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Chen S, Huang L, Chu Y, Lian J, Shao H, Wang T, Zou X, Huang H. Noninvasive diagnosis model for predicting significant liver inflammation in patients with chronic hepatitis B in the immune-tolerant phase. Sci Rep 2025; 15:3031. [PMID: 39856182 PMCID: PMC11760383 DOI: 10.1038/s41598-025-87756-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 01/21/2025] [Indexed: 01/27/2025] Open
Abstract
The presence of significant liver inflammation is an important indication for antiviral therapy in immune-tolerant (IT)phase with chronic hepatitis B(CHB) patients. This study aims to establish a non-invasive model to assess significant liver inflammation in the IT-phase of CHB patients. This multicenter retrospective study included a total of 535 IT-phase CHB patients who underwent liver biopsy, and were randomly divided into a training and a validation set. In the training cohort, the relevant indices were initially screened using univariate analysis. Then the least absolute shrinkage and selection operator and multivariable logistic regression were used to identify the significant independent risk factors and establish a predictive model. A diagnostic nomogram was constructed. Calibration curves, decision curve analysis, and receiver operating characteristic curves were utilized to evaluate the performance of the nomogram. In this study, 37.0% of the patients exhibited significant liver inflammation. Baseline characteristics revealed a median age of 35.0 years, with males accounting for 51.7% of the cohort. Age, Aspartate aminotransferase (AST), Prothrombin (PT), Albumin (ALB) and Hepatitis B virus DNA (HBV DNA) were identified as independent predictors of significant liver inflammation in the immune-tolerant phase, and a nomogram was constructed based on these indicators. The predictive model demonstrated good calibration and discrimination in both the training set and the validation set (aera under the curve (AUC) of 0.741 and 0.740, respectively). The nomogram can accurately identify significant liver inflammation in immune-tolerant phase CHB patients and facilitate the early initiation of antiviral therapy, thereby reducing the need for clinical liver biopsies.
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Affiliation(s)
- Shanshan Chen
- Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Lu Huang
- Center for General Practice Medicine, Department of Infectious Disease, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Yili Chu
- Center for General Practice Medicine, Department of Infectious Disease, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Jiangshan Lian
- State Key Laboratory of Infectious Diseases, Department of Infectious Disease, The First Affiliated Hospital, National Medical Center for Infectious Diseases, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Hui Shao
- Department of Infection, Zhejiang Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, 317000, China
| | - Tingting Wang
- Center for General Practice Medicine, Department of Infectious Disease, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Xuehan Zou
- Center for General Practice Medicine, Department of Infectious Disease, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Haijun Huang
- Center for General Practice Medicine, Department of Infectious Disease, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
- , No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China.
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Ou M, Zhang W, Zhang W, Guo J, Huang R, Wang J, Liu J, Xia J, Wu C, Zhu Y, Chen Y. Soluble Programmed Cell Death 1 Protein Is a Promising Biomarker to Predict Severe Liver Inflammation in Chronic Hepatitis B Patients. ACS OMEGA 2024; 9:16716-16724. [PMID: 38617617 PMCID: PMC11007827 DOI: 10.1021/acsomega.4c00780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/09/2024] [Accepted: 03/14/2024] [Indexed: 04/16/2024]
Abstract
Background and Aims: Liver inflammation is important in guiding the initiation of antiviral treatment and affects the progression of chronic hepatitis B(CHB). The soluble programmed cell death 1 protein (sPD-1) was upregulated in inflammatory and infectious diseases and correlated with disease severity. We aimed to investigate the correlation between serum sPD-1 levels and liver inflammation in CHB patients and their role in indicating liver inflammation. Methods: 241 CHB patients who underwent liver biopsy were enrolled. The correlation between sPD-1 levels and the degree of liver inflammation was analyzed. Univariate and multivariate logistic regression analyses were performed to analyze independent variables of severe liver inflammation. Binary logistic regression analysis was conducted to construct a predictive model for severe liver inflammation, and the receiver operating characteristic curve (ROC) was used to evaluate the diagnostic accuracy of the predictive model. Results: sPD-1 was highest in CHB patients with severe liver inflammation, which was higher than that in CHB patients with mild or moderate liver inflammation (P < 0.001). Besides, sPD-1 was weakly correlated with AST (r = 0.278, P < 0.001). Multivariable analysis showed that sPD-1 was an independent predictor of severe liver inflammation. The predictive model containing sPD-1 had areas under the ROC (AUROCs) of 0.917 and 0.921 in predicting severe liver inflammation in CHB patients and CHB patients with ALT ≤ 1× upper limit of normal (ULN), respectively. Conclusions: Serum sPD-1 level is associated with liver inflammation in CHB patients, and high levels of sPD-1 reflect severe liver inflammation. Serum sPD-1 is an independent predictor of severe liver inflammation and shows improved diagnostic accuracy when combined with other clinical indicators.
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Affiliation(s)
- Mingrong Ou
- Department
of Laboratory Medicine, Nanjing Drum Tower Hospital
Clinical College of Nanjing Medical University, Nanjing, Jiangsu 210008, China
| | - Weiming Zhang
- Department
of Laboratory Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Wen Zhang
- Department
of Laboratory Medicine, Joint Institute of Nanjing Drum Tower Hospital
for Life and Health, College of Life Science, Nanjing Normal University, Nanjing, Jiangsu 210008, China
| | | | - Rui Huang
- Department
of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Jian Wang
- Department
of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Jiacheng Liu
- Department
of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Juan Xia
- Department
of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Chao Wu
- Department
of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Yijia Zhu
- Department
of Laboratory Medicine, Nanjing Drum Tower Hospital
Clinical College of Nanjing Medical University, Nanjing, Jiangsu 210008, China
| | - Yuxin Chen
- Department
of Laboratory Medicine, Nanjing Drum Tower Hospital
Clinical College of Nanjing Medical University, Nanjing, Jiangsu 210008, China
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Ma S, Zhou L, Lin S, Li M, Luo J, Chen L. Noninvasive Models to Assess Liver Inflammation and Fibrosis in Chronic HBV Infected Patients with Normal or Mildly Elevated Alanine Transaminase Levels: Which One Is Most Suitable? Diagnostics (Basel) 2024; 14:456. [PMID: 38472929 DOI: 10.3390/diagnostics14050456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024] Open
Abstract
The prevalence of substantial inflammation or fibrosis in treatment-naïve patients with chronic hepatitis B (CHB) and normal alanine transaminase (ALT) levels is high. A retrospective analysis was conducted on 559 consecutive patients with hepatitis B virus infection, who underwent liver biopsy, to investigate the value of noninvasive models based on routine serum markers for evaluating liver histology in CHB patients with normal or mildly elevated ALT levels and to provide treatment guidance. After comparing 55 models, we identified the top three models that exhibited excellent performance. The APGA model, based on the area under the receiver operating characteristic curve (AUROC), demonstrated a superior ability to evaluate significant (AUROC = 0.750) and advanced fibrosis (AUROC = 0.832) and demonstrated a good performance in assessing liver inflammation (AUROCs = 0.779 and 0.874 for stages G ≥ 2 and G ≥ 3, respectively). APGA also exhibited significant correlations with liver inflammation and fibrosis stage (correlation coefficients, 0.452 and 0.405, respectively (p < 0.001)). When the patients were stratified into groups based on HBeAg status and ALT level, APGA consistently outperformed the other 54 models. The other top two models, GAPI and XIE, also outperformed models based on other chronic hepatitis diseases. APGA may be the most suitable option for detecting liver fibrosis and inflammation in Chinese patients with CHB.
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Affiliation(s)
- Shasha Ma
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Lian Zhou
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Shutao Lin
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Mingna Li
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Jing Luo
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Lubiao Chen
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
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Zhan J, Wang J, Zhang Z, Xue R, Jiang S, Liu J, Liu Y, Zhu L, Xia J, Yan X, Ding W, Zhu C, Qiu Y, Li J, Huang R, Wu C. Noninvasive diagnosis of significant liver inflammation in patients with chronic hepatitis B in the indeterminate phase. Virulence 2023; 14:2268497. [PMID: 37938933 PMCID: PMC10653690 DOI: 10.1080/21505594.2023.2268497] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023] Open
Abstract
The presence of significant liver inflammation is an important indication for antiviral treatment in patients with chronic hepatitis B (CHB) in the indeterminate phase. We aimed to establish a non-invasive nomogram to predict significant liver inflammation in these patients. A total of 195 CHB patients in the indeterminate phase were randomly split into training and validation sets. The least absolute shrinkage and selection operator and logistic regression were applied to identify risk factors and establish a predictive model. A calibration curve, decision curve analysis (DCA), and receiver operating characteristic (ROC) curve were applied to assess the performance of the nomogram. The median age was 42.0 y and 59.5% of the patients were male. Alkaline phosphatase, γ-glutamyl transpeptidase, and prothrombin time were independent predictors for significant liver inflammation and selected to establish the AGP-nomogram. The calibration plot demonstrated that the predicted results matched the actual values. The DCA showed a high net benefit when the threshold probability was 25-83% in the training set and 31-100% in the validation set. The areas under ROC curves of AGP-nomogram in predicting significant inflammation were significantly higher than ALT in the training set (0.744 vs. 0.642, P = 0.049) and validation set (0.766 vs. 0.660, P = 0.047). The ability of AGP-nomogram in predicting advanced inflammation was also superior to ALT. The AGP-nomogram can accurately identify significant inflammation in CHB patients in the indeterminate phase, and its application may reduce the need for liver biopsy and help identify candidates for antiviral treatment.Abbreviations: AASLD: American Association for the Study of Liver Diseases; ALB: albumin; ALP: alkaline phosphatase; ALT: alanine aminotransferase; APRI: aspartate aminotransferase-to-platelet ratio index; AST: aspartate aminotransferase; AUROC: area under the receiver operating characteristic curve; CHB: chronic hepatitis B; CI: confidence interval; DCA: decision curve analysis; FIB-4: fibrosis index based on the four factors; GLB: globulin; GGT: γ-glutamyl transpeptidase; HBcAb: hepatitis B core antibody; HBeAg: hepatitis B e antigen; HBsAg: hepatitis B surface antigen; HBV: hepatitis B virus; HCC: hepatocellular carcinoma; HIV: human immunodeficiency virus; INR: international-normalized ratio; IQR: interquartile range; LASSO: least absolute shrinkage and selection operator; LB: liver biopsy; LR: Likelihood ratio; NAFLD: non-alcoholic fatty liver disease; NPV: negative predictive value; PLT: platelets; PPV: positive predictive value; PT: prothrombin time; ROC: receiver operating characteristic; TB: total bilirubin; TE: transient elastography; ULN: upper limit of normal.
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Affiliation(s)
- Jie Zhan
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of General Practice, Jiangpu Street Community Health Service Center, Nanjing, Jiangsu, China
| | - Jian Wang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Zhiyi Zhang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ruifei Xue
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Suling Jiang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiacheng Liu
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yilin Liu
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Li Zhu
- Department of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Juan Xia
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Xiaomin Yan
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Weimao Ding
- Department of Hepatology, Huai’an No. 4 People’s Hospital, Huai’an, Jiangsu, China
| | - Chuanwu Zhu
- Department of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yuanwang Qiu
- Department of Infectious Diseases, The Fifth People’s Hospital of Wuxi, Wuxi, Jiangsu, China
| | - Jie Li
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Rui Huang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Chao Wu
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
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Jiang SW, Lian X, Hu AR, Lu JL, He ZY, Shi XJ, Zhu DD, Wang ZY, Huang GC. Liver histopathological lesions is severe in patients with normal alanine transaminase and low to moderate hepatitis B virus DNA replication. World J Gastroenterol 2023; 29:2479-2494. [PMID: 37179582 PMCID: PMC10167902 DOI: 10.3748/wjg.v29.i16.2479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/05/2023] [Accepted: 04/07/2023] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND Chronic hepatitis B virus (HBV) infection remains a major global public health problem. Chronic hepatitis B (CHB) patients can be divided into treatment indication and non-treatment indication individuals according to alanine transaminase (ALT), HBV DNA, serum hepatitis B e antigen status, disease status [liver cirrhosis, hepatocellular carcinoma (HCC), or liver failure], liver necroinflammation or fibrosis, patients' age, and family history of HCC or cirrhosis. For example, normal ALT patients in 'immune-tolerant' phase with HBV DNA higher than 107 or 2 × 107 IU/mL, and those in 'inactive-carrier' phase with HBV DNA lower than 2 × 103 IU/mL do not require antiviral therapy. However, is it reasonable to set the defined values of HBV DNA as the fundamental basis to estimate the disease state and to determine whether to start treatment? In fact, we should pay more attention to those who do not match the treatment indications (gray-zone patients both in the indeterminate phase and in the 'inactive-carrier' phase). AIM To analyze the correlation of HBV DNA level and liver histopathological severity, and to explore the significance of HBV DNA for CHB with normal ALT. METHODS From January 2017 to December 2021, a retrospective cross-sectional set of 1299 patients with chronic HBV infection (HBV DNA > 30 IU/mL) who underwent liver biopsy from four hospitals, including 634 with ALT less than 40 U/L. None of the patients had received anti-HBV treatment. The degrees of liver necroinflammatory activity and liver fibrosis were evaluated according to the Metavir system. On the basis of the HBV DNA level, patients were divided into two groups: Low/moderate replication group, HBV DNA ≤ 107 IU/mL [7.00 Log IU/mL, the European Association for the Study of the Liver (EASL) guidelines] or ≤ 2 × 107 IU/mL [7.30 Log IU/mL, the Chinese Medical Association (CMA) guidelines]; high replication group, HBV DNA > 107 IU/mL or > 2 × 107 IU/mL. Relevant factors (demographic characteristics, laboratory parameters and noninvasive models) for liver histopathological severity were analyzed by univariate analysis, logistics analysis and propensity score-matched analysis. RESULTS At entry, there were 21.45%, 24.29%, and 30.28% of the patients had liver histopathological severities with ≥ A2, ≥ F2, and ≥ A2 or/and ≥ F2, respectively. HBV DNA level (negative correlation) and noninvasive model liver fibrosis 5 value (positive correlation) were independent risk factors for liver histopathological severities (liver necroinflammation, liver fibrosis, and treatment indication). The AUROCs of the prediction probabilities (PRE_) of the models mentioned above (< A2 vs ≥ A2, < F2 vs ≥ F2, < A2 and < F2 vs ≥ A2 or/and ≥ F2) were 0.814 (95%CI: 0.770-0.859), 0.824 (95%CI: 0.785-0.863), and 0.799 (95%CI: 0.760-0.838), respectively. HBV DNA level (negative correlation) was still an independent risk factor when diagnostic models were excluded, the P values (< A2 vs ≥ A2, < F2 vs ≥ F2, < A2 and < F2 vs ≥ A2 or/and ≥ F2) were 0.011, 0.000, and 0.000, respectively. For the propensity score-matched pairs, whether based on EASL guidelines or CMA guidelines, the group with significant liver histology damage (≥ A2 or/and ≥ F2) showed much lower HBV DNA level than the group with non- significant liver histology damage (< A2 and < F2). Patients in the moderate replication group (with indeterminate phase) had the most serious liver disease pathologically and hematologically, followed by patients in the low replication group (with 'inactive-carrier' phase) and then the high replication group (with 'immune-tolerant' phase). CONCLUSION HBV DNA level is a negative risk factor for liver disease progression. The phase definition of CHB may be revised by whether the level of HBV DNA exceeds the detection low limit value. Patients who are in the indeterminate phase or 'inactive carriers' should receive antiviral therapy.
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Affiliation(s)
- Su-Wen Jiang
- Ningbo Institute of Liver Diseases, Ningbo No. 2 Hospital, Ningbo 315020, Zhejiang Province, China
| | - Xiang Lian
- Department of Infectious Diseases, Xiangshan Hospital Affiliated to Wenzhou Medical University, Ningbo 315020, Zhejiang Province, China
| | - Ai-Rong Hu
- Ningbo Institute of Liver Diseases, Ningbo No. 2 Hospital, Ningbo 315020, Zhejiang Province, China
| | - Jia-Lin Lu
- Department of Infectious Diseases, The First Hospital of Ninghai County, Ningbo 315000, Zhejiang Province, China
| | - Zhe-Yun He
- Ningbo Institute of Liver Diseases, Ningbo No. 2 Hospital, Ningbo 315020, Zhejiang Province, China
| | - Xiao-Jun Shi
- Ningbo Institute of Liver Diseases, Ningbo No. 2 Hospital, Ningbo 315020, Zhejiang Province, China
| | - De-Dong Zhu
- Ningbo Institute of Liver Diseases, Ningbo No. 2 Hospital, Ningbo 315020, Zhejiang Province, China
| | - Zong-Yi Wang
- Department of Infectious Diseases, The First Hospital of Ninghai County, Ningbo 315000, Zhejiang Province, China
| | - Guan-Cheng Huang
- Department of Infectious Diseases, The Affiliated Yang-Ming Hospital of Ningbo University, Ningbo 315400, Zhejiang Province, China
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Lin YJ, Bi XY, Yang L, Deng W, Jiang TT, Li MH, Xie Y. CLINICAL CURE OF A CHRONIC HEPATITIS B PATIENT WITH NORMAL SERUM ALANINE AMINOTRANSFERASE TREATED WITH PEGYLATED INTERFERON ALFA-2A: A CASE REPORT. Gastroenterol Nurs 2023; 46:153-159. [PMID: 36399392 DOI: 10.1097/sga.0000000000000697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 07/08/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Yan-Jie Lin
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xiao-Yue Bi
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Liu Yang
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wen Deng
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ting-Ting Jiang
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ming-Hui Li
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Xie
- Yan-Jie Lin, MM, is from the Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Xiao-Yue Bi, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Liu Yang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Wen Deng, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ting-Ting Jiang, MM, is from the Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Ming-Hui Li, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Yao Xie, MD, is Professor, Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China; and Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
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Wang X, Gao X, Wu R, Chi X, Xu H, Guan Y, Jin Q, Niu J. Serum qAnti-HBc combined with ALT and HBsAg predicts significant hepatic inflammation in HBeAg-positive immune active patients. J Gastroenterol Hepatol 2022; 37:1806-1814. [PMID: 35509262 DOI: 10.1111/jgh.15881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 04/14/2022] [Accepted: 05/01/2022] [Indexed: 12/09/2022]
Abstract
BACKGROUND AND AIM Quantitative hepatitis B core antibody (qAnti-HBc) level has been reported to predict significant liver inflammation in treatment-naïve chronic hepatitis B patients. However, little evidence has been revealed that qAnti-HBc alone or with other serum parameters in predicting moderate to severe hepatic inflammation in HBeAg-positive immune active patients treated with entecavir (ETV). METHODS A total of 142 patients with HBeAg-positive immune active hepatitis were recruited in our study. Serum liver biochemistry, qAnti-HBc, hepatitis B virus markers, and liver inflammation were evaluated during 48-week ETV treatment. The association between liver inflammation grades and serum markers was systematically analyzed. RESULTS The patients with moderate to severe inflammation (≥ G2) had a significantly higher level of qAnti-HBc compared with those with no to mild liver inflammation patients (< G2). The levels of qAnti-HBc and alanine transaminase (ALT) were positively correlated with hepatic inflammation grades, and qAnti-HBc had a better correlation than ALT, whereas HBsAg was negatively correlated with hepatic inflammation grades before treatment. After 48-week ETV treatment, no correlation was observed between hepatic inflammation grades and qAnti-HBc, ALT, or HBsAg. The combination of qAnti-HBc, ALT, and HBsAg had better performance in predicting significant liver inflammation (≥ G2) than qAnti-HBc alone or its combination with ALT. CONCLUSION Serum qAnti-HBc levels were positively correlated with hepatic inflammation grades before treatment, but no positive correlation between them was observed after 48-week treatment. The level of qAnti-HBc combined with ALT and HBsAg may serve as a more reliable marker for identifying significant liver inflammation before treatment in HBeAg-positive immune active patients.
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Affiliation(s)
- Xiaomei Wang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Xiuzhu Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Ruihong Wu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Xiumei Chi
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Hongqin Xu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Yazhe Guan
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Qinglong Jin
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Junqi Niu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China.,Center for Pathogen Biology and Infectious Diseases, The First Hospital of Jilin University, Changchun, China
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8
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Xiao HM, Shi MJ, Jiang JM, Cai GS, Xie YB, Tian GJ, Xue JD, Mao DW, Li Q, Yang HZ, Guo H, Lei CL, Lu W, Chen L, Liu HB, Wang J, Gao YQ, Chen JZ, Wu SD, Chen HJ, Zhao PT, Zhang CZ, Ou-Yang WW, Wen ZH, Chi XL. Efficacy and safety of AnluoHuaxian pills on chronic hepatitis B with normal or minimally elevated alanine transaminase and early liver fibrosis: A randomized controlled trial. JOURNAL OF ETHNOPHARMACOLOGY 2022; 293:115210. [PMID: 35398501 DOI: 10.1016/j.jep.2022.115210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/07/2022] [Accepted: 03/16/2022] [Indexed: 06/14/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE The AnluoHuaxian pill (AHP) is a widely used patented medicine for chronic hepatitis B (CHB) patients with advanced fibrosis or cirrhosis that has been used in China for more than 15 years. However, data are lacking on whether monotherapy with AHP can be effective in CHB patients with alanine aminotransferase (ALT) levels less than 2 times the upper limit of normal (ALT<2ULN) and early liver fibrosis (F ≤ 2). AIM OF THE STUDY We aimed to investigate whether monotherapy with AHP improves liver histology in these patients. MATERIALS AND METHODS In this double-blind, randomized, placebo-controlled trial, 270 CHB patients with ALT<2ULN and F ≤ 2 were treated in 12 hospitals in China. The patients were randomly assigned to an intervention (AHP) group and a placebo group at a ratio of 2:1. Of these 270 enrolled patients, 147 had paired liver biopsies. The primary end point was histological change after 48 weeks of treatment. RESULTS Per-protocol analysis revealed that the rate of histologic improvement in liver fibrosis patients in the AHP group was significantly higher than that in the placebo group (37.7% vs. 19.5%, P = 0.035) after 48 weeks of treatment, which was consistent with results from intention-to-treat and sensitivity analyses. Moreover, after adjusting for baseline characteristics, AHP was superior to placebo with respect to improving liver fibrosis (odds ratio [OR] = 2.58, 95% confidence interval [CI]: (1.01, 6.63),P = 0.049) and liver histology (OR = 3.62, 95% CI: (1.42, 9.20),P = 0.007). In noninvasive measurement of liver fibrosis (FibroScan®), the level of liver stiffness measurement (LSM) had decreased significantly at 48 weeks (5.1 kPa) compared with that at baseline (5.7 kPa) (P = 0.008) in the AHP group, whereas it did not decrease significantly in the placebo group. Cirrhosis developed in one patient in the placebo group but in no patients in the AHP group. No serious side effects occurred in the AHP-treated patients. CONCLUSIONS Treatment of CHB patients who had ALT<2ULN and F ≤ 2 with the traditional Chinese medicine AHP for 48 weeks improves liver fibrosis. However, due to the short duration of treatment and the limited sample size of liver pathology, the long-term benefits of AHP in reducing fibrosis and the risk of cirrhosis and hepatocellular carcinoma in these patients need to be further studied in the future.
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Affiliation(s)
- Huan-Ming Xiao
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Mei-Jie Shi
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Jun-Min Jiang
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Gao-Shu Cai
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Yu-Bao Xie
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Guang-Jun Tian
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Jing-Dong Xue
- Liver Diseases Branch, Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xi'an, 710003, China
| | - De-Wen Mao
- Hepatology Department, First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning, 530023, China
| | - Qin Li
- Department of Integration of Traditional Chinese and Western Medicine, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Hong-Zhi Yang
- Chinese Medicine Department, Third Affiliated Hospital, SunYat-Sen University, Guangzhou, 510630, China
| | - Hui Guo
- Hepatology Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300380, China
| | - Chun-Liang Lei
- Hepatology Department, Guangzhou Eighth People's Hospital, Guangzhou, 510060, China
| | - Wei Lu
- Liver Diseases Branch, Tianjin Second People's Hospital, Tianjin, 300192, China
| | - Liang Chen
- Department of Hepatology, Shanghai Public Health Clinical Center, Shanghai, 201508, China
| | - Hua-Bao Liu
- Hepatology Department, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400021, China
| | - Jing Wang
- Department of Hepatobiliary Disease, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Yue-Qiu Gao
- Department of Hepatopathy, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jie-Zhen Chen
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Shu-Duo Wu
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Hui-Jun Chen
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Peng-Tao Zhao
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Chao-Zhen Zhang
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Wen-Wei Ou-Yang
- Key Unit of Methodology in Clinical Research, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China
| | - Ze-Huai Wen
- Key Unit of Methodology in Clinical Research, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China; National Centre for Design Measurement and Evaluation in Clinical Research, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
| | - Xiao-Ling Chi
- Hepatology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.
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9
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Shu X, Sun H, Yang X, Jia Y, Xu P, Cao H, Zhang K. Correlation of effective hepatic blood flow with liver pathology in patients with hepatitis B virus. LIVER RESEARCH 2021; 5:243-250. [PMID: 39959606 PMCID: PMC11791847 DOI: 10.1016/j.livres.2021.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/26/2021] [Accepted: 11/08/2021] [Indexed: 02/07/2023]
Abstract
Background and aims Effective hepatic blood flow (EHBF) decreases with liver disease progression, and identifying liver pathology is critical for patients with liver disease. This study was designed to elucidate the correlation between EHBF and liver pathology and explore the potential of EHBF for predicting the degree of liver pathology. Methods In this study, 207 patients with hepatitis B virus (HBV) who underwent liver biopsy and indocyanine green (ICG) clearance tests were enrolled. EHBF was measured using the ICG clearance test, and liver tissue was histologically analyzed to determine the pathological stage according to the Scheuer scoring system. Demographic data, biochemical indexes, and FibroScan data were collected for statistical analysis. Results EHBF levels decreased as the liver histological stages of inflammation and fibrosis increased (P < 0.01). EHBF was significantly negatively associated with the levels of alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transpeptidase, alkaline phosphatase, aspartate aminotransferase-to-platelet ratio index, fibrosis index based on the four factors, and liver stiffness measurement (P < 0.05). The EHBF levels of patients without liver inflammation (G0) were significantly higher than those of patients with liver inflammation (G1-4) (P < 0.001). The area under the receiver operating characteristic curve (AUROC) value for discriminating patients without liver inflammation was 0.827, and the optimal cutoff value was 0.936 L/min. The EHBF levels of patients with severe liver inflammation (G4) were significantly lower than those of patients with G0-3 liver inflammation (P < 0.001). The AUROC value for discriminating patients with severe liver inflammation was 0.792, and the optimal cutoff value was 0.552 L/min. The EHBF levels of patients without liver fibrosis (S0) were significantly higher than those of patients with liver fibrosis (S1-4) (P < 0.001). The AUROC value for discriminating patients without liver fibrosis was 0.633, and the optimal cutoff value was 1.173 L/min. The EHBF levels of patients with liver cirrhosis (S4) were significantly lower than those of patients with S0-3 liver fibrosis (P < 0.001). The AUROC value for discriminating patients with liver cirrhosis (S4) was 0.630, and the optimal cutoff value was 0.562 L/min. Conclusions EHBF levels and liver pathology are significantly correlated. EHBF could effectively reflect liver inflammation and fibrosis in patients infected with HBV, especially for patients without liver inflammation or liver fibrosis.
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Affiliation(s)
- Xin Shu
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Haixia Sun
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaoan Yang
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yifan Jia
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Peiyan Xu
- Department of Infectious Diseases, Huadu District People's Hospital of Guangzhou, Guangzhou, China
| | - Hong Cao
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ka Zhang
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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10
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Liu J, Wang J, Yan X, Xue R, Zhan J, Jiang S, Geng Y, Liu Y, Mao M, Xia J, Yin S, Tong X, Chen Y, Ding W, Huang R, Wu C. Presence of Liver Inflammation in Asian Patients With Chronic Hepatitis B With Normal ALT and Detectable HBV DNA in Absence of Liver Fibrosis. Hepatol Commun 2021; 6:855-866. [PMID: 34783181 PMCID: PMC8948668 DOI: 10.1002/hep4.1859] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/16/2021] [Accepted: 10/26/2021] [Indexed: 02/06/2023] Open
Abstract
Liver biopsies are recommended to exclude significant liver inflammation in patients with chronic hepatitis B (CHB) with elevated HBV DNA but without other indications for antiviral treatment. We aimed to investigate the proportions and determinants of significant inflammation in Asian patients with CHB with detectable HBV DNA. We conducted a cross‐sectional study that retrospectively included 581 patients with CHB with detectable HBV DNA who had undergone liver biopsy. Liver inflammation and fibrosis were staged by Scheuer’s classification. Significant inflammation and significant fibrosis were defined as G ≥ 2 and S ≥ 2, respectively. There were 179 (30.8%) patients with alanine aminotransferase (ALT) < 1 × upper limit of normal (ULN), 205 (35.3%) patients with ALT 1‐2 × ULN, and 197 (33.9%) patients with ALT > 2 × ULN. A total of 397 (68.3%) patients had significant inflammation, and 340 (58.5%) patients had significant fibrosis. Significant inflammation was found in 85% of patients with significant fibrosis and in 44.8% of patients without significant fibrosis. Furthermore, 28.7% of patients with CHB with detectable HBV DNA and normal ALT in the absence of significant fibrosis had significant inflammation. Moderate HBV DNA (5‐7 log10 IU/mL) was a risk factor for significant inflammation (odds ratio [OR] 6.929, 95% confidence interval [CI] 2.830‐16.966, P < 0.001) in patients with CHB with detectable HBV DNA, especially for patients with detectable HBV DNA and normal ALT in the absence of significant fibrosis (adjusted OR 13.161, 95% CI 1.026‐168.889, P = 0.048). Conclusion: A high proportion of CHB patients with detectable HBV DNA and normal ALT in the absence of significant fibrosis have significant liver inflammation. Liver biopsies are recommended to evaluate liver inflammation in such patients, especially for those with moderate HBV DNA.
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Affiliation(s)
- Jiacheng Liu
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jian Wang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Xiaomin Yan
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Ruifei Xue
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jie Zhan
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Suling Jiang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yu Geng
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yilin Liu
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Minxin Mao
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Juan Xia
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Shengxia Yin
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Xin Tong
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Yuxin Chen
- Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China.,Department of Laboratory Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Weimao Ding
- Department of Hepatology, Huai'an No. 4 People's Hospital, Huai'an, Jiangsu, China
| | - Rui Huang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
| | - Chao Wu
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.,Department of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.,Institute of Viruses and Infectious Diseases, Nanjing University, Nanjing, Jiangsu, China
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11
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Li M, Zhang L, Lu Y, Chen Q, Lu H, Sun F, Zeng Z, Wan G, Zhao L, Xie Y. Early Serum HBsAg Kinetics as Predictor of HBsAg Loss in Patients with HBeAg-Negative Chronic Hepatitis B after Treatment with Pegylated Interferonα-2a. Virol Sin 2021; 36:311-320. [PMID: 32975731 PMCID: PMC8087759 DOI: 10.1007/s12250-020-00290-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 07/16/2020] [Indexed: 01/05/2023] Open
Abstract
Hepatitis B surface antigen (HBsAg) loss is an ideal treatment endpoint for patients with chronic hepatitis B (CHB). We investigated the predictive value of on-treatment HBsAg levels for HBsAg loss in hepatitis B e antigen (HBeAg)-negative CHB patients who received 120-week PEG-IFNα-2a treatment. Serum HBV DNA, HBsAg, and anti-HBs levels were assayed at baseline and every 3 months during the treatment. Of 81 patients, 12 achieved HBsAg loss, 20 achieved HBsAg < 100 IU/mL, and 49 maintained HBsAg ≥ 100 IU/mL. HBsAg loss rate was only 3.7% at 48 weeks, while it reached to 11.1% and 14.8% after treatment of 96 weeks and 120 weeks. The cutoff HBsAg levels at 12 weeks predicting HBsAg loss at 96 weeks and 120 weeks of treatment were 400 IU/mL and 750 IU/mL, with AUC 0.725 and 0.722, positive predictive value (PPV) 29.41% and 30.56%, and negative predictive value (NPV) 93.75% and 97.78%, respectively. The cutoff HBsAg levels at 24 weeks predicting HBsAg loss at 96 weeks and 120 weeks of treatment were 174 IU/mL and 236 IU/mL respectively, with AUC 0.925 and 0.922, PPV 40.0% and 46.15%, and both NPV 100%. The predictive ability of the cutoff HBsAg levels at 24 weeks was better than that at 12 weeks for HBsAg loss at either 96 or 120 weeks (χ2 = 3.880, P = 0.049 and χ2 = 4.412, P = 0.036). These results indicate that extended therapy is critical to HBsAg loss in HBeAg-negative CHB patients during PEG-IFN treatment, and the HBsAg level at 24 weeks can be used to predict HBsAg loss during tailoring PEG-IFN therapy.
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Affiliation(s)
- Minghui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, 100015, China
| | - Lu Zhang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Yao Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Qiqi Chen
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, 100015, China
| | - Huihui Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Fangfang Sun
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Zhan Zeng
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, 100015, China
| | - Gang Wan
- Department of Biostatistics, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Linqing Zhao
- Laboratory of Virology Capital Institute of Pediatrics, Beijing, 100020, China.
| | - Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China.
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, 100015, China.
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12
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Li MH, Chen QQ, Zhang L, Lu HH, Sun FF, Zeng Z, Lu Y, Yi W, Xie Y. Association of cytokines with hepatitis B virus and its antigen. J Med Virol 2020; 92:3426-3435. [PMID: 32662892 DOI: 10.1002/jmv.26301] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 06/02/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022]
Abstract
To investigate the characteristics of cytokines in patients with different HBV infection status and their correlation with HBV DNA, HBsAg, and HBeAg levels. Peripheral blood samples were collected from patients with chronic HBV infection in immune tolerance phase (IT), HBeAg-positive chronic hepatitis B (CHB), and acute hepatitis B (AHB) groups, and levels of cytokines were detected by Luminex technique, and analyzed by FLEXMAP 3D analyzer. The correlation between cytokines and HBV DNA load, HBsAg, HBeAg, and alanine aminotransferase (ALT) level in patients with chronic HBV infection was analyzed. In total 312 subjects (184 males and 128 females) were enrolled in the study. There were significant differences among IT, CHB, and AHB groups in Flt-3L value (P = .003; H = 12.312), IFN-γ (P = .001; H = 11.723), IL-10 (P = .001; H = 18.736), IL-17A ((P = .001; H = 12.735), and TGF-β1 (P = .001; Z = 48.571). IFN-α2 levels in CHB group were significantly higher than those in IT and AHB groups (15.24 vs 35.78 pg/mL, P = .000; Z = 3.727; 13.88 vs 35.78 pg/mL, P = .024; Z = -2.258. In CHB group, the levels of HBsAg and ALT were positively correlated with the levels of IL-10 (r = .173; P = .006; r = 0.176; P = .006, respectively), while HBeAg level was positively correlated with the IFN-α2 level (r = .153; P = .016). In AHB group, the HBsAg level was positively correlated with Flt-3L, IFN-α2, IL-10, and IL-6 (r = .402; P = .023; r = .436; P = .016; r = .524, P = .002; r = .405; P = .022, respectively). HBeAg level was positively correlated with IFN-γ and IL-17A levels (r = .400; P = .023; r = .373; P = .036, respectively), and ALT level was positively correlated with IL-6 levels (r = .367; P = .039). In either AHB or CHB group, HBV DNA load was only related to TGF-β level (r = .493; P = .004; r = -.218, P = 0.009 respectively). The correlation between Flt-3L and HBsAg (F = 7.422; P = .007); IL-17, IL-6, and HBeAg (F = 5.757; P = .017; F = 6.156; P = .014) were statistically significant. There was significant correlation between TGF-β2 and HBV DNA (F = 11.795; P = .001), and between ALT and HBsAg, HBV DNA (F = 26.089; P = .000; F = 4.724; P = .031). HBsAg, HBeAg, and HBV DNA were correlated with cytokines and ALT in patients with HBV infection. The level of IFN-α2 was significantly higher in patients with CHB. HBV DNA load was only correlated with the level of TGF-β in acute or CHB.
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Affiliation(s)
- Ming-Hui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Qi-Qi Chen
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Lu Zhang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hui-Hui Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Fang-Fang Sun
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhan Zeng
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Yao Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wei Yi
- Department of Gynecology and Obstetrics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
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