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Liu H, Lyu H, Jiang X, Wang L, Li H, Wei X, Li L, Zhu J, Fan Y, Wang K. Superoxide dismutase 2 as a predictor in patients with hepatitis B virus-associated acute-on-chronic liver failure. Clin Exp Med 2023; 23:2181-2192. [PMID: 36598672 DOI: 10.1007/s10238-022-00979-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 12/11/2022] [Indexed: 01/05/2023]
Abstract
The prognosis of hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) is critical in clinical management. We aimed to assess the prognostic efficacy of superoxide dismutase 2 (SOD2) for 90-day mortality in HBV-ACLF patients. The expression patterns of SOD2 in peripheral blood mononuclear cells (PBMCs) were examined in a derivation set (n = 82) by quantitative real-time polymerase chain reaction (RT-qPCR). The results were further validated in a validation set (n = 35). The expression levels of SOD2 were significantly decreased in the derivation set compared to those with chronic hepatitis B (CHB) or the healthy controls (HCs) (P < 0.001). In HBV-ACLF patients, SOD2 levels were negatively correlated with serum total bilirubin (TBIL) (rs = - 0.43, P < 0.001) and model for end-stage liver disease (MELD) scores (rs = - 0.22, P = 0.047), but positively correlated with alkaline phosphatase (AKP) (rs = 0.23, P = 0.034). SOD2 was identified as an independent risk factor for 90-day mortality in HBV-ACLF patients (hazard ratio: 0.124, 95% confidence interval: 0.059-0.261, P < 0.001). SOD2 yielded a larger area under the receiver operating characteristic curve (AUROC) than the MELD score in predicting 90-day mortality (0.914 vs. 0.712, P < 0.001). Kaplan-Meier analysis revealed a favorable overall survival (OS) for the SOD2 high expression group compared with the SOD2 low expression group in both the derivation and validation sets (P < 0.001). SOD2 has promising potential as a predictor of 90-day mortality in patients with HBV-ACLF.
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Affiliation(s)
- Huihui Liu
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Hui Lyu
- Department of Severe Liver Disease, Shandong Public Health Clinical Center of Shandong University, Jinan, 250000, Shandong, China
| | - Xuemei Jiang
- Department of Hepatology, Shandong Public Health Clinical Center of Shandong University, Jinan, 250000, Shandong, China
| | - Li Wang
- Central Laboratory, Qishan Hospital of Yantai, Yantai, 264000, Shandong, China
| | - Haiming Li
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Xuefei Wei
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Linlin Li
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Jinyu Zhu
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Yuchen Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
- Shenzhen Research Institute of Shandong University, Shenzhen, 518000, China
- Institute of Hepatology, Shandong University, Jinan, 250000, Shandong, China
| | - Kai Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China.
- Shenzhen Research Institute of Shandong University, Shenzhen, 518000, China.
- Institute of Hepatology, Shandong University, Jinan, 250000, Shandong, China.
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Ni W, Breitner S, Nikolaou N, Wolf K, Zhang S, Peters A, Herder C, Schneider A. Effects of Short- And Medium-Term Exposures to Lower Air Temperature on 71 Novel Biomarkers of Subclinical Inflammation: Results from the KORA F4 Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:12210-12221. [PMID: 37552838 PMCID: PMC10448716 DOI: 10.1021/acs.est.3c00302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 07/26/2023] [Accepted: 07/26/2023] [Indexed: 08/10/2023]
Abstract
Increasing evidence has revealed that exposure to low temperatures is linked to a higher risk of chronic diseases and death; however, the mechanisms underlying the observed associations are still poorly understood. We performed a cross-sectional analysis with 1115 participants from the population-based KORA F4 study, which was conducted in Augsburg, Germany, from 2006 to 2008. Seventy-one inflammation-related protein biomarkers were analyzed in serum using proximity extension assay technology. We employed generalized additive models to explore short- and medium-term effects of air temperature on biomarkers of subclinical inflammation at cumulative lags of 0-1 days, 2-6 days, 0-13 days, 0-27 days, and 0-55 days. We found that short- and medium-term exposures to lower air temperature were associated with higher levels in 64 biomarkers of subclinical inflammation, such as Protein S100-A12 (EN-RAGE), Interleukin-6 (IL-6), Interleukin-10 (IL-10), C-C motif chemokine 28 (CCL28), and Neurotrophin-3 (NT-3). More pronounced associations between lower air temperature and higher biomarker of subclinical inflammation were observed among older participants, people with cardiovascular disease or prediabetes/diabetes, and people exposed to higher levels of air pollution (PM2.5, NO2, and O3). Our findings provide intriguing insight into how low air temperature may cause adverse health effects by activating inflammatory pathways.
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Affiliation(s)
- Wenli Ni
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer
School of Public Health, LMU Munich, Munich 81377, Germany
| | - Susanne Breitner
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer
School of Public Health, LMU Munich, Munich 81377, Germany
| | - Nikolaos Nikolaou
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer
School of Public Health, LMU Munich, Munich 81377, Germany
| | - Kathrin Wolf
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
| | - Siqi Zhang
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
| | - Annette Peters
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer
School of Public Health, LMU Munich, Munich 81377, Germany
- German
Center for Diabetes Research (DZD), München-Neuherberg, Munich D-85764, Germany
- German Centre
for Cardiovascular Research (DZHK), Partner
Site Munich Heart Alliance, Munich 80802, Germany
| | - Christian Herder
- Institute
for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University
Düsseldorf, Düsseldorf 40225, Germany
- Division
of Endocrinology and Diabetology, Medical Faculty and University Hospital
Düsseldorf, Heinrich Heine University
Düsseldorf, Düsseldorf 40204, Germany
- German
Center for Diabetes Research (DZD), München-Neuherberg, Munich D-85764, Germany
| | - Alexandra Schneider
- Institute
of Epidemiology, Helmholtz Zentrum München
- German Research Center for Environmental Health (GmbH), Neuherberg D-85764, Germany
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3
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Hassan HM, Cai Q, Liang X, Xin J, Ren K, Jiang J, Shi D, Lu Y, Li T, Shang Y, He L, Chen X, Sun S, Li P, Guo B, Chen J, Yang H, Hu W, Chen X, Li J. Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in rats. Life Sci Alliance 2021; 5:5/3/e202101189. [PMID: 34853163 PMCID: PMC8645333 DOI: 10.26508/lsa.202101189] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/17/2021] [Accepted: 11/17/2021] [Indexed: 12/03/2022] Open
Abstract
Liver tissue transcriptomics of liver cirrhosis (LC)–based acute-on-chronic liver failure (ACLF) rats reveal immune-metabolism disorder as the core mechanism underlying ACLF development and prognosis. Acute-on-chronic liver failure (ACLF) is clinical syndrome with high mortality rate. This study aimed to perform detailed transcriptomic analysis in liver cirrhosis–based ACLF rats to elucidate ACLF pathogenesis. ACLF was induced by combined porcine serum with D-galactosamine and lipopolysaccharide. Gene expression profile of liver tissues from ACLF rats was generated by transcriptome sequencing to reveal the molecular mechanism. ACLF rats successfully developed with typical characteristics. Total of 2,354/3,576 differentially expressed genes were identified when ACLF was compared to liver cirrhosis and normal control, separately. The functional synergy analysis revealed prominent immune dysregulation at ACLF stage, whereas metabolic disruption was significantly down-regulated. Relative proportions of innate immune–related cells showed significant elevation of monocytes and macrophages, whereas adaptive immune–related cells were reduced. The seven differentially expressed genes underlying the ACLF molecular mechanisms were externally validated, among them THBS1, IL-10, and NR4A3 expressions were confirmed in rats, patient transcriptomics, and liver biopsies, verifying their potential value in the ACLF pathogenesis. This study indicates immune-metabolism disorder in ACLF rats, which may provide clinicians new targets for improving intervention strategies.
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Affiliation(s)
- Hozeifa M Hassan
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Qun Cai
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Xi Liang
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Jiaojiao Xin
- 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, Zhejiang University School of Medicine, Hangzhou, China.,Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Keke 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Jiang
- 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, Zhejiang University School of Medicine, Hangzhou, China.,Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Dongyan 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, Zhejiang University School of Medicine, Hangzhou, China.,Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Yingyan Lu
- Key Laboratory of Cancer Prevention and Therapy Combining Traditional Chinese and Western Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Tan Li
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuxin Shang
- Imperial College London, South Kensington Campus, London, UK
| | - Lulu He
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Xi Chen
- Shanghai Pinghe School, Shanghai, China
| | - Suwan Sun
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Peng Li
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Beibei Guo
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaxian Chen
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Yang
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Wen Hu
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Xin Chen
- Institute of Pharmaceutical Biotechnology and The First Affiliated Hospital Department of Radiation Oncology, Zhejiang University School of Medicine, Hangzhou, China.,Joint Institute for Genetics and Genome Medicine Between Zhejiang University and University of Toronto, Zhejiang University, Hangzhou, China
| | - Jun Li
- 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, Zhejiang University School of Medicine, Hangzhou, China .,Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
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Evaluation of prognostic value of neutrophil-to-lymphocyte ratio in patients with acute-on-chronic liver failure or severe liver injury from chronic HBV infection. Eur J Gastroenterol Hepatol 2021; 33:e670-e680. [PMID: 34074984 DOI: 10.1097/meg.0000000000002207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND AIMS Acute-on-chronic liver failure (ACLF) is associated with bacterial infection and poor outcome. Neutrophil-to-lymphocyte ratio (NLR) is used to assess bacterial infection and immune dysfunction in numerous diseases. We aimed to evaluate NLR as a prognostic biomarker and to explore its combination with accepted prognostic models in ACLF patients. METHODS This retrospective study included patients with ACLF or severe liver injury from chronic HBV infection admitted to three tertiary academic hospitals in China from 2013 to 2019. Baseline NLR was correlated with ACLF grade, bacterial infection, survival and accepted ACLF scores. RESULTS Baseline NLR values were significantly increased in nonsurvivors and patients with bacterial infection at or after admission and were unaffected by cirrhotic status in 412 transplant-free patients included in three cohorts. Compared with accepted scores, NLR showed moderate accuracy in predicting 28-day mortality and high accuracy in predicting 90-day mortality. Three levels of mortality risk were graded on the basis of NLR values (<3.10, 3.10-4.79 and >4.79), and NLR >4.79 was associated with 53.2-60.0% 28-day and 75.0-80.0% 90-day mortality in these cohorts. Multivariate analyses indicated that NLR retained statistical significance independently of CLIF consortium organ failure score (CLIF-C OFs). NLR-based CLIF-C ACLF score was primarily developed and showed excellent performance in predicting 28/90-day mortality. CONCLUSIONS NLR is a dependable biomarker for bacterial infection assessment and short-term mortality prediction in ACLF patients and can be used jointly with CLIF-C OFs to improve the accuracy of mortality prediction in patients with the disease. NLR-based CLIF-C ACLF model needs further validation.
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5
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Gao S, Fan YC, Han LY, Wang K. Serum exosomal long noncoding RNA nuclear-enriched abundant transcript 1 predicts 90-day mortality in acute-on-chronic hepatitis B liver failure. Expert Rev Clin Immunol 2021; 17:789-797. [PMID: 34057878 DOI: 10.1080/1744666x.2021.1933442] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 05/19/2021] [Indexed: 01/05/2023]
Abstract
Objectives: Acute-on-chronic hepatitis B liver failure (ACHBLF) is characterized by high short-term mortality, calling for accurate prognostic biomarkers. This study aims to evaluate the predictive value of serum exosomal long noncoding RNA nuclear-enriched abundant transcript 1 (lncRNA NEAT1) for 90-day mortality of ACHBLF.Methods: This prospective study consisted of 113 ACHBLF patients from June 2013 to June 2017 as a training cohort and 72 ACHBLF patients from July 2017 to June 2020 as a validating cohort. LncRNA NEAT1 was detected using quantitative real-time polymerase chain reaction from serum exosomes.Results: LncRNA NEAT1 levels were higher in non-survivors than survivors (P< 0.01). In the training cohort, lncRNA NEAT1 (HR 1.049, 95%CI 1.023-1.075, P< 0.001) was an independent predictor for 90-day mortality of ACHBLF. Meanwhile, lncRNA NEAT1 showed significantly higher area under the curve of receiver operating characteristic (AUC) than MELD score in the training and validation cohort (P< 0.05, respectively). However, no significant difference was found in AUC between lncRNA NEAT1 and NEAT1 plus MELD score (P> 0.05). ACHBLF patients with lncRNA NEAT1 levels above 1.92 showed poorer survival condition than those below (P< 0.01).Conclusions: The serum exosomal lncRNA NEAT1 might be a better prognostic biomarker than MELD score for 90-day mortality of ACHBLF.
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Affiliation(s)
- Shuai Gao
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
- Institute of Hepatology, Shandong University, Jinan, China
| | - Yu-Chen Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
- Institute of Hepatology, Shandong University, Jinan, China
| | - Li-Yan Han
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
- Institute of Hepatology, Shandong University, Jinan, China
| | - Kai Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
- Institute of Hepatology, Shandong University, Jinan, China
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6
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Li FC, Li YK, Fan YC, Wang K. Plasma concentration of diamine oxidase (DAO) predicts 1-month mortality of acute-on-chronic hepatitis B liver failure. Clin Chim Acta 2018; 484:164-170. [PMID: 29842857 DOI: 10.1016/j.cca.2018.05.050] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/04/2018] [Accepted: 05/26/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Acute-on-chronic hepatitis B liver failure (ACHBLF) has high 1-month mortality but it is difficult to predict. This present study was aimed to determine the diagnostic value of plasma diamine oxidase (DAO) in predicting the 1-month mortality of ACHBLF. METHODS A total of 106 consecutive newly diagnosed ACHBLF patients were retrospectively collected. The plasma expression of DAO was determined using enzyme-linked immunosorbent assay (ELISA). RESULTS The plasma DAO level of survivals [14.0 (7.1; 26.5) ng/mL] was significantly lower than the nonsurvivals [58.6 (32.5; 121.3) ng/mL, P < .001]. The plasma DAO level, hepatic encephalopathy, spontaneous bacterial peritonitis and model for end-stage liver disease (MELD) score were independent factors associated with the 1-month mortality for ACHBLF. The cut-off point of 15.2 ng/mL for plasma DAO level with sensitivity of 95.45%, specificity of 62.5%, 22.6 for MELD score with sensitivity of 90.91%, specificity of 67.5%, 0.07 for DAO plus MELD with sensitivity of 87.88%, specificity of 80% were selected to discriminate 1-month morality of ACHBLF. Furthermore, DAO plus MELD score showed high AUROC than MELD score for predicting 1-month (0.916 vs. 0.843, P < .01). CONCLUSIONS The plasma DAO level plus MELD > 0.07 predicts poor 1-month mortality of ACHBLF.
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Affiliation(s)
- Feng-Cai Li
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan 250012, China; Institute of Hepatology, Shandong University, Wenhuaxi Road 107#, Jinan 250012, China
| | - Yue-Kai Li
- Department of Nuclear Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan 250012, China
| | - Yu-Chen Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan 250012, China; Institute of Hepatology, Shandong University, Wenhuaxi Road 107#, Jinan 250012, China
| | - Kai Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan 250012, China; Institute of Hepatology, Shandong University, Wenhuaxi Road 107#, Jinan 250012, China.
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7
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Chen BY, Jiang LX, Hao K, Wang L, Wang Y, Xie YW, Shen J, Zhu MH, Tong XM, Li KQ, Wang Z. Protection of plasma transfusion against lipopolysaccharide/ D-galactosamine-induced fulminant hepatic failure through inhibiting apoptosis of hepatic cells in mice *. J Zhejiang Univ Sci B 2018; 19:436-444. [PMCID: PMC6011027 DOI: 10.1631/jzus.b1700277] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Revised: 07/12/2017] [Accepted: 07/12/2017] [Indexed: 01/03/2025]
Abstract
Fulminant hepatic failure is a severe clinical condition associated with extremely poor outcomes and high mortality. A number of studies have demonstrated the ability of plasma transfusion to successfully treat fulminant hepatic failure, but the underlying mechanisms are not well understood. The aim of the present study is to define the mechanisms of plasma transfusion treatment in lipopolysaccharide/D -galactosamine (LPS/D -GalN)-induced mice. LPS/D -GalN treatment in mice causes significant hepatic failure, including increasing serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels, histopathological changes in centrilobular necrosis and inflammatory cells, and the up-regulation of inflammation (tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6)). When LPS/D -GaIN-induced mice were treated with plasma, these changes were halted. Results showed that plasma transfusion significantly reduced mortality, and decreased the levels of AST, ALT, and inflammation factors such as TNF-α and IL-6. The expression levels of cleaved Caspase-3, BAX, and p53 were down-regulated and Bcl-2 was up-regulated, suggesting that plasma can reduce LPS/D -GalN-induced apoptosis. The protective mechanism of plasma against LPS/D -GalN-induced fulminant hepatic failure is related to the inhibition of the inflammatory response and the reduction in apoptosis through the down-regulation of the p53-induced apoptotic pathway.
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Affiliation(s)
- Bing-yu Chen
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Lu-xi Jiang
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Ke Hao
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Lu Wang
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Ying Wang
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Yi-wei Xie
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Jian Shen
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Meng-hua Zhu
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
- Department of Nephrology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Xiang-ming Tong
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Kai-qiang Li
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
| | - Zhen Wang
- Research Center of Blood Transfusion Medicine, Ministry of Education Key Laboratory of Laboratory Medicine, Department of Blood Transfusion, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou 310014, China
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8
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Zheng YX, Zhong X, Li YJ, Fan XG. Performance of scoring systems to predict mortality of patients with acute-on-chronic liver failure: A systematic review and meta-analysis. J Gastroenterol Hepatol 2017; 32:1668-1678. [PMID: 28303605 DOI: 10.1111/jgh.13786] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 03/03/2017] [Accepted: 03/13/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIM Acute-on-chronic liver failure (ACLF) has characteristic feature of multisystem organ failure, rapid progression, and low early transplant-free survival. We performed a meta-analysis to determine the accuracy of five scoring systems in predicting mortality of ACLF patients. METHODS A systematic database search was performed, and retrieved articles were graded according to methodological quality. Collated data was meta-analyzed by hierarchical summarized receiver operating characteristic model and bivariate model to evaluate the diagnostic accuracy of scoring systems. RESULTS Of 4223 studies identified, 26 studies involving 4732 ACLF patients were included. The model of end-stage liver disease (MELD) score was found to have largest the area under summarized receiver operating characteristic (AUROC) (0.82) compared with other estimated scoring systems, especially for 3-month mortality. MELD serum sodium (MELD-Na) score showed homologous high accuracy, with the AUROC was 0.81. However, meta-analyses of 16 studies showed that Child-Pugh-Turcotte score had least AUROC (0.71). Sequential organ failure assessment (SOFA) score presented moderately lower diagnostic accuracy, with AUROC being 0.73. Moreover, chronic liver failure-SOFA score presented excellent accuracy of prognostication with highest diagnostic odds ratios. CONCLUSION This review demonstrated that MELD had moderate diagnostic accuracy to predict mortality of ACLF patients. Considering the expectative diagnostic value, chronic liver failure-SOFA could be regarded as a promising replacement of MELD. To improve the predictive power of scoring systems, multicenter prospective studies of large sample sizes with long-term follow-up are needed.
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Affiliation(s)
- Yi-Xiang Zheng
- Department of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha, China
| | - Xiao Zhong
- Department of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha, China
| | - Ya-Jun Li
- Department of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha, China
| | - Xue-Gong Fan
- Department of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha, China
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Fan YC, Zhang YY, Wang N, Sun YY, Wang K. Tumor necrosis factor-α-induced protein 8-like 2 (TIPE2) is associated with immune phases of patients with chronic hepatitis B. Oncotarget 2017; 8:30781-30792. [PMID: 28390195 PMCID: PMC5458167 DOI: 10.18632/oncotarget.15683] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 02/15/2017] [Indexed: 12/17/2022] Open
Abstract
Tumor necrosis factor-α-induced protein 8-like 2 (TIPE2) is a newly negative immune regulator but its role in different immune phases of patients with chronic hepatitis B (CHB) is unknown. We determined the mRNA levels of TIPE2, interleukin-6, interleukin-10, tumor necrosis factors-α and interferon-γ in peripheral blood mononuclear cells from 205 naïve treated CHB patients and 15 healthy controls by quantitative real time polymerase chain reaction. Intrahepatic TIPE2 protein was also determined using immunohistochemistry staining. The TIPE2 mRNA level in CHB patients was significantly higher than that in healthy controls. Moreover, the TIPE2 mRNA level in immune clearance (IC) phases was significantly higher than that in immune tolerance (IT) phase; whereas TIPE2 mRNA in HBeAg negative hepatitis (ENH) was obviously higher than low replication (LR) phase. Furthermore, the optional cut off values of 2.02 and 1.59 for TIPE2 mRNA level have strong power in identifying IC and ENH from IT and LR. In addition, intrahepatic TIPE2 protein was predominantly located in hepatocyte plasma and correlated with hepatic inflammatory and fibrosis. Multivariate analysis showed tumor necrosis factors-α, interferon-γ and HBV DNA load were independently correlated with TIPE2 level. In conclusion, TIPE2 might be associated to the immune clearance of patients with chronic hepatitis B.
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Affiliation(s)
- Yu-Chen Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
- Institute of Hepatology, Shandong University, Jinan, China
| | - Yuan-Yuan Zhang
- Department of Neurology, Jinan Central Hospital Affiliated to Shandong University, Jinan, China
| | - Na Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
| | - Yan-Yan Sun
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
| | - Kai Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, China
- Institute of Hepatology, Shandong University, Jinan, China
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