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Leowattana W, Leowattana P, Leowattana T. Quantitative hepatitis B core antibody and quantitative hepatitis B surface antigen: Novel viral biomarkers for chronic hepatitis B management. World J Hepatol 2024; 16:550-565. [PMID: 38689745 PMCID: PMC11056893 DOI: 10.4254/wjh.v16.i4.550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/03/2024] [Accepted: 03/12/2024] [Indexed: 04/24/2024] Open
Abstract
The management of hepatitis B virus (HBV) infection now involves regular and appropriate monitoring of viral activity, disease progression, and treatment response. Traditional HBV infection biomarkers are limited in their ability to predict clinical outcomes or therapeutic effectiveness. Quantitation of HBV core antibodies (qAnti-HBc) is a novel non-invasive biomarker that may help with a variety of diagnostic issues. It was shown to correlate strongly with infection stages, hepatic inflammation and fibrosis, chronic infection exacerbations, and the presence of occult infection. Furthermore, qAnti-HBc levels were shown to be predictive of spontaneous or treatment-induced HBeAg and HBsAg seroclearance, relapse after medication termination, re-infection following liver transplantation, and viral reactivation in the presence of immunosuppression. qAnti-HBc, on the other hand, cannot be relied on as a single diagnostic test to address all problems, and its diagnostic and prognostic potential may be greatly increased when paired with qHBsAg. Commercial qAnti-HBc diagnostic kits are currently not widely available. Because many methodologies are only semi-quantitative, comparing data from various studies and defining universal cut-off values remains difficult. This review focuses on the clinical utility of qAnti-HBc and qHBsAg in chronic hepatitis B management.
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Affiliation(s)
- Wattana Leowattana
- Department of Clinical Tropical Medicine, Mahidol University, Rachatawee 10400, Bangkok, Thailand.
| | - Pathomthep Leowattana
- Department of Clinical Tropical Medicine, Mahidol University, Rachatawee 10400, Bangkok, Thailand
| | - Tawithep Leowattana
- Department of Medicine, Srinakharinwirot University, Wattana 10110, Bangkok, Thailand
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Zhang L, Yang L, Gao Y, Bi X, Lin Y, Deng W, Jiang T, Lu Y, Hao H, Wan G, Yi W, Xie Y, Li M. Nomogram for evaluating obvious liver inflammation in treatment-naïve HBeAg positive chronic hepatitis B virus infection patients with normal ALT. Virulence 2023; 14:2158710. [PMID: 36600180 PMCID: PMC9828634 DOI: 10.1080/21505594.2022.2158710] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
The purpose of this study was to develop an effective and non-invasive nomogram for evaluating liver obvious inflammation in untreated HBeAg positive patients with chronic hepatitis B virus (HBV) infection. A nomogram was established on a model cohort of 292 treatment-naïve HBeAg positive patients with normal alanine aminotransferase (ALT ≤40 U/L) at Beijing Ditan Hospital from January 2008 to March 2018. Then the nomogram was prospectively validated in a cohort of 88 patients from July 2019 to May 2021. Calibration curves and Concordance index were used to evaluate the accuracy of prediction and identification performance of the model. In untreated HBeAg positive chronic hepatitis B virus infection patients with normal ALT, the formula for predicting liver inflammation was Logit (P) =-0.91-0.41×log10 (qHBeAg)+0.11×AST-0.01×PLT. The nomogram had C-index of 0.751 (95% CI, 0.688-0.815), indicating a good consistency between prediction and real observation on the model cohort. The validation cohort confirmed its good performance. In this study, liver inflammation nomograms based on HBeAg, AST, and PLT were established and verified in treatment-naïve HBeAg positive chronic HBV patients with normal ALT.
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Affiliation(s)
- Lu Zhang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Liu Yang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yuanjiao Gao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xiaoyue Bi
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yanjie Lin
- Department of Medical Record Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wen Deng
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Tingting Jiang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hongxiao Hao
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Gang Wan
- Department of Gynecology and Obstetrics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wei Yi
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China,Wei Yi
| | - Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China,Department of Medical Record Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China,CONTACT Yao Xie
| | - Minghui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China,Department of Medical Record Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China,Minghui Li
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You H, Wang F, Li T, Xu X, Sun Y, Nan Y, Wang G, Hou J, Duan Z, Wei L, Jia J, Zhuang H. Guidelines for the Prevention and Treatment of Chronic Hepatitis B (version 2022). J Clin Transl Hepatol 2023; 11:1425-1442. [PMID: 37719965 PMCID: PMC10500285 DOI: 10.14218/jcth.2023.00320] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/02/2023] [Accepted: 08/03/2023] [Indexed: 09/19/2023] Open
Abstract
To facilitate the achieving of the goal of "eliminating viral hepatitis as a major public health threat by 2030" set by the World Health Organization, the Chinese Society of Hepatology together with the Chinese Society of Infectious Diseases (both are branches of the Chinese Medical Association) organized a panel of experts and updated the guidelines for prevention and treatment of chronic hepatitis B in China (version 2022). With the support of available evidence, this revision of the guidelines focuses on active prevention, large scale testing, and expansion of therapeutic indication of chronic hepatitis B with the aim of reducing the hepatitis B related disease burden.
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Affiliation(s)
- Hong You
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Fusheng Wang
- The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Taisheng Li
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiaoyuan Xu
- Peking University First Hospital, Beijing, China
| | - Yameng Sun
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yuemin Nan
- Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | | | - Jinlin Hou
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhongping Duan
- Beijing You-An Hospital, Capital Medical University, Beijing, China
| | - Lai Wei
- Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Jidong Jia
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hui Zhuang
- Peking University Health Science Center, Beijing, China
| | - Chinese Society of Hepatology, Chinese Medical Association; Chinese Society of Infectious Diseases, Chinese Medical Association
- Beijing Friendship Hospital, Capital Medical University, Beijing, China
- The Fifth Medical Center of PLA General Hospital, Beijing, China
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Peking University First Hospital, Beijing, China
- Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Beijing You-An Hospital, Capital Medical University, Beijing, China
- Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
- Peking University Health Science Center, Beijing, China
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Yi J, Xue J, Yang L, Xia L, He W. Predictive value of prognostic nutritional and systemic immune-inflammation indices for patients with microsatellite instability-high metastatic colorectal cancer receiving immunotherapy. Front Nutr 2023; 10:1094189. [PMID: 37275637 PMCID: PMC10232767 DOI: 10.3389/fnut.2023.1094189] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/27/2023] [Indexed: 06/07/2023] Open
Abstract
Background The prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) are indicators of nutritional immune status. They have been reported associated with clinical outcomes of various solid tumors. However, it is unclear whether they can serve as predictors for patients with microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) receiving immunotherapy. Our objective was to study the prognostic value of PNI and SII in these patients. Methods Seventy-five MSI-H mCRC patients were enrolled in our study. Logistic regression analysis was used to identify features that influenced immunotherapy response. Survival differences between groups of mCRC patients were compared using the Kaplan-Meier method and log-rank test. The independent risk parameters for progression-free survival (PFS) and overall survival (OS) of patients with MSI-H mCRC were established by Cox proportional risk regression analysis. Results The optimal SII and PNI cutoff values were 409.6 and 51.35. Higher PNI (p = 0.012) and lower high-density lipoprotein cholesterol (HDLC, p = 0.012) were associated with a better immunotherapy response. SII (p = 0.031), cholesterol (CHO) (p = 0.007) and aspartate aminotransferase (AST) (p = 0.031) were independent prognostic factors correlated with OS. Higher PNI (p = 0.012) and lower AST (p = 0.049) were negative predictors of PFS. In addition, patients suffered from immune-related adverse events (irAEs) had a lower SII level (p = 0.04). Conclusion Higher AST and SII, and lower PNI predict worse outcomes in MSI-H mCRC patients undergoing immunotherapy. Moreover, patients with lower SII before immunotherapy suffered from irAEs more often.
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Affiliation(s)
- Jiahong Yi
- Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ju Xue
- Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lin Yang
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Liangping Xia
- Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wenzhuo He
- Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
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Shi Y, Wang Z, Ge S, Xia N, Yuan Q. Hepatitis B Core Antibody Level: A Surrogate Marker for Host Antiviral Immunity in Chronic Hepatitis B Virus Infections. Viruses 2023; 15:v15051111. [PMID: 37243197 DOI: 10.3390/v15051111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 04/28/2023] [Accepted: 04/30/2023] [Indexed: 05/28/2023] Open
Abstract
The hepatitis B virus core protein (HBcAg) is a highly immunogenic particulate antigen. Nearly all patients with persistent or resolved hepatitis B virus (HBV) infection show seropositivity for hepatitis B core antibody (anti-HBc), which appears in the early stage of infection and is mostly present for life. Traditionally, the anti-HBc is regarded as an evidential serological marker of HBV infections. In the last ten years, several studies revealed the predictive value of quantitative anti-HBc (qAnti-HBc) level in the treatment response and clinical outcome of chronic HBV infections, implying new insights into this classic marker. Overall, qAnti-HBc should be regarded as an indicator of the host's immune response specific to HBV, which correlates with HBV-related hepatitis activity and liver pathology. This review summarized the latest understanding of the clinical values of qAnti-HBc for differentiating the CHB phase, predicting treatment response, and providing disease prognosis. Moreover, we also discussed the possible mechanism of qAnti-HBc regulation during different courses of HBV infection.
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Affiliation(s)
- Yang Shi
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361102, China
- NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, National Institute of Diagnostics Vaccine Development in Infectious Diseases, School of Public Health, Xiamen 361102, China
| | - Zihan Wang
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361102, China
- NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, National Institute of Diagnostics Vaccine Development in Infectious Diseases, School of Public Health, Xiamen 361102, China
| | - Shengxiang Ge
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361102, China
- NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, National Institute of Diagnostics Vaccine Development in Infectious Diseases, School of Public Health, Xiamen 361102, China
| | - Ningshao Xia
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361102, China
- NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, National Institute of Diagnostics Vaccine Development in Infectious Diseases, School of Public Health, Xiamen 361102, China
| | - Quan Yuan
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361102, China
- NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, National Institute of Diagnostics Vaccine Development in Infectious Diseases, School of Public Health, Xiamen 361102, China
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Li S, Li Z, Du H, Zao X, Gan D, Yang X, Li X, Xing Y, Ye Y. Identification of pseudo-immune tolerance for chronic hepatitis B patients: Development and validation of a non-invasive prediction model. Front Public Health 2023; 11:1137738. [PMID: 37089512 PMCID: PMC10113541 DOI: 10.3389/fpubh.2023.1137738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/17/2023] [Indexed: 04/07/2023] Open
Abstract
Background and aimsPatients with chronic hepatitis B (CHB) in the immune tolerant (IT) phase were previously thought to have no or slight inflammation or fibrosis in the liver. In fact, some CHB patients with normal ALT levels still experience liver fibrosis. This study aimed to develop and validate a non-invasive model for identifying pseudo-immune tolerance (pseudo-IT) of CHB by predicting significant liver fibrosis.MethodsThis multi-center study enrolled a total of 445 IT-phase patients who had undergone liver biopsy for the training cohort (n = 289) and validation cohort (n = 156) during different time periods. A risk model (IT-3) for predicting significant liver fibrosis (Ishak score ≥ 3) was developed using high-risk factors which were identified using multivariate stepwise logistic regression. Next, an online dynamic nomogram was created for the clinical usage. The receiver operating characteristic (ROC) curve, net reclassification improvement and integrated discrimination improvement were used to assess the discrimination of the IT-3 model. Calibration curves were used to evaluate the models’ calibration. The clinical practicability of the model was evaluated using decision curve analysis and clinical impact curves.Results8.8% (39 of 445) patients presented with significant liver fibrosis in this study. Aspartate aminotransferase (AST), hepatitis B e-antigen (HBeAg), and platelet (PLT) were included in the prediction model (IT-3). The IT-3 model showed good calibration and discrimination both in the training and validation cohorts (AUC = 0.888 and 0.833, respectively). The continuous NRI and IDI showed that the IT-3 model had better predictive accuracy than GPR, APRI, and FIB-4 (p < 0.001). Decision curve analysis and clinical impact curves were used to demonstrate the clinical usefulness. At a cut-off value of 106 points, the sensitivity and specificity were 91.7 and 70.2%, respectively.ConclusionThe IT-3 model proved an accurate non-invasive method in identifying pseudo-IT of CHB, which can help to formulate more appropriate treatment strategies.
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Affiliation(s)
- Shuo Li
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Zhiguo Li
- Department of Gastroenterology, Beijing Fengtai Hospital of Integrated Traditional and Western Medicine, Beijing, China
| | - Hongbo Du
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaobin Zao
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Da’nan Gan
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Xianzhao Yang
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoke Li
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Xiaoke Li,
| | - Yufeng Xing
- Department of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Yufeng Xing,
| | - Yong’an Ye
- Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute of Liver Diseases, Beijing University of Chinese Medicine, Beijing, China
- Yong’an Ye,
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Clinical Utility of Quantitative HBV Core Antibodies for Solving Diagnostic Dilemmas. Viruses 2023; 15:v15020373. [PMID: 36851587 PMCID: PMC9965363 DOI: 10.3390/v15020373] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/20/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
The present-day management of hepatitis B virus (HBV) infection relies on constant and appropriate monitoring of viral activity, disease progression and treatment response. Traditional HBV infection biomarkers have many limitations in predicting clinical outcomes or therapy success. Quantitation of HBV core antibodies (qAnti-HBc) is a new non-invasive biomarker that can be used in solving multiple diagnostic problems. It was shown to correlate well with infection phases, level of hepatic inflammation and fibrosis, exacerbations during chronic infection and presence of occult infection. Further, the level of qAnti-HBc was recognised as predictive of spontaneous or therapy-induced HBeAg and HBsAg seroclearance, relapse after therapy discontinuation, re-infection after liver transplantation and viral reactivation upon immunosuppression. However, qAnti-HBc cannot be relied upon as a single diagnostic test to solve all dilemmas, and its diagnostic and prognostic power can be much improved when combined with other diagnostic biomarkers (HBV DNA, HBeAg, qHBsAg and anti-HBs antibodies). The availability of commercial qAnti-HBc diagnostic kits still needs to be improved. The comparison of results from different studies and definitions of universal cut-off values continue to be hindered because many methods are only semi-quantitative. The clinical utility of qAnti-HBc and the methods used for its measurement are the focus of this review.
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Zhang C, Liu Y, Li J, Liu H, Shao C, Liu D, Yu M, Xi H, Zhao H, Wang G. Dose-response relationship between qAnti-HBc and liver inflammation in chronic hepatitis B with normal or mildly elevated ALT based on liver biopsy. J Med Virol 2022; 94:3911-3923. [PMID: 35419853 DOI: 10.1002/jmv.27779] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/06/2022] [Accepted: 04/12/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND The proportion of chronic hepatitis B(CHB) patients with normal or mildly elevated ALT(NMALT) levels who have moderate to severe inflammation was not rare. However, we lacked appropriate biomarkers to evaluate liver inflammation in these populations. We aimed to explore the relationship between quantitative hepatitis B core antibody(qAnti-HBc) and hepatic histological inflammation. METHOD This multi-center cohort study enrolled participants from 34 Chinese hospital including 1376 treatment-naive CHB patients with liver biopsy(934 with NMALT entered treatment-naive cohort; 423 with secondary liver biopsy entered treatment cohort). Using unadjusted and multivariate-adjusted generalized linear models, generalized additive models with smooth curve fitting, we evaluated the associations between qAnti-HBc and liver inflammation in these patients. RESULTS In the treatment-naive patients, qAnti-HBc was positively associated with liver inflammation(histology activity index[HAI] evaluated by Ishak scoring system)(fully-adjusted model: β=0.48, 95%CI[0.30-0.66], P<0.001). For per-SD increase in qAnti-HBc, the risk of moderate to severe inflammation(HAI≥5) increased by 56%(OR=1.56, 95%CI[1.28-1.91], P<0.001). The curve fitting indicated a significant "threshold effect" (inflection point was 4.5 log10 IU/mL, P<0.001). Subgroup analyses and interactions were not significant(all P>0.05). In the treatment patients, there was no significant correlation between qAnti-HBc and liver inflammation, whether based on unadjusted, minimally-adjusted, or fully-adjusted models(all P>0.100). Paired analyses showed a significant correlation between decreasing in qAnti-HBc and alleviation of liver inflammation. CONCLUSIONS qAnti-HBc was positively correlated with liver inflammation in treatment-naive CHB patients with NMALT. The cutoff value of qAnti-HBc for the diagnosis of moderate to severe inflammation was 4.5 log10 IU/mL. Decreasing in qAnti-HBc was positively correlated with liver inflammation relieving. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Chi Zhang
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China
| | - Yiqi Liu
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China
| | - Jiawen Li
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China
| | - Hui Liu
- Department of Pathology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Chen Shao
- Department of Pathology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Dan Liu
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China
| | - Min Yu
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China
| | - Hongli Xi
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China
| | - Hong Zhao
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China.,Department of Infectious Diseases, Peking University International Hospital, Beijing, 102206, China
| | - Guiqiang Wang
- Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China.,Department of Infectious Diseases, Peking University International Hospital, Beijing, 102206, China
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