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Cao X, Hu Q, Xu W, Li Q, Zhang J, Chen L, Huang Y, Qi X. Kinetics changes in total cholesterol predict HBeAg seroconversion in chronic hepatitis B patients treated with pegylated interferon-alfa. J Viral Hepat 2023; 30:310-318. [PMID: 36529685 DOI: 10.1111/jvh.13787] [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: 10/20/2022] [Revised: 11/24/2022] [Accepted: 12/10/2022] [Indexed: 01/07/2023]
Abstract
There is no satisfactory standard for predicting HBeAg seroconversion during Pegylated interferon alpha (PegIFNα) treatment. Studies have shown that IFNα therapy in chronic hepatitis C patients could alter serum lipid profiles. However, there have been no studies on lipid changes that predict the outcome of PegIFNα monotherapy in treated-naive chronic hepatitis B (CHB) patients. This retrospective study included 130 treated-naive HBeAg-positive CHB patients receiving PegIFNα monotherapy. The relationship between serum lipid changes and HBeAg seroconversion was analysed. The TC-ALT-HBsAg-HBeAg-Genotype-Age (CASEGA) model was established to predict HBeAg seroconversion after PegIFN-α monotherapy. Among 130 patients, 33 achieved HBeAg seroconversion (SR) and 97 did not achieve HBeAg seroconversion (NR). The decrease in serum total cholesterol (TC) in the NR group was significantly higher than in the SR group at Week 24 (-9.59% vs. -0.31%, p < 0.001). Multivariate logistic regression analysis showed that the change in TC at Week 24 (odds ratio = 1.065, p = 0.009) was an independent predictor of HBeAg seroconversion. The area under the receiver operating characteristic curve for the CASEGA model was 0.883. The model score at the maximum Youden index was 90, and the specificity, sensitivity, positive predictive value and negative predictive value were 0.727, 0.794, 0.546 and 0.895, respectively. The HBeAg seroconversion rate at Week 72 in patients with scores >90 was significantly higher than that in patients with scores <90 (54.55% vs. 10.47%, p < 0.001). This study indicated that the change in the TC level at 24 weeks in CHB patients treated with PegIFNα was associated with HBeAg seroconversion. The CASEGA prediction model based on the TC change rate of 24 weeks has good predictive efficiency for HBeAg seroconversion.
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Affiliation(s)
- Xiongyue Cao
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Qiankun Hu
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Wei Xu
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Qiang Li
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jiming Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Liang Chen
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yuxian Huang
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Xun Qi
- Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Brakenhoff SM, de Knegt RJ, Oliveira J, van der Eijk AA, van Vuuren AJ, Hansen BE, Janssen HLA, de Man RA, Boonstra A, Sonneveld MJ. Levels of Antibodies to Hepatitis B Core Antigen Are Associated With Liver Inflammation and Response to Peginterferon in Patients With Chronic Hepatitis B. J Infect Dis 2022; 227:113-122. [PMID: 35599306 PMCID: PMC9796168 DOI: 10.1093/infdis/jiac210] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 03/11/2022] [Accepted: 05/19/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Emerging evidence suggests a pivotal role for B-cell responses in the natural history of chronic hepatitis B. Serum levels of antibodies to hepatitis B core antigen (anti-HBc) vary across infection stages, but their role in predicting response to antiviral therapy is uncertain. METHODS Anti-HBc levels were assessed before peginterferon (PEG-IFN) therapy in patients with chronic hepatitis B who either started de novo PEG-IFN (n = 299; 195 hepatitis B e antigen [HBeAg] positive) or started PEG-IFN as add-on to an existing nucleo(s)tide analogue backbone (n = 91; all HBeAg-positive). Associations were explored between anti-HBc and (1) serum biomarkers, (2) liver histological findings, and (3) treatment response. RESULTS We studied 390 patients. The hepatitis B virus (HBV) genotype were A, B, C, and D in 24%, 9%, 16%, and 49%, respectively; 72% of patients were Caucasian. Among currently untreated HBeAg-positive patients, anti-HBc was correlated with HBV DNA, hepatitis B core-related antigen (HBcrAg), hepatitis B surface antigen (HBsAg), and HBV RNA, but not with alanine aminotransferase (ALT). Higher anti-HBc was associated with more severe histological inflammatory activity (P < .001), irrespective of HBeAg status. After de novo PEG-IFN, higher anti-HBc levels were associated with HBeAg loss, sustained response, HBsAg decline, and HBsAg clearance (P < .050). Among patients treated with add-on PEG-IFN, higher anti-HBc was associated with HBeAg loss (P = .01). CONCLUSIONS Serum anti-HBc levels correlate with histological inflammatory activity. Higher anti-HBc levels were associated with favorable treatment outcomes. These findings suggest that anti-HBc could be used to select patients most likely to respond to immunomodulatory therapy. CLINICAL TRIALS REGISTRATION NCT00114361, NCT00146705, NCT00877760, and NCT01532843.
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Affiliation(s)
- Sylvia M Brakenhoff
- Correspondence: Sylvia M. Brakenhoff, Erasmus MC, Department of Gastroenterology and Hepatology, internal postal address Na-606, Dr.Molewaterplein 40, 3015 GD Rotterdam, the Netherlands ()
| | - Robert J de Knegt
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Jeffrey Oliveira
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Annemiek A van der Eijk
- Department of Viroscience, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Anneke J van Vuuren
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Bettina E Hansen
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Harry L A Janssen
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Robert A de Man
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - André Boonstra
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
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Fang YQ, Xu XY, Hou FQ, Jia W. A baseline model including quantitative anti-HBc to predict response of peginterferon in HBeAg-positive chronic hepatitis B patients. Antivir Ther 2021; 26:126-133. [PMID: 35485336 DOI: 10.1177/13596535211059895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Few models to predict antiviral response of peginterferon were used in hepatitis B e antigen (HBeAg)-positive chronic hepatitis B patients and the prediction efficacy was unsatisfied. Quantitative antibody to hepatitis B core antigen (anti-HBc) is a new predictor of treatment response. We aimed to develop a new model to identify HBeAg-positive Chinese patients who were more likely to respond to peginterferon. Methods Data from 140 peginterferon recipients with HBeAg-positive were applied with generalized additive models and multiple logistic regression analysis to develop a baseline scoring system to predict serological response (SR: HBeAg loss and HBeAg seroconversion 24 weeks post-treatment) and combined response (CR: SR plus serum HBV DNA levels <2000 IU/mL 24 weeks post-treatment). Results Anti-HBc levels, alanine aminotransferase ratio, and HBeAg were retained in the final model. The new model scored from 0 to 3. Among patients with scores of 0, 1, or ≥2, SR was achieved in 6.45% (2/31), 13.21% (7/51), and 55.36% (31/56), respectively, and CR in 3.23% (1/31), 9.43% (5/53), and 25.00% (14/56), respectively. Our model has a higher AUROC for SR comparing to Chan’s (Z = 2.77 > 1.96, p < 0.05) and Lampertico’s (Z = 2.06 > 1.96, p < 0.05) model. The negative predictive value for SR and CR were both 100% in patients with score 0 and hepatitis B surface antigen ≥20,000 IU/mL at week 12. Conclusions Patients with higher scores at baseline were more likely to respond to peginterferon. This new model may predict the treatment response.
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Affiliation(s)
- Yu-Qing Fang
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China
| | - Xiao-Yan Xu
- Department of Gastroenterology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Feng-Qin Hou
- Department of Infectious Diseases, Center for Liver Diseases, Peking University First Hospital, Beijing, China
| | - Wei Jia
- Department of Gastroenterology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China
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Charatcharoenwitthaya P, Kaewdech A, Piratvisuth T. Controversies in Treating Chronic HBV: The Role of PEG-interferon-alfa. Clin Liver Dis 2021; 25:741-762. [PMID: 34593151 DOI: 10.1016/j.cld.2021.06.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Pegylated interferon-alpha therapy is one of the first-line chronic hepatitis B treatment. Finite treatment duration, absence of drug resistance, delayed response, and higher hepatitis B surface antigen loss than nucleos(t)ides analog therapy are the advantages of pegylated interferon-alpha treatment. Common side effects and subcutaneous injections requirement limit its use. Identifying patients likely to respond to pegylated interferon-alpha and optimizing treatment is reasonable. Motivating patients to complete the 48-week treatment is necessary. Treatment is stopped or switched to other treatment strategies in patients with stopping rule criteria. Combination therapy with nucleos(t)ides analog may improve response, but remains controversial.
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Affiliation(s)
- Phunchai Charatcharoenwitthaya
- Gastroenterology Division, Department of Internal Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Wang-Lang Road, Bangkok 10700, Thailand
| | - Apichat Kaewdech
- Gastroenterology and Hepatology Unit, Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Kanchanawanich Road, Songkhla 90110, Thailand
| | - Teerha Piratvisuth
- Gastroenterology and Hepatology Unit, Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Kanchanawanich Road, Songkhla 90110, Thailand; NKC Institute of Gastroenterology and Hepatology, Songklanagarind Hospital, Prince of Songkla University, Kanchanawanich Road, Songkhla 90110, Thailand.
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Ren P, Li H, Huang Y, Jiang J, Guo S, Cao Z, Zhang C, Zhou T, Gan Q, Zhao S, Chen L, Guo Q, Cai W, Wang H, Hu P, Xie Q. A simple-to-use tool for predicting response to peginterferon in HBV DNA suppressed chronic hepatitis B patients in China. Antiviral Res 2021; 194:105163. [PMID: 34389410 DOI: 10.1016/j.antiviral.2021.105163] [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: 03/12/2021] [Revised: 06/07/2021] [Accepted: 08/09/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Rational administration of peginterferon can remarkably reduce serum HBsAg level and improve the rate of HBsAg loss. Considering the high cost and adverse drug reaction of peginterferon, we aimed to develop a simple-to-use scoring system at early stage of treatment to predict low HBsAg level or HBsAg clearance at the end of treatment in virological suppression chronic hepatitis B (CHB) patients. METHODS Non-cirrhotic CHB patients with NA (nucleoside/nucleotide analogues)-induced virological suppression initiated either by add-on or switch-to peginterferon for ≥ 48 weeks were enrolled from January 2012 to June 2017 in these two tertiary centers. The retrospective experiment identified 320 suitable patients, including 192 in training and 128 in validation cohorts. RESULTS Using logistic regression, a simple-to-use scoring system integrating baseline HBsAg level <1000 IU/mL, HBsAg decline >0.5 log at week 12 and ALT flare at week 12 was developed in the training cohort and good for predicting HBsAg <100 IU/mL, HBsAg <10 IU/mL and HBsAg loss at the end of 48-week treatment. The area under receiver operating characteristics curve was 0.84, 0.86 or 0.78 in the training cohort and 0.88, 0.79 or 0.81 in the validation cohort, respectively. CONCLUSIONS Our simple-to-use scoring system may guide for clinicians to decide whether to continue peginterferon in CHB patients to achieve low HBsAg levels or HBsAg clearance at the end of treatment, which might lead more cost-effective decision and get more patients to reach functional cures in Chinese population.
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Affiliation(s)
- Peipei Ren
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Hu Li
- Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Yan Huang
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jiayuan Jiang
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Simin Guo
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhujun Cao
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Chenxi Zhang
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Tianhui Zhou
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qinyi Gan
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Shuang Zhao
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lichang Chen
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qing Guo
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wei Cai
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Hui Wang
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Peng Hu
- Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
| | - Qing Xie
- Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Yeh ML, Huang JF, Yu ML, Chuang WL. Hepatitis b infection: progress in identifying patients most likely to respond to peginterferon alfa. Expert Rev Gastroenterol Hepatol 2021; 15:427-435. [PMID: 33338385 DOI: 10.1080/17474124.2021.1866985] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Despite the disadvantage of side effects, pegylated interferon alpha (Peg-IFN α) remains an indispensable agent for chronic hepatitis B (CHB) due to its immunomodulatory effect. The selection of a patient most likely to have a favorable response becomes an essential issue for Peg-IFN α therapy.Areas covered: Recent progress in the prediction of the treatment response to Peg-IFN α.Expert opinion: Before Peg-IFN α therapy, baseline host and viral factors, including female sex, younger age, a high alanine aminotransferase level, HBV genotype A or B, and low viral load, predict a favorable response. In addition, on-treatment viral kinetics of hepatitis B surface antigen (HBsAg), e antigen (HBeAg) and HBV DNA help clinicians determine whether to continue or discontinue Peg-IFN α therapy. The novel HBV markers hepatitis B core-related antigen and HBV RNA have recently been investigated as useful predictors. The limited efficacy of Peg-IFN α monotherapy facilitated the development of new strategies of 'add-on' or 'switch to' Peg-IFN α in patients receiving long-term nucleot(s)ide analog treatment, which may lead to an increase in HBeAg and HBsAg loss. In summary, tailored Peg-IFN α therapeutic strategies based on predictors extended the landscape for CHB treatment.
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Affiliation(s)
- Ming-Lun Yeh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Medicine, Lipid Science and Aging Research Center, and Hepatitis Research Center, College of Medicine, and Center for Cancer Research and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jee-Fu Huang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Medicine, Lipid Science and Aging Research Center, and Hepatitis Research Center, College of Medicine, and Center for Cancer Research and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Medicine, Lipid Science and Aging Research Center, and Hepatitis Research Center, College of Medicine, and Center for Cancer Research and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wan-Long Chuang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Medicine, Lipid Science and Aging Research Center, and Hepatitis Research Center, College of Medicine, and Center for Cancer Research and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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