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, the Netherlands
| | - X Guo
- Center of Quantitative Genetics and Genomics, Aarhus University, Tjele, 8830, Denmark
| | - Y Zou
- Beijing Dairy Cattle Center, Beijing, 100192, China
| | - L Liu
- Beijing Dairy Cattle Center, Beijing, 100192, China
| | - L F Brito
- Department of Animal Science, Purdue University, West Lafayette, IN 47907
| | - G Guo
- Beijing Sunlon Livestock Development Company Limited, Beijing, 10029, China
| | - Y Wang
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| |
Collapse
|
18
|
Zhang Y, Wang Q, Zhu Z, Wang S, Tu S, Zhang Y, Zou Y, Liu Y, Liu C, Ren W, Zheng D, Zhao Y, Hu Y, Li L, Shi C, Ge S, Lin P, Xu F, Ma J, Wu X, Ma H, Wang Z, Bao J. Tracing the Origin of Genotype II African Swine Fever Virus in China by Genomic Epidemiology Analysis. Transbound Emerg Dis 2023. [DOI: 10.1155/2023/4820809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
The pandemic spread of African swine fever (ASF) has caused serious effects on the global pig industry. Virus genome sequencing and genomic epidemiology analysis play an important role in tracking the outbreaks of the disease and tracing the transmission of the virus. Here we obtained the full-length genome sequence of African swine fever virus (ASFV) in the first outbreak of ASF in China on August 3rd, 2018 and compared it with other published genotype II ASFV genomes including 9 genomes collected in China from September 2018 to October 2020. Phylogenetic analysis on genomic sequences revealed that genotype II ASFV has evolved into different genetic clusters with temporal and spatial correlation since being introduced into Europe and then Asia. There was a strong support for the monophyletic grouping of all the ASFV genome sequences from China and other Asian countries, which shared a common ancestor with those from the Central or Eastern Europe. An evolutionary rate of 1.312 × 10−5 nucleotide substitutions per site per year was estimated for genotype II ASFV genomes. Eight single nucleotide variations which located in MGF110-1L, MGF110-7L, MGF360-10L, MGF505-5R, MGF505-9R, K145R, NP419L, and I267L were identified as anchor mutations that defined genetic clusters of genotype II ASFV in Europe and Asia. This study expanded our knowledge of the molecular epidemiology of ASFV and provided valuable information for effective control of the disease.
Collapse
|
19
|
Zhang L, Zhang W, Wu X, Cui H, Yan P, Yang C, Zhao X, Xiao J, Xiao C, Tang M, Wang Y, Chen L, Liu Y, Zou Y, Zhang L, Yang Y, Yao Y, Li J, Liu Z, Yang C, Zhang B, Jiang X. A sex- and site-specific relationship between body mass index and osteoarthritis: evidence from observational and genetic analyses. Osteoarthritis Cartilage 2023; 31:819-828. [PMID: 36889626 DOI: 10.1016/j.joca.2023.02.073] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/18/2023] [Accepted: 02/22/2023] [Indexed: 03/10/2023]
Abstract
OBJECTIVE We primarily aimed to investigate whether there are phenotypic and genetic links underlying body mass index (BMI) and overall osteoarthritis (OA). We then intended to explore whether the relationships differ across sexes and sites. METHOD We first evaluated the phenotypic association between BMI and overall OA using data from the UK Biobank. We then investigated the genetic relationship leveraging summary statistics of the hitherto largest genome-wide association studies performed for BMI and overall OA. Finally, we repeated all analyses in a sex- (female, male) and site- (knee, hip, spine) specific manner. RESULTS Observational analysis suggested an increased hazard of diagnosed OA per 5 kg/m2 increment in BMI (hazard ratio = 1.38, 95% confidence interval (CI) = 1.37-1.39). A positive overall genetic correlation was observed for BMI and OA (rg = 0.43, P = 4.72 × 10-133), corroborated by 11 significant local signals. Cross-trait meta-analysis identified 34 pleiotropic loci shared between BMI and OA, of which seven were novel. Transcriptome-wide association study revealed 29 shared gene-tissue pairs, targeting nervous, digestive, and exo/endocrine systems. Mendelian randomization demonstrated a robust BMI-OA causal relationship (odds ratio = 1.47, 95% CI = 1.42-1.52). A similar pattern of effects was observed in sex- and site-specific analyses, with BMI affecting OA comparably in both sexes and most strongly in the knee. CONCLUSION Our work demonstrates an intrinsic relationship underlying BMI and overall OA, reflected by a pronounced phenotypic association, significant biological pleiotropy, and a putative causal link. Stratified analysis further reveals that the effects are distinct across sites and comparable across sexes.
Collapse
Affiliation(s)
- L Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - W Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - H Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - P Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - C Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - C Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - M Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Y Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - J Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - C Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - B Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - X Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
20
|
Chen B, Li M, Zhao H, Liao R, Lu J, Tu J, Zou Y, Teng X, Huang Y, Liu J, Huang P, Wu J. Effect of Multicomponent Intervention on Functional Decline in Chinese Older Adults: A Multicenter Randomized Clinical Trial. J Nutr Health Aging 2023; 27:1063-1075. [PMID: 37997729 DOI: 10.1007/s12603-023-2031-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/04/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES To confirm whether multicomponent exercise following vivifrail recommendations was an effective method for improving physical ability, cognitive function, gait, balance, and muscle strength in Chinese older adults. METHODS This was a multicenter and randomized clinical trial conducted in Jiangsu, China, from April 2021 to April 2022. Intervention lasted for 12 weeks and 104 older adults with functional declines were enrolled. All participants were randomly assigned to a control (usual care plus health education) or exercise group (usual care plus health education plus exercise). Primary outcomes were the change score of Short Physical Performance Battery (SPPB) and activities of daily living (ADL). The secondary outcomes included instrumental activities of daily living, Tinetti scores, Frailty score, short-form Mini Nutritional Assessment, Mini-Mental State Examination, Geriatric Depression Scale-15, the 12-item Short Form Survey, 4-meter gait speed test, 6-min walking distance, grip strength, and body composition analysis. RESULTS Among the participants, the average age was 85 (82, 88) years. After 12 weeks of follow-up, the exercise group showed a significant improvement in SPPB, with a change of 2 points (95% confidence interval [0, 3.5], P<0.001) compared to control. In contrast, SPPB remained stable in the control group. Compared to the control group, ADL improved in the exercise group, as did instrumental activities of daily living, Tinetti, Frailty, Short Form Survey, 4-meter gait speed test, and 6-min walking distance. Although there was no significant difference between groups in body composition analysis after post-intervention, the exercise group still improved in soft lean mass (P=0.002), fat-free mass (P=0.002), skeletal muscle mass index (P<0.001), fat-free mass index (P=0.004), appendicular skeletal muscle mass (P<0.001), and leg muscle mass (P<0.001), while the control group had no significant increase. No difference was observed in adverse events during trial period. CONCLUSIONS The multicomponent exercise intervention following vivifrail recommendations is an effective method for older adults with functional decline and can reverse the functional decline and improve gait, balance, and muscle strength. Additionally, the 12-week multicomponent exercise method provides guidance for Chinese medical professionals working in the field of geriatrics and is a promising method to improve physical function in the general population.
Collapse
Affiliation(s)
- B Chen
- Jianqing Wu, Jiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu 210029, P.R. China, Fax: 011-86-25-83780170, Telephone number: 011-86-25-68305103, Email address:
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
21
|
Lu L, Fei L, Ye Y, Liao M, Chang Y, Chen Y, Zou Y, Li X, Zhang R. Psychological Resilience May Be Related to Students' Responses to Victims of School Bullying: A Cross-Sectional Study of Chinese Grade 3-5 Primary School Students. Int J Environ Res Public Health 2022; 19:16121. [PMID: 36498195 PMCID: PMC9740964 DOI: 10.3390/ijerph192316121] [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] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/18/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND School bullying is a major public health problem with a large impact on children's health. There is an increasing number of cases of school bullying reported in China. Studies have shown that the health consequences of different ways of responding to school bullying may be quite different and that psychological resilience is also closely related to aggressive behaviors. However, there has been little research on whether individuals with different psychological resilience levels respond differently. OBJECTIVE To explore the relationship between responses to school bullying and psychological resilience, which may provide new ideas and strategies to better prevent and intervene in school bullying. METHODS A random sample of 5425 primary school students aged 7-14 years were recruited in Luzhou, China. All students completed a questionnaire anonymously. The statistical significance of differences between groups was tested using the χ2 test or t test. Binary logistic regression was conducted to explore the relationship between responses and psychological resilience. RESULTS Over two-thirds of primary school students in this study reported experiencing bullying in the past year. The rate of positive responses among victims was 69.10% (2596/3757, 95% CI: 67.62~70.58%). There was a positive relationship between psychological resilience and positive responses. This relationship was observed for all victims (OR = 1.605, 95% CI: 1.254~2.055), especially male victims (OR = 2.300, 95% CI: 1.624~3.259). CONCLUSIONS There was a positive relationship between primary school bullying responses and psychological resilience among victims, with differences by sex. Therefore, increasing students' level of psychological resilience, possibly by improving their responses, is important for preventing school bullying. Meanwhile, effective interventions for school bullying should be developed from multiple perspectives, particularly sex, bullying roles, and psychological resilience.
Collapse
Affiliation(s)
- Lu Lu
- School of Public Health, Southwest Medical University, Luzhou 646000, China
| | - Liping Fei
- School of Public Health, Southwest Medical University, Luzhou 646000, China
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100000, China
| | - Yunli Ye
- School of Public Health, Southwest Medical University, Luzhou 646000, China
| | - Maoxu Liao
- Information and Education Technology Center, Southwest Medical University, Luzhou 646000, China
| | - Yuhong Chang
- Luzhou Center for Disease Control and Prevention, Luzhou 646000, China
| | - Yiting Chen
- School of Public Health, Southwest Medical University, Luzhou 646000, China
| | - Yanli Zou
- School of Public Health, Southwest Medical University, Luzhou 646000, China
| | - Xin Li
- School of Public Health, Southwest Medical University, Luzhou 646000, China
| | - Rong Zhang
- School of Public Health, Southwest Medical University, Luzhou 646000, China
| |
Collapse
|
22
|
Ghaderpour A, Jeong J, Kim Y, Zou Y, Park K, Hong E, Koh Y, Seong S. 335 HY209, a GPCR19 agonist, ameliorates atopic dermatitis in mice. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.348] [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: 11/19/2022]
|
23
|
Huang Y, Li JH, Wang X, Zou Y, Huang WF, Liu C, Zhang H. [Susceptibility study on the germline rare variants of bromodomain and extraterminal domain protein family-encoding genes and patients with cancer living in some regions of China]. Zhonghua Yi Xue Za Zhi 2022; 102:3374-3381. [PMID: 36372767 DOI: 10.3760/cma.j.cn112137-20220620-01352] [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: 06/16/2023]
Abstract
Objective: To explore the relationship between germline rare variants of bromodomain and extraterminal domain (BET) protein family-encoding genes and susceptibility to cancer in some regions of China. Methods: Capturing probes were designed for bromodomain-containing protein 2 (BRD2), BRD3 and BRD4 genes, and Illumina high-throughput sequencing platform was used to conduct targeted sequencing of genomic DNA of peripheral blood leukocytes from 1 673 patients with cancer and 1 661 individuals without cancer recruited between October 2015 and July 2018 from Chinese PLA General Hospital, the Second Affiliated Hospital of Guangxi Medical University, People's Hospital of Macheng City, Hubei Province and Geneplus-Beijing Co. Ltd. Mutation detection and analysis were carried out according to the genome analysis toolkit (GATK) best practice guidelines, ANNOVAR and VEP software were used for annotation, and germline rare variants in BET family were screened. To determine potential pathogenic germline rare variants, clinical and experimental evidence was obtained from the ClinVar database and SIFT and Polyphen-2 softwares were used to predict pathogenicity. Fisher's exact test was used to compare the difference of the carrying rate of variants in the case group and the control group, and multivariate regression analysis was performed with the SKAT software with sex and age used as covariates. Results: Among the 1 673 cancer patients, 911 were males and 762 were females, with the mean age was (57.9±11.7) years. There were 1, 111 cases (66.4%) of lung cancer, 266 cases (15.9%) of colorectal cancer, 186 cases of breast cancer (11.1%), and 110 cases (6.6%) of esophagus or gastric cancer. In the same period 1, 661 non-tumor control individuals were recruited, including 821 males and 840 females, with the mean age was (44.5±13.9) years. It was observed that there were 4 potential pathogenic germline rare variants in BRD2 gene carried by 17 patients with cancer, 5 potential pathogenic germline rare variants in BRD3 gene and 8 potential pathogenic germline rare variants in BRD4 gene. The carrying rate of potential pathogenic germline rare variants in BRD2 gene in cancer patients was 1.02% (17/1 673), significantly higher than that in controls without cancer [0 (0/1 661); OR=+∞, 95%CI: 4.81-+∞, P<0.001]. The carrying rate of potential pathogenic germline rare variants in BRD3 gene in cancer patients was 0.24% (4/1 673), and the difference was not statistically significant compared with controls without cancer [0.12% (2/1 661); OR=1.99, 95%CI: 0.46-10.47, P=0.690]. The carrying rate of potential pathogenic germline rare variants in BRD4 gene in cancer patients was 0.18% (3/1 673), and the difference was not statistically significant compared with controls without cancer [0.36% (6/1 661); OR=0.50, 95%CI: 0.14-2.08, P=0.340]. Furthermore, the dataset of whole exome sequencing of Chinese individuals in "Huabiao Project" was used as an additional control, and the rate of carrying BRD2 rare variants in cancer patients was 17/3 346 (0.51%), significantly higher than that in controls without cancer [0.07% (3/4 154); OR=7.07, 95%CI: 2.32-22.83, P<0.001]. Among the 17 patients carrying 4 potentially pathogenic germline rare variants of BRD2 gene, 9 were patients with lung cancer, 6 were patients with colorectal cancer, 1 was patient with breast cancer, and 1 was patients with esophagus or gastric cancer. The carrying rate of potential pathogenic germline rare variants in BRD2 gene in lung cancer patients was 0.81 (9/1 111), significantly higher than that in controls without cancer [0(0/1 661); OR=+∞, 95%CI: 3.95-+∞,P<0.001]. The carrying rate of potential pathogenic germline rare variants in BRD2 gene in patients with colorectal cancer was 2.26% (6/266), significantly higher than that in controls without cancer [0(0/1 661); OR=+∞, 95%CI: 9.03-+∞, P<0.001]. Wilcoxon rank-sum test results showed that patients with colorectal cancer carrying BRD2 rare variants had an earlier age at diagnosis [(47.0±7.4) vs (57.2±12.1) years old, P=0.017]. Conclusions: BRD2 gene may be served as a candidate genetic susceptibility gene for lung cancer and colorectal cancer. Carrying BRD2 potential pathogenic germline rare variants is associated with higher risk of lung cancer and colorectal cancer, and with earlier age of colorectal cancer.
Collapse
Affiliation(s)
- Y Huang
- School of Basic Medicine, Anhui Medical University, Hefei 230032, China
| | - J H Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing 102206, China
| | - X Wang
- Department of Stomatology, the Third Medical Centre, Chinese PLA General Hospital, Beijng 100039, China
| | - Y Zou
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing 102206, China
| | - W F Huang
- Department of Oncology, the Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, China
| | - C Liu
- Department of Orthopedics, People's Hospital of Macheng City, Hubei Province, Macheng 438300, China
| | - Hongxing Zhang
- School of Basic Medicine, Anhui Medical University, Hefei 230032, China
| |
Collapse
|
24
|
Hu X, Zou Y, Copland DA, Schewitz-Bowers LP, Li Y, Lait PJ, Stimpson M, Zhang Z, Guo S, Liang J, Chen T, Li JJ, Yuan S, Li S, Zhou P, Liu Y, Dick AD, Wen X, Lee RW, Wei L. Epigenetic drug screen identified IOX1 as an inhibitor of Th17-mediated inflammation through targeting TET2. EBioMedicine 2022; 86:104333. [PMID: 36335665 PMCID: PMC9646865 DOI: 10.1016/j.ebiom.2022.104333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 10/14/2022] [Accepted: 10/16/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Targeting helper T cells, especially Th17 cells, has become a plausible therapy for many autoimmune diseases. METHODS Using an in vitro culture system, we screened an epigenetics compound library for inhibitors of IFN-γ and IL-17 expression in murine Th1 and Th17 cultures. FINDINGS This identified IOX1 as an effective suppressor of IL-17 expression in both murine and human CD4+ T cells. Furthermore, we found that IOX1 suppresses Il17a expression directly by targeting TET2 activity on its promoter in Th17 cells. Using established pre-clinical models of intraocular inflammation, treatment with IOX1 in vivo reduced the migration/infiltration of Th17 cells into the site of inflammation and tissue damage. INTERPRETATION These results provide evidence of the strong potential for IOX1 as a viable therapy for inflammatory diseases, in particular of the eye. FUNDING This study was supported by the National Key Research and Development Program of China 2021YFA1101200 (2021YFA1101204) to LW and XW; the National Natural Science Foundation of China 81900844 to XH and 82171041 to LW; the China Postdoctoral Science Foundation 2021M700776 and the Scientific Research Project of Guangdong Provincial Bureau of Traditional Chinese Medicine 20221373 to YZ; and the National Institute for Health Research (NIHR) Biomedical Research Centre at Moorfields Eye Hospital NHS (National Health Service) Foundation Trust and University College London Institute of Ophthalmology, UK (DAC, LPS, PJPL, MS, ADD and RWJL). The views expressed are those of the authors and not necessarily those of the NIHR or the UK's Department of Health and Social Care.
Collapse
Affiliation(s)
- Xiao Hu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China,Translational Health Sciences, University of Bristol, Bristol, UK
| | - Yanli Zou
- Experimental Research Center, Foshan Hospital Affiliated to Southern Medical University, Foshan, China
| | - David A. Copland
- Translational Health Sciences, University of Bristol, Bristol, UK
| | | | - Yan Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | | | | | - Zhihui Zhang
- Tianjin Medical University Eye Hospital, Eye Institute & School of Optometry and Ophthalmology, Tianjin 300384, China
| | - Shixin Guo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Juanran Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Tingting Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Jing Jing Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Sujing Yuan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shuo Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Penghui Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yizhi Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Andrew D. Dick
- Translational Health Sciences, University of Bristol, Bristol, UK,National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust, London, UK,UCL Institute of Ophthalmology, London, UK,University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Xiaofeng Wen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China,MingMed Biotechnology, Guangzhou, China,Corresponding author.
| | - Richard W.J. Lee
- Translational Health Sciences, University of Bristol, Bristol, UK,National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust, London, UK,UCL Institute of Ophthalmology, London, UK,University Hospitals Bristol NHS Foundation Trust, Bristol, UK,Corresponding author.
| | - Lai Wei
- MingMed Biotechnology, Guangzhou, China,Schoole of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China,Corresponding author.
| |
Collapse
|
25
|
Ng J, Chen L, Omelchenko Y, Zou Y, Lavraud B. Hybrid Simulations of the Cusp and Dayside Magnetosheath Dynamics Under Quasi-Radial Interplanetary Magnetic Fields. J Geophys Res Space Phys 2022; 127:e2022JA030359. [PMID: 36591323 PMCID: PMC9787681 DOI: 10.1029/2022ja030359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 06/17/2023]
Abstract
Under quasi-radial interplanetary magnetic fields (IMF), foreshock turbulence can have an impact on the magnetosheath and cusps depending on the location of the quasi-parallel shock. We perform three-dimensional simulations of Earth's dayside magnetosphere using the hybrid code HYPERS, and compare northward and southward quasi-radial IMF configurations. We study the magnetic field configuration, fluctuations in the magnetosheath and the plasma in the regions around the northern cusp. Under northward IMF with Earthward B x , there is a time-varying plasma depletion layer immediately outside the northern cusp. In the southward IMF case, the impact of foreshock turbulence and high-speed jets, together with magnetopause reconnection, can lead to strong density enhancements in the cusp.
Collapse
Affiliation(s)
- J. Ng
- Department of AstronomyUniversity of MarylandCollege ParkMDUSA
- NASA Goddard Space Flight CenterGreenbeltMDUSA
| | - L.‐J. Chen
- NASA Goddard Space Flight CenterGreenbeltMDUSA
| | - Y. Omelchenko
- Trinum Research IncSan DiegoCAUSA
- Space Science InstituteBoulderCOUSA
| | - Y. Zou
- Department of Space ScienceUniversity of Alabama in HuntsvilleHuntsvilleALUSA
| | - B. Lavraud
- Laboratoire d'astrophysique de BordeauxCNRSUniversity BordeauxPessacFrance
| |
Collapse
|
26
|
Wang L, Zou Y, Li S. [Analysis of the stressors and mental status of civil aviation pilots under the background of the major infectious disease]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:688-693. [PMID: 36229216 DOI: 10.3760/cma.j.cn121094-20210802-00381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To study the stressors and mental status of civil aviation pilots under the background of major infectious disease. Methods: From January to March 2021, a cluster sampling method was used to select 143 airline pilots in service as the research objects. The self-made emotion and stress source questionnaire, Chinese version of stress perception scale (CPSS) , self rating Anxiety Scale (SAS) and self rating Depression Scale (SDS) were used to investigate the airline pilot population. 136 valid questionnaires were collected, with an effective recovery rate of 95.1%. The measurement data conform to the normal distribution and are expressed by (x±s) . T-test and analysis of variance are used for comparison between groups, and Pearson correlation is used for correlation analysis. The data that do not conform to the normal distribution are expressed by the median and quartile [M (Q(1), Q(3)) ], and the non parametric test is used for the comparison between groups. Multiple linear stepwise regression was used to analyze the influencing factors of pressure perception. In addition, Amos 23.0 software was used to construct structural equation models of stress perception and negative emotions. Results: Under the background of the epidemic, the main sources of stress for civil aviation pilots are: the risk of possible reduction in income, the risk of contracting COVID-19, the pressure at work, and the risk of possible slow progress of upgrading. Among them, the first co pilot was more worried about the possible reduction of income than the instructor (P=0.009) ; The first co pilot and the captain of the airline were more worried about the possible slowdown of the upgrade progress than the instructor (P<0.001, P=0.014) . The mean pressure perception of pilots was higher than that of Chinese norm (t=3.11, P=0.002) . The standard scores of anxiety and depression were slightly higher than the standard scores of the Chinese norm under the non epidemic situation (t=7.00, 4.07, all P<0.001) . The results of multiple linear stepwise regression analysis showed that stress perception was negatively correlated with good family relations (t=-8.50, P=0.000) , and positively correlated with worries about slow progress of upgrading, COVID-19 infection, lack of interpersonal communication and income reduction (t=3.31、3.86、2.88、2.06, P<0.05) . Pressure perception was positively correlated with negative emotion (all P<0.001) . The results of structural equation model show that stress perception affects pilots' negative emotions directly or indirectly, and its standardized total effects on anxiety, depression, hypochondriac, fear, compulsion and irritability are 0.719, 0.811, 0.403, 0.355, 0.295 and 0.244 respectively. Conclusion: Public health emergencies have an impact on the mental status of pilots. Should pay attention to the stressors and psychological conditions of pilots in time, and consider formulating measures to relieve the stress of pilots.
Collapse
Affiliation(s)
- L Wang
- Civil Aviation University Of China, Graduate School, Tianjin 300300, China
| | - Y Zou
- Civil Aviation University Of China, School of Safety Science and Engineering, Tianjin 300300, China
| | - S Li
- Civil Aviation University Of China, Flight Academy, Tianjin 300300, China
| |
Collapse
|
27
|
Xu J, Zou Y, Tan Y, Yu Z. Chip Pad Inspection Method Based on an Improved YOLOv5 Algorithm. Sensors (Basel) 2022; 22:6685. [PMID: 36081144 PMCID: PMC9460593 DOI: 10.3390/s22176685] [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] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/28/2022] [Accepted: 08/31/2022] [Indexed: 06/15/2023]
Abstract
Chip pad inspection is of great practical importance for chip alignment inspection and correction. It is one of the key technologies for automated chip inspection in semiconductor manufacturing. When applying deep learning methods for chip pad inspection, the main problem to be solved is how to ensure the accuracy of small target pad detection and, at the same time, achieve a lightweight inspection model. The attention mechanism is widely used to improve the accuracy of small target detection by finding the attention region of the network. However, conventional attention mechanisms capture feature information locally, which makes it difficult to effectively improve the detection efficiency of small targets from complex backgrounds in target detection tasks. In this paper, an OCAM (Object Convolution Attention Module) attention module is proposed to build long-range dependencies between channel features and position features by constructing feature contextual relationships to enhance the correlation between features. By adding the OCAM attention module to the feature extraction layer of the YOLOv5 network, the detection performance of chip pads is effectively improved. In addition, a design guideline for the attention layer is proposed in the paper. The attention layer is adjusted by network scaling to avoid network characterization bottlenecks, balance network parameters, and network detection performance, and reduce the hardware device requirements for the improved YOLOv5 network in practical scenarios. Extensive experiments on chip pad datasets, VOC datasets, and COCO datasets show that the approach in this paper is more general and superior to several state-of-the-art methods.
Collapse
Affiliation(s)
- Jiangjie Xu
- School of Electronic and Information Engineering, Guangxi Normal University, Guilin 541000, China
- Robot Laboratory, Guangxi Normal University, Guilin 541000, China
| | - Yanli Zou
- School of Electronic and Information Engineering, Guangxi Normal University, Guilin 541000, China
- Robot Laboratory, Guangxi Normal University, Guilin 541000, China
| | - Yufei Tan
- School of Electronic and Information Engineering, Guangxi Normal University, Guilin 541000, China
- Robot Laboratory, Guangxi Normal University, Guilin 541000, China
| | - Zichun Yu
- School of Electronic and Information Engineering, Guangxi Normal University, Guilin 541000, China
- Robot Laboratory, Guangxi Normal University, Guilin 541000, China
| |
Collapse
|
28
|
Liu H, Zhao F, Chen J, Zou Y, Yu Y, Wang Y, Liu S, Tan H, Sa R, Xie J. Comparison of amino acid digestibility and its additivity determined with slaughter or cecectomy method for yellow-feather chicken. Poult Sci 2022; 101:102196. [PMID: 36272234 PMCID: PMC9579792 DOI: 10.1016/j.psj.2022.102196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 09/06/2022] [Accepted: 09/16/2022] [Indexed: 11/26/2022] Open
Abstract
The objective of this experiment was to compare the slaughter and cecectomy methods to determine amino acid (AA) digestibility of corn and soybean meal and their additivity in a corn-soybean meal diet. A completely randomized design was adopted to determine endogenous AA losses (EAAL) and AA digestibility in each of corn, soybean meal, and a corn-soybean meal diet using either slaughter or cecectomy methods. Each treatment contained 6 replicates with 3 chickens per replicate. The endogenous loss (EL) of histidine and glycine was lower and the EL of methionine and phenylalanine was greater when determined by slaughter vs. cecectomy (P < 0.05). The EL of arginine, isoleucine, leucine, lysine, methionine, phenylalanine, valine, alanine, aspartic acid, glutamic acid, and serine determined by slaughter were 1.2 to 3.2 times of those from cecectomy. The standard error (SE) of EL of 14 AA (excluding histidine and glycine) obtained by slaughter method was 2.1 to 9.6 times of those by cecectomy method. The apparent and standardized digestibility was not affected by methods for most AA except apparent digestibility of methionine, phenylalanine and glycine, and standardized digestibility of glycine in corn. The apparent and standardized digestibility of most AA except apparent digestibility of glycine and standardized digestibility of lysine, cysteine and glycine were less for slaughter versus cecectomy methods in soybean meal (P < 0.05). Using slaughter method resulted in reduced apparent digestibility of 15 AA (except glycine) and reduced standardized digestibility of 7 AA (arginine, isoleucine, leucine, valine, aspartic acid, glutamic acid, and proline) relative to cecectomy method (P < 0.05), but the standardized digestibility of glycine was greater when determined by slaughter vs. cecectomy methods in corn-soybean meal diet (P < 0.05). The mean value of SE of 16 AA digestibility in slaughter method was 2.9 times of that by cecectomy method. The apparent digestibility of 2 and 9 of 16 AA and the standardized digestibility of 15 and 7 of 16 AA were additive when using slaughter and cecectomy determinations, respectively. In conclusion, compared to the slaughter method, cecectomy method had less SE and EAAL but greater apparent digestibility of methionine and phenylalanine in corn, and the apparent digestibility of 15 AA (except glycine) in soybean meal and corn-soybean meal diet. Additivity in apparent and standardized AA digestibility was more inconsistent when determined with slaughter vs. cecectomy methods. These findings suggest that the cecectomy method is more suitable than the slaughter method to determine the digestibility of AA.
Collapse
|
29
|
Zou Y, Wu H, Zong SM, Xiao HJ. [Allergy in the pathogenesis of otitis media with effusion]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:1016-1022. [PMID: 36058674 DOI: 10.3760/cma.j.cn115330-20210611-00346] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Y Zou
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - H Wu
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - S M Zong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - H J Xiao
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| |
Collapse
|
30
|
Li B, Tian S, Kolbe L, Zou Y, Wang S. 503 Skin multi-omics data analysis reveals in the impact of life stress on skin. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.512] [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: 11/26/2022]
|
31
|
Wu H, Zou Y, Zong SM, Xiao HJ. [Research advances in cochlear blood-labyrinth barrier in stria vascularis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:769-773. [PMID: 35725327 DOI: 10.3760/cma.j.cn115330-20210710-00448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- H Wu
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Y Zou
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - S M Zong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - H J Xiao
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| |
Collapse
|
32
|
Ruan WC, Li J, Zhang YJ, Zheng SS, Wang D, Yu H, Chen JP, Bao YY, Shao L, Fu LL, Zou Y, Hua J, Li HF. [Investigate developmental coordination disorder of kindergarten children in Zhejiang Province]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:838-842. [PMID: 35785866 DOI: 10.3760/cma.j.cn112150-20210719-00691] [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: 06/15/2023]
Abstract
In order to investigate developmental coordination disorder (DCD) of kindergarten children in Zhejiang province, 200 ordinary kindergartens were randomly selected by stratified random sampling in 11 prefecture-level cities of Zhejiang Province, and 38 900 children from 1 000 classes in each grade were then randomly selected into the study from June 2019 to December 2019. The Little DCD Questionnaire and a self-designed questionnaire were used to screen the DCD of those children. There were 36 807 valid questionnaires, and 6.50% (2 391/36 807) of them were positive results. The results showed that boy, age ≤5 years, overweight or obesity, left handedness, comorbidity with motor or developmental disorders and premature infants were risk factors of DCD in children. As for parents and families, maternal gestational age<20 years, maternal overweight or obesity before pregnancy, low-middle level education of parents, direct family and low income of family were also associated with DCD in children. Therefore, it is necessary to conduct early prevention and intervention strategies targeting on identified risk factors among relevant population.
Collapse
Affiliation(s)
- W C Ruan
- Department of Rehabilitation, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - J Li
- Jiaxing Maternity and Child Health Care Hospital, Jiaxing 314050, China
| | - Y J Zhang
- The Second People's Hospital of Haining, Haining 314419, China
| | - S S Zheng
- Wenling Women's and Children's Hospital, Wenling 317599, China
| | - D Wang
- Yiwu Maternity and Children Hospital, Yiwu 322099, China
| | - H Yu
- Shaoxing Maternity and Child Health Care Hospital, Shaoxing 312099, China
| | - J P Chen
- The Women and Children Hospital of Dongyang, Dongyang 322199, China
| | - Y Y Bao
- Kindergarten of Hangzhou Normal University, Hangzhou 310012, China
| | - L Shao
- Jinhua Maternal and Child Health Care Hospital, Jinhua 321099, China
| | - L L Fu
- Pujiang Maternity and Child Health Care Hospital, Pujiang 322299, China
| | - Y Zou
- Zhejiang Center for Disease Control and Prevention, Hangzhou 310057, China
| | - J Hua
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 200040, China
| | - H F Li
- Department of Rehabilitation, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| |
Collapse
|
33
|
Chang L, zhang L, An W, wan Y, cai Y, Lan Y, Ruan M, liu X, Zou Y, Zhu X. P814: CLINICAL CHARACTERISTICS AND GENE MUTATION ANALYSIS OF 148 CHILDREN WITH FANCONI ANEMIA IN CHINA. Hemasphere 2022. [PMCID: PMC9431339 DOI: 10.1097/01.hs9.0000846140.75399.5d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
|
34
|
Zou Y. M015 Establishing and verifying a very rapid inductively coupled plasma-mass spectrometry method to determine iodine concentrations in amniotic fluid, breast milk and cerebrospinal fluid. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.306] [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: 11/03/2022]
|
35
|
Zou Y, Weishaupt L, Enger S. SP-0014 McMedHacks: Deep learning for medical image analysis workshops and Hackathon in radiation oncology. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03869-5] [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: 11/29/2022]
|
36
|
Cao J, Xu W, Liu Y, Zhang B, Zhang Y, Yu T, Huang T, Zou Y, Zhang B. Trends in maternal age and the relationship between advanced age and adverse pregnancy outcomes: a population-based register study in Wuhan, China, 2010–2017. Public Health 2022; 206:8-14. [DOI: 10.1016/j.puhe.2022.02.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 01/24/2022] [Accepted: 02/09/2022] [Indexed: 10/18/2022]
|
37
|
Zou Y. W160 Evaluation of the urine and serum iodine status in Tibet, China: A multicenter study. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.918] [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: 11/26/2022]
|
38
|
Honglei L, Wang D, Zou Y, Qiu L. M135 Source of variation evaluation of specific proteins in apparently healthy Tibetan Chinese adults: A multicenter cross-sectional study. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.017] [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: 11/24/2022]
|
39
|
Deng Y, Wang W, Zheng Q, Feng Y, Zou Y, Dong H, Tan Z, Zeng X, Zhao Y, Peng D, Yang X, Sun A. Menopausal hormone therapy: what are the problems in the perception of Chinese physicians? Climacteric 2022; 25:413-420. [PMID: 35438051 DOI: 10.1080/13697137.2022.2058391] [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] [Indexed: 11/03/2022]
Abstract
OBJECTIVE This study aimed to investigate Chinese physicians' perception and attitudes toward menopausal hormone therapy (MHT). METHODS This nationwide online survey was conducted in China. Physicians registered in the WeChat groups of the Gynecological Endocrinology Committee of China's Maternal and Child Health Care Association received a message invitation to complete this anonymous online survey from April 2020 to July 2020. Physicians' knowledge of and attitudes toward MHT were surveyed. RESULTS In total, 4672 questionnaires were submitted; only completed questionnaires could be submitted. The message was sent to 6021 doctors, so the response rate was 77.6%. Overall, 77.9-92.9% of physicians knew the common indications and contraindications to MHT. Additionally, 90.6%, 85.4%, 80.7% and 37.5% of physicians thought that MHT would increase the risk of venous thrombosis, breast cancer, endometrial cancer and weight gain, respectively. In total, 58.1% of the physicians mistakenly believed that a sex hormone test was one of the necessary examinations to reassess MHT prescription during follow-up visits. We found that 68.5% of physicians would consider using MHT themselves or recommend MHT to their partners in the future, and 11.4% were currently using MHT. CONCLUSIONS Most Chinese physicians have basic knowledge of MHT. Their misunderstandings about MHT mainly centered on the risks of endometrial cancer, weight gain and the necessary examinations during follow-up visits. These misunderstandings need to be clarified in future professional training programs.
Collapse
Affiliation(s)
- Y Deng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - W Wang
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Hebei, China
| | - Q Zheng
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Shandong, China
| | - Y Feng
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, JiangXi, China
| | - Y Zou
- Department of Obstetrics and Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Hunan, China
| | - H Dong
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Jinzhou, Liaoning, China
| | - Z Tan
- Department of Obstetrics and Gynecology, Xinhui Maternity and Children's Hospital, Guangxi, China
| | - X Zeng
- Department of Gynecology, Guangzhou Women and Children's Medical Centre, Guangdong, China
| | - Y Zhao
- Department of Obstetrics and Gynecology, Xinhui Maternity and Children's Hospital, Guangxi, China
| | - D Peng
- Department of Obstetrics and Gynecology, Zhongda Hospital Southeast Univeisity, Jiangsu, China
| | - X Yang
- Department of Obstetrics and Gynecology, Liuzhou Maternity and Child Healthcare Hospital, GuangXi, China
| | - A Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| |
Collapse
|
40
|
Hu X, Zou Y, Chen HJ, He X, Zhang HY. [Spindle cell hemangioma: a clinicopathological and molecular analysis of eight cases]. Zhonghua Bing Li Xue Za Zhi 2022; 51:196-201. [PMID: 35249281 DOI: 10.3760/cma.j.cn112151-20211102-00794] [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: 06/14/2023]
Abstract
Objective: To investigate the clinicopathological and genetic characteristics of spindle cell hemangioma (SCH). Methods: The clinical, morphological and immunohistochemical features of 8 SCHs diagnosed from January 2013 to September 2021 in West China Hospital, Sichuan University, Chengdu, China were retrospectively analyzed. Hotspot mutations for IDH1 codon 132 and IDH2 codon 172 were tested in 4 SCHs and 29 other non-SCH lesions using Sanger sequencing. Results: The 8 cases occurred in patients with a wide age range, from neonate to 46 years (mean 28 years, median 32 years). Both genders were equally affected. The course of the disease spanned from half a year to 31 years. Two SCHs were recurrent tumors. All tumors involved the distal extremities (4 of foot, 2 of ankle and 2 of hand). Six cases were presented as a single lesion and 2 cases as multiple lesions. The tumor diameters were 1-5 cm. All the 8 SCHs were typically composed of cavernous vascular space and solid components consisting of slit-like vessels, spindle cells and epithelioid endothelial cells which often exhibited cytoplasmic vacuolation. These two alternating components and the vacuolated epithelioid endothelial cells were the distinctive diagnostic clues for SCH. Vascular endothelial cells including epithelioid cells in the solid areas expressed CD31 (8/8), ERG (4/4), CD34 (5/8) and D2-40 (2/3). The spindle cells expressed SMA (8/8). Neither endothelial cells nor spindle cells expressed HHV8 (0/7), Desmin (0/5) or S-100 (0/3). Mutations were revealed in 2 SCHs, with IDH1 mutation (p.R132C) and IDH2 mutation (p.R172G), respectively. The IDH1/2 gene hotspot mutations were not found in the remaining 2 SCHs or the other 29 non-SCH lesions. Simple excisions were performed for 7 cases, and partial resection for 1 case. Follow-up information was obtained in 6 cases, with follow-up time ranging from 5 to 90 months (average, 46 months). No metastasis occurred in the 6 cases. No recurrence occurred in cases treated with simple excision. The residual lesions of the patient who received partial resection were stable. Conclusions: SCH is rare and should be differentiated from a variety of benign and malignant vascular lesions. An accurate diagnosis of SCH is clinically important and can be achieved by combining clinical information and typical pathological presentation. IDH1/2 gene hotspot mutations are specific to SCH in vascular lesions. Genetic detection is helpful in the diagnosis of challenging cases.
Collapse
Affiliation(s)
- X Hu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y Zou
- Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - H J Chen
- Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X He
- Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - H Y Zhang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, China
| |
Collapse
|
41
|
ZHAN Y, He X, Pu L, Zou Y, He Q, Hong D, Li G. POS-197 INVESTIGATION ON THE ACHIEVEMENT OF CKD-MBD SERUM INDICATORS OF HEMODIALYSIS PATIENTS IN SICHUAN PROVINCE. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.215] [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: 11/16/2022] Open
|
42
|
Wang S, Zhou C, Cai C, Zhu H, Wang N, Zou Y. Experimental research on convective heat transfer characteristics of molten salt in a pebble bed channel with internal heat source. Nuclear Engineering and Design 2022. [DOI: 10.1016/j.nucengdes.2021.111619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
43
|
Lou W, Zhang H, Luo H, Chen Z, Shi R, Guo X, Zou Y, Liu L, Brito LF, Guo G, Wang Y. Genetic analyses of blood β-hydroxybutyrate predicted from milk infrared spectra and its association with longevity and female reproductive traits in Holstein cattle. J Dairy Sci 2022; 105:3269-3281. [PMID: 35094854 DOI: 10.3168/jds.2021-20389] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 11/16/2021] [Indexed: 11/19/2022]
Abstract
Ketosis is one of the most prevalent and complex metabolic disorders in high-producing dairy cows and usually detected through analyses of β-hydroxybutyrate (BHB) concentration in blood. Our main objectives were to evaluate genetic parameters for blood BHB predicted based on Fourier-transform mid-infrared spectra from 5 to 305 d in milk, and estimate the genetic relationships of blood BHB with 7 reproduction traits and 6 longevity traits in Holstein cattle. Predicted blood BHB records of 11,609 Holstein cows (after quality control) were collected from 2016 to 2019 and used to derive 4 traits based on parity number, including predicted blood BHB in all parities (BHBp), parity 1 (BHB1), parity 2 (BHB2), and parity 3+ (BHB3). Single- and multitrait repeatability models were used for estimating genetic parameters for the 4 BHB traits. Random regression test-day models implemented via Bayesian inference were used to evaluate the daily genetic feature of BHB variability. In addition, genetic correlations were calculated for the 4 BHB traits with reproduction and longevity traits. The heritability estimates of BHBp, BHB1, BHB2, and BHB3 ranged from 0.100 ± 0.026 (± standard error) to 0.131 ± 0.023. The BHB in parities 1 to 3+ were highly genetically correlated and ranged from 0.788 (BHB1 and BHB2) to 0.911 (BHB1 and BHB3). The daily heritability of BHBp ranged from 0.069 to 0.195, higher for the early and lower for the later lactation periods. A similar trend was observed for BHB1, BHB2, and BHB3. There are low direct genetic correlations between BHBp and selected reproductive performance and longevity traits, which ranged from -0.168 ± 0.019 (BHBp and production life) to 0.157 ± 0.019 (BHBp and age at first calving) for the early lactation stage (5 to 65 d). These direct genetic correlations indicate that cows with higher BHBp (greater likelihood of having ketosis) in blood usually have shorter production life (-0.168 ± 0.019). Cows with higher fertility and postpartum recovery, such as younger age at first calving (0.157 ± 0.019) and shorter interval from calving to first insemination in heifer (0.111 ± 0.006), usually have lower BHB concentration in the blood. Furthermore, the direct genetic correlations change across parity and lactation stage. In general, our results suggest that selection for lower predicted BHB in early lactation could be an efficient strategy for reducing the incidence of ketosis as well as indirectly improving reproductive and longevity performance in Holstein cattle.
Collapse
Affiliation(s)
- W Lou
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - H Zhang
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - H Luo
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Z Chen
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - R Shi
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; Animal Breeding and Genomics Group, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, the Netherlands
| | - X Guo
- Center of Quantitative Genetics and Genomics, Aarhus University, Tjele, 8830, Denmark
| | - Y Zou
- Beijing Dairy Cattle Center, Beijing, 100192, China
| | - L Liu
- Beijing Dairy Cattle Center, Beijing, 100192, China
| | - L F Brito
- Department of Animal Science, Purdue University, West Lafayette, IN 47907
| | - G Guo
- Beijing Sunlon Livestock Development Company Limited, Beijing, 10029, China
| | - Y Wang
- National Engineering Laboratory of Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs (MARA); College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
| |
Collapse
|
44
|
Han Z, Meng L, Huang X, Tan J, Liu W, Chen W, Zou Y, Cai Y, Huang S, Chen A, Zhan T, Huang M, Chen X, Tian X, Zhu Q. Inhibition of p38 MAPK increases the sensitivity of 5-fluorouracil-resistant SW480 human colon cancer cells to noscapine. Oncol Lett 2022; 23:52. [PMID: 35035538 PMCID: PMC8756816 DOI: 10.3892/ol.2021.13170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 05/12/2021] [Indexed: 11/20/2022] Open
Abstract
A major cause of treatment failure in advanced colon cancer is resistance to chemotherapy. p38 mitogen-activated protein kinase (MAPK) has been associated with cellular apoptosis and plays an important role in multidrug resistance (MDR) in cancer cells. In the present study the effect of p38 MAPK on the sensitivity of 5-fluorouracil (5-FU)-resistant SW480 (SW480/5-FU) human colon cancer cells to noscapine was investigated. Following p38 MAPK interference, the inhibitory effect of noscapine on cell viability and proliferation was increased in the SW480/5-FU cells and there was also a decrease in the expression level of minichromosome maintenance proteins, recombinant Ki-67 and proliferating cell nuclear antigen. Inhibition of p38 MAPK also enhanced noscapine-induced G1-phase cell cycle arrest in the SW480/5-FU cells and there was also a decrease in the protein and mRNA expression level of cyclin D, cyclin E and cyclin-dependent kinase 2, and an increase in the expression level of P57. Furthermore, p38 MAPK interference increased noscapine-induced apoptosis of the SW480/5-FU cells and there was an increase in the protein and mRNA expression level of caspases-3 and 8 and Bax, and decreased Bcl-2 expression level. The sensitivity of the SW480/5-FU cells to noscapine was also increased following p38 MAPK interference, as demonstrated by MDR inhibition via decreased Akt activity and reduced protein expression level of the MDR proteins P-glycoprotein, multidrug resistance protein 1 and ATP-binding cassette G2. These observations indicated that inhibition of p38 MAPK increased the sensitivity of the SW480/5-FU cells to noscapine by suppressing proliferation, induction of cell cycle arrest and apoptosis, and reversal of MDR in the SW480/5-FU cells.
Collapse
Affiliation(s)
- Zheng Han
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Liu Meng
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Xiaodong Huang
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Jie Tan
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Weijie Liu
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Wei Chen
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Yanli Zou
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Yishan Cai
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Shasha Huang
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Aifang Chen
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Ting Zhan
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Min Huang
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Xiaoli Chen
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Xia Tian
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| | - Qingxi Zhu
- Department of Gastroenterology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, Hubei 430060, P.R. China
| |
Collapse
|
45
|
Luo Y, Ouyang X, Liu J, Cao L, Zou Y. An image encryption scheme based on particle swarm optimization algorithm and hyperchaotic system. Soft comput 2022. [DOI: 10.1007/s00500-021-06554-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
46
|
Zhang P, Zou Y, Song B, Zhou M, He J, Chen Y, Zhou Y, Xu X. Cuticular lipids and associated gene expression analysis under NaCl stress in Thellungiella salsuginea. Physiol Plant 2022; 174:e13625. [PMID: 35023161 DOI: 10.1111/ppl.13625] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/19/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
Cuticular lipids, including wax and cutin, protect plants against external environmental stress. The relationship between the cuticle properties and salt tolerance is not clear. In this article, photosynthetic and physiological characteristics related to water use and cuticle permeability were assessed in the leaves of Thellungiella salsuginea under NaCl stress. The chemical composition of wax and cutin monomers, and the expression of cuticle-associated genes were also analyzed. The results showed that the net photosynthetic rate and stomatal conductance in the leaves of T. salsuginea decreased, and the water use efficiency increased with increasing NaCl concentration. Salt stress caused a significant increase in total wax, but total cutin monomers only increased under high salt. Transcriptome sequencing and lipid metabolism pathway analysis were performed on rosette leaves of T. salsuginea after 24 h of NaCl treatment. We analyzed the expression of 42 genes involved in cuticle lipid metabolism, and found that most of them exhibited higher expression levels at 0.15 mol L-1 NaCl, but lower expression levels at 0.3 mol L-1 NaCl. The expression of 12 of these genes was further detected by qRT-PCR after 1 week of NaCl treatment: most of them were upregulated both under low and high NaCl stress. Hence, we speculate that the cuticle acts as an adaptive trait in T. salsuginea in salty environments.
Collapse
Affiliation(s)
- Pengyao Zhang
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Yanli Zou
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Buerbatu Song
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Minqi Zhou
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Junqing He
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Yuan Chen
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Yijun Zhou
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Xiaojing Xu
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| |
Collapse
|
47
|
Liang Q, Li J, Zou Y, Hu X, Deng X, Zou B, Liu Y, Wei L, Liang L, Wen X. Metagenomic Analysis Reveals the Heterogeneity of Conjunctival Microbiota Dysbiosis in Dry Eye Disease. Front Cell Dev Biol 2021; 9:731867. [PMID: 34900990 PMCID: PMC8657412 DOI: 10.3389/fcell.2021.731867] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 10/29/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Dry eye disease (DED) is a multifactorial inflammatory disease of the ocular surface. It is hypothesized that dysbiosis of the conjunctival microbiota contributes to the development of DED. However, species-level compositions of the conjunctival microbiota in DED and the potential dysbiosis involving microorganisms other than bacteria remain largely uncharacterized. Methods: We collected conjunctival impression samples from a cohort of 95 individuals, including 47 patients with DED and 48 healthy subjects. We examined the conjunctival microbiota of these samples using shotgun metagenomic sequencing and analyzed microbial dysbiosis in DED at the species level. Results: The conjunctival microbiota in DED exhibited a decreased α-diversity and an increased inter-individual variation. The α-diversity of female patients with DED was higher than that of male patients. Despite a decreased prevalence in DED, 23 microbial species were identified to show abnormally high abundance in DED samples positive for the species. Among these species, a fungal species Malassezia globosa was enriched female patients. In addition, distinct patterns of associations with disease status were observed for different species of the same genus. For DED subtypes, Staphylococcus aureus and S. capitis were associated with meibomian gland dysfunction (MGD), whereas S. hominis was enriched in patients solely with aqueous tear deficiency (ATD). The microbiota of patients with a mixed type of diagnosis was more similar to MGD patients than ATD patients. Conclusion: We demonstrated that the conjunctival microbiota dysbiosis in DED is characterized by significant heterogeneity. Microbial signatures may offer novel insights into the complicated etiology of DED and potentially promote the development of personalized treatment for DED in the future.
Collapse
Affiliation(s)
- Qiaoxing Liang
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Jing Li
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yanli Zou
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.,Department of Ophthalmology, Foshan Hospital Affiliated to Southern Medical University, Foshan, China
| | - Xiao Hu
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiuli Deng
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Bin Zou
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yu Liu
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Lai Wei
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Lingyi Liang
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaofeng Wen
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
48
|
Zou Y, Li JJ, Xue W, Kong X, Duan H, Li Y, Wei L. Epigenetic Modifications and Therapy in Uveitis. Front Cell Dev Biol 2021; 9:758240. [PMID: 34869347 PMCID: PMC8636745 DOI: 10.3389/fcell.2021.758240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/28/2021] [Indexed: 12/12/2022] Open
Abstract
Uveitis is a sight-threatening intraocular inflammation, and the exact pathogenesis of uveitis is not yet clear. Recent studies, including multiple genome-wide association studies (GWASs), have identified genetic variations associated with the onset and progression of different types of uveitis, such as Vogt–Koyanagi–Harada (VKH) disease and Behcet’s disease (BD). However, epigenetic regulation has been shown to play key roles in the immunoregulation of uveitis, and epigenetic therapies are promising treatments for intraocular inflammation. In this review, we summarize recent advances in identifying epigenetic programs that cooperate with the physiology of intraocular immune responses and the pathology of intraocular inflammation. These attempts to understand the epigenetic mechanisms of uveitis may provide hope for the future development of epigenetic therapies for these devastating intraocular inflammatory conditions.
Collapse
Affiliation(s)
- Yanli Zou
- Department of Ophthalmology, Affiliated Foshan Hospital, Southern Medical University, Foshan, China.,State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Jing Jing Li
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Wei Xue
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Xiangbin Kong
- Department of Ophthalmology, Affiliated Foshan Hospital, Southern Medical University, Foshan, China
| | - Hucheng Duan
- Department of Ophthalmology, Affiliated Foshan Hospital, Southern Medical University, Foshan, China
| | - Yiqun Li
- Department of Orthopaedics, Affiliated Foshan Hospital, Southern Medical University, Foshan, China
| | - Lai Wei
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
49
|
Zhao L, Zhang Y, Liu F, Yang H, Zhong Y, Wang Y, Li S, Su Q, Tang L, Bai L, Ren H, Zou Y, Wang S, Zheng S, Xu H, Li L, Zhang J, Chai Z, Cooper ME, Tong N. Urinary complement proteins and risk of end-stage renal disease: quantitative urinary proteomics in patients with type 2 diabetes and biopsy-proven diabetic nephropathy. J Endocrinol Invest 2021; 44:2709-2723. [PMID: 34043214 PMCID: PMC8572220 DOI: 10.1007/s40618-021-01596-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 05/18/2021] [Indexed: 02/05/2023]
Abstract
PURPOSE To investigate the association between urinary complement proteins and renal outcome in biopsy-proven diabetic nephropathy (DN). METHODS Untargeted proteomic and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional analyses and targeted proteomic analysis using parallel reaction-monitoring (PRM)-mass spectrometry was performed to determine the abundance of urinary complement proteins in healthy controls, type 2 diabetes mellitus (T2DM) patients, and patients with T2DM and biopsy-proven DN. The abundance of each urinary complement protein was individually included in Cox proportional hazards models for predicting progression to end-stage renal disease (ESRD). RESULTS Untargeted proteomic and functional analysis using the KEGG showed that differentially expressed urinary proteins were primarily associated with the complement and coagulation cascades. Subsequent urinary complement proteins quantification using PRM showed that urinary abundances of C3, C9, and complement factor H (CFAH) correlated negatively with annual estimated glomerular filtration rate (eGFR) decline, while urinary abundances of C5, decay-accelerating factor (DAF), and CD59 correlated positively with annual rate of eGFR decline. Furthermore, higher urinary abundance of CFAH and lower urinary abundance of DAF were independently associated with greater risk of progression to ESRD. Urinary abundance of CFAH and DAF had a larger area under the curve (AUC) than that of eGFR, proteinuria, or any pathological parameter. Moreover, the model that included CFAH or DAF had a larger AUC than that with only clinical or pathological parameters. CONCLUSION Urinary abundance of complement proteins was significantly associated with ESRD in patients with T2DM and biopsy-proven DN, indicating that therapeutically targeting the complement pathway may alleviate progression of DN.
Collapse
Affiliation(s)
- L Zhao
- Division of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Y Zhang
- Key Laboratory of Transplant Engineering and Immunology, MOH, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- West China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - F Liu
- Division of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
- Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
| | - H Yang
- Key Laboratory of Transplant Engineering and Immunology, MOH, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
- West China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
- Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
| | - Y Zhong
- Key Laboratory of Transplant Engineering and Immunology, MOH, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- West China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Y Wang
- Division of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - S Li
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Q Su
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - L Tang
- Histology and Imaging Platform, Core Facility of West China Hospital, Chengdu, Sichuan, China
| | - L Bai
- Histology and Imaging Platform, Core Facility of West China Hospital, Chengdu, Sichuan, China
| | - H Ren
- Division of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Y Zou
- Division of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Division of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - S Wang
- Key Laboratory of Transplant Engineering and Immunology, MOH, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- West China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - S Zheng
- Key Laboratory of Transplant Engineering and Immunology, MOH, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- West China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
- Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - H Xu
- Division of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - L Li
- Division of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - J Zhang
- Histology and Imaging Platform, Core Facility of West China Hospital, Chengdu, Sichuan, China
| | - Z Chai
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia
| | - M E Cooper
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia
| | - N Tong
- Division of Endocrinology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
50
|
Abstract
Recent advances have identified significant associations between the composition and function of the gut microbiota and various disorders in organ systems other than the digestive tract. Utilizing next-generation sequencing and multiomics approaches, the microbial community that possibly impacts ocular disease has been identified. This review provides an overview of the literature on approaches to microbiota analysis and the roles of commensal microbes in ophthalmic diseases, including autoimmune uveitis, age-related macular degeneration, glaucoma, and other ocular disorders. In addition, this review discusses the hypothesis of the "gut-eye axis" and evaluates the therapeutic potential of targeting commensal microbiota to alleviate ocular inflammation.
Collapse
Affiliation(s)
- Wei Xue
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Jing Jing Li
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Yanli Zou
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China.,Department of Ophthalmology, Affiliated Foshan Hospital, Southern Medical University, Foshan, China
| | - Bin Zou
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| | - Lai Wei
- State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|