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Zhong W, Wang C, Wang J, Chen T. Machine learning models to further identify advantaged populations that can achieve functional cure of chronic hepatitis B virus infection after receiving Peg-IFN alpha treatment. Int J Med Inform 2025; 193:105660. [PMID: 39454328 DOI: 10.1016/j.ijmedinf.2024.105660] [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: 04/26/2024] [Revised: 10/12/2024] [Accepted: 10/18/2024] [Indexed: 10/28/2024]
Abstract
OBJECTIVE Functional cure is currently the highest goal of hepatitis B virus(HBV) treatment.Pegylated interferon(Peg-IFN) alpha is an important drug for this purpose,but even in the hepatitis B e antigen(HBeAg)-negative population,there is still a portion of the population respond poorly to it.Therefore,it is important to explore the influencing factors affecting the response rate of Peg-IFN alpha and establish a prediction model to further identify advantaged populations. METHODS We retrospectively analyzed 382 patients.297 patients were in the training set and 85 patients from another hospital were in the test set.The intersect features were extracted from all variables using the recursive feature elimination(RFE) algorithm, Boruta algorithm, and least absolute shrinkage and selection operator(LASSO) regression algorithm in the training dataset.Then,we employed six machine learning(ML) algorithms-Logistic Regression(LR),Random Forest(RF),Support Vector Machines(SVM),K Nearest Neighbors(KNN),Light Gradient Boosting Machine(LightGBM) and Extreme Gradient Boosting(XGBoost)-to develop the model.Internal 10-fold cross-validation helped determine the best-performing model,which was then tested externally.Model performance was assessed using metrics such as area under the curve(AUC) and other metrics.SHapley Additive exPlanations(SHAP) plots were used to interpret variable significance. RESULTS 138/382(36.13 %) patients achieved functional cure.HBsAg at baseline,HBsAg decline at week12,non-alcoholic fatty liver disease(NAFLD) and age were identified as significant variables.RF performed the best,with AUC value of 0.988,and maintained good performance in test set.The SHapley Additive exPlanations(SHAP) plot highlighted HBsAg at baseline and HBsAg decline at week 12 are the top two predictors.The web-calculator was designed to predict functional cure more conveniently(https://www.xsmartanalysis.com/model/list/predict/model/html?mid = 17054&symbol = 317ad245Hx628ko3uW51). CONCLUSION We developed a prediction model,which can be used to not only accurately identifies advantageous populations with Peg-IFN alpha,but also determines whether to continue subsequent Peg-IFN alpha.
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Affiliation(s)
- Wenting Zhong
- Department of Infectious Disease, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Che Wang
- Department of Radiology Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jia Wang
- Department of Infectious Disease, The Eight Hospital of Xi'an, Xi'an, Shaanxi, China
| | - Tianyan Chen
- Department of Infectious Disease, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
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Tan Z, Kong N, Zhang Q, Gao X, Shang J, Geng J, You R, Wang T, Guo Y, Wu X, Zhang W, Qu L, Zhang F. Predictive model for HBsAg clearance rate in chronic hepatitis B patients treated with pegylated interferon α-2b for 48 weeks. Hepatol Int 2024:10.1007/s12072-024-10764-5. [PMID: 39702655 DOI: 10.1007/s12072-024-10764-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Accepted: 11/29/2024] [Indexed: 12/21/2024]
Abstract
BACKGROUND AND AIMS Chronic hepatitis B (CHB) is a major global health concern. This study aims to investigate the factors influencing hepatitis B surface antigen (HBsAg) clearance in CHB patients treated with pegylated interferon α-2b (Peg-IFNα-2b) for 48 weeks and to establish a predictive model. METHODS This analysis is based on the "OASIS" project, a prospective real-world multicenter study in China. We included CHB patients who completed 48 weeks of Peg-IFNα-2b treatment. Patients were randomly assigned to a training set and a validation set in a ratio of approximately 4:1 by spss 26.0, and were divided into clearance and non-clearance groups based on HBsAg status at 48 weeks. Clinical data were analyzed using SPSS 26.0, employing chi-square tests for categorical data and Mann-Whitney U tests for continuous variables. Significant factors (p < 0.05) were incorporated into a binary logistic regression model to identify independent predictors of HBsAg clearance. The predictive model's performance was evaluated using ROC curve analysis. RESULTS We included 868 subjects, divided into the clearance group (187 cases) and the non-clearance group (681 cases). They were randomly assigned to a training set (702 cases) and a validation set (166 cases). Key predictors included female gender (OR = 1.879), lower baseline HBsAg levels (OR = 0.371), and cirrhosis (OR = 0.438). The final predictive model was: Logit(P) = 0.92 + Gender (Female) * 0.66 - HBsAg (log) * 0.96 - Cirrhosis * 0.88. ROC analysis showed an AUC of 0.80 for the training set and 0.82 for the validation set, indicating good predictive performance. CONCLUSION Gender, baseline HBsAg levels, and cirrhosis are significant predictors of HBsAg clearance in CHB patients after 48 weeks of Peg-IFNα-2b therapy. The developed predictive model demonstrates high accuracy and potential clinical utility.
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Affiliation(s)
- Zhili Tan
- Department of Infectious Diseases, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Nan Kong
- Department of Infectious Diseases, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Qiran Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaohong Gao
- Department of Infectious Diseases, Yanan University Affiliated Hospital, Yan'an, Shaanxi, China
| | - Jia Shang
- Department of Infectious Disease and Hepatic Disease, Henan Provincial People's Hospital, Henan, China
| | - Jiawei Geng
- Department of Infectious Disease and Hepatic Disease, First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Ruirui You
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tao Wang
- Department of Infectious Diseases, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Ying Guo
- Deparment of Hepatology, The Third People's Hospital of Taiyuan, Taiyuan, China.
| | - Xiaoping Wu
- Department of Infectious Diseases, the First Affiliated Hospital of Nanchang University, Nanchang, China.
| | - Wenhong Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Lihong Qu
- Department of Infectious Diseases, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, China.
| | - Fengdi Zhang
- Department of Infectious Diseases, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, China.
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Wang J, Zhang Z, Zhu L, Zhang Q, Zhang S, Pan Y, Liu J, Cao F, Fan T, Xiong Y, Yin S, Yan X, Chen Y, Zhu C, Li J, Liu X, Wu C, Huang R. Association of hepatitis B core antibody level and hepatitis B surface antigen clearance in HBeAg-negative patients with chronic hepatitis B. Virulence 2024; 15:2404965. [PMID: 39317345 PMCID: PMC11423664 DOI: 10.1080/21505594.2024.2404965] [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: 01/31/2024] [Revised: 08/15/2024] [Accepted: 09/05/2024] [Indexed: 09/26/2024] Open
Abstract
Predicting hepatitis B surface antigen (HBsAg) clearance is important for chronic hepatitis B (CHB) patients receiving pegylated interferon-alfa (Peg-IFN) therapy. We aimed to determine the predictive value of serum hepatitis B core antibody (anti-HBc) for HBsAg clearance. A total of 189 HBeAg-negative CHB patients who received Peg-IFN based therapy were retrospectively included and classified into two groups: nucleos(t)ide analogues (NAs) add-on Peg-IFN group (add-on group, n = 94) and Peg-IFN combined with NAs or Peg-IFN monotherapy group (combination or monotherapy group, n = 95). After 48 weeks of treatment, 27.5% (52/189) and 15.9% (30/189) of patients achieved HBsAg clearance and seroconversion, respectively. Patients in the combination or monotherapy group tended to achieve relatively higher HBsAg clearance (31.6% vs. 23.4%, p = 0.208) and seroconversion (21.1% vs. 10.6%, p = 0.050) rates than those in the add-on group. In combination or monotherapy group, anti-HBc levels at week 12 were lower in patients with HBsAg clearance (9.0 S/CO vs. 9.9 S/CO, p < 0.001) and seroconversion (8.8 S/CO vs. 9.8 S/CO, p < 0.001) than those without. Anti-HBc level at week 12 was an independent predictor of HBsAg clearance and seroconversion. Patients with lower anti-HBc levels at week 12 showed a more significant decline in HBsAg levels during treatment. Combination of anti-HBc at week 12 and baseline HBsAg could identify over 70% of patients who achieved HBsAg clearance after 48 weeks of treatment. In addition to HBsAg, anti-HBc level could be used as a promising marker for selecting HBeAg-negative CHB patients who are more likely to respond to Peg-IFN-based therapy.
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Affiliation(s)
- 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
| | - Li Zhu
- Department of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Qing Zhang
- Department of Infectious Diseases, Huai’an No. 4 People’s Hospital, Huai’an, Jiangsu, China
| | - Shaoqiu Zhang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yifan Pan
- 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
| | - Fei Cao
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Tao Fan
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ye Xiong
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Shengxia Yin
- 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
| | - Xiaomin Yan
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, 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, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Chuanwu Zhu
- Department of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Jie Li
- 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
| | - Xingxiang Liu
- Department of Clinical Laboratory, Huai’an No. 4 People’s Hospital, Huai’an, Jiangsu, China
| | - Chao Wu
- 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, 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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Song K, Ren L, Qian Y, Wang H, Guo Z, Zhang H, Lin Y, Zheng Y, Zeng D, Zhou Y, Su Z, Yu X. Effect of dyslipidemia on HBsAg clearance in nucleos(t)ide analogues-experienced chronic hepatitis B patients treated with peginterferon alfa. BMC Infect Dis 2024; 24:1273. [PMID: 39528941 PMCID: PMC11552151 DOI: 10.1186/s12879-024-10093-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND While previous reports have shown that hepatitis B virus (HBV) infection affects lipid metabolism and vice versa, the impact of dyslipidemia on the functional cure of HBV infection following peginterferon alfa (PegIFNα) therapy remains unknown. Hence, this study aimed to investigate the effect of dyslipidemia on hepatitis B surface antigen (HBsAg) clearance and develop a nomogram model for predicting patients for whom PegIFNα therapy is indicated. METHODS A total of 160 nucleos(t)ide analogues (NAs)- experienced chronic hepatitis B (CHB) patients treated with PegIFNα (180 µg/week) were enrolled in this study. The relationship between serum lipid and HBsAg clearance was analysed. Univariate and multivariate COX analyses were used to construct and plot the nomogram model. The area under the receiver operating characteristic curve (AUC) and calibration curve were used to evaluate the discrimination and calibration of the model, respectively. RESULTS After 48 weeks of PegIFNα therapy, a total of 33 patients in the cohort achieved HBsAg clearance. Univariate and multivariate COX analyses indicated that dyslipidemia was significantly associated with HBsAg clearance and was an independent predictor of HBsAg clearance (HR = 0.243, P = 0.001). Kaplan-Meier survival analyses show that cumulative HBsAg clearance was significantly higher in the normolipidemic group than in the dyslipidemia group (log-rank test, P = 0.007). During the treatment, triglyceride showed an increasing trend, while the levels of total cholesterol, high-density lipoprotein, low-density lipoprotein, apolipoprotein A1 and apolipoprotein B decreased. Dyslipidemia and other indicators independently associated with HBsAg clearance were used to construct the nomogram model. The AUC of the model at 36-week and 48-week were 0.879 and 0.856, and the model demonstrated good discrimination and calibration. CONCLUSION Dyslipidemia can affect the antiviral efficacy of PegIFNα in NAs-experienced CHB patients. Our findings suggest that the nomogram model constructed using serum lipid has good predictive power and may help physicians to identify the superior patients for PegIFNα therapy.
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Affiliation(s)
- Kaimin Song
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China
| | - Lan Ren
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China
| | - Yunyun Qian
- Department of Organ Transplantation, School of Medicine, Organ Transplantation Clinical Medical Center of Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361005, Fujian, China
| | - Huitong Wang
- Department of Organ Transplantation, School of Medicine, Organ Transplantation Clinical Medical Center of Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361005, Fujian, China
| | - Zhixiang Guo
- Department of Organ Transplantation, School of Medicine, Organ Transplantation Clinical Medical Center of Xiamen University, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361005, Fujian, China
| | - Huatang Zhang
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China
| | - Yijie Lin
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China
| | - Yijuan Zheng
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China
| | - Dawu Zeng
- Department of Liver Center, the First Hospital Affiliated to Fujian Medical University, Fuzhou, 350005, China
| | - Yongjun Zhou
- Institute of Bioengineering and Biotechnology, College of Life Sciences and Chemistry, Minnan Science and Technology University, Quanzhou, 362000, China.
| | - Zhijun Su
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China.
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China.
| | - Xueping Yu
- Department of Infection Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian province, Fujian Medical University Affiliated First Quanzhou hospital, No. 250 East Street, Licheng District, Quanzhou, 362000, Fujian, China.
- Key Laboratory of Screening and Control of Infectious Diseases (Quanzhou Medical College), Fujian Provincial University, Quanzhou, 362000, Fujian, China.
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Li Y, Yang S, Li C, Ma Z, Zhang M, Zou W, Wu Z, Hou H, Wang W, Zhu L. Efficacy of short-term Peg-IFN α-2b treatment in chronic hepatitis B patients with ultra-low HBsAg levels: a retrospective cohort study. Virol J 2024; 21:231. [PMID: 39334422 PMCID: PMC11428405 DOI: 10.1186/s12985-024-02512-w] [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: 06/17/2024] [Accepted: 09/19/2024] [Indexed: 09/30/2024] Open
Abstract
PURPOSE Peginterferon alfa-2b (Peg-IFN α-2b) has demonstrated superior efficacy over nucleos(t)ide analogs (NAs) in the treatment of chronic hepatitis B (CHB), particularly among patients with low levels of hepatitis B surface antigen (HBsAg). This study aims to determine whether patients with ultra-low HBsAg levels (< 200 IU/mL) can achieve significantly higher clinical cure rates with abbreviated courses of Peg-IFN α-2b therapy. METHODS In this retrospective analysis, CHB patients with HBsAg levels below 200 IU/mL were categorized into a Peg-IFN α-2b group and a control group. The Peg-IFN α-2b group received Peg-IFN α-2b for a minimum of 24 weeks, with the possibility of early discontinuation upon achieving HBsAg clearance, and were followed through week 48. The control group remained untreated for hepatitis B virus (HBV), and was observed for 24 weeks. HBsAg clearance rates were compared between groups. Univariate and multivariate logistic regression analyses were employed to identify factors associated with HBsAg clearance . RESULTS By week 24, the HBsAg clearance rate in the Peg-IFN α-2b group was notably 52.1% (38/73), contrasting sharply with the mere 1.3% (1/77) observed in the control group. Within the Peg-IFN α-2b group, a substantial 97.3% (71/73) of patients noted a reduction in HBsAg levels. Besides, the decision to continue or discontinue treatment after the 24-week mark had no significant impact on the HBsAg clearance rate at week 48. Multivariable analysis pinpointed baseline HBsAg levels (OR = 0.984, p = 0.001) and the presence of fatty liver (OR = 5.960, p = 0.033) as independent predictors of HBsAg clearance. CONCLUSION Our findings confirm that a 24-week course of Peg-IFN α-2b yields robust efficacy in CHB patients with ultra-low HBsAg levels. Prolonging treatment beyond the 24-week threshold is deemed unnecessary. Both baseline HBsAg level and the presence of fatty liver emerged as significant predictors for HBsAg clearance.
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Affiliation(s)
- Yuying Li
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Siqi Yang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, 430062, Hubei, China
| | - Cong Li
- Department of Urology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Zhenjie Ma
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Mengmeng Zhang
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Wenhang Zou
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Zihao Wu
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Haiyan Hou
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Weixing Wang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, 430062, Hubei, China.
| | - Liying Zhu
- Department of Infectious Diseases, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, China.
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Zhong W, Yan L, Zhu Y, Shi L, He Y, Chen T, Zheng J. A high functional cure rate was induced by pegylated interferon alpha-2b treatment in postpartum hepatitis B e antigen-negative women with chronic hepatitis B virus infection: an exploratory study. Front Cell Infect Microbiol 2024; 14:1426960. [PMID: 39176265 PMCID: PMC11338904 DOI: 10.3389/fcimb.2024.1426960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 07/24/2024] [Indexed: 08/24/2024] Open
Abstract
Background and aims Limited data have been reported on achieving functional cure using pegylated interferon (Peg-IFN) alpha-2b treatment for postpartum hepatitis B e antigen (HBeAg)-negative women with chronic hepatitis B virus (HBV) infection. This study was to assess the effectiveness and safety of Peg-IFN alpha-2b in HBV postpartum women without HBeAg and identify factors linked to the functional cure. Methods A total of 150 HBeAg-negative postpartum women were retrospectively recruited.47 patients received Peg-IFN alpha-2b [Peg-IFN(+) group] and 103 patients did not [Peg-IFN(-) group]. Propensity score matching (PSM) was used to adjust the baseline imbalance between the two groups. The patients were followed for at least 48 weeks. The primary endpoints were hepatitis B surface antigen(HBsAg) loss and HBsAg seroconversion at 48 weeks. Logistic regression analysis was used to assess factors associated with HBsAg loss at 48 weeks. Results At week 48,the HBsAg loss and seroconversion rate in Peg-IFN(+) group were 51.06%(24/47) and 40.43%(19/47), respectively. Even after PSM, Peg-IFN(+) group still showed higher HBsAg loss rate (50.00% vs 7.14%,p<0.001) and higher HBsAg seroconversion rate (38.10% vs 2.38%,p<0.001). Baseline HBsAg levels (Odds Ratio [OR]: 0.051, 95% Confidence Interval [CI]: 0.003-0.273, P=0.010), HBsAg at week 24 (OR:0.214, 95%CI:0.033-0.616, P=0.022), HBsAg decline at week 24 (OR:4.682, 95%CI: 1.624-30.198, P=0.022) and postpartum flare (OR:21.181, 95%CI:1.872-633.801, P=0.030) were significantly associated with HBsAg loss at week 48 after Peg-IFN alpha-2b therapy. Furthermore, the receiver operating characteristic curve (ROC) showed that the use of baseline HBsAg<182 IU/mL, HBsAg at week24 < 4 IU/mL and HBsAg decline at week24>12IU/mL were good predictors of HBsAg loss. No serious adverse events were reported. Conclusion Peg-IFN alpha-2b treatment could achieve a high rate of HBsAg loss and seroconversion in HBeAg-negative postpartum women with reliable safety, particularly for patients experience postpartum flare and have low baseline HBsAg levels.
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Affiliation(s)
- Wenting Zhong
- Department of Infectious Disease, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Lanzhi Yan
- Department of Infectious Disease, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Yage Zhu
- Department of Infectious Disease, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Lei Shi
- Department of Infectious Disease, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Yingli He
- Department of Infectious Disease, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Tianyan Chen
- Department of Infectious Disease, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Jie Zheng
- Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Zhang PX, Tang QQ, Zhu J, Deng WY, Zhang ZH. Predictive models for functional cure in patients with CHB receiving PEG-IFN therapy based on HBsAg quantification through meta-analysis. Hepatol Int 2024; 18:1110-1121. [PMID: 38913149 DOI: 10.1007/s12072-024-10666-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 02/25/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND AND AIMS The efficacy of achieving HBsAg clearance through pegylated interferon (PEG-IFNα) therapy in patients with chronic hepatitis B (CHB) remains uncertain, especially regarding the probability of achieving functional cure among patients with varying baseline HBsAg levels. We aimed to investigate the predictive value of HBsAg quantification for HBsAg seroclearance in CHB patients undergoing PEG-IFNα treatment. METHODS A systematic search was conducted in PubMed, Embase, and the Cochrane Library up to January 11, 2022. Subgroup analyses were performed for HBeAg-positive and HBeAg-negative patients, PEG-IFNα monotherapy and PEG-IFNα combination therapy, treatment-naive and treatment-experienced patients, and patients with or without liver cirrhosis. RESULTS This predictive model incorporated 102 studies. The overall HBsAg clearance rates at the end of treatment (EOT) and the end of follow-up (EOF) were 10.6% (95% CI 7.8-13.7%) and 11.1% (95% CI 8.4-14.1%), respectively. Baseline HBsAg quantification was the most significant factor. According to the model, it is projected that when baseline HBsAg levels are 100, 500, 1500, and 10,000 IU/ml, the HBsAg clearance rates at EOF could reach 53.9% (95% CI 40.4-66.8%), 32.1% (95% CI 24.8-38.7%), 14.2% (95% CI 9.8-18.8%), and 7.9% (95% CI 4.2-11.8%), respectively. Additionally, treatment-experienced patients with HBeAg-negative status, and without liver cirrhosis exhibited higher HBsAg clearance rates after PEG-IFNα treatment. CONCLUSION A successful predictive model has been established to predict the achievement of functional cure in CHB patients receiving PEG-IFNα therapy.
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Affiliation(s)
- Pei-Xin Zhang
- Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Qian-Qian Tang
- Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Jie Zhu
- Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Wan-Yu Deng
- College of Life Science, Shangrao Normal University, Shangrao, China
| | - Zhen-Hua Zhang
- Department of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China.
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8
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Jiang P, Jia H, Qian X, Tang T, Han Y, Zhang Z, Jiang L, Yu Z, Zheng L, Yu G, Cai H, Zhang S, Zhang X, Gu J, Ye C, Yang L, Lu Y, Liu H, Lu X, Jin C, Ren Y, Lu M, Xu L, Yu J, Jin X, Yang Y, Qian P. Single-cell RNA sequencing reveals the immunoregulatory roles of PegIFN-α in patients with chronic hepatitis B. Hepatology 2024; 79:167-182. [PMID: 37368993 DOI: 10.1097/hep.0000000000000524] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 06/03/2023] [Indexed: 06/29/2023]
Abstract
BACKGROUND AND AIMS Chronic hepatitis B (CHB) is caused by HBV infection and affects the lives of millions of people worldwide by causing liver inflammation, cirrhosis, and liver cancer. Interferon-alpha (IFN-α) therapy is a conventional immunotherapy that has been widely used in CHB treatment and achieved promising therapeutic outcomes by activating viral sensors and interferon-stimulated genes (ISGs) suppressed by HBV. However, the longitudinal landscape of immune cells of CHB patients and the effect of IFN-α on the immune system are not fully understood. APPROACH AND RESULTS Here, we applied single-cell RNA sequencing (scRNA-seq) to delineate the transcriptomic landscape of peripheral immune cells in CHB patients before and after PegIFN-α therapy. Notably, we identified three CHB-specific cell subsets, pro-inflammatory (Pro-infla) CD14+ monocytes, Pro-infla CD16+ monocytes and IFNG+ CX3CR1- NK cells, which highly expressed proinflammatory genes and positively correlated with HBsAg. Furthermore, PegIFN-α treatment attenuated percentages of hyperactivated monocytes, increased ratios of long-lived naive/memory T cells and enhanced effector T cell cytotoxicity. Finally, PegIFN-α treatment switched the transcriptional profiles of entire immune cells from TNF-driven to IFN-α-driven pattern and enhanced innate antiviral response, including virus sensing and antigen presentation. CONCLUSIONS Collectively, our study expands the understanding of the pathological characteristics of CHB and the immunoregulatory roles of PegIFN-α, which provides a new powerful reference for the clinical diagnosis and treatment of CHB.
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Affiliation(s)
- Penglei Jiang
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Hongyu Jia
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Xinyue Qian
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Tian Tang
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yingli Han
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Zhaoru Zhang
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Lingli Jiang
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Zebin Yu
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Lin Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Guodong Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Huan Cai
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Shanyan Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Xiaoli Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Jueqing Gu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Chanyuan Ye
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Lisha Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Yingfeng Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Heng Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Xiaoqing Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Ciliang Jin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Yue Ren
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Miaomiao Lu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingling Xu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Gastroenterology, The Second People's Hospital of Yuhang District, Hangzhou, China
| | - Jiong Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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 Jin
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yida Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical 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
| | - Pengxu Qian
- Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
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9
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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: 29] [Impact Index Per Article: 14.5] [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
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10
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Wang Y, Guo L, Shi J, Li J, Wen Y, Gu G, Cui J, Feng C, Jiang M, Fan Q, Tang J, Chen S, Zhang J, Zheng X, Pan M, Li X, Sun Y, Zhang Z, Li X, Hu F, Zhang L, Tang X, Li F. Interferon stimulated immune profile changes in a humanized mouse model of HBV infection. Nat Commun 2023; 14:7393. [PMID: 37968364 PMCID: PMC10652013 DOI: 10.1038/s41467-023-43078-5] [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: 02/25/2023] [Accepted: 10/30/2023] [Indexed: 11/17/2023] Open
Abstract
The underlying mechanism of chronic hepatitis B virus (HBV) functional cure by interferon (IFN), especially in patients with low HBsAg and/or young ages, is still unresolved due to the lack of surrogate models. Here, we generate a type I interferon receptor humanized mouse (huIFNAR mouse) through a CRISPR/Cas9-based knock-in strategy. Then, we demonstrate that human IFN stimulates gene expression profiles in huIFNAR peripheral blood mononuclear cells (PBMCs) are similar to those in human PBMCs, supporting the representativeness of this mouse model for functionally analyzing human IFN in vivo. Next, we reveal the tissue-specific gene expression atlas across multiple organs in response to human IFN treatment; this pattern has not been reported in healthy humans in vivo. Finally, by using the AAV-HBV model, we test the antiviral effects of human interferon. Fifteen weeks of human PEG-IFNα2 treatment significantly reduces HBsAg and HBeAg and even achieves HBsAg seroconversion. We observe that activation of intrahepatic monocytes and effector memory CD8 T cells by human interferon may be critical for HBsAg suppression. Our huIFNAR mouse can authentically respond to human interferon stimulation, providing a platform to study interferon function in vivo. PEG-IFNα2 treatment successfully suppresses intrahepatic HBV replication and achieves HBsAg seroconversion.
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Affiliation(s)
- Yaping Wang
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Liliangzi Guo
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Jingrong Shi
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Jingyun Li
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Yanling Wen
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital; The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Guoming Gu
- Guangzhou XY Biotechnology Co., Ltd, Room 2048, Building 1, No. 6, Nanjiang Second Road, Pearl River Street, Nansha District, Guangzhou, China
| | - Jianping Cui
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Chengqian Feng
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Mengling Jiang
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Qinghong Fan
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Jingyan Tang
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Sisi Chen
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Jun Zhang
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Xiaowen Zheng
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Meifang Pan
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Xinnian Li
- Guangzhou Forevergen Medical Laboratory, Room 802, No. 8, Luoxuan 3rd Road, Haizhu, Guangzhou, Guangdong, China
| | - Yanxia Sun
- Cytek (Shanghai) Biosciences Co, Ltd, Guangzhou, China
| | - Zheng Zhang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital; The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Xian Li
- Guangzhou XY Biotechnology Co., Ltd, Room 2048, Building 1, No. 6, Nanjiang Second Road, Pearl River Street, Nansha District, Guangzhou, China
| | - Fengyu Hu
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China
| | - Liguo Zhang
- CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xiaoping Tang
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China.
| | - Feng Li
- Institute of infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, 8 Huaying Road, Baiyun District, Guangzhou, Guangdong Province, China.
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11
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Wang WX, Jia R, Jin XY, Li X, Zhou SN, Zhang XN, Zhou CB, Wang FS, Fu J. Serum cytokine change profile associated with HBsAg loss during combination therapy with PEG-IFN-α in NAs-suppressed chronic hepatitis B patients. Front Immunol 2023; 14:1121778. [PMID: 36756119 PMCID: PMC9899895 DOI: 10.3389/fimmu.2023.1121778] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/09/2023] [Indexed: 01/24/2023] Open
Abstract
Objective The aim of this study was to explore the profile of cytokine changes during the combination therapy with pegylated interferon alpha (PEG-IFN-α) and its relationship with HBsAg loss in nucleos(t)ide analogs (NAs)-suppressed chronic hepatitis B patients. Methods Seventy-six patients with chronic hepatitis B with HBsAg less than 1,500 IU/ml and HBV DNA negative after receiving ≥ 1-year NAs therapy were enrolled. Eighteen patients continued to take NAs monotherapy (the NAs group), and 58 patients received combination therapy with NAs and PEG-IFN-α (the Add-on group). The levels of IFNG, IL1B, IL1RN, IL2, IL4, IL6, IL10, IL12A, IL17A, CCL2, CCL3, CCL5, CXCL8, CXCL10, TNF, and CSF2 in peripheral blood during treatment were detected. Results At week 48, 0.00% (0/18) in the NAs group and 25.86% (15/58) in the Add-on group achieved HBsAg loss. During 48 weeks of combined treatment, there was a transitory increase in the levels of ALT, IL1RN, IL2, and CCL2. Compared to the NAs group, CXCL8 and CXCL10 in the Add-on group remain higher after rising, yet CCL3 showed a continuously increasing trend. Mild and early increases in IL1B, CCL3, IL17A, IL2, IL4, IL6, and CXCL8 were associated with HBsAg loss or decrease >1 log, while sustained high levels of CCL5 and CXCL10 were associated with poor responses to Add-on therapy at week 48. Conclusions The serum cytokine change profile is closely related to the response to the combination therapy with PEG-IFN-α and NAs, and may help to reveal the mechanism of functional cure and discover new immunological predictors and new therapeutic targets.
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Affiliation(s)
- Wen-Xin Wang
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Rui Jia
- Department of Gastroenterology, The 985th Hospital of Joint Logistic Support Force of Chinese PLA, Taiyuan, China
| | - Xue-Yuan Jin
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Xiaoyan Li
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China,Medical School of Chinese PLA, Beijing, China
| | - Shuang-Nan Zhou
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Xiao-Ning Zhang
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Chun-Bao Zhou
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Fu-Sheng Wang
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China,Medical School of Chinese PLA, Beijing, China,*Correspondence: Junliang Fu, ; Fu-Sheng Wang,
| | - Junliang Fu
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Peking University 302 Clinical Medical School, National Clinical Research Center for Infectious Diseases, Beijing, China,Medical School of Chinese PLA, Beijing, China,*Correspondence: Junliang Fu, ; Fu-Sheng Wang,
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12
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Yang X, Zhang K, Xu Q, Shu X, Mo Z, Xie D, Gao Z, Deng H. Interferon add-on therapy increased clinical cure significantly for interferon-experienced chronic hepatitis B patients with low HBsAg. Front Immunol 2022; 13:997608. [PMID: 36148219 PMCID: PMC9485616 DOI: 10.3389/fimmu.2022.997608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/15/2022] [Indexed: 11/15/2022] Open
Abstract
Currently, interferon add-on therapy brings hope for clinical cure of chronic hepatitis B patients with low HBsAg. However, in clinical practice patients with poor responses to their first interferon therapy were often switched to nucleos(t)ide analog therapy and then labeled as unsuitable patients for interferon therapy. Even if their HBsAg levels dropped to a low level, they were reluctant or not recommended to take interferon again, which caused them to miss out on interferon add-on therapy and clinical cure. Therefore, it is urgent to elucidate the effectiveness of interferon add-on therapy to get clinical cure for these interferon-experienced patients with low HBsAg. The purpose of this study was to investigate whether interferon-experienced patients could achieve the same HBsAg clearance and HBsAg seroconversion rates as interferon-naive patients. Also, the associated factor of HBsAg clearance and seroconversion were aimed to be clarified. 292 patients, including 85 interferon-experienced patients, were enrolled with HBsAg< 1500 IU/ml, HBeAg negative and HBV-DNA negative. And then, peg-interferon α-2b add-on therapy was performed. The results showed that the week 48 HBsAg clearance and seroconversion rates of all patients were 29.8% and 22.0%. There was no statistically significant difference between interferon-experienced and interferon-naive patients in week 48 HBsAg clearance and seroconversion rates, suggesting satisfactory clinical cure of the interferon add-on therapy for interferon-experienced patients. The age, baseline HBsAg, and week 12 HBsAg were negative correlated factors for week 48 HBsAg clearance and seroconversion. Furthermore, the age, baseline HBsAg and week 12 HBsAg for predicting the week 48 HBsAg clearance were cut off at 40.5 years, at 152.0 IU/ml and at 34.99 IU/ml, and for predicting seroconversion were cut off at 40.5 years, at 181.9 IU/ml and at 34.99 IU/ml, correspondingly. Significantly, interferon-experienced patients with low HBsAg were suggested with interferon add-on therapy to achieve clinical cure as soon as possible. This research provided evidences and cut-offs for the interferon add-on therapy against chronic hepatitis B.
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Affiliation(s)
- Xiaoan Yang
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, 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
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qihuan Xu
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xin Shu
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhishuo Mo
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Dongying Xie
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhiliang Gao
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- *Correspondence: Zhiliang Gao, ; Hong Deng,
| | - Hong Deng
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- *Correspondence: Zhiliang Gao, ; Hong Deng,
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