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Profiling of Peripheral TRBV and CD4+CD25+ Treg in CHB Patients with HBeAg SC during TDF Treatment. J Immunol Res 2023; 2023:1914036. [PMID: 36660247 PMCID: PMC9845053 DOI: 10.1155/2023/1914036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/12/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023] Open
Abstract
Background It is lacking that markers could predict the prognosis of chronic hepatitis B (CHB) subjects during antiviral treatment, and the related cellular immune mechanism is not fully evaluated. Aim To explore the comprehensive profile of T cell receptor β-chain (TRBV) and CD4+CD25+ regulatory T cell (Treg) in peripheral blood of CHB patients with HBeAg seroconverting (SC) during tenofovir disoproxil fumarate (TDF) treatment. Methods The frequency of CD4+CD25high+ Treg and number of skewed TRBV in 20 HBeAg positive patients were determined at baseline and following every 12 weeks during 96-week TDF treatment. The relationship among serum alanine aminotransferase (ALT) level, HBV DNA load, Treg frequency, and the number of skewed TRBV, respectively, was analyzed for CHB patients. Receiver operative characteristic curve was applied to analyze their diagnostic value for HBeAg SC. Results The number of skewed TRBV at week 48, Treg frequency at week 72, and ALT level at baseline could predict the HBeAg SC or non-SC in CHB patients during 96-week TDF treatment. Moreover, the positive correlation between ALT or HBV DNA and Treg levels or skewed TRBVs was significant in the SC group, but not in non-SC. Conclusions The predictive cutoff value of ALT for HBeAg SC was 178 U/L at baseline. Moreover, the ALT, Treg, and TRBV families would be associated with the prognosis and pathogenesis of CHB patients during TDF treatment.
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Zhan Q, Xu JH, Yu YY, Lo KK E, El-Nezami H, Zeng Z. Human immune repertoire in hepatitis B virus infection. World J Gastroenterol 2021; 27:3790-3801. [PMID: 34321844 PMCID: PMC8291018 DOI: 10.3748/wjg.v27.i25.3790] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/08/2021] [Accepted: 05/27/2021] [Indexed: 02/06/2023] Open
Abstract
Hepatitis B virus (HBV) infection is a public health threat that affects 257 million people worldwide and can progress to liver cirrhosis, liver failure, and hepatocellular carcinoma. The HBV antigen- induced adaptive immune response plays an important role in HBV clearance. Immune repertoire sequencing (IRS) has been used to investigate the molecular mechanisms behind the immune system, find novel ways to treat HBV infection, and evaluate the genetic responses and immune characteristics of individuals infected by HBV or immunized by HBV vaccine. This review summarizes the human immune repertoire analysis methodology, and the application of the IRS in the prediction of HBV infection progression, treatment, and vaccination.
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Affiliation(s)
- Qiao Zhan
- Department of Infectious Diseases, Peking University First Hospital, Beijing 100034, China
| | - Jing-Hang Xu
- Department of Infectious Diseases, Peking University First Hospital, Beijing 100034, China
| | - Yan-Yan Yu
- Department of Infectious Diseases, Peking University First Hospital, Beijing 100034, China
| | - Emily Lo KK
- School of Biological Sciences, University of Hong Kong, Hong Kong, China
| | - Felicianna
- School of Biological Sciences, University of Hong Kong, Hong Kong, China
| | - Hani El-Nezami
- School of Biological Sciences, University of Hong Kong, Hong Kong, China
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio FI-70211, Finland
| | - Zheng Zeng
- Department of Infectious Diseases, Peking University First Hospital, Beijing 100034, China
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Wang X, Wang Z, Chi X, Wu R, Jin Q, Xu H, Gao X, Yu L, Chen Y, Shang J, Liu L, Zhang S, Jiang Y, Zhang M, Tong Q, Zhang L, Tan Y, Ma A, Dang S, Xu B, Jin Z, Li J, Li X, Lu F, Niu J. Efficacy of a combination of HBV RNA and HBeAg in predicting HBeAg seroconversion in patients treated with entecavir for 144 weeks. Int J Infect Dis 2020; 99:171-178. [PMID: 32721532 DOI: 10.1016/j.ijid.2020.07.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/08/2020] [Accepted: 07/18/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND In some previous studies, serum hepatitis B virus RNA (HBV RNA) was proposed as an HBV viral marker during therapy. However, the dynamic change of HBV RNA, the correlation of HBV RNA with cccDNA, and the combination of HBV RNA with known HBV markers in predicting entecavir (ETV) treatment outcome in the same cohort are rarely reported. METHODS A total of 111 HBeAg-positive patients were enrolled in our study. The dynamic changes of serum HBV RNA and the correlation of HBV RNA with other HBV markers were investigated in the early treatment period of 144-week ETV treatment. Intrahepatic cccDNA was detected at baseline and week 48. Receiver operating characteristic analyses were used to identify HBV RNA levels associated with HBeAg seroconversion. RESULTS The serum HBV RNA levels decreased more rapidly in patients with HBeAg seroconversion than those without HBeAg seroconversion. The levels of HBV RNA decreased slower compared with the serum HBV DNA, irrespective of whether the patients achieved HBeAg seroconversion or not. Although the serum HBV RNA was positively correlated with cccDNA at baseline among all patients, no significant correlation was observed in the patients with HBeAg seroconversion at week 48 (r=0.094, P=0.588). The area under the receiver operating characteristic (AUROC) of HBV RNA and HBeAg at week 24 was 0.754 and 0.800, respectively. The AUROC of the HBV RNA and HBeAg combination had a higher value (AUROC=0.821). CONCLUSIONS The level of HBV RNA at week 24 was a powerful predictor of HBeAg seroconversion in HBeAg-positive patients after 144-week ETV treatment, while the combination of HBV RNA and HBeAg was superior to HBV RNA alone in predicting HBeAg seroconversion.
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Affiliation(s)
- Xiaomei Wang
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Zhongfeng Wang
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Xiumei Chi
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Ruihong Wu
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Qinglong Jin
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Hongqin Xu
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Xiuzhu Gao
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China
| | - Lei Yu
- Department of Hepatology, Fourth Hospital of Harbin Medical University, Harbin, China
| | - Yuping Chen
- Department of Hepatology, Baoding Infectious Disease Hospital, Baoding, China
| | - Jia Shang
- Department of Hepatology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Longgen Liu
- Department of Hepatology, Changzhou Third People's Hospital, Changzhou, China
| | - Shuqin Zhang
- Department of Hepatology, Hepatology Hospital of Jilin Province, Changchun, China
| | - Yongfang Jiang
- Department of Hepatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Mingxiang Zhang
- Department of Infectious Disease, Shenyang Sixth People's Hospital, Shenyang, China
| | - Qiaoxia Tong
- Department of Infectious Disease, Union Hospital Affiliated with Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Lunli Zhang
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Youwen Tan
- Department of Hepatology, The Third People's Hospital of Zhenjiang, Zhenjiang, China
| | - Anlin Ma
- Department of Infectious Disease, China-Japan Friendship Hospital, Beijing, China
| | - Shuangsuo Dang
- Department of Infectious Disease, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Bin Xu
- Department of Hepatology, Beijing You'an Hoapital, Capital Medical University, Beijing, China
| | - Zhenjing Jin
- Department of Hepatology, the Second Hospital of Jilin University, Changchun, China
| | - Jia Li
- Department of Hepatology, the Second Hospital of Tianjin, Tianjing, China
| | - Xiaobo Li
- Department of Hepatology, Peking University People's Hospital, Beijing, China
| | - Fengmin Lu
- Department of Microbiology, Peking University Health Science Center, Beijing, China.
| | - Junqi Niu
- Department of Hepatology, the First Hospital of Jilin University, Changchun, China.
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