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Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa
Hepatitis B virus (HBV) viral load (VL) is used as a biomarker to assess risk of disease progression, and to determine eligibility for treatment. While there is a well recognised association between VL and the expression of the viral e-antigen protein, the distributions of VL at a population level a...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682492/ https://www.ncbi.nlm.nih.gov/pubmed/33274299 http://dx.doi.org/10.12688/wellcomeopenres.15941.2 |
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author | Downs, Louise O. Vawda, Sabeehah Bester, Phillip Armand Lythgoe, Katrina A. Wang, Tingyan McNaughton, Anna L. Smith, David A. Maponga, Tongai Freeman, Oliver Várnai, Kinga A. Davies, Jim Woods, Kerrie Fraser, Christophe Barnes, Eleanor Goedhals, Dominique Matthews, Philippa C. |
author_facet | Downs, Louise O. Vawda, Sabeehah Bester, Phillip Armand Lythgoe, Katrina A. Wang, Tingyan McNaughton, Anna L. Smith, David A. Maponga, Tongai Freeman, Oliver Várnai, Kinga A. Davies, Jim Woods, Kerrie Fraser, Christophe Barnes, Eleanor Goedhals, Dominique Matthews, Philippa C. |
author_sort | Downs, Louise O. |
collection | PubMed |
description | Hepatitis B virus (HBV) viral load (VL) is used as a biomarker to assess risk of disease progression, and to determine eligibility for treatment. While there is a well recognised association between VL and the expression of the viral e-antigen protein, the distributions of VL at a population level are not well described. We here present cross-sectional, observational HBV VL data from two large population cohorts in the UK and in South Africa, demonstrating a consistent bimodal distribution. The right skewed distribution and low median viral loads are different from the left-skew and higher viraemia in seen in HIV and hepatitis C virus (HCV) cohorts in the same settings. Using longitudinal data, we present evidence for a stable ‘set-point’ VL in peripheral blood during chronic HBV infection. These results are important to underpin improved understanding of HBV biology, to inform approaches to viral sequencing, and to plan public health interventions. |
format | Online Article Text |
id | pubmed-7682492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-76824922020-12-02 Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa Downs, Louise O. Vawda, Sabeehah Bester, Phillip Armand Lythgoe, Katrina A. Wang, Tingyan McNaughton, Anna L. Smith, David A. Maponga, Tongai Freeman, Oliver Várnai, Kinga A. Davies, Jim Woods, Kerrie Fraser, Christophe Barnes, Eleanor Goedhals, Dominique Matthews, Philippa C. Wellcome Open Res Research Note Hepatitis B virus (HBV) viral load (VL) is used as a biomarker to assess risk of disease progression, and to determine eligibility for treatment. While there is a well recognised association between VL and the expression of the viral e-antigen protein, the distributions of VL at a population level are not well described. We here present cross-sectional, observational HBV VL data from two large population cohorts in the UK and in South Africa, demonstrating a consistent bimodal distribution. The right skewed distribution and low median viral loads are different from the left-skew and higher viraemia in seen in HIV and hepatitis C virus (HCV) cohorts in the same settings. Using longitudinal data, we present evidence for a stable ‘set-point’ VL in peripheral blood during chronic HBV infection. These results are important to underpin improved understanding of HBV biology, to inform approaches to viral sequencing, and to plan public health interventions. F1000 Research Limited 2020-10-14 /pmc/articles/PMC7682492/ /pubmed/33274299 http://dx.doi.org/10.12688/wellcomeopenres.15941.2 Text en Copyright: © 2020 Downs LO et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Note Downs, Louise O. Vawda, Sabeehah Bester, Phillip Armand Lythgoe, Katrina A. Wang, Tingyan McNaughton, Anna L. Smith, David A. Maponga, Tongai Freeman, Oliver Várnai, Kinga A. Davies, Jim Woods, Kerrie Fraser, Christophe Barnes, Eleanor Goedhals, Dominique Matthews, Philippa C. Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa |
title | Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa |
title_full | Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa |
title_fullStr | Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa |
title_full_unstemmed | Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa |
title_short | Bimodal distribution and set point HBV DNA viral loads in chronic infection: retrospective analysis of cohorts from the UK and South Africa |
title_sort | bimodal distribution and set point hbv dna viral loads in chronic infection: retrospective analysis of cohorts from the uk and south africa |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682492/ https://www.ncbi.nlm.nih.gov/pubmed/33274299 http://dx.doi.org/10.12688/wellcomeopenres.15941.2 |
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