Journal article
Analysis of entire hepatitis B virus genomes reveals reversion of mutations to wild type in natural infection, a 15 year follow-up study
Infection, genetics and evolution, Vol.97, 105184
01/01/2022
DOI: 10.1016/j.meegid.2021.105184
PMID: 34902556
Abstract
It has been reported that some mutations in the genome of hepatitis B virus (HBV) may predict the outcome of the virus infection. However, evolutionary data derived from long-term longitudinal analysis of entire HBV genomes using next generation sequencing (NGS) remain rare. In this study, serum samples were collected from asymptomatic hepatitis B surface antigen (HBsAg) carriers from a long-term prospective cohort. The entire HBV genome was amplified by polymerase chain reaction (PCR) and sequenced using NGS. Twenty-eight time series serum samples from nine subjects were successfully analysed. The Shannon entropy (Sn) ranged from 0 to 0.89, with a median value of 0.76, and the genetic diversity (D) ranged from 0 to 0.013, with a median value of 0.004. Intrahost HBV viral evolutionary rates ranged from 2.39E-04 to 3.11E-03. Double mutations at nt1762(A-* T) and 1764(G-* A) and a stop mutation at nt1896(G-* A) were seen in all sequences from subject BO129 in 2007. However, in 2019, most sequences were wild type at these positions. Deletions between nt 2920-3040 were seen in all sequences from subject TS115 in 2007 and 2013 but these were not present in 2004 or 2019. Some sequences from subject CC246 had predicted escape substitutions (T123N, G145R) in the surface protein in 2004, 2013 and 2019 but none of the sequences from 2007 had these changes. In conclusion, HBV mutations may revert to wild type in natural infection. Clinicians should be wary of predicting long-term prognoses on the basis of the presence of mutations.
Details
- Title: Subtitle
- Analysis of entire hepatitis B virus genomes reveals reversion of mutations to wild type in natural infection, a 15 year follow-up study
- Creators
- Qin-Yan Chen - Guangxi Center for Disease Prevention and ControlHui-Hua Jia - Guangxi Center for Disease Prevention and ControlXue-Yan Wang - Guangxi Center for Disease Prevention and ControlYun-Liang Shi - Guangxi Center for Disease Prevention and ControlLu-Juan Zhang - Guangxi Center for Disease Prevention and ControlLi-Ping Hu - Guangxi Center for Disease Prevention and ControlChao Wang - Guangxi Zhuang Autonomous Reg Ctr Dis Prevent & C, Guangxi Key Lab Prevent & Control Viral Hepatitis, Nanning 530028, Guangxi, Peoples R ChinaXiang He - Guangdong Provincial Center for Disease Control and PreventionTim J. Harrison - University College LondonJ. Brooks Jackson - Roy J. and Lucille A. Carver College of MedicineLi Wu - Roy J. and Lucille A. Carver College of MedicineZhong-Liao Fang - Guangxi Center for Disease Prevention and Control
- Resource Type
- Journal article
- Publication Details
- Infection, genetics and evolution, Vol.97, 105184
- DOI
- 10.1016/j.meegid.2021.105184
- PMID
- 34902556
- NLM abbreviation
- Infect Genet Evol
- ISSN
- 1567-1348
- eISSN
- 1567-7257
- Publisher
- Elsevier
- Number of pages
- 12
- Grant note
- 2018AB59002 / Guangxi Key Research and Development Project 2017GXNSFBA198086 / Guangxi Natural Science Foundation; National Natural Science Foundation of Guangxi Province Global Health Research Seed Grant from the Carver College of Medicine at the University of Iowa 81860595; 81703283 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Language
- English
- Date published
- 01/01/2022
- Academic Unit
- Microbiology and Immunology; Pathology; VPMA - Administration
- Record Identifier
- 9984297540302771
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