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Wen H, Deng G, Shi X, Liu Z, Lin A, Cheng Q, Zhang J, Luo P. Body mass index, weight change, and cancer prognosis: a meta-analysis and systematic review of 73 cohort studies. ESMO Open 2024; 9:102241. [PMID: 38442453 PMCID: PMC10925937 DOI: 10.1016/j.esmoop.2024.102241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/19/2023] [Accepted: 01/09/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Identifying the association between body mass index (BMI) or weight change and cancer prognosis is essential for the development of effective cancer treatments. We aimed to assess the strength and validity of the evidence of the association between BMI or weight change and cancer prognosis by a systematic evaluation and meta-analysis of relevant cohort studies. METHODS We systematically searched the PubMed, Web of Science, EconLit, Embase, Food Sciences and Technology Abstracts, PsycINFO, and Cochrane databases for literature published up to July 2023. Inclusion criteria were cohort studies with BMI or weight change as an exposure factor, cancer as a diagnostic outcome, and data type as an unadjusted hazard ratio (HR) or headcount ratio. Random- or fixed-effects models were used to calculate the pooled HR along with the 95% confidence interval (CI). RESULTS Seventy-three cohort studies were included in the meta-analysis. Compared with normal weight, overweight or obesity was a risk factor for overall survival (OS) in patients with breast cancer (HR 1.37, 95% CI 1.22-1.53; P < 0.0001), while obesity was a protective factor for OS in patients with gastrointestinal tumors (HR 0.67, 95% CI 0.56-0.80; P < 0.0001) and lung cancer (HR 0.67, 95% CI 0.48-0.92; P = 0.01) compared with patients without obesity. Compared with normal weight, underweight was a risk factor for OS in patients with breast cancer (HR 1.15, 95% CI 0.98-1.35; P = 0.08), gastrointestinal tumors (HR 1.54, 95% CI 1.32-1.80; P < 0.0001), and lung cancer (HR 1.28, 95% CI 1.22-1.35; P < 0.0001). Compared with nonweight change, weight loss was a risk factor for OS in patients with gastrointestinal cancer. CONCLUSIONS Based on the results of the meta-analysis, we concluded that BMI, weight change, and tumor prognosis were significantly correlated. These findings may provide a more reliable argument for the development of more effective oncology treatment protocols.
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Affiliation(s)
- H Wen
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong
| | - G Deng
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong; The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong
| | - X Shi
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong
| | - Z Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing; Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - A Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong.
| | - Q Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, China.
| | - J Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong.
| | - P Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong.
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Yu X, Liu X, Tan W, Wang X, Zheng X, Huang Y, Chen J, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Chen R, Long L, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Sheng J, Li H, Shi Y. The clinical courses of HBV-related acute-on-chronic liver failure and a multi-state model to predict disease evolution. Hepatol Commun 2024; 8:e0354. [PMID: 38180960 PMCID: PMC10781128 DOI: 10.1097/hc9.0000000000000354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/30/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND AND AIMS Acute-on-chronic liver failure (ACLF) is a highly dynamic syndrome. The objective of this study was to delineate the clinical course of patients with HBV-ACLF and to develop a model to estimate the temporal evolution of disease severity. METHODS We enrolled eligible patients from 2 large, multicenter prospective cohorts. The ACLF grade, organ failures, and outcomes were assessed at multiple time points (days 1/4/7/14/21/28). Probabilities for ACLF transitions between these disease states and to death within 28 days were calculated using a multi-state model that used baseline information and updated ACLF status. The model was validated in independent patients. RESULTS Among all the 445 patients with HBV-ACLF, 76 represented disease progression, 195 had a stable or fluctuating course, 8 with improvement, and the remaining 166 with resolution within 28-day follow-up. New coagulation (63.64%) or renal failure (45.45%) was frequently observed during early progression. Patients with disease progression had a higher incidence of new episodes of ascites [10 (13.16%) vs. 22 (5.96%), p = 0.027] and HE [13(17.11%) vs. 21 (5.69%), p = 0.001], and a significant increase in white blood cell count. The multi-state model represented dynamic areas under the receiver operating characteristic curves ranging from 0.71 to 0.84 for predicting all ACLF states and death at 4, 7, 14, 21, and 28 days post-enrollment and from 0.73 to 0.94 for predicting death alone, performing better than traditional prognostic scores. CONCLUSIONS HBV-ACLF is a highly dynamic syndrome with reversibility. The multi-state model is a tool to estimate the temporal evolution of disease severity, which may inform clinical decisions on treatment.
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Affiliation(s)
- Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xinxin Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaobo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People’s Hospital, Tianjin, China
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Disease, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Deparment of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Yin
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenyi Gu
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hai Li
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Zhang Y, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Yan H, Zheng Y, Zhang W, Gu W, Qiao L, Deng G, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Duan L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Cheng X, Guo L, Li H. Metabolic biomarkers significantly enhance the prediction of HBV-related ACLF occurrence and outcomes. J Hepatol 2023; 79:1159-1171. [PMID: 37517452 DOI: 10.1016/j.jhep.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/16/2023] [Accepted: 07/11/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND & AIMS Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality in patients with chronic liver disease. Chronic hepatitis B is the main cause of ACLF (HBV-ACLF) in China and other Asian countries. To improve disease management and survival for patients with ACLF, we aimed to discover novel biomarkers to enhance HBV-ACLF diagnosis and prognostication. METHODS We performed a metabolomics profiling of 1,024 plasma samples collected from patients with HBV-related chronic liver disease with acute exacerbation at hospital admission in a multi-year and multi-center prospective study (367 ACLF and 657 non-ACLF). The samples were randomly separated into equal halves as a discovery set and a validation set. We identified metabolites associated with 90-day mortality in the ACLF group and the progression to ACLF within 28 days in the non-ACLF group (pre-ACLF) using statistical analysis and machine learning. We developed diagnostic algorithms in the discovery set and used these to assess the findings in the validation set. RESULTS ACLF significantly altered the plasma metabolome, particularly in membrane lipid metabolism, steroid hormones, oxidative stress pathways, and energy metabolism. Numerous metabolites were significantly associated with 90-day mortality in the ACLF group and/or pre-ACLF in the non-ACLF group. We developed algorithms for the prediction of 90-day mortality in patients with ACLF (area under the curve 0.87 and 0.83 for the discovery set and validation set, respectively) and the diagnosis of pre-ACLF (area under the curve 0.94 and 0.88 for the discovery set and validation set, respectively). To translate our discoveries into practical clinical tests, we developed targeted assays using liquid chromatography-mass spectrometry. CONCLUSIONS Based on novel metabolite biomarkers, we established tests for HBV-related ACLF with higher accuracy than existing methods. CLINICAL TRIAL NUMBER NCT02457637 and NCT03641872. IMPACT AND IMPLICATIONS Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality affecting 25% of patients hospitalized with cirrhosis. Chronic hepatitis B is the main etiology of ACLF in China and other Asian counties. There is currently no effective therapy. Early diagnosis and accurate prognostication are critical for improving clinical outcomes in patients with ACLF. Based on novel metabolite biomarkers, we developed liquid chromatography-mass spectrometry tests with improved accuracy for the early diagnosis and prognostication of HBV-related ACLF. The liquid chromatography-mass spectrometry tests can be implemented in clinical labs and used by physicians to triage patients with HBV-related ACLF to ensure optimized clinical management.
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Affiliation(s)
- Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China; Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China; National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Huadong Yan
- Infectious Disease Department, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Deparment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou City, 510630, PR China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lihua Duan
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China; National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Xiaoliang Cheng
- Jiangsu Qlife Medical Technology Group Co., Ltd, Nanjin Pinsheng Medical Technology Co., Ltd, Nanjing, China
| | - Lining Guo
- Precion Inc., Morrisville, North Carolina, USA.
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China; Department of Gastroenterology, Punan Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Hirata H, Hinoda Y, Shahryari V, Deng G, Tanaka Y, Tabatabai ZL, Dahiya R. Editorial Expression of Concern: Genistein downregulates onco-miR-1260b and upregulates sFRP1 and Smad4 via demethylation and histone modification in prostate cancer cells. Br J Cancer 2023; 129:735. [PMID: 37507546 PMCID: PMC10421853 DOI: 10.1038/s41416-023-02365-0] [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: 07/30/2023] Open
Affiliation(s)
- H Hirata
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - Y Hinoda
- Department of Oncology and Laboratory Medicine, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - V Shahryari
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - G Deng
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - Y Tanaka
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - Z L Tabatabai
- Department of Pathology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - R Dahiya
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA.
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Ren H, Li H, Deng G, Wang X, Zheng X, Huang Y, Chen J, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Wang S, Yin S, Tan W, Hou Y, Xiong S, Long L, Li B, Luo S, Zhang W, Shi Y. Severe anemia is associated with increased short-term and long-term mortality in patients hospitalized with cirrhosis. Ann Hepatol 2023; 28:101147. [PMID: 37643717 DOI: 10.1016/j.aohep.2023.101147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/20/2023] [Accepted: 07/21/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION AND OBJECTIVES The relationship between anemia and the outcome of patients with cirrhosis is not completely clear. Therefore, we performed this large-scale epidemiological study to investigate the prevalence and severity of anemia in patients with cirrhosis and acute decompensation or liver injury and how anemia impacts short-term and long-term outcomes. PATIENTS AND METHODS Patients with cirrhosis and acute decompensation (AD) or acute liver injury (ALI) were enrolled in the Chinese AcuTe on CHronic LIver FailurE (CATCH-LIFE) studies, which consisted of two large, multicenter, prospective, observational cohorts between January 2015 and December 2016 and July 2018 and January 2019. We conducted data analysis on the prevalence of anemia and determined the relationship between anemia and prognosis. RESULTS Among 1979 patients, 1389 (70.2%) had anemia, among whom 599 (41.3%) had mild anemia, 595 (15.8%) had moderate anemia and 195 (2.4%) had severe anemia. A linear association between hemoglobin level and 90-day or 1-year LT-free mortality was shown, and a 10 g/L decrease in hemoglobin level was associated with a 6.8% extra risk of 90-day death and a 5.7% extra risk of 1-year death. Severe anemia was an independent risk factor for 90-day [HR=1.649 (1.100, 2.473), p=0.016] and 1-year LT-free mortality [HR=1.610 (1.159, 2.238), p=0.005]. Multinomial logistic regression analysis further identified that severe anemia was significantly associated with post-28-day mortality but not within-28-day mortality. CONCLUSIONS Anemia is common in patients with cirrhosis admitted for acute events. Severe anemia was associated with poor 90-day and 1-year prognoses in these patients.
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Affiliation(s)
- Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Hunan, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Hubei, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Henan, China
| | - Shaoyang Wang
- Department of Infectious Diseases, Fuzhou General Hospital of Nanjing Military Command, Fujian, China
| | - Shan Yin
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China
| | - Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Hunan, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Hubei, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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6
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Tang X, Li H, Deng G, Zheng X, Wang X, Huang Y, Gao Y, Meng Z, Qian Z, Liu F, Lu X, Shi Y, Li B, Gu W, Xiang X, Xiong Y, Hou Y, Chen J, Gao N, Luo S, Ji L, Li J, Zheng R, Ren H, Chen J. New Algorithm Rules Out Acute-on-chronic Liver Failure Development within 28 Days from Acute Decompensation of Cirrhosis. J Clin Transl Hepatol 2023; 11:550-559. [PMID: 36969896 PMCID: PMC10037523 DOI: 10.14218/jcth.2022.00196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/27/2022] [Accepted: 07/16/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND AND AIMS Approximately 10% of patients with acute decompensated (AD) cirrhosis develop acute-on-chronic liver failure (ACLF) within 28 days. Such cases have high mortality and are difficult to predict. Therefore, we aimed to establish and validate an algorithm to identify these patients on hospitalization. METHODS Hospitalized patients with AD who developed ACLF within 28 days were considered pre-ACLF. Organ dysfunction was defined according to the chronic liver failure-sequential organ failure assessment (CLIF-SOFA) criteria, and proven bacterial infection was taken to indicate immune system dysfunction. A retrospective multicenter cohort and prospective one were used to derive and to validate the potential algorithm, respectively. A miss rate of <5% was acceptable for the calculating algorithm to rule out pre-ACLF. RESULTS In the derivation cohort (n=673), 46 patients developed ACLF within 28 days. Serum total bilirubin, creatinine, international normalized ratio, and present proven bacterial infection at admission were associated with the development of ACLF. AD patients with ≥2 organ dysfunctions had a higher risk for pre-ACLF patients [odds ratio=16.581 95% confidence interval: (4.271-64.363), p<0.001]. In the derivation cohort, 67.5% of patients (454/673) had ≤1 organ dysfunction and two patients (0.4%) were pre-ACLF, with a miss rate of 4.3% (missed/total, 2/46). In the validation cohort, 65.9% of patients (914/1388) had ≤1 organ dysfunction, and four (0.3%) of them were pre-ACLF, with a miss rate of 3.4% (missed/total, 4/117). CONCLUSIONS AD patients with ≤1 organ dysfunction had a significantly lower risk of developing ACLF within 28 days of admission and could be safely ruled out with a pre-ACLF miss rate of <5%.
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Affiliation(s)
- Xiaoting Tang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China
- National Clinical Research Center of Infectious Disease, Hangzhou, Zhejiang, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China
- National Clinical Research Center of Infectious Disease, Hangzhou, Zhejiang, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Correspondence to: Jinjun Chen, Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. ORCID: https://orcid.org/0000-0003-4275-9149. Tex/Fax: +86-20-62787423, E-mail:
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Zhang S, Liu X, Deng G, Ou J, Yang E, Yang S, Li T. Longitudinal and Lateral Control Strategies for Automatic Lane Change to Avoid Collision in Vehicle High-Speed Driving. Sensors (Basel) 2023; 23:s23115301. [PMID: 37300028 DOI: 10.3390/s23115301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
The vehicle particle model was built to compare and analyze the effectiveness of three different collision avoidance methods. The results show that during vehicle high-speed emergency collision avoidance, lane change collision avoidance requires a smaller longitudinal distance than braking collision avoidance and is closer to that with a combination of lane change and braking collision avoidance. Based on the above, a double-layer control strategy is proposed to avoid collision when vehicles change lanes at high speed. The quintic polynomial is chosen as the reference path after comparing and analyzing three polynomial reference trajectories. The multiobjective optimized model predictive control is used to track the lateral displacement, and the optimization objective is to minimize the lateral position deviation, yaw rate tracking deviation, and control increment. The lower longitudinal speed tracking control strategy is to control the vehicle drive system and brake system to track the expected speed. Finally, the lane changing conditions and other speed conditions of the vehicle at 120 km/h are verified. The results show that the control strategy can track the longitudinal and lateral trajectories well and achieve effective lane change and collision avoidance.
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Affiliation(s)
- Senlin Zhang
- Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 401320, China
- Chongqing Tsingshan Industrial, Chongqing 402760, China
| | - Xinyong Liu
- Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 401320, China
| | - Guohong Deng
- Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 401320, China
| | - Jian Ou
- Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 401320, China
| | - Echuan Yang
- School of Mechanical Engineering, Chongqing University of Technology, Chongqing 401320, China
| | - Shusong Yang
- Chongqing Tsingshan Industrial, Chongqing 402760, China
| | - Tao Li
- Chongqing Tsingshan Industrial, Chongqing 402760, China
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8
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Zou J, Li H, Deng G, Wang X, Zheng X, Chen J, Meng Z, Zheng Y, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Huang Y, Chen R. A novel prognostic nomogram for older patients with acute-on-chronic liver diseases (AoCLD): a nationwide, multicentre, prospective cohort study. Age Ageing 2023; 52:6974854. [PMID: 36626326 PMCID: PMC9831261 DOI: 10.1093/ageing/afac313] [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: 07/04/2022] [Revised: 11/03/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND the incidence of acute-on-chronic liver disease (AoCLD) is increasing. OBJECTIVE to investigate the clinical features and risk factors of AoCLD and construct an effective prognostic nomogram model for older patients with AoCLD. METHODS data from 3,970 patients included in the CATCH-LIFE study were used, including 2,600 and 1,370 patients in the training and validation sets, respectively. Multivariate Cox regression analyses were performed to identify predictive risk factors in older individuals, and an easy-to-use nomogram was established. Performance was assessed using area under the curve, calibration plots and decision curve analysis (DCA). RESULTS of the 3,949 patients with AoCLD, 809 were older with a higher proportion of autoimmune-related abnormalities, hepatitis C viral infection and schistosomiasis. In the older patient group, the incidence of cirrhosis, hepatic encephalopathy (HE), infection, ascites and gastrointestinal bleeding; neutrophil-to-lymphocyte ratio (NLR), aspartate-to-alanine transaminase ratio (AST/ALT), creatinine and blood urea nitrogen levels were higher, whereas incidence of acute-on-chronic liver failure, white blood cell, platelet and haemoglobin levels; albumin, total bilirubin (TB), AST and ALT levels; international normalised ratio (INR), estimated glomerular filtration rate and blood potassium levels were lower than in the younger group. The final nomogram was developed based on the multivariate Cox analysis in training cohort using six risk factors: ascites, HE grades, NLR, TB, INR and AST/ALT. Liver transplantation-free mortality predictions were comparable between the training and validation sets. DCA showed higher net benefit for the nomograph than the treat-all or treat-none strategies, with wider threshold probabilities ranges. CONCLUSIONS our analysis will assist clinical predictions and prognoses in older patients with AoCLD.
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Affiliation(s)
| | | | | | | | | | | | - Zhongji Meng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yubao Zheng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanhang Gao
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Yu Shi
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Yan Huang
- Address correspondence to: Ruochan Chen, Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China. ; Yan Huang, Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China.
| | - Ruochan Chen
- Address correspondence to: Ruochan Chen, Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China. ; Yan Huang, Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China.
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9
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Ouyang R, Li H, Tan W, Wang X, Zheng X, Huang Y, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Liu J, Deng G, Zheng Y, Yan H, Jiang X, Zhang Y, Qiao L, Zhou Y, Hou Y, Xiong Y, Chen J, Luo S, Gao N, Ji L, Li J, Zheng R, Ren H, Wang H, Zhong G, Li B, Chen J. Portal vein thrombosis compromises the performance of MELD and MELD-Na scores in patients with cirrhosis. J Gastroenterol Hepatol 2023; 38:129-137. [PMID: 36345143 DOI: 10.1111/jgh.16053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 10/24/2022] [Accepted: 11/01/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND AND AIMS The accuracy of model for end-stage liver disease (MELD) and MELD with sodium (MELD-Na) scores in reflecting the clinical outcomes of patients with cirrhosis and portal vein thrombosis (PVT) remains unclear. This study aimed to evaluate the performance of scores in predicting 90-day mortality in patients with cirrhosis and PVT. METHODS Post hoc analysis was performed in two prospective cohorts (NCT02457637 and NCT03641872). The correlation between the MELD/MELD-Na score and 90-day liver transplantation (LT)-free mortality was investigated in patients with cirrhosis with and without PVT. RESULTS In this study, 2826 patients with cirrhosis were included, and 255 (9.02%) had PVT. The cumulative incidence of 90-day LT-free mortality did not significantly differ between patients with and without PVT (log-rank P = 0.0854). MELD [area under the receiver operating curve (AUROC), 0.649 vs. 0.842; P = 0.0036] and MELD-Na scores (AUROC, 0.691 vs. 0.851; P = 0.0108) were compared in patients with and without PVT, regarding the prediction of 90-day LT-free mortality. In MELD < 15 and MELD-Na < 20 subgroups, patients with PVT had a higher 90-day LT-free mortality than those without PVT (7.91% vs. 2.64%, log-rank P = 0.0011; 7.14% vs. 3.43%, log-rank P = 0.0223), whereas in MELD ≥ 15 and MELD-Na ≥ 20 subgroups, no significant difference was observed between patients with and without PVT. CONCLUSIONS The performance of MELD and MELD-Na scores in predicting 90-day LT-free mortality of patients with cirrhosis was compromised by PVT. MELD < 15 or MELD-Na < 20 may underestimate the 90-day LT-free mortality in patients with PVT.
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Affiliation(s)
- Renjie Ouyang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Department of Hepatology, Chenzhou No.1 People's Hospital, Chenzhou, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Department of Infectious Diseases, Shulan Hospital Affiliated to Zhejiang, Shuren University, Shulan International Medical College, Hangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haiyu Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guotao Zhong
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
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10
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Yu X, Li H, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Chen R, Long L, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Sheng J, Shi Y. Prognosis prediction performs better in patients with non-cirrhosis hepatitis B virus-related acute-on-chronic liver failure than those with cirrhosis. Front Microbiol 2022; 13:1013439. [PMID: 36569093 PMCID: PMC9780594 DOI: 10.3389/fmicb.2022.1013439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/18/2022] [Indexed: 12/13/2022] Open
Abstract
Background The accurate prediction of the outcome of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is impeded by population heterogeneity. The study aimed to assess the impact of underlying cirrhosis on the performance of clinical prediction models (CPMs). Methods Using data from two multicenter, prospective cohorts of patients with HBV-ACLF, the discrimination, calibration, and clinical benefit were assessed for CPMs predicting 28-day and 90-day outcomes in patients with cirrhosis and those without, respectively. Results A total of 919 patients with HBV-ACLF were identified by Chinese Group on the Study of Severe Hepatitis B (COSSH) criteria, including 675 with cirrhosis and 244 without. COSSH-ACLF IIs, COSSH-ACLFs, Chronic Liver Failure-Consortium Acute-on-Chronic Liver Failure score (CLIF-C ACLFs), Tongji Prognostic Predictor Model score (TPPMs), Model for End-Stage Liver Disease score (MELDs), and MELD-Sodium score (MELD-Nas) were all strong predictors of short-term mortality in patients with HBV-ACLF. In contrast to a high model discriminative capacity in ACLF without cirrhosis, each prognostic model represents a marked decline of C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) in predicting either 28-day or 90-day prognosis of patients with cirrhosis. The hazard analysis identified largely overlapping risk factors of poor outcomes in both subgroups, while serum bilirubin was specifically associated with short-term mortality in patients with cirrhosis and blood urea nitrogen in patients without cirrhosis. A subgroup analysis in patients with cirrhosis showed a decline of discrimination of CPMS in those with ascites or infections compared to that in those without. Conclusion Predicting the short-term outcome of HBV-ACLF by CPMs is optimal in patients without cirrhosis but limited in those with cirrhosis, at least partially due to the complicated ascites or infections.
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Affiliation(s)
- Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hai Li
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People’s Hospital, Tianjin, China,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Diseases, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Yin
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China,*Correspondence: Jifang Sheng,
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China,Yu Shi,
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11
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Qi T, Zhu C, Wang J, Li B, Huang Z, Zhu Z, Tu M, Deng G, Zheng X, Huang Y, Meng Z, Wang X, Qian Z, Li H, Gao Y, Liu F, Shang J, Shi Y, Lu X, Wang S, Li H, Chen J. MELD score < 18 rule out 28-day ACLF development among inpatients with hepatitis B-related previous compensated liver disease. J Viral Hepat 2022; 29:1089-1098. [PMID: 36081337 DOI: 10.1111/jvh.13747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 08/03/2022] [Accepted: 08/24/2022] [Indexed: 12/29/2022]
Abstract
The acute-on-chronic liver failure (ACLF) development is highly dynamic. Currently, no satisfactory algorithm identifies patients with HBV at risk of this complication. The aim of the study was to characterize ACLF development in hospitalized HBV-related patients without previous decompensation and to test the performance of traditional prognostic models in ruling out ACLF development within 28 days on admission we conducted a cohort study. Two multi-center cohorts with hospitalized HBV-related previous compensated patients were analyzed. Performances of MELD, MELD-Na, CLIF-C AD, and CLIF-C ACLF-D in ruling out ACLF development within 28 days were compared and further validated by ROC analyses. In the derivation cohort (n = 892), there were 102 patients developed ACLF within 28 days, with profound systemic inflammatory levels and higher 28-day mortality rate (31.4% vs. 1.0%) than those without ACLF development. The MELD score (cut-off = 18) achieved acceptable missing rate (missed/total ACLF development) at 2.9%. In the validation cohort (n = 1656), the MELD score (<18) was able to rule out ACLF development within 28 days with missing rate at 3.0%. ACLF development within 28 days were both lower than 1% (0.6%, derivation cohort; 0.5%, validation cohort) in patients with MELD < 18. While in patients with MELD ≥ 18, 26.6% (99/372, derivation cohort) and 17.8% (130/732, validation cohort) developed into ACLF within 28 days, respectively. While MELD-Na score cut-off at 20 and CLIF-AD score cut-off at 42 did not have consistent performance in our two cohorts. MELD < 18 was able to safely rule out patients with ACLF development within 28 days in HBV-related patients without previous decompensation, which had a high 28-day mortality.
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Affiliation(s)
- Tingting Qi
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Congyan Zhu
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Hepatology Unit and Department of Infectious Disease, Zhuhai People's Hospital, Zhuhai, China
| | - Jiapeng Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Department of Infectious Diseases, Tianjin First Central Hospital, Tianjin, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zuxiong Huang
- Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.,Department of Hepatology, Affiliated Infectious Disease Hospital of Fujian Medical University, Fuzhou, China
| | - Zhibin Zhu
- The Forth Department of Hepatology, The Third People's Hospital of Shenzhen, Affiliated with Guangdong Medical College, Shenzhen, China
| | - Minghan Tu
- Department of Hepatology, The Ninth Hospital of Nanchang, Nanchang, China.,Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China.,National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Shaoyang Wang
- Department of Infectious Diseases, Fuzhou General Hospital of Nanjing Military Command, Fujian, China
| | - Hai Li
- Department of Infectious Diseases, Affiliated Hospital of Logistics University of People's Armed Police Force, Tianjin, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
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12
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Gu D, Zhang M, Wang Y, Bai Y, Wang X, Deng G. Causal effect of autoimmune liver diseases on cancer: Meta-analyses of cohort studies and Mendelian randomization study. Liver Int 2022; 42:2216-2226. [PMID: 35775855 DOI: 10.1111/liv.15355] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/26/2022] [Accepted: 06/29/2022] [Indexed: 02/13/2023]
Abstract
BACKGROUND AND AIMS Prior studies suggested that patients with autoimmune liver diseases (AiLDs) had an increased risk of cancer, whereas the causal effect remained unclear. METHODS Meta-analyses concerning the relationship between AiLD and cancer risk were performed to calculate the pooled relative risk (RR) and corresponding 95% confidence intervals (CIs). Then, the associations with a p value of <.05 were further validated by two-sample Mendelian randomization studies. RESULTS A total of 37 cohort studies covering more than 34 558 patients were included, and we observed an increased risk of overall cancers (pooled RR = 3.64, 95% CI: 2.64-5.03, p < .001) and cancer-related death (pooled RR = 2.48, 95% CI: 1.73-3.53, p < .001) for patients with AiLD. Besides, overall and several site-specific cancers risk were found in patients with primary biliary cholangitis (PBC), autoimmune hepatitis (AIH), and primary sclerosing cholangitis (PSC) (p < .05). However, associations between genetically predisposed AIH, PBC, and PSC and the risk of specific cancers did not reach a significant level, except for PBC and gastric cancer (OR = 0.96, 95% CI: 0.93-0.99; p = .02). CONCLUSIONS In addition to hepatobiliary cancer, results from the meta-analyses suggest that patients with AiLD might have an increased risk of several extrahepatobiliary cancers. However, the causal role of AiLD in cancer development needs to be further investigated.
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Affiliation(s)
- Dongqing Gu
- Department of Infectious Diseases, First Affiliated Hospital, Army Medical University, Chongqing, China
| | - Min Zhang
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China
| | - Ye Bai
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Xin Wang
- Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China
| | - Guohong Deng
- Department of Infectious Diseases, First Affiliated Hospital, Army Medical University, Chongqing, China
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13
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Deng G, Li Z. 1002P Compared with the difference in efficacy between EGFR-TKIs alone and EGFR-TKIs combined with craniocerebral radiotherapy in EGFR mutant lung adenocarcinoma patients with brain metastasis. A propensity-score matched analysis. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1128] [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: 11/01/2022] Open
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14
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Zhu Y, Li H, Wang X, Zheng X, Huang Y, Chen J, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Yan H, Zheng Y, Qiao L, Zhang Y, Xiang X, Dan Y, Sun S, Hou Y, Zhang Q, Xiong Y, Li S, Chen J, Huang Z, Li B, Jiang X, Luo S, Chen Y, Gao N, Liu C, Ji L, Yuan W, Li J, Li T, Zheng R, Zhou X, Ren H, Zhou Y, Xu B, Yu R, Tan W, Deng G. Hepatitis B Virus Reactivation Increased the Risk of Developing Hepatic Failure and Mortality in Cirrhosis With Acute Exacerbation. Front Microbiol 2022; 13:910549. [PMID: 35875559 PMCID: PMC9300993 DOI: 10.3389/fmicb.2022.910549] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background and AimsHepatitis B virus (HBV) reactivation is a serious condition and has been extensively described in chemotherapeutic immunosuppressive population. However, little is known about HBV reactivation in immunocompetent patients with chronic hepatitis B (CHB). In this study, we evaluated the prevalence and the clinical significance of HBV reactivation in CHB patients with acute exacerbations.MethodPatients were screened from two prospective multicenter observational cohorts (CATCH-LIFE cohort). A total of 1,020 CHB patients with previous antiviral treatment history were included to assess the prevalence, risk factors, clinical characteristics of HBV reactivation, and its influence on the progression of chronic liver disease.ResultsThe prevalence of HBV reactivation was 51.9% in CHB patients with acute exacerbations who had antiviral treatment history in our study. Among the 529 patients with HBV reactivation, 70.9% of them were triggered by discontinued antiviral treatment and 5.9% by nucleos(t)ide analogs (NUCs) resistance. The prevalence of antiviral treatment disruption and NUCs resistance in patients with HBV reactivation is much higher than that in the patients without (70.9% vs. 0.2%, and 5.9% vs. 0, respectively, both p < 0.001). Stratified and interaction analysis showed that HBV reactivation was correlated with high short-term mortality in cirrhosis subgroup (HR = 2.1, p < 0.001). Cirrhotic patients with HBV reactivation had a significantly higher proportion of developing hepatic failure (45.0% vs. 20.3%, p < 0.001), acute-on-chronic liver failure (ACLF; 31.4% vs. 21.8%, p = 0.005), and short-term death (14.0% vs. 5.9% for 28-day, and 23.3% vs. 12.4% for 90-day, both p < 0.001) than those without. HBV reactivation is an independent risk factor of 90-day mortality for cirrhosis patients (OR = 1.70, p = 0.005), as well as hepatic encephalopathy, ascites, and bacterial infection.ConclusionThis study clearly demonstrated that there was a high prevalence of HBV reactivation in CHB patients, which was mainly triggered by discontinued antiviral treatment. The HBV reactivation strongly increased the risk of developing hepatic failure, ACLF and short-term death in HBV-related cirrhotic patients, which may suggest that HBV reactivation would be a new challenge in achieving the WHO target of 65% reduction in mortality from hepatitis B by 2030.
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Affiliation(s)
- Ying Zhu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Therapy of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Hepatology, Hwamei Hospital, Ningbo No.2 Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Yunjie Dan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Shuning Sun
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sumeng Li
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Therapy of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Therapy of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Chunyan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Baoyan Xu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Rentao Yu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
- Wenting Tan,
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
- *Correspondence: Guohong Deng,
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15
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Wang T, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Zhang Y, Dong F, Wei J, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Long L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Shi Y, Li H. Role of precipitants on transition of acute decompensation to acute-on-chronic liver failure in patients with HBV-related cirrhosis. JHEP Rep 2022; 4:100529. [PMID: 36052222 PMCID: PMC9424579 DOI: 10.1016/j.jhepr.2022.100529] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/14/2022] [Indexed: 12/13/2022] Open
Abstract
Background & Aims Pre-acute-on-chronic liver failure (ACLF) is a distinct intermediate stage between acute decompensation (AD) and ACLF. However, identifying patients with pre-ACLF and predicting progression from AD to ACLF is difficult. This study aimed to identify pre-ACLF within 28 days, and to develop and validate a prediction model for ACLF in patients with HBV-related decompensated cirrhosis. Methods In total, 1,736 patients with HBV-related cirrhosis and AD were enrolled from 2 large-scale, multicenter, prospective cohorts. ACLF occurrence within 28 days, readmission, and 3-month and 1-year outcomes were collected. Results Among 970 patients with AD without ACLF in the derivation cohort, the 94 (9.6%) patients with pre-ACLF had the highest 3-month and 1-year LT-free mortality (61.6% and 70.9%, respectively), which was comparable to those with ACLF at enrollment (57.1% and 67.1%); the 251 (25.9%) patients with unstable decompensated cirrhosis had mortality rates of 22.4% and 32.1%, respectively; while the 507 (57.9%) patients with stable decompensated cirrhosis had the best outcomes (1-year mortality rate of 2.6%). Through Cox proportional hazard regression, specific precipitants, including hepatitis B flare with HBV reactivation, spontaneous hepatitis B flare with high viral load, superimposed infection on HBV, and bacterial infection, were identified to be significantly associated with ACLF occurrence in the derivation cohort. A model that incorporated precipitants, indicators of systemic inflammation and organ injuries reached a high C-index of 0.90 and 0.86 in derivation and validation cohorts, respectively. The optimal cut-off value (0.22) differentiated high-risk and low-risk patients, with a negative predictive value of 0.95. Conclusions Three distinct clinical courses of patients with AD are validated in the HBV-etiology population. The precipitants significantly impact on AD-ACLF transition. A model developed by the precipitant–systemic inflammation–organ injury framework could be a useful tool for predicting ACLF occurrence. Clinical trial number NCT02457637 and NCT03641872. Lay summary It was previously shown that patients with decompensated cirrhosis could be stratified into 3 groups based on their short-term clinical prognoses. Herein, we showed that this stratification applies to patients who develop cirrhosis as a result of hepatitis B virus infection. We also developed a precipitant-based model (i.e. a model that incorporated information about the exact cause of decompensation) that could predict the likelihood of these patients developing a very severe liver disease called acute-on-chronic liver failure (or ACLF). Three distinct clinical trajectories were validated in patients with HBV-related cirrhosis. Specific precipitants were associated with an increased risk of developing ACLF. Models incorporating precipitants performed better for the prediction of ACLF development.
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16
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Fan R, Chen L, Wang Y, Wei W, Qian Y, Du L, Fan X, Yu Y, Jiang G, Huang Y, Bai H, Gao Y, Wang C, Deng G, Zhang Q, Wang C, Liu J, Wang H, Hou J. Early detection of hepatocellular carcinoma using cfDNA signatures from cirrhotic patients with nodules. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.4113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
4113 Background: Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related death worldwide. Early detection of HCC patients is related to favorable survival. Nodules in liver cirrhosis (LC) are at higher risk of developing into HCC. There is an urgent clinical need for development of an accurate and affordable non-invasive method for early HCC diagnosis among LC patients with nodules. Methods: We have previously shown that the genome-wide HIFI (5-Hydroxymethylcytosine/motIf/ Fragmentation/nucleosome footprInt) method held a solid diagnostic value in differentiating HCC from LC. In this study, we leverage this knowledge to diagnose early HCC (BCLC 0/A) in cirrhotic nodules using copy number variation (CNV) to replace 5-Hydroxymethylcytosine to simplify NGS protocol and decrease cost. The updated method generates a score that reflects the presence of tumor-derived cfDNA in 10 ml blood via low coverage (2x) whole-genome sequencing (WGS). We applied it in a retrospective cohort (validation set 1, n = 171) and a prospective cohort (validation set 2, n = 156), both of which involved patients with newly diagnosed early stage HCC (BCLC 0/A) as well as individuals with cirrhotic nodules. Results: The updated method showed excellent performance for early HCC detection both in the validation set 1 (84 HCC and 87 cirrhotic nodules; AUC: 0.951, 82.1% sensitivity at 90.8% specificity) and validation set 2 (71 HCC and 85 cirrhotic nodules; AUC: 0.958, 81.7% sensitivity at 91.8% specificity) (Table). The AUC values for distinguishing early HCC from cirrhotic nodules could reach 0.951 (80.9% sensitivity at 91.0% specificity) and 0.947 (74.7% sensitivity at 92.1% specificity) among patients with AFP < 400 μg/L and those with nodular size < = 2 cm, respectively. More importantly, our model also maintained consistent performance in detecting very early stage HCC (BCLC 0) with AUC of 0.941 (74.7% sensitivity at 91.3% specificity). Conclusions: These findings provide an accurate, affordable, excellent clinical potential model integrating four cfDNA molecular signatures for detecting early stage HCC from cirrhotic nodules using low-coverage WGS of plasma cfDNA samples. [Table: see text]
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Affiliation(s)
- Rong Fan
- Department of Infectious Diseases, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lei Chen
- National Center for Liver Cancer, Shanghai, China, International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Weiwei Wei
- Berry Oncology Corporation, Beijing, China
| | - Yunsong Qian
- Hepatology Department, Ningbo Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Lutao Du
- Department of Clinical Laboratory, The Second Hospital of Shandong University; The Clinical Research Center of Shandong Province for Clinical Laboratory, Jinan, China
| | - Xiaotang Fan
- Department of Hepatology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yanlong Yu
- Chifeng Clinical Medical School of Inner Mongolia Medical University, Chifeng, China
| | - Guoqing Jiang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Yangqing Huang
- Department of Liver Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Honglian Bai
- Department of Infectious Disease, the First People’s Hospital of Foshan, Foshan, China
| | - Yanhang Gao
- The First Hospital of Jilin University, Jilin, China
| | | | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | | | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University; The Clinical Research Center of Shandong Province for Clinical Laboratory, Jinan, China
| | - Jingfeng Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Hongyang Wang
- National Center for Liver Cancer, Shanghai, China, International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China
| | - Jinlin Hou
- Department of Infectious Diseases, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
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17
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Qiu P, Lin X, Deng G. [Talin1 is highly expressed in the fallopian tube and chorionic villi to promote trophoblast invasion in tubal pregnancy]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:610-617. [PMID: 35527499 DOI: 10.12122/j.issn.1673-4254.2022.04.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the expression of Talin1 in the fallopian tube and chorionic villi in patients with tubal pregnancy and its role in regulating invasion and migration of trophoblasts. METHODS Immunohistochemistry and Western blotting were used to detect the localization and expression level of Talin1 in the fallopian tube and chorionic villi in patients with tubal pregnancy and in women with normal pregnancy. In the cell experiment, HTR-8/SVneo cells was transfected with Talin1 siRNA and the changes in cell invasion and migration were assessed using scratch assay and Transwell assay. The expressions of MMP-2, MMP-9, N-cadherin and Snail in the transfected cells were detected by qRT-PCR and Western blotting. RESULTS Positive expression of Talin1 was detected in both normal fallopian tube tissues and tissues from women tubal pregnancy, and its expression was localized mainly in the cytoplasm of cilia cells. The expression level of Talin1 was significantly higher in both the fallopian tube and chorionic villi in women with tubal pregnancy than in normal fallopian tube and chorionic villi samples (P < 0.01). In HTR-8/SVneo cells, transfection with Talin1 siRNA significantly inhibited cell invasion (P < 0.01) and migration (P < 0.05), down-regulated the expression of N-cadherin, MMP-2 and Snail (P < 0.05), and up-regulated the expression of MMP-9 in the cells (P < 0.05). CONCLUSION The expression of Talin1 in the fallopian tube and chorionic villi is significantly increased in women with tubal pregnancy, suggesting the association of Talin1-regulated trophoblast cell invasion with the occurrence of tubal pregnancy.
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Affiliation(s)
- P Qiu
- Department of Gynecology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - X Lin
- First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - G Deng
- Department of Gynecology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
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18
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Mei X, Li H, Deng G, Wang X, Zheng X, Huang Y, Chen J, Meng Z, Gao Y, Liu F, Lu X, Shi Y, Zheng Y, Yan H, Zhang W, Qiao L, Gu W, Zhang Y, Xiang X, Zhou Y, Sun S, Hou Y, Zhang Q, Xiong Y, Zou C, Chen J, Huang Z, Li B, Jiang X, Zhong G, Wang H, Chen Y, Luo S, Gao N, Liu C, Li J, Li T, Zheng R, Zhou X, Ren H, Yuan W, Qian Z. Prevalence and clinical significance of serum sodium variability in patients with acute-on-chronic liver diseases: a prospective multicenter study in China. Hepatol Int 2022; 16:183-194. [PMID: 35037228 PMCID: PMC8761510 DOI: 10.1007/s12072-021-10282-8] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/22/2021] [Indexed: 12/31/2022]
Abstract
Background No reports exist regarding the prevalence of different Na levels and their relationship with 90-day prognosis in hospitalized patients with acute-on-chronic liver disease (AoCLD) in China. Therefore, the benefit of hyponatremia correction in AoCLD patients remains unclear. Methods We prospectively collected the data of 3970 patients with AoCLD from the CATCH-LIFE cohort in China. The prevalence of different Na levels (≤ 120; 120–135; 135–145; > 145) and their relationship with 90-day prognosis were analyzed. For hyponatremic patients, we measured Na levels on days 4 and 7 and compared their characteristics, based on whether hyponatremia was corrected. Results A total of 3880 patients were involved; 712 of those developed adverse outcomes within 90 days. There were 80 (2.06%) hypernatremic, 28 (0.72%) severe hyponatremic, and 813 (20.95%) mild hyponatremic patients at admission. After adjusting for all confounding factors, the risk of 90-day adverse outcomes decreased by 5% (odds ratio [OR] 0.95; 95% confidence interval [CI] 0.93–0.97; p < 0.001), 24% (OR 0.76; 95% CI 0.70–0.84; p < 0.001), and 42% (OR 0.58; 95% CI 0.49–0.70; p < 0.001) as Na level increased by 1, 5, and 10 mmol/L, respectively. Noncorrection of hyponatremia on days 4 and 7 was associated with 2.05-fold (hazard ratio [HR], 2.05; 95% CI, 1.50–2.79; p < 0.001) and 1.46-fold (HR 1.46; 95% CI 1.05–2.02; p = 0.028) higher risk of adverse outcomes. Conclusions Hyponatremia was an independent risk factor for a poor 90-day prognosis in patients with AoCLD. Failure to correct hyponatremia in a week after admission was often associated with increased mortality. (ClinicalTrials.gov number: NCT02457637, NCT03641872). Clinical Trial Numbers This study is registered at Shanghai www.clinicaltrials.org (NCT02457637 and NCT03641872). Supplementary Information The online version contains supplementary material available at 10.1007/s12072-021-10282-8.
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Affiliation(s)
- Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (Fudan University), 2901 Cao Lang Road, Jinshan District, Shanghai, 201508, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China
- National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Yubao Zheng
- Department of Infectious Diseases, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Huadong Yan
- Department of Hepatology, Number 2 Hospital, Ningbo, China
| | - Weituo Zhang
- Clinical Research Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shuning Sun
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zou
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guotao Zhong
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Haiyu Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Chunyan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China
- National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (Fudan University), 2901 Cao Lang Road, Jinshan District, Shanghai, 201508, China.
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (Fudan University), 2901 Cao Lang Road, Jinshan District, Shanghai, 201508, China.
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19
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Wang J, Jarrold B, Zhao W, Deng G, Moulton L, Laughlin T, Hakozaki T. The combination of sucrose dilaurate and sucrose laurate suppresses HMGB1: an enhancer of melanocyte dendricity and melanosome transfer to keratinocytes. J Eur Acad Dermatol Venereol 2022; 36 Suppl 3:3-11. [PMID: 35014730 DOI: 10.1111/jdv.17846] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 11/22/2021] [Accepted: 11/26/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Hyperpigmented spots are common issues in all ethnicities, involving multiple intrinsic and extrinsic factors such as UVB exposure, hormone balance, inflammatory status and ageing. OBJECTIVES To determine (i) melanocyte dendricity in multiple facial spot types, (ii) impact of High Mobility Group Box 1 (HMGB1), and the combination of sucrose dilaurate and sucrose laurate (SDL) on melanogenesis and melanocyte dendricity, and (iii) SDL effect on facial spots in a human use test. METHODS Facial spot and adjacent non-spot skin biopsies were collected from Chinese women (age 20-70). Histological assessment of melanocyte dendricity was performed for 3 spot types (solar lentigo, melasma and postinflammatory hyperpigmentation) by immunofluorescent staining for c-kit/MITF. Keratinocyte, melanocyte and melanocyte-keratinocyte co-culture models were used to assess HMGB1 release by UVB radiation, the effects of HMGB1 and SDL on melanin production, melanocyte dendricity and melanosome transfer. The effect of an SDL-containing moisturizer on appearance of facial hyperpigmented spots was assessed against a vehicle control in an 8-week human use test. RESULTS Melanocytes in spot areas are more dendritic than melanocytes in adjacent non-spot skin across three investigated spot types. In cell culture models, a moderate UVB-radiation exposure caused release of HMGB1 from keratinocytes. HMGB1 did not alter melanin production in melanocytes, but enhanced melanocyte dendricity and melanosome transfer. SDL reduced HMGB1 release from keratinocytes, inhibited melanin production, reversibly suppressed melanocyte dendricity and reduced melanosome transfer. In the human use test, SDL-containing moisturizer reduced appearance of spots versus vehicle. CONCLUSION Increased melanocyte dendricity was observed in multiple types of facial spots. Addition of HMGB1 protein increased melanocyte dendricity and melanosome transfer in cell cultures, implicating potential involvement in spot formation. SDL suppressed melanin production, melanocyte dendricity and melanosome transfer in vitro and reduced appearance of spots in the use test, suggesting SDL is an effective solution to address hyperpigmented spot concerns.
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Affiliation(s)
- J Wang
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - B Jarrold
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - W Zhao
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - G Deng
- P&G Singapore Innovation Center, Singapore City, Singapore
| | - L Moulton
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - T Laughlin
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - T Hakozaki
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
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20
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Liu Y, Deng G. Automating inventorying of blood stations: A system based on ultrahigh-frequency radio-frequency identification (UHF RFID) technology. Transfus Clin Biol 2021; 29:134-137. [PMID: 34929415 DOI: 10.1016/j.tracli.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 12/14/2021] [Indexed: 10/19/2022]
Abstract
Inventorying blood products is an essential process in blood station management. Traditional methods need to integrate barcodes with refrigerators, which suffer from low time efficiency, high error rate and high labour cost. Several methods have been proposed to automate this process in blood stations. However, none of them is ideal enough. In this paper, we analyse the difficulties of automation in blood inventory, and propose an automated blood inventory system based on UHF RFID technology. Comparisons over our method with manual inventory and handheld RFID inventory are conducted. The result shows that our method is nearly 10 times higher than manual inventory in time efficiency while increases the accuracy to 100%.
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Affiliation(s)
- Y Liu
- The Ningbo Central Blood Station, Ningbo, China
| | - G Deng
- The Ningbo Central Blood Station, Ningbo, China.
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21
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Wang Y, Dong F, Sun S, Wang X, Zheng X, Huang Y, Li B, Gao Y, Qian Z, Liu F, Lu X, Liu J, Ren H, Zheng Y, Yan H, Deng G, Qiao L, Zhang Y, Gu W, Xiang X, Zhou Y, Xu B, Hou Y, Zhang Q, Xiong Y, Zou C, Chen J, Huang Z, Jiang X, Qi T, Luo S, Chen Y, Gao N, Liu C, Yuan W, Mei X, Li J, Li T, Zheng R, Zhou X, Zhang W, Li H, Meng Z. Increased INR Values Predict Accelerating Deterioration and High Short-Term Mortality Among Patients Hospitalized With Cirrhosis or Advanced Fibrosis. Front Med (Lausanne) 2021; 8:762291. [PMID: 34869468 PMCID: PMC8637055 DOI: 10.3389/fmed.2021.762291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 08/21/2021] [Accepted: 10/18/2021] [Indexed: 12/12/2022] Open
Abstract
Background and Objective: An increase in the international normalized ratio (INR) is associated with increased mortality in patients with cirrhosis and other chronic liver diseases, while little is known about the quantitative relationship. This study aimed to investigate the quantitative relationship between the INR and short-term prognosis among patients hospitalized with cirrhosis or advanced fibrosis and to evaluate the role of the INR as a risk factor for short-term liver transplant (LT)-free mortality in these patients. Patients and Methods: This study prospectively analyzed multicenter cohorts established by the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study. Cox regression was used to describe the relationship between the INR and independent risk factors for short-term LT-free mortality. Forest plots were used in the subgroup analysis. Generalized additive models (GAMs) and splines were used to illustrate the quantitative curve relationship between the INR and the outcome and inflection point on the curve. Results: A total of 2,567 patients with cirrhosis and 924 patients with advanced fibrosis were included in the study. The 90-day LT-free mortality of patients with cirrhosis and advanced fibrosis was 16.7% (428/2,567) and 7.5% (69/924), respectively. In the multivariable Cox regression analysis, the increase in the INR was independently associated with the risk of 90-day LT-free mortality both in patients with cirrhosis (HR, 1.06; 95% CI, 1.04–1.07, p < 0.001) and in patients with advanced fibrosis (HR, 1.09; 95% CI, 1.06–1.12, p < 0.001). An INR of 1.6/1.7 was found to be the starting point of coagulation dysfunction with a rapid increase in mortality in patients with cirrhosis or in patients with advanced fibrosis, respectively. A 28-day LT-free mortality of 15% was associated with an INR value of 2.1 in both cirrhosis and advanced fibrosis patients. Conclusions: This study was the first to quantitatively describe the relationship between the INR and short-term LT-free mortality in patients with cirrhosis or advanced fibrosis. The starting points of INR indicating the rapid increase in mortality and the unified cutoff value of coagulation failure in cirrhosis and advanced fibrosis, will help clinicians accurately recognize early disease deterioration.
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Affiliation(s)
- Ying Wang
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
| | - Fuchen Dong
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shuning Sun
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Chinese Chronic Liver Failure Consortium, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Chinese Chronic Liver Failure Consortium, China.,Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Chinese Chronic Liver Failure Consortium, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yanhang Gao
- Chinese Chronic Liver Failure Consortium, China.,Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Chinese Chronic Liver Failure Consortium, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Chinese Chronic Liver Failure Consortium, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Junping Liu
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Henan Provincial People's Hospital, Henan, China
| | - Haotang Ren
- Chinese Chronic Liver Failure Consortium, China.,State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yubao Zheng
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Hwamei Hospital, Ningbo No. 2 Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Guohong Deng
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Liang Qiao
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wenyi Gu
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Baoyan Xu
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Chinese Chronic Liver Failure Consortium, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Chinese Chronic Liver Failure Consortium, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zou
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Chinese Chronic Liver Failure Consortium, China.,Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Chinese Chronic Liver Failure Consortium, China.,Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Chinese Chronic Liver Failure Consortium, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Tingting Qi
- Chinese Chronic Liver Failure Consortium, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
| | - Na Gao
- Chinese Chronic Liver Failure Consortium, China.,Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Chunyan Liu
- Chinese Chronic Liver Failure Consortium, China.,Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Wei Yuan
- Chinese Chronic Liver Failure Consortium, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Chinese Chronic Liver Failure Consortium, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Chinese Chronic Liver Failure Consortium, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Chinese Chronic Liver Failure Consortium, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Weituo Zhang
- Chinese Chronic Liver Failure Consortium, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Li
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
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22
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Ren X, Wen W, Fan X, Hou W, Su B, Cai P, Li J, Liu Y, Tang F, Zhang F, Yang Y, He J, Ma W, He J, Wang P, Cao Q, Chen F, Chen Y, Cheng X, Deng G, Deng X, Ding W, Feng Y, Gan R, Guo C, Guo W, He S, Jiang C, Liang J, Li YM, Lin J, Ling Y, Liu H, Liu J, Liu N, Liu SQ, Luo M, Ma Q, Song Q, Sun W, Wang G, Wang F, Wang Y, Wen X, Wu Q, Xu G, Xie X, Xiong X, Xing X, Xu H, Yin C, Yu D, Yu K, Yuan J, Zhang B, Zhang P, Zhang T, Zhao J, Zhao P, Zhou J, Zhou W, Zhong S, Zhong X, Zhang S, Zhu L, Zhu P, Zou B, Zou J, Zuo Z, Bai F, Huang X, Zhou P, Jiang Q, Huang Z, Bei JX, Wei L, Bian XW, Liu X, Cheng T, Li X, Zhao P, Wang FS, Wang H, Su B, Zhang Z, Qu K, Wang X, Chen J, Jin R, Zhang Z. COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas. Cell 2021; 184:5838. [PMID: 34767776 PMCID: PMC8582084 DOI: 10.1016/j.cell.2021.10.023] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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23
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Pan Q, Luo G, Qu J, Chen S, Zhang X, Zhao N, Ding J, Yang H, Li M, Li L, Cheng Y, Li X, Xie Q, Li Q, Zhou X, Zou H, Fan S, Zou L, Liu W, Deng G, Cai S, Boyer JL, Chai J. A homozygous R148W mutation in Semaphorin 7A causes progressive familial intrahepatic cholestasis. EMBO Mol Med 2021; 13:e14563. [PMID: 34585848 PMCID: PMC8573601 DOI: 10.15252/emmm.202114563] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/03/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Semaphorin 7A (SEMA7A) is a membrane-bound protein that involves axon growth and other biological processes. SEMA7A mutations are associated with vertebral fracture and Kallmann syndrome. Here, we report a case with a mutation in SEMA7A that displays familial cholestasis. WGS reveals a SEMA7AR148W homozygous mutation in a female child with elevated levels of serum ALT, AST, and total bile acid (TBA) of unknown etiology. This patient also carried a SLC10A1S267F allele, but Slc10a1S267F homozygous mice exhibited normal liver function. Similar to the child, Sema7aR145W homozygous mice displayed elevated levels of serum ALT, AST, and TBA. Remarkably, liver histology and LC-MS/MS analyses exhibited hepatocyte hydropic degeneration and increased liver bile acid (BA) levels in Sema7aR145W homozygous mice. Further mechanistic studies demonstrated that Sema7aR145W mutation reduced the expression of canalicular membrane BA transporters, bile salt export pump (Bsep), and multidrug resistance-associated protein-2 (Mrp2), causing intrahepatic cholestasis in mice. Administration with ursodeoxycholic acid and a dietary supplement glutathione improved liver function in the child. Therefore, Sema7aR145W homozygous mutation causes intrahepatic cholestasis by reducing hepatic Bsep and Mrp2 expression.
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Affiliation(s)
- Qiong Pan
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Gang Luo
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Jiaquan Qu
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Sheng Chen
- Department of PediatricsSouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Xiaoxun Zhang
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Nan Zhao
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Jingjing Ding
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Hong Yang
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Mingqiao Li
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Ling Li
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Ying Cheng
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Xuan Li
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Qiaoling Xie
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Qiao Li
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Xueqian Zhou
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Huiling Zou
- Department of PediatricsChangsha Hospital for Maternal & Child Health CareChangshaChina
| | - Shijun Fan
- Medical Research CenterSouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Lingyun Zou
- Bao'an Maternal and Child Health HospitalJinan UniversityShenzhenChina
| | - Wei Liu
- Institute of ImmunologyThird Military Medical University (Army Medical University)ChongqingChina
| | - Guohong Deng
- Department of Infectious DiseasesSouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Shi‐Ying Cai
- Department of Internal Medicine and Liver CenterYale University School of MedicineNew HavenCTUSA
| | - James L Boyer
- Department of Internal Medicine and Liver CenterYale University School of MedicineNew HavenCTUSA
| | - Jin Chai
- Cholestatic Liver Diseases CenterDepartment of GastroenterologySouthwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
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24
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Xiao J, Wan X, Wang H, Deng G. Analysis of HBV-Specific CD4 T-cell Responses and Identification of HLA-DR-Restricted CD4 T-Cell Epitopes Based on a Peptide Matrix. J Vis Exp 2021. [PMID: 34747404 DOI: 10.3791/62387] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
CD4 T cells play important roles in the pathogenesis of chronic hepatitis B. As a versatile cell population, CD4 T cells have been classified as distinct functional subsets based on the cytokines they secreted: for example, IFN-γ for CD4 T helper 1 cells, IL-4 and IL-13 for CD4 T helper 2 cells, IL-21 for CD4 T follicular helper cells, and IL-17 for CD4 T helper 17 cells. Analysis of hepatitis B virus (HBV)-specific CD4 T cells based on cytokine secretion after HBV-derived peptides stimulation could provide information not only about the magnitude of HBV-specific CD4 T-cell response but also about the functional subsets of HBV-specific CD4 T cells. Novel approaches, such as transcriptomics and metabolomics analysis, could provide more detailed functional information about HBV-specific CD4 T cells. These approaches usually require isolation of viable HBV-specific CD4 T cells based on peptide-major histocompatibility complex-II multimers, while currently the information about HBV-specific CD4 T-cell epitopes is limited. Based on an HBV-derived peptide matrix, a method has been developed to evaluate HBV-specific CD4 T-cell responses and identify HBV-specific CD4 T-cell epitopes simultaneously using peripheral blood mononuclear cells samples from chronic HBV infection patients.
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Affiliation(s)
- Jianmei Xiao
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medial University); Chongqing Key Laboratory for Research of Infectious Diseases
| | - Xing Wan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medial University); Chongqing Key Laboratory for Research of Infectious Diseases
| | - Haoliang Wang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medial University); Chongqing Key Laboratory for Research of Infectious Diseases;
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medial University); Chongqing Key Laboratory for Research of Infectious Diseases;
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25
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Liu J, Li H, Xia J, Wang X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Liu J, Deng G, Zheng Y, Yan H, Qiao L, Xiang X, Zhang Q, Chen R, Chen J, Luo S, Gao L, Ji L, Li J, Zhou X, Ren H, Lu S, Li S, Zhang W, Zheng X. Baseline Neutrophil-to-Lymphocyte Ratio Is Independently Associated With 90-Day Transplant-Free Mortality in Patients With Cirrhosis. Front Med (Lausanne) 2021; 8:726950. [PMID: 34532334 PMCID: PMC8438214 DOI: 10.3389/fmed.2021.726950] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/04/2021] [Indexed: 12/13/2022] Open
Abstract
Background: Patients with cirrhosis have an increased risk of short-term mortality, however, few studies quantify the association between neutrophil-to-lymphocyte ratio (NLR) and 90-day transplant-free mortality in cirrhotic patients. Methods: We prospectively analyzed 3,970 patients with chronic liver diseases from two multicenter cohorts in China (January 2015 to December 2016 and July 2018 to January 2019). Restricted cubic splines (RCS) were used to analyze the relation of NLR and all-causes 90-day transplant-free mortality in cirrhosis. Results: A total of 2,583 cirrhotic patients were enrolled in our study. Restricted cubic splines showed that the odds ratio (OR) of all causes 90-day transplant-free mortality started to increase rapidly until around NLR 6.5, and then was relatively flat (p for non-linearity <0.001). The risk of 90-day transplant-free mortality in cirrhotic patients with NLR < 6.5 increased with an increment of 23% for every unit increase in NLR (p < 0.001). The patients with NLR < 4.5 had the highest risk (OR: 2.34, 95% CI 1.66–3.28). In multivariable-adjusted stratified analyses, the increase in the incidence of 90-day transplant-free mortality with NLR increasing was consistent (OR >1.0) across all major prespecified subgroups, including infection group (OR: 1.04, 95% CI 1.00–1.09) and non-infection (OR: 1.06, 95% CI 1.02–1.11) group. The trends for NLR and numbers of patients with organ failure varied synchronously and were significantly increased with time from day 7 to day 28. Conclusions: We found a non-linear association between baseline NLR and the adjusted probability of 90-day transplant-free mortality. A certain range of NLR is closely associated with poor short-term prognosis in patients with cirrhosis.
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Affiliation(s)
- Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Chinese Chronic Liver Failure Consortium, Shanghai, China
| | - Hai Li
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jie Xia
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Huang
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Disease, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Hunan, China
| | - Beiling Li
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Hepatology, First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Xiaobo Lu
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Liver Disease Center, First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Junping Liu
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, Henan Provincial People's Hospital, Henan, China
| | - Guohong Deng
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yubao Zheng
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Hepatology, Ningbo No. 2 Hospital, Ningbo, China
| | - Liang Qiao
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qun Zhang
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ruochan Chen
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Disease, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Hunan, China
| | - Jinjun Chen
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - La Gao
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Hepatology, First Hospital of Jilin University, Jilin, China
| | - Liujuan Ji
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Xinyi Zhou
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,Liver Disease Center, First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Haotang Ren
- Chinese Chronic Liver Failure Consortium, Shanghai, China.,State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Sihong Lu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Chinese Chronic Liver Failure Consortium, Shanghai, China
| | - Sumeng Li
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Chinese Chronic Liver Failure Consortium, Shanghai, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Chinese Chronic Liver Failure Consortium, Shanghai, China
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26
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Deng G. 1241P Effects of different brain radiotherapy strategies based on lung-molGPA stratification on the prognosis of patients with brain metastases of EGFR-mutant lung adenocarcinoma. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1846] [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: 11/15/2022] Open
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27
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Ouyang R, Li H, Xia J, Wang X, Zheng X, Huang Y, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Liu J, Deng G, Zheng Y, Yan H, Zhang W, Qiao L, Jiang X, Wang H, Zhong G, Li B, Chen J. Lower platelet counts were associated with 90-day adverse outcomes in acute-on-chronic liver disease patients. Ann Palliat Med 2021; 10:9342-9353. [PMID: 34412498 DOI: 10.21037/apm-21-1019] [Citation(s) in RCA: 3] [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] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 07/26/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND Chronic liver diseases (CLD), including cirrhosis and non-cirrhotic liver diseases, are globally widespread and create a serious disease burden. Platelet count is a clinically accessible and affordable prognostic indicator of liver disease. We investigated the relationship between platelet count and 90-day prognosis in patients with acute-on-chronic liver diseases (AoCLD). METHODS A total of 3,970 patients with AoCLD from the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study, which included two prospective multi-center cohorts, were included in the study. We grouped the patients according to the platelet count and analyzed the 90-day adverse outcome (death or liver transplantation). RESULTS In the final analysis, 3,939 patients with AoCLD were included, of whom 2,802 had definite liver cirrhosis. The cumulative incidence of 90-day adverse outcomes in patients increased with the change of platelet group (log-rank P<0.001). From univariate and multivariate analyses, platelet count was inversely associated with the incidence of 90-day adverse outcomes in patients (P for trend <0.001). The group with platelet count <20×109/L had the highest risk (odds ratio, 3.15; 95% confidence interval, 1.59-6.25), with 21 (36.8%) of these patients having adverse outcomes within 90 days. The risk of a 90-day adverse outcome in patients increased by 5% for every 10×109/L decrease in platelet count below 210×109/L. CONCLUSIONS Lower platelet count was associated with a higher incidence of 90-day adverse outcomes in patients with AoCLD. Even within the normal platelet count range, the risk of a 90-day adverse outcome in patients increased with decreases in platelet count. TRIAL REGISTRATION NCT02457637, NCT03641872.
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Affiliation(s)
- Renjie Ouyang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Chenzhou No. 1 People's Hospital, Chenzhou, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jie Xia
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Hubei, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Henan, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Henan, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Department of Hepatology, Ningbo No. 2 Hospital, Ningbo, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Haiyu Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guotao Zhong
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
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28
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Long L, Li H, Deng G, Wang X, Lu S, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Ren H, Shang J, Li H, Wang S, Zheng Y, Yan H, Yin S, Tan W, Zhang Q, Zheng X, Chen J, Luo S, Zhao J, Yuan W, Li T, Zheng R, Liu J, Liu X, Gu W, Li S, Mei X, Chen R, Huang Y. Impact of Hepatic Encephalopathy on Clinical Characteristics and Adverse Outcomes in Prospective and Multicenter Cohorts of Patients With Acute-on-Chronic Liver Diseases. Front Med (Lausanne) 2021; 8:709884. [PMID: 34409052 PMCID: PMC8365160 DOI: 10.3389/fmed.2021.709884] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 07/07/2021] [Indexed: 12/18/2022] Open
Abstract
Importance: Hepatic encephalopathy is a severe complication, and its contribution to clinical adverse outcomes in patients with acute-on-chronic liver diseases from the East is unclear. Objective: We aimed to investigate the impact of hepatic encephalopathy on clinical characteristics and adverse outcomes in prospective and multicenter cohorts of patients with acute-on-chronic liver diseases. Design: We conducted a cohort study of two multicenter prospective cohorts. Setting: China. Participants: Acute-on-chronic liver disease patients with various etiologies. Exposure: The diagnosis and severity of hepatic encephalopathy were assessed using the West Haven scale. Main Outcome Measure: The correlation between clinical adverse outcomes and varying hepatic encephalopathy grades was analyzed in the target patients. Results: A total of 3,949 patients were included, and 340 of them had hepatic encephalopathy. The incidence of hepatic encephalopathy was higher in patients with alcohol consumption (9.90%) than in those with hepatitis B virus infection (6.17%). The incidence of 28- and 90-day adverse outcomes increased progressively from hepatic encephalopathy grades 1–4. Logistic regression analysis revealed that hepatic encephalopathy grades 3 and 4 were independent risk factors for the 28- and 90-day adverse outcome in the fully adjusted model IV. Stratified analyses showed similar results in the different subgroups. Compared to grades 1–2 and patients without hepatic encephalopathy, those with grade 3 hepatic encephalopathy had a significant increase in clinical adverse outcomes, independent of other organ failures. Conclusions and Relevance: Hepatic encephalopathy grades 3–4 were independent risk factors for 28- and 90-day adverse outcomes. Hepatic encephalopathy grade 3 could be used as an indicator of brain failure in patients with acute-on-chronic liver disease.
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Affiliation(s)
- Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Hai Li
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China.,Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China
| | - Guohong Deng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Sihong Lu
- Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Hepatology, Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Hai Li
- Department of Infectious Diseases, Affiliated Hospital of Logistics University of People's Armed Police Force, Tianjin, China
| | - Shaoyang Wang
- Department of Infectious Diseases, Fuzhou General Hospital of Nanjing Military Command, Fuzhou, China
| | - Yubao Zheng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Hepatology, Ningbo No. 2 Hospital, Ningbo, China
| | - Shan Yin
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jinjun Chen
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaoxiao Liu
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Wenyi Gu
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Sumeng Li
- Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China.,Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China
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Qiao L, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Liu J, Yan H, Gu W, Zhang Y, Xiang X, Hou Y, Zhang Q, Xiong Y, Zou C, Chen J, Huang Z, Jiang X, Luo S, Chen Y, Gao N, Liu C, Yuan W, Mei X, Li J, Li T, Zheng R, Zhou X, Chen J, Deng G, Zhang W, Li H. Different Effects of Total Bilirubin on 90-Day Mortality in Hospitalized Patients With Cirrhosis and Advanced Fibrosis: A Quantitative Analysis. Front Med (Lausanne) 2021; 8:704452. [PMID: 34249983 PMCID: PMC8260970 DOI: 10.3389/fmed.2021.704452] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 12/22/2022] Open
Abstract
Introduction: Total bilirubin (TB) is a major prognosis predictor representing liver failure in patients with acute on chronic liver failure (ACLF). However, the cutoff value of TB for liver failure and whether the same cutoff could be applied in both cirrhotic and non-cirrhotic patients remain controversial. There is a need to obtain the quantitative correlation between TB and short-term mortality via evidence-based methods, which is critical in establishing solid ACLF diagnostic criteria. Methods: Patients hospitalized with cirrhosis or advanced fibrosis (FIB-4 > 1.45) were studied. TB and other variables were measured at baseline. The primary outcome was 90-day transplantation-free mortality. Multi-variable Cox proportional hazard model was used to present the independent risk of mortality due to TB. Generalized additive model and second derivate (acceleration) were used to plot the “TB-mortality correlation curves.” The mathematical (maximum acceleration) and clinical (adjusted 28-day transplantation-free mortality rate reaching 15%) TB cutoffs for liver failure were both calculated. Results: Among the 3,532 included patients, the number of patients with cirrhosis and advanced fibrosis were 2,592 and 940, respectively, of which cumulative 90-day mortality were 16.6% (430/2592) and 7.4% (70/940), respectively. Any increase of TB was found the independent risk factor of mortality in cirrhotic patients, while only TB >12 mg/dL independently increased the risk of mortality in patients with advanced fibrosis. In cirrhotic patients, the mathematical TB cutoff for liver failure is 14.2 mg/dL, with 23.3% (605/2592) patients exceeding it, corresponding to 13.3 and 25.0% adjusted 28- and 90-day mortality rate, respectively. The clinical TB cutoff for is 18.1 mg/dL, with 18.2% (471/2592) patients exceeding it. In patients with advanced fibrosis, the mathematical TB cutoff is 12.1 mg/dL, 33.1% (311/940) patients exceeding it, corresponding to 2.9 and 8.0% adjusted 28- and 90-day mortality rate, respectively; the clinical TB cutoff was 36.0 mg/dL, 1.3% (12/940) patients above it. Conclusion: This study clearly demonstrated the significantly different impact of TB on 90-day mortality in patients with cirrhosis and advanced fibrosis, proving that liver failure can be determined by TB alone in cirrhosis but not in advanced fibrosis. The proposed TB cutoffs for liver failure provides solid support for the establishment of ACLF diagnostic criteria.
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Affiliation(s)
- Liang Qiao
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaobo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Diseases, Hwamei Hospital, Ningbo No. 2 Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Wenyi Gu
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zou
- Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Chunyan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Li
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
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Xu B, Yang Q, Tang Y, Tan Z, Fu H, Peng J, Xiang X, Gan L, Deng G, Mao Q, Xu PX, Jiang Y, Ding J. SIX1/EYA1 are novel liver damage biomarkers in chronic hepatitis B and other liver diseases. Ann Transl Med 2021; 9:992. [PMID: 34277792 PMCID: PMC8267256 DOI: 10.21037/atm-21-2526] [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] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/11/2021] [Indexed: 11/06/2022]
Abstract
Background This study aimed to investigate the clinicopathological significance of sine oculis homeobox homolog 1 (SIX1) and eyes absent 1 (EYA1) in patients with chronic hepatitis B (CHB) and other liver diseases. Methods SIX1 and EYA1 levels were detected in human serum and liver tissues by enzyme linked immunosorbent assay (ELISA) and immunofluorescent staining method, respectively. Results The serum SIX1 and EYA1 levels in 313 CHB patients were 7.24±0.11 and 25.21±0.51 ng/mL, respectively, and these values were significantly higher than those in 33 healthy controls (2.84±0.15 and 13.11±1.01 ng/mL, respectively; P<0.05). Serum SIX1 and EYA1 levels were also markedly increased in patients with numerous other liver diseases, including liver fibrosis, hepatocellular carcinoma, fatty liver disease, alcoholic liver disease, fulminant hepatic failure, autoimmune liver disease, and hepatitis C, compared to the healthy controls (P<0.05). Dynamic observation of these proteins over time in 35 selected CHB patients revealed that SIX1 and EYA1 serum levels increased over an interval. Immunofluorescent staining revealed that both SIX1 and EYA1 were only expressed in hepatic stellate cells (HSCs), and their increased expression was evident in CHB liver tissue. Conclusions SIX1 and EYA1 are novel biomarkers of liver damage in patients of CHB and other liver diseases, with potential clinical utility.
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Affiliation(s)
- Baoyan Xu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qiao Yang
- Department of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Yingzi Tang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhaoxia Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Haiyan Fu
- Health Management Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jing Peng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Linlin Gan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qing Mao
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Pin-Xian Xu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yi Jiang
- Department of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Jianqiang Ding
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
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31
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Jiang L, Niu W, Zheng Q, Meng G, Chen X, Zhang M, Deng G, Mao Q, Wang L. Identification of an Autoantibody Against ErbB-3-Binding Protein-1 in the Sera of Patients With Chronic Hepatitis B Virus Infection. Front Immunol 2021; 12:640335. [PMID: 34113340 PMCID: PMC8185336 DOI: 10.3389/fimmu.2021.640335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 05/11/2021] [Indexed: 01/12/2023] Open
Abstract
Background Studies have shown that autoimmune response contributes to chronic hepatitis B (CHB) development. Aim This study aimed to identify autoantibodies in the sera of patients with CHB and to investigate the association of autoimmune response with disease severity in CHB. Methods Proteins from human liver carcinoma cell line HepG2 were separated by two-dimensional electrophoresis. The candidate autoantigens were recognized by serum autoantibodies from Chinese CHB patients. Immunohistochemical staining was performed to determine the hepatic expression of the autoantigen in CHB patients with different inflammatory grades. Enzyme-linked immunosorbent assay (ELISA) was conducted to measure the prevalence and the levels of serum autoantibody in CHB patients with different disease severity. Flow cytometry analysis was carried out to assess the autoreactive T cell response in the peripheral circulation of CHB patients. Results ErbB-3-binding protein-1 (EBP-1) was identified as an autoantigen of serum autoantibodies in CBP patients. EBP-1 protein expression was upregulated in the liver of CHB patients with high-grade hepatic inflammation. The prevalence and levels of serum anti-EBP1 IgG were significantly increased in CHB patients with severe diseases compared with those with mild or moderate diseases, but none was detectable in the healthy controls. EBP-1 peptides induced proinflammatory cytokine expression in CD4+ T cells from CHB patients. Conclusion Our results demonstrate the presence of an autoantibody against EBP-1 in the sera as well as EBP-1-reactive T cells in the peripheral blood of CHB patient. EBP-1-induced autoimmune response is positively associated with the disease severity, suggesting that EBP-1-induced autoimmune response possibly contributes to progressive liver failure.
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Affiliation(s)
- Li Jiang
- Department of Infectious Diseases, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wei Niu
- Department of Immunology & Institute of Immunology, Army Medical University (Third Military Medical University), Chongqing, China
| | - Qian Zheng
- Function Center, North Sichuan Medical College, Nanchong, China
| | - Gang Meng
- Department of Pathology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xiaoling Chen
- Department of Immunology & Institute of Immunology, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mengjun Zhang
- Department of Pharmaceutical Analysis and Analytical Chemistry, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Qing Mao
- Department of Infectious Diseases, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Wang
- Department of Immunology & Institute of Immunology, Army Medical University (Third Military Medical University), Chongqing, China
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Laughlin T, Tan Y, Jarrold B, Chen J, Li L, Fang B, Zhao W, Tamura M, Matsubara A, Deng G, Wang X, Hakozaki T. Autophagy activators stimulate the removal of advanced glycation end products in human keratinocytes. J Eur Acad Dermatol Venereol 2021; 34 Suppl 3:12-18. [PMID: 32557807 DOI: 10.1111/jdv.16453] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/04/2020] [Accepted: 03/27/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND The accumulation of advanced glycation end products (AGEs) can impact cellular homoeostasis and protein structure, thus is implicated in numerous skin conditions including yellow, dull appearance. AGE formation is irreversible; thus, understanding of the recycling process of AGEs in the skin is critical for addressing skin appearance conditions. OBJECTIVE To determine whether (i) accumulation of AGEs occurs in dull appearance group among young population (age 20-29) (ii) in vitro autophagy stimulation results in reduction of AGEs in keratinocytes. METHODS Facial cheek biopsies were collected from Chinese women (age 20-50) exhibiting either dull or non-dull appearing skin. Histological assessment of glycation was performed for representative subjects among the 20-29 years sub-group by immunofluorescence staining of AGEs. LC-MS methods and keratinocyte cell culture were used to assess impact of autophagy modulators and skin care materials on carboxymethyl lysine (CML) amount, a representative AGE. RESULTS Notable amounts of AGEs were observed in the epidermal samples among young females. Interestingly, the amount of AGEs was significantly higher among the dull skin appearance group. Treatment of keratinocytes with glyceraldehyde (GLA) enhanced CML in the cells, and postglycation treatment with autophagy activators reduced CML. Two skin care materials, Nymphaea alba flower extract (a.k.a. white water lily extract) and sucrose dilaurate, were identified based from in vitro autophagy activation and found to reduce CML in keratinocytes. CONCLUSION We found AGEs accumulate in the facial epidermis even among young people, correlating to a yellow and dull appearance. We also demonstrated in vitro activation of autophagy can reduce AGEs in keratinocytes, and autophagy activating skin care materials, N. alba flower extract and sucrose dilaurate, also reduce AGEs in the keratinocyte in vitro model. These data suggest epidermal AGEs contribute to the dull skin appearance, and autophagy activators may provide an effective solution to improve dull appearance by removing and recycling the accumulated glycation in the skin.
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Affiliation(s)
- T Laughlin
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - Y Tan
- Shanghai Skin Disease Hospital, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China.,NMPA Key Laboratory for Monitoring and Evaluation of Cosmetics, Shanghai, China
| | - B Jarrold
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - J Chen
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - L Li
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - B Fang
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - W Zhao
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - M Tamura
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
| | - A Matsubara
- Procter & Gamble International Operations, Singapore Innovation Center, Singapore, Singapore
| | - G Deng
- Procter & Gamble International Operations, Singapore Innovation Center, Singapore, Singapore
| | - X Wang
- Shanghai Skin Disease Hospital, Shanghai, China
| | - T Hakozaki
- The Procter & Gamble Company, Mason Business Center, Mason, OH, USA
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33
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Ren X, Wen W, Fan X, Hou W, Su B, Cai P, Li J, Liu Y, Tang F, Zhang F, Yang Y, He J, Ma W, He J, Wang P, Cao Q, Chen F, Chen Y, Cheng X, Deng G, Deng X, Ding W, Feng Y, Gan R, Guo C, Guo W, He S, Jiang C, Liang J, Li YM, Lin J, Ling Y, Liu H, Liu J, Liu N, Liu SQ, Luo M, Ma Q, Song Q, Sun W, Wang G, Wang F, Wang Y, Wen X, Wu Q, Xu G, Xie X, Xiong X, Xing X, Xu H, Yin C, Yu D, Yu K, Yuan J, Zhang B, Zhang P, Zhang T, Zhao J, Zhao P, Zhou J, Zhou W, Zhong S, Zhong X, Zhang S, Zhu L, Zhu P, Zou B, Zou J, Zuo Z, Bai F, Huang X, Zhou P, Jiang Q, Huang Z, Bei JX, Wei L, Bian XW, Liu X, Cheng T, Li X, Zhao P, Wang FS, Wang H, Su B, Zhang Z, Qu K, Wang X, Chen J, Jin R, Zhang Z. COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas. Cell 2021; 184:1895-1913.e19. [PMID: 33657410 PMCID: PMC7857060 DOI: 10.1016/j.cell.2021.01.053] [Citation(s) in RCA: 361] [Impact Index Per Article: 120.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/09/2020] [Accepted: 01/28/2021] [Indexed: 02/05/2023]
Abstract
A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical features, including age, sex, severity, and disease stages of COVID-19. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within virus-positive cells. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis of and developing effective therapeutic strategies for COVID-19.
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Affiliation(s)
- Xianwen Ren
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Wen Wen
- National Center for Liver Cancer, Second Military Medical University, Shanghai 200003, China; Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200003, China; Ministry of Education (MOE) Key Laboratory on Signaling Regulation and Targeting Therapy of Liver Cancer, Second Military Medical University, Shanghai 200003, China
| | - Xiaoying Fan
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health GuangDong Laboratory), Guangzhou 510005, China; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenhong Hou
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Bin Su
- Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Pengfei Cai
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Jiesheng Li
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Yang Liu
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
| | - Fei Tang
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Fan Zhang
- Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, 150080 Harbin, China
| | - Yu Yang
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Jiangping He
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health GuangDong Laboratory), Guangzhou 510005, China
| | - Wenji Ma
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jingjing He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Pingping Wang
- Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, China
| | - Qiqi Cao
- National Center for Liver Cancer, Second Military Medical University, Shanghai 200003, China; Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200003, China; Ministry of Education (MOE) Key Laboratory on Signaling Regulation and Targeting Therapy of Liver Cancer, Second Military Medical University, Shanghai 200003, China
| | - Fangjin Chen
- Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Yuqing Chen
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Xuelian Cheng
- State Key Laboratory of Experimental Hematology and National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Center for Stem Cell Medicine and Department of Stem Cell & Regenerative Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Xilong Deng
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510060, China
| | - Wenyu Ding
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Yingmei Feng
- Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Rui Gan
- Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, 150080 Harbin, China
| | - Chuang Guo
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Weiqiang Guo
- Yuebei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
| | - Shuai He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Chen Jiang
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Juanran Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Yi-Min Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China
| | - Jun Lin
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Yun Ling
- Department of Infectious Disease, Shanghai Public Health Clinical Center, Shanghai 201052, China
| | - Haofei Liu
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Jianwei Liu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health GuangDong Laboratory), Guangzhou 510005, China
| | - Nianping Liu
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Shu-Qiang Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Meng Luo
- Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, China
| | - Qiang Ma
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Qibing Song
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Wujianan Sun
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - GaoXiang Wang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Feng Wang
- Shanghai Institute of Immunology, Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ying Wang
- Shanghai Institute of Immunology, Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xiaofeng Wen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Qian Wu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Gang Xu
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
| | - Xiaowei Xie
- State Key Laboratory of Experimental Hematology and National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Center for Stem Cell Medicine and Department of Stem Cell & Regenerative Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Xinxin Xiong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xudong Xing
- Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China
| | - Hao Xu
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Chonghai Yin
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Dongdong Yu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Kezhuo Yu
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Jin Yuan
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China
| | - Biao Zhang
- State Key Laboratory of Experimental Hematology and National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Center for Stem Cell Medicine and Department of Stem Cell & Regenerative Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Peipei Zhang
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University, Chongqing 400038, China; Intelligent Pathology Institute, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), and Department of Pathology, the First Hospital Affiliated to USTC, Hefei, Anhui 230036, China; Department of Pathology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Tong Zhang
- Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China
| | - Peidong Zhao
- Analytical Biosciences Beijing Limited, Beijing 100084, China
| | - Jianfeng Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Wei Zhou
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health GuangDong Laboratory), Guangzhou 510005, China
| | - Sujuan Zhong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Xiaosong Zhong
- Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
| | - Shuye Zhang
- Shanghai Public Health Clinical Center and Institute of Biomedical Sciences, Fudan University, Shanghai 201508, China
| | - Lin Zhu
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
| | - Ping Zhu
- State Key Laboratory of Experimental Hematology and National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Center for Stem Cell Medicine and Department of Stem Cell & Regenerative Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Bin Zou
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Jiahua Zou
- Cancer Center, Huanggang Hospital of Traditional Chinese Medicine, Huanggang 438000, China
| | - Zengtao Zuo
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Fan Bai
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Xi Huang
- Center for Infection and Immunity, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China
| | - Penghui Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
| | - Qinghua Jiang
- Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, China.
| | - Zhiwei Huang
- Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, 150080 Harbin, China.
| | - Jin-Xin Bei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
| | - Lai Wei
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
| | - Xiu-Wu Bian
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University, Chongqing 400038, China; Intelligent Pathology Institute, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), and Department of Pathology, the First Hospital Affiliated to USTC, Hefei, Anhui 230036, China.
| | - Xindong Liu
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University, Chongqing 400038, China; Intelligent Pathology Institute, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), and Department of Pathology, the First Hospital Affiliated to USTC, Hefei, Anhui 230036, China.
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology and National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Center for Stem Cell Medicine and Department of Stem Cell & Regenerative Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China.
| | - Xiangpan Li
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Pingsen Zhao
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan 512025, China; Laboratory for Diagnosis of Clinical Microbiology and Infection, Medical Research Center, Shantou University Medical College, Shaoguan 512025, China.
| | - Fu-Sheng Wang
- Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China.
| | - Hongyang Wang
- National Center for Liver Cancer, Second Military Medical University, Shanghai 200003, China; Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200003, China; Ministry of Education (MOE) Key Laboratory on Signaling Regulation and Targeting Therapy of Liver Cancer, Second Military Medical University, Shanghai 200003, China.
| | - Bing Su
- Shanghai Institute of Immunology, Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Zheng Zhang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, China.
| | - Kun Qu
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China.
| | - Xiaoqun Wang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health GuangDong Laboratory), Guangzhou 510005, China; State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Brain-Intelligence Technology (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
| | - Jiekai Chen
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health GuangDong Laboratory), Guangzhou 510005, China; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
| | - Ronghua Jin
- Beijing Youan Hospital, Capital Medical University, Beijing 100069, China.
| | - Zemin Zhang
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
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Qiao L, Wang X, Deng G, Huang Y, Chen J, Meng Z, Zheng X, Shi Y, Qian Z, Liu F, Gao Y, Lu X, Liu J, Gu W, Zhang Y, Wang T, Wu D, Dong F, Sun X, Li H. Cohort profile: a multicentre prospective validation cohort of the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study. BMJ Open 2021; 11:e037793. [PMID: 33419900 PMCID: PMC7799133 DOI: 10.1136/bmjopen-2020-037793] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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] [Indexed: 02/06/2023] Open
Abstract
PURPOSE Acute-on-chronic liver failure (ACLF) is a clinical syndrome with high short-term mortality, unclear mechanism and controversial diagnosis criteria. The Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study has been conducted in China to fill the gaps. In the first phase (the CATCH-LIFE investigation cohort), 2600 patients were continuously recruited from 14 national nationwide liver centres from 12 different provinces of China in 2015-2016, and a series of important results were obtained. To validate the preliminary results, we designed and conducted this multicentre prospective observational cohort (the CATCH-LIFE validation cohort). PARTICIPANTS Patients diagnosed with chronic liver disease and hospitalised for acute decompensation (AD) or acute liver injure were enrolled, received standard medical therapy. We collected the participants' demographics, medical history, laboratory data, and blood and urine samples during their hospitalisation. FINDINGS TO DATE From September 2018 to March 2019, 1370 patients (73.4% men) aged from 15 to 79 years old were enrolled from 13 nationwide liver centres across China. Of these patients, 952 (69.5%) had chronic hepatitis B, 973 (71.1%) had cirrhosis and 1083 (79.1%) complicated with AD at admission. The numbers and proportions of enrolled patients from each participating centre and the patients' baseline characteristics are presented. FUTURE PLANS A total of 12 months is required for each participant to complete follow-up. Outcome information (survival, death or receiving liver transplantation) collection and data cleansing will be done before June 2020. The data in the CATCH-LIFE validation cohort will be used for comparison between the new ACLF diagnostic criteria derivated from the CATCH-LIFE investigation cohort with existing ones. Moreover, future proteomic and metabolic omics analyses will provide valuable insights into the mechanics of ACLF, which will promote the development of specific therapy that leads to decrease patients' mortality. REGISTRATION NCT03641872.
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Affiliation(s)
- Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China
- National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Tongyu Wang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Dandan Wu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Fuchen Dong
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xin Sun
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
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Sun S, Xu B, Tan W, Xiang X, Zhou Y, Dan Y, Guo Y, Tan Z, Deng G. Testosterone and Estradiol as Novel Prognostic Indicators for HBV-Related Acute-on-Chronic Liver Failure. Front Med (Lausanne) 2021; 8:729030. [PMID: 34568387 PMCID: PMC8455926 DOI: 10.3389/fmed.2021.729030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 06/22/2021] [Accepted: 08/16/2021] [Indexed: 02/05/2023] Open
Abstract
Background: HBV-related acute-on-chronic liver failure (HBV-ACLF) has a high short-term mortality and urgently needs an early warning system with simplicity and high accuracy. Previous studies show that sex hormones play potential roles in the progression of HBV-related liver diseases. Aims: To explore the effect of testosterone and estradiol on the occurrence and prognosis of HBV-ACLF. Methods: A prospective cohort of 300 chronic hepatitis B (CHB) patients was enrolled among which 108 were diagnosed with HBV-ACLF at admission and 20 developed to HBV-ACLF during hospitalization. We compared the level of serum testosterone and estradiol of patients with varied ACLF background, disease severity and cirrhosis conditions and analyzed the predictive ability of short-term prognosis. A novel prognostic model involving testosterone was developed and further validated in the HBV-ACLF group. Results: The baseline estradiol level of HBV-ACLF group was significantly higher while testosterone was lower than that of non-ACLF group. The estradiol level increased while the testosterone level decreased as the number of organ failures increased. Testosterone had high accuracy in predicting the short-term mortality in HBV-ACLF (AUROC = 0.726) and estradiol did better in predicting the occurrence of ACLF during hospitalization (AUROC = 0.695). The novel prognostic model involving testosterone (TATIM model) was proved to have considerable prediction efficiency in HBV-ACLF cohort with or without cirrhosis. Conclusion: Testosterone could be utilized as short-term prognostic indicator for HBV-related ACLF and estradiol can help to predict its occurrence. TATIM model is a novel prognostic model for HBV-related ACLF with simplicity and good performance irrespectively of liver cirrhosis. Clinical Trial Registration Number: This study was based on a sub-cohort from the prospective multicenter cohort (NCT02457637).
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Ji X, Tan W, Zhang C, Zhai Y, Hsueh Y, Zhang Z, Zhang C, Lu Y, Duan B, Tan G, Na R, Deng G, Niu G. TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2. Drug Dev Res 2020; 81:1004-1018. [PMID: 32657473 PMCID: PMC7404951 DOI: 10.1002/ddr.21717] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/05/2020] [Accepted: 06/27/2020] [Indexed: 12/12/2022]
Abstract
Faced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to the "SARS-CoV-2" should be done as quickly as possible to gain a global perspective, which is a basic requirement for strengthening epidemic control capacity. However, for human researchers studying viruses and hosts, the vast amount of information available cannot be processed effectively and in a timely manner, particularly if our scientific understanding is also limited, which further lowers the information processing efficiency. We present TWIRLS (Topic-wise inference engine of massive biomedical literatures), a method that can deal with various scientific problems, such as liver cancer, acute myeloid leukemia, and so forth, which can automatically acquire, organize, and classify information. Additionally, this information can be combined with independent functional data sources to build an inference system via a machine-based approach, which can provide relevant knowledge to help human researchers quickly establish subject cognition and to make more effective decisions. Using TWIRLS, we automatically analyzed more than three million words in more than 14,000 literature articles in only 4 hr. We found that an important regulatory factor angiotensin-converting enzyme 2 (ACE2) may be involved in host pathological changes on binding to the coronavirus after infection. On triggering functional changes in ACE2/AT2R, the cytokine homeostasis regulation axis becomes imbalanced via the Renin-Angiotensin System and IP-10, leading to a cytokine storm. Through a preliminary analysis of blood indices of COVID-19 patients with a history of hypertension, we found that non-ARB (Angiotensin II receptor blockers) users had more symptoms of severe illness than ARB users. This suggests ARBs could potentially be used to treat acute lung injury caused by coronavirus infection.
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Affiliation(s)
- Xiaoyang Ji
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Inner Mongolia Autonomous Region College of Animal ScienceInner Mongolia Agricultural UniversityHohhotChina
- Joint Turing‐Darwin Laboratory of Phil Rivers Technology Ltd. and Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- Department of Computational Biology, Phil Rivers Technology LtdBeijingChina
| | - Wenting Tan
- Department of Infectious DiseasesSouthwest Hospital, Third Military Medical University (Army Medical University)ChongqingChina
| | - Chunming Zhang
- Joint Turing‐Darwin Laboratory of Phil Rivers Technology Ltd. and Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- Department of Computational Biology, Phil Rivers Technology LtdBeijingChina
- Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- West Institute of Computing TechnologyChinese Academy of SciencesChongqingChina
| | - Yubo Zhai
- Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yiching Hsueh
- Joint Turing‐Darwin Laboratory of Phil Rivers Technology Ltd. and Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- Department of Computational Biology, Phil Rivers Technology LtdBeijingChina
| | - Zhonghai Zhang
- Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
| | - Chunli Zhang
- Department of Computational Biology, Phil Rivers Technology LtdBeijingChina
| | - Yanqiu Lu
- Department of Infectious DiseasesChongqing Public Health Medical CenterChongqingChina
| | - Bo Duan
- Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- West Institute of Computing TechnologyChinese Academy of SciencesChongqingChina
| | - Guangming Tan
- Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- West Institute of Computing TechnologyChinese Academy of SciencesChongqingChina
| | - Renhua Na
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Inner Mongolia Autonomous Region College of Animal ScienceInner Mongolia Agricultural UniversityHohhotChina
| | - Guohong Deng
- Department of Infectious DiseasesSouthwest Hospital, Third Military Medical University (Army Medical University)ChongqingChina
| | - Gang Niu
- Joint Turing‐Darwin Laboratory of Phil Rivers Technology Ltd. and Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
- Department of Computational Biology, Phil Rivers Technology LtdBeijingChina
- West Institute of Computing TechnologyChinese Academy of SciencesChongqingChina
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Yu R, Tan S, Dan Y, Lu Y, Zhang J, Tan Z, He X, Xiang X, Zhou Y, Guo Y, Deng G, Chen Y, Tan W. Effect of SARS-CoV-2 coinfection was not apparent on the dynamics of chronic hepatitis B infection. Virology 2020; 553:131-134. [PMID: 33276282 PMCID: PMC7698656 DOI: 10.1016/j.virol.2020.11.012] [Citation(s) in RCA: 8] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 12/15/2022]
Abstract
In patients coinfected with SARS-CoV-2 and HBV, liver injury was common. However, the interactions between SARS-CoV-2 and HBV coinfection remained unknown. Sixty-seven COVID-19 patients from the previous cohort were enrolled and classified into 2 groups (7 with HBsAg+ and 60 with HBsAg-). The association of HBV- and SARS-CoV-2-related markers were analyzed. During the acute course of SARS-CoV-2 infection, markers of HBV replication did not extensively fluctuate during SARS-CoV-2 infection. Coinfection with HBV did not extend the viral shedding cycle or incubation periods of SARS-CoV-2. Effects of SARS-CoV-2 on the dynamics of chronic HBV infection seemed not apparent. SARS-CoV-2 infection would not be the source of HBV reactivation in these individuals.
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Affiliation(s)
- Rentao Yu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Department of Infectious Diseases, The General Hospital of Western Theater Command, Chengdu, Sichuan, 610083, China
| | - Shun Tan
- Intensive Care Unit, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Yunjie Dan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Yanqiu Lu
- Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Juan Zhang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Zhaoxia Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Xiaoqing He
- Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Yanzhi Guo
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China
| | - Yaokai Chen
- Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, 400036, China.
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Research of Infectious Diseases, Chongqing, 400038, China.
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Lai C, Yu R, Wang M, Xian W, Zhao X, Tang Q, Chen R, Zhou X, Li X, Li Z, Li Z, Deng G, Wang F. Shorter incubation period is associated with severe disease progression in patients with COVID-19. Virulence 2020; 11:1443-1452. [PMID: 33108255 PMCID: PMC7595588 DOI: 10.1080/21505594.2020.1836894] [Citation(s) in RCA: 8] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The diagnosed COVID-19 cases revealed that the incubation periods (IP) varied a lot among patients. However, few studies had emphasized on the different clinical features and prognosis of patients with different IP. A total of 330 patients with laboratory-confirmed COVID-19 were enrolled and classified into immediate onset group(IP<3 days, I group, 57 cases) and late onset group(IP>10 days, L group, 75 cases) based on IP. The difference of clinical characteristics and prognosis of the two groups were compared. There were more patients with fever in I group than in L group(P = 0.003), and counts of all the total lymphocytes, total T lymphocytes, CD4 + and CD8 + T lymphocytes were significantly different between the two groups(all P < 0.01). Besides, patients in L group had more GGOs in CT scan than I group and there were more patients in I group receiving antibiotic treatment than in L group(P < 0.001). For disease aggravation, the median CT scores were comparable between the two groups, but individually, there were more patients with increased CT score during hospitalization in I group than in L group. The aggravation incidence of CT presentation was 21.1% in I group, significantly higher than L group(8.0%, P = 0.042). Multivariable COX models suggested that IP was the only independent factors for CT aggravation. Conclusively, patients with different IP were different in clinical symptoms, laboratory tests, and CT presentations. Shorter IP was associated with the aggravation of lung involvement in CT scan.
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Affiliation(s)
- Changxiang Lai
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Rentao Yu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University) , Chongqing, China.,Department of Infectious Diseases, The General Hospital of Western Theater Command , Chengdu, Sichuan, China
| | - Mingbo Wang
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Wenjie Xian
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Xin Zhao
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Qiyuan Tang
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Ruikun Chen
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Xuan Zhou
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Xuan Li
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Zhiyu Li
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Zhiwei Li
- Department of Hepatobiliary Surgery, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University) , Chongqing, China
| | - Fang Wang
- Department of Liver Diseases, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, the Second Affiliated Hospital of Southern University of Science and Technology , Shenzhen, Guangdong, China
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Zhang P, Dai P, Deng G, Luo L, Huang Q, Cai L. Dosimetric Analysis of DVO and PO Algorithm in Pediatric Craniospinal Irradiation With Intensity-Modulated Radiotherapy. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2392] [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: 11/28/2022]
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Peng B, He SC, Zhu HD, Fang W, Du RJ, Wei TF, Guo JH, Deng G, Zhu GY, Chen L, Teng GJ. [Analysis of the effect of percutaneous vertebroplasty combined with (125)I seed implantation in the treatment of spinal metastatic epidural spinal cord compression]. Zhonghua Yi Xue Za Zhi 2020; 100:2940-2946. [PMID: 32993255 DOI: 10.3760/cma.j.cn112137-20200316-00780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the clinical efficacy of percutaneous vertebroplasty (PVP) combined with iodine-125 ((125)I) seed brachytherapy in the treatment of spinal metastatic epidural spinal cord compression (MESCC) and toassess the changes inthe grade of epidural spinal cord compression (ESCC) by magnetic resonance imaging (MRI). Methods: A total of 37 MESCC patients treated with PVP combined with (125)I seed brachytherapy in the interventional and vascular surgery department of Zhongda Hospital affiliated to Southeast University from January 2014 to June 2019 were retrospectively analyzed, including 23 cases of bilateral lower limbs paralysis. Total diseased vertebrae are 39 segments. Visual analogue scale (VAS) and paralysis of lower extremities were evaluated regularly before and after treatment, and VAS values at different follow-up time points were compared. At the same time, MRI was used to evaluate the changes of ESCC grade in the spinal canal and calculate the local lesion efficiency after operation. The postoperative local lesion efficiency at different follow-up times was compared. Results: PVP combined with (125)I seed implantation in all diseased vertebral bodies was successful. The average injection volume of polymethylmethacrylate (PMMA) was (3.2±1.3) ml/segment, the average number of (125)I seed implanted was (25.0±8.6) seeds/segment and the average radiation dose was (15.0±5.1) mCi/segment. The VAS before operation was 8.5, and postoperative VAS were respectively 3.6±1.3, 3.8±1.5, 3.4±1.4, 5.5±1.0, 5.9±1.4 at 5 days, 1 month, 3 months, 6 months, and 1 year after operation. The differences between all follow-up time points and preoperative VAS values were statistically significant (all P<0.001). Compared with 5 days, 1 month and 3 months after operation, VAS increased significantly at 6 months and 1 year after operation, and the difference was statistically significant (all P<0.001); there was no significant difference between the VAS value at 6 months after operation and 1 year after operation (P=0.405). At a follow-up of 3 months, 22 of 23 patients with paralysis of bilateral lower limbs regained the functions of autonomous walking and voiding; the effective rates of MESCC local lesions evaluated by MRI at 1 month, 3 months, 6 months, and>1 year were 89.7%, 91.9%, 90.6%, and 94.7%, respectively, and there was no statistically significant differences among those follow-up time points (all P>0.05). Conclusions: PVP combined with (125)I seed brachytherapy in the treatment of MESCC has significant improvement in immediate pain relief and spinal cord function. After combined treatment, MRI showed that the tumors around the spinal cord regressed dramatically, which could considerably reduce the MESCC grade and remain stable for a long time.
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Affiliation(s)
- B Peng
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - S C He
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - H D Zhu
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - W Fang
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - R J Du
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - T F Wei
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - J H Guo
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - G Deng
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - G Y Zhu
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - L Chen
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - G J Teng
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
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Li B, Gao Y, Wang X, Qian Z, Meng Z, Huang Y, Deng G, Lu X, Liu F, Zheng X, Li H, Chen J. Clinical features and outcomes of bacterascites in cirrhotic patients: A retrospective, multicentre study. Liver Int 2020; 40:1447-1456. [PMID: 32128975 DOI: 10.1111/liv.14418] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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: 11/11/2019] [Revised: 02/02/2020] [Accepted: 02/19/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND & AIMS Current guidelines on the management of bacterascites are limited. This multicentre, retrospective study investigated the clinical features and outcomes of cirrhosis patients with bacterascites. METHODS Two series of cirrhosis patients were evaluated. The first included 418 patients with ascites-positive cultures at 11 hospitals during 2012-2018. Clinical characteristics and outcomes were recorded. The second included 208 patients with sterile ascites from a prospective cohort (NCT02457637). Clinical features and outcomes of cirrhotic patients with or without bacterascites were investigated. RESULTS In the first series, bacterascites was diagnosed in 254/418 (60.8%) patients, and culture-positive spontaneous bacterial peritonitis (SBP) in 164/418 (39.2%) patients. Gram-positive bacteria were more prevalent in bacterascites patients than in culture-positive SBP patients (59.1% vs 22.0%; P < .001). For patients with acute-on-chronic liver failure (ACLF) in bacterascites and culture-positive SBP groups, the 28-day transplant-free mortality (41.3% vs 65.5%; P = .015) and the prevalence of in-hospital acute kidney injury (AKI) (84.8% vs 75%; P = .224). For patients without ACLF in the bacterascites (n = 208) and culture-positive SBP groups (n = 108), the 28-day transplant-free mortalities were 13% vs 13.9% (P = .822), the probabilities of progression to ACLF within 28 days were 10.1% vs 14.8% (P = .216) and the prevalences of in-hospital AKI were 14.4% vs 30.6% (P = .001). Bacterascites patients had higher 28-day mortality than those patients with sterile ascites, after propensity score matching (18.4% vs 8.6%; P = .010). CONCLUSION Bacterascites patients had non-negligible poor clinical outcomes, including in-hospital AKI, progression to ACLF and 28-day mortality. Future studies are warranted to expedite the diagnosis of bacterascites and optimize antibiotic treatment.
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Affiliation(s)
- Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University (JU), Jilin, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (SPHCC), Fudan University, Shanghai, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Zhongji Meng
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Hubei, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Hunan, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Xiaobo Lu
- Infectious Disease Centre, The First Affiliated Hospital of Xinjiang Medical University (XMU), Xinjiang, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University (SDU), Jinan, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Chinese (acute on) Chronic Liver Failure Consortium (Ch-CLIF.C), China
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Ji C, Deng G, Guevara-Oquendo VH, Zhang X, Yan X, Zhang H, Yu P. Infrared attenuated total reflection spectroscopic analysis and quantitative detection of forage spectral features in ruminant systems. Spectrochim Acta A Mol Biomol Spectrosc 2020; 228:117630. [PMID: 31761542 DOI: 10.1016/j.saa.2019.117630] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 07/11/2019] [Accepted: 10/06/2019] [Indexed: 06/10/2023]
Abstract
This study aimed to (1) access protein molecular structure profile and metabolic characteristics of model forages [Foreign sourced-origin (coded as: "FSO", n = 7 vs. Chinese sourced-origin alfalfa hay "CSO", n = 5] in ruminant systems; (2) Quantify the relationship between forage protein molecular structures and protein utilization and availability. Advanced non-invasive vibrational molecular spectroscopic technique (ATR-FTIR: Attenuated Total Reflection Fourier Transform Infrared spectroscopy) with chemometrics was applied to reveal forage protein molecular structure. Both univariate and multivariate molecular spectral analyses were applied to study molecular structure features in model forages. The molecular structure study provided the detailed protein structure profiles of Amide I and Amide II areas and height, total Amide I and II area ratios, Amide I to II height ratio as well as Amide I to II area ratio using ATR-FTIR spectroscopy. The results showed FSO and CSO had similar (P > 0.05) protein rumen degradation kinetics. However, FSO had superior quality than CSO in intestinal (IDP) and total digestible protein (TDP) and truly absorbed nutrient supply (P < 0.05). As intestinal digestion of protein, FSO was higher (P < 0.05) in protein digestion in terms of: intestinal digestibility of rumen undegraded protein (dIDP: 47.5 vs. 38.3 %RUP); Intestinal digestible protein (IDP: 17.6 vs. 13.7 %CP). As truly absorbed nutrient supply, FSO contained higher (P < 0.05) truly absorbed rumen synthesized microbial protein, absorbable rumen undegradable feed protein in the small intestine, total truly digested protein in the small intestine, metabolizable protein and Feed Milk Value (FMVDVE: 1.2 vs. 1.1 g/kg DM). The molecular structure-nutrition interactive relationship study showed that protein molecular structure profiles were highly associated to protein rumen degradation kinetics, significantly correlated to protein subfractions, protein intestinal digestion, and truly absorbed nutrient supply in ruminant systems.
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Affiliation(s)
- C Ji
- College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, 22 Jinjin Road, Tianjin 300384, China; Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - G Deng
- College of Life Science and Engineering, Foshan University, Guangdong, China; Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - V H Guevara-Oquendo
- Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - X Zhang
- College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, 22 Jinjin Road, Tianjin 300384, China.
| | - X Yan
- The Branch Academy of Animal Science, Jilin Academy of Agricultural Sciences, Gongzhuling, Jilin 136100, China
| | - H Zhang
- College of Life Science and Engineering, Foshan University, Guangdong, China
| | - P Yu
- Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
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Liu J, Gao Y, Wang X, Qian Z, Chen J, Huang Y, Meng Z, Lu X, Deng G, Liu F, Zhang Z, Li H, Zheng X. Culture-Positive Spontaneous Ascitic Infection in Patients with Acute Decompensated Cirrhosis: Multidrug-Resistant Pathogens and Antibiotic Strategies. Yonsei Med J 2020; 61:145-153. [PMID: 31997623 PMCID: PMC6992456 DOI: 10.3349/ymj.2020.61.2.145] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 09/27/2019] [Revised: 12/13/2019] [Accepted: 12/16/2019] [Indexed: 12/15/2022] Open
Abstract
PURPOSE This study investigated multidrug-resistant (MDR) pathogens and antibiotic strategies of culture-positive spontaneous ascitic infection (SAI) in patients with acute decompensated cirrhosis. MATERIALS AND METHODS We retrospectively analyzed 432 acute decompensated cirrhotic patients with culture-positive SAI from 11 teaching hospitals in China (January 2012 to May 2018). A Cox proportional hazards model analysis was conducted to identify independent predictors of 28-day mortality. RESULTS A total of 455 strains were isolated from 432 ascitic culture samples. Gram-negative bacteria (GNB), gram-positive bacteria (GPB), and fungi caused 52.3, 45.5, and 2.2% of all SAI episodes, respectively. Episodes were classified as nosocomial (41.2%), healthcare-related (34.7%), and community-acquired (24.1%). Escherichia coli (13.4%) and Klebsiella pneumoniae (2.4%) were extended-spectrum β-lactamase producing isolates. The prevalence of methicillin-resistant Staphylococcus aureus was 1.1%. Ceftazidime, cefepime, aztreonam, and amikacin were recommended as first-line antibiotics agents for non-MDR GNB infections; piperacillin/tazobactam and carbapenems for MDR GNB in community-acquired and healthcare-related or nosocomial infections, respectively; and vancomycin or linezolid for GPB infections, regardless of drug-resistance status. Multivariate analysis revealed days of hospital stay before SAI, upper gastrointestinal bleeding, white blood cell count, alanine aminotransferase, serum creatinine concentration, total bilirubin, and international normalized ratio as key independent predictors of 28-day mortality. CONCLUSION MDR pathogens and antibiotic strategies were identified in patients with acute decompensated cirrhosis with culture-positive SAI, which may help optimize therapy and improve clinical outcomes.
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Affiliation(s)
- Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
| | - Yanhang Gao
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Xianbo Wang
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhiping Qian
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jinjun Chen
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Huang
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Infectious Disease, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongji Meng
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiaobo Lu
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Liver Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumuqi, China
| | - Guohong Deng
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Feng Liu
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Zhiguo Zhang
- School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Hai Li
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Chinese Acute-on-Chronic Liver Failure Consortium, CATCH-LIFE, Shanghai, China.
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Wang H, Luo H, Wan X, Fu X, Mao Q, Xiang X, Zhou Y, He W, Zhang J, Guo Y, Tan W, Deng G. TNF-α/IFN-γ profile of HBV-specific CD4 T cells is associated with liver damage and viral clearance in chronic HBV infection. J Hepatol 2020; 72:45-56. [PMID: 31499130 DOI: 10.1016/j.jhep.2019.08.024] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [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: 01/21/2019] [Revised: 08/16/2019] [Accepted: 08/16/2019] [Indexed: 12/04/2022]
Abstract
BACKGROUND & AIMS The role of hepatitis B virus (HBV)-specific CD4 T cells in patients with chronic HBV infection is not clear. Thus, we aimed to elucidate this in patients with chronic infection, and those with hepatitis B flares. METHODS Through intracellular IFN-γ and TNF-α staining, HBV-specific CD4 T cells were analyzed in 68 patients with chronic HBV infection and alanine aminotransferase (ALT) <2x the upper limit of normal (ULN), and 28 patients with a hepatitis B flare. HBV-specific HLA-DRB1*0803/HLA-DRB1*1202-restricted CD4 T cell epitopes were identified. RESULTS TNF-α producing cells were the dominant population in patients' HBV-specific CD4 T cells. In patients with ALT <2xULN, both the frequency and the dominance of HBV-specific IFN-γ producing CD4 T cells increased sequentially in patients with elevated levels of viral clearance: HBV e antigen (HBeAg) positive, HBeAg negative, and HBV surface antigen (HBsAg) negative. In patients with a hepatitis B flare, the frequency of HBV core-specific TNF-α producing CD4 T cells was positively correlated with patients' ALT and total bilirubin levels, and the frequency of those cells changed in parallel with the severity of liver damage. Patients with HBeAg/HBsAg loss after flare showed higher frequency and dominance of HBV-specific IFN-γ producing CD4 T cells, compared to patients without HBeAg/HBsAg loss. Both the frequency and the dominance of HBV S-specific IFN-γ producing CD4 T cells were positively correlated with the decrease of HBsAg during flare. A differentiation process from TNF-α producing cells to IFN-γ producing cells in HBV-specific CD4 T cells was observed during flare. Eight and 9 HBV-derived peptides/pairs were identified as HLA-DRB1*0803 restricted epitopes and HLA-DRB1*1202 restricted epitopes, respectively. CONCLUSIONS HBV-specific TNF-α producing CD4 T cells are associated with liver damage, while HBV-specific IFN-γ producing CD4 T cells are associated with viral clearance in patients with chronic HBV infection. LAY SUMMARY TNF-α producing cells are the dominant population of hepatitis B virus (HBV)-specific CD4 T cells in patients with chronic HBV infection. This population of cells might contribute to the aggravation of liver damage in patients with a hepatitis B flare. HBV-specific IFN-γ producing CD4 T cells are associated with HBV viral clearance. Differentiation from HBV-specific TNF-α producing CD4 T cells into HBV-specific IFN-γ producing CD4 T cells might favor HBV viral clearance.
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Affiliation(s)
- Haoliang Wang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Heng Luo
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Xing Wan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Xiaolan Fu
- Institute of Immunology, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Qing Mao
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Weiwei He
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Juan Zhang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Yanzhi Guo
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
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Abstract
Regulatory T cells (Tregs) are specialized in immune suppression and play a dominant role in peripheral immune tolerance. Treg cell lineage development and function maintenance is determined by the forkhead box protein 3 (FoxP3) transcriptional factor, whose activity is fine‐tuned by its post‐translational modifications (PTMs) and interaction partners. In this review, we summarize current studies in the crystal structures, the PTMs and interaction partners of FoxP3 protein, and discuss how these insights may provide a roadmap for new approaches to modulate Treg suppression, and new therapies to enhance immune tolerance in autoimmune diseases.
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Affiliation(s)
- G Deng
- Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China
| | - X Song
- State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - M I Greene
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Wang W, Yu R, Tan W, Dan Y, Deng G, Xia J. A patient with glycogen storage disease type Ia combined with chronic hepatitis B infection: a case report. BMC Med Genet 2019; 20:85. [PMID: 31109299 PMCID: PMC6528214 DOI: 10.1186/s12881-019-0816-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 04/25/2019] [Indexed: 01/21/2023]
Abstract
BACKGROUND Glycogen storage disease type I (GSD I), also known as von Gierk disease, is a metabolic disorder leading to the excessive accumulation of glycogen and fat in organs, characterized by hepatomegaly, hypoglycemia, lactic acidemia, hyperlipidemia, hyperuricemia, puberty delay and growth retardation, which can be indicated by height, weight, blood glucose and blood lipids. CASE PRESENTATION Here we present a 16-year-old male patient with GSD Ia complicated with hepatic adenoma and combined with hepatitis B. As a chronic hepatitis B patient, the patient was admitted to hospital in order to further clarify the nature of hepatic space occupancy because of suspicion of hepatocellular carcinoma. However, the imaging studies did not support hepatocellular carcinoma certainly. And by tracing his clinical history, we suggested that he might suffer from GSD I. Finally the diagnosis was confirmed by MRI (Gd-EOB-DTPA), liver biopsy and whole exome sequencing (WES). The WES discovered a homozygous point mutation at the exon 5 of G6PC gene at 17th chromosome, c.G648 T (p.L216 L, NM_000151, rs80356484). This pathogenic mutation causes CTG changing to CTT at protein 216. Though both codons encode leucine, this silent mutation creates a new splicing site 91 bp downstream of the authentic splice site. According to previous research, this mutation is a disease causal variant for GSD Ia, and has a high frequency among GSD patients in China and Japan. This patient was finally diagnosed as GSD Ia complicated with hepatic adenoma and combined with chronic hepatitis B, and received corn starch therapy immediately after GSD was suspected. After receiving corn starch therapy, the height and weight of the patient were increased, and the secondary sexual characteristics were developed, including beard, pubic hair and seminal emission. Unexpectedly, the liver adenomas were still increasing, and we did not find any cause to explain this phenomenon. CONCLUSION This patient was diagnosed as GSD Ia combined with chronic hepatitis B, who responded to corn starch intervention. For childhood patients with hypoglycaemia, hyperlipidemia, puberty delay and growth retardation, GSD should be considered. Gene sequencing is valuable for the quick identification of GSD subtypes.
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Affiliation(s)
- Wenying Wang
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.,Chongqing Key Laboratory of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China
| | - Rentao Yu
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.,Chongqing Key Laboratory of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.,Department of Respiratory, the General Hospital of Western Theater Command, Chengdu, 460000, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.,Chongqing Key Laboratory of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China
| | - Yunjie Dan
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.,Chongqing Key Laboratory of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China. .,Chongqing Key Laboratory of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.
| | - Jie Xia
- Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, 400038, China.
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Quillinan N, Dingman AL, Deng G, Tatum S, Orfila JE, Clevenger AC, Klawitter J, Traystman RJ, Herson PS. Single dose of 17β-estradiol provides transient neuroprotection in female juvenile mice after cardiac-arrest and cardiopulmonary resuscitation. Neurochem Int 2018; 127:80-86. [PMID: 30471325 DOI: 10.1016/j.neuint.2018.11.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 11/15/2018] [Accepted: 11/15/2018] [Indexed: 01/14/2023]
Abstract
Each year there are approximately 7000 out of hospital cardiac arrests in the pediatric population, with 30% resuscitation rate and a 6-10% rate of survival to hospital discharge. Survivors of cardiac arrest exhibit learning and memory deficits that are devastating during the school years. Delayed neuronal cell death occurs in the hippocampus following cardiac arrest and likely contributes to memory impairments. Circulating endogenous estrogen in young adult females has been shown to provide protection against ischemic cell death, as does chronic exogenous administration of 17β-estradiol (E2). Chronic estrogen benefit can have undesirable feminizing effects, particularly in pre-adolescents. Here, we tested if a single-dose of E2 is neuroprotective in our pediatric cardiac arrest mouse model performed in juvenile mice. We subjected P21P25 C57Blk6 male and female mice to 8 min of cardiac arrest followed by cardiopulmonary resuscitation (CA/CPR). This developmental stage preceded the hormonal onset and serum estradiol and testosterone levels were not different in males and females. A single dose of E2 (100μg/kg) or vehicle was administered 30 min after resuscitation. Neuronal cell death measured 3 days after CA/CPR showed reduced hippocampal cell death in E2-treated females, but not males. Benefit of E2 in females was blocked by the P38 MAPK inhibitor, SB203580. Hippocampal-dependent memory function was equally impaired in E2-and vehicle-treated females measured in the contextual fear conditioning task at 7 days. Our findings demonstrate female-specific transient neuroprotection with E2 that does not provide sustained functional benefit.
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Affiliation(s)
- N Quillinan
- Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, USA
| | - A L Dingman
- Department of Pediatrics, Division of Child Neurology, Intensive Care Unit, University of Colorado, Anschutz Medical Campus, USA
| | - G Deng
- Department of Pharmacology, University of Colorado, Anschutz Medical Campus, USA
| | - S Tatum
- Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, USA
| | - J E Orfila
- Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, USA
| | - A C Clevenger
- Department of Pediatrics, Intensive Care Unit, University of Colorado, Anschutz Medical Campus, USA
| | - J Klawitter
- Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, USA
| | - R J Traystman
- Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, USA
| | - P S Herson
- Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, USA; Department of Pharmacology, University of Colorado, Anschutz Medical Campus, USA.
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Sun FH, He SC, Zhu HD, Fang W, Du RJ, Li SS, Guo JH, Deng G, Qin YL, Zhu GY, Teng GJ. [Cement augmentation for vertebral osteolytic metastatic lesions: an evaluation on postoperative CT]. Zhonghua Yi Xue Za Zhi 2018; 98:2661-2665. [PMID: 30220155 DOI: 10.3760/cma.j.issn.0376-2491.2018.33.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the effectiveness of cement augmentation on the osteolytic lesion in patients with vertebral metastasis. Methods: A total of consecutive 132 patients with 268 vertebral metastatic lesions treated with PVP from January 2008 to December 2016 in Zhongda Hospital were enrolled in this study. Retrospective analysis of preoperative, postoperative 3 days, 3 months, 6 months, 12 months and ≥ 18 months imaging data on CT, the local control and progression of the tumor were evaluated by MDA response criteria. The local control rates were compared between the groups with the different rate of cement filling by Chi2-test. Results: Vertebroplasty procedures were performed successfully in all 268 vertebrae under DSA guidance, and the mean volume of PMMA injected in each vertebra was 0.7-8.5(3.9±1.5)ml.The rate of local control at 3 months, 6 months, 12 months and ≥18 months after PVP was respectively 98.9%, 95.1%, 91.8%, and 85.2%, the difference was statistically significant(all P<0.05). The local control rate showed a statistically significant relationship to the groups with the rate of cement filling at 6 months, 12 months and ≥18 months after PVP, but there was no statistical difference at postoperative 3 months. The rate of local control was higher in 68 patients with lung or gastrointestinal cancer than in 17 patients with liver or kidney cancer at 3 months, 6 months and 12 months, the difference was statistically significant (P<0.05). Conclusion: Cement augmentation has a local anti-tumor effect on vertebral osteolytic metastatic lesion, and the anti-tumor effect will decrease as the follow-up time extended.
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Affiliation(s)
- F H Sun
- Department of Radiology, the Affiliated Zhongda Hospital, Southeast University, Nanjing 210009, China
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Deng G, Zhang Y, Luo X, Yang J. Hydrothermal leather waste by hydrothermal method for uranium (VI) removal from a Simulated Saline Solution. Appl Organomet Chem 2018. [DOI: 10.1002/aoc.4473] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Guohong Deng
- Department of Life Science and Engineering; Southwest University of Science and Technology; Mianyang Sichuan 621010 China
- Engineering Research Center of Biomass Materials, Ministry of Education; Mianyang Sichuan 621010 China
| | - Yu Zhang
- Department of Life Science and Engineering; Southwest University of Science and Technology; Mianyang Sichuan 621010 China
- Engineering Research Center of Biomass Materials, Ministry of Education; Mianyang Sichuan 621010 China
| | - Xuegang Luo
- Department of Life Science and Engineering; Southwest University of Science and Technology; Mianyang Sichuan 621010 China
- Engineering Research Center of Biomass Materials, Ministry of Education; Mianyang Sichuan 621010 China
| | - Jiayi Yang
- Engineering Research Center of Biomass Materials, Ministry of Education; Mianyang Sichuan 621010 China
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Hirata H, Hinoda Y, Shahryari V, Deng G, Tanaka Y, Tabatabai ZL, Dahiya R. Correction: Genistein downregulates onco-miR-1260b and upregulates sFRP1 and Smad4 via demethylation and histone modification in prostate cancer cells. Br J Cancer 2018; 119:388. [PMID: 29930252 PMCID: PMC6068093 DOI: 10.1038/s41416-018-0146-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- H Hirata
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - Y Hinoda
- Department of Oncology and Laboratory Medicine, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - V Shahryari
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - G Deng
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - Y Tanaka
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - Z L Tabatabai
- Department of Pathology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA
| | - R Dahiya
- Department of Urology, San Francisco Veterans Affairs Medical Center and University of California at San Francisco, San Francisco, CA, USA.
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