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Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India
An HIV outbreak investigation during 2017–2018 in Unnao District, Uttar Pradesh, India, unearthed high prevalence of hepatitis C virus (HCV) antibodies among the study participants. We investigated these HCV infections by analyzing NS5B and core regions. We observed no correlation between HIV–HCV vi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962895/ https://www.ncbi.nlm.nih.gov/pubmed/35318918 http://dx.doi.org/10.3201/eid2804.211845 |
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author | Mane, Arati Kasibhatla, Sunitha Manjari Vidhate, Pallavi Saxena, Vandana Patil, Sandip Rao, Amrita Nirmalkar, Amit Kulkarni-Kale, Urmila Panda, Samiran |
author_facet | Mane, Arati Kasibhatla, Sunitha Manjari Vidhate, Pallavi Saxena, Vandana Patil, Sandip Rao, Amrita Nirmalkar, Amit Kulkarni-Kale, Urmila Panda, Samiran |
author_sort | Mane, Arati |
collection | PubMed |
description | An HIV outbreak investigation during 2017–2018 in Unnao District, Uttar Pradesh, India, unearthed high prevalence of hepatitis C virus (HCV) antibodies among the study participants. We investigated these HCV infections by analyzing NS5B and core regions. We observed no correlation between HIV–HCV viral loads and clustering of HCV sequences, regardless of HIV serostatus. All HCV isolates belonged to genotype 3a. Monophyletic clustering of isolates in NS5B phylogeny indicates emergence of the outbreak from a single isolate or its closely related descendants. The nucleotide substitution rate for NS5B was 6 × 10(−3) and for core was 2 × 10(−3) substitutions/site/year. Estimated time to most recent common ancestor of these isolates was 2012, aligning with the timeline of this outbreak, which might be attributable to unsafe injection practices while seeking healthcare. HIV–HCV co-infection underlines the need for integrated testing, surveillance, strengthening of healthcare systems, community empowerment, and molecular analyses as pragmatic public health tools. |
format | Online Article Text |
id | pubmed-8962895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-89628952022-04-02 Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India Mane, Arati Kasibhatla, Sunitha Manjari Vidhate, Pallavi Saxena, Vandana Patil, Sandip Rao, Amrita Nirmalkar, Amit Kulkarni-Kale, Urmila Panda, Samiran Emerg Infect Dis Synopsis An HIV outbreak investigation during 2017–2018 in Unnao District, Uttar Pradesh, India, unearthed high prevalence of hepatitis C virus (HCV) antibodies among the study participants. We investigated these HCV infections by analyzing NS5B and core regions. We observed no correlation between HIV–HCV viral loads and clustering of HCV sequences, regardless of HIV serostatus. All HCV isolates belonged to genotype 3a. Monophyletic clustering of isolates in NS5B phylogeny indicates emergence of the outbreak from a single isolate or its closely related descendants. The nucleotide substitution rate for NS5B was 6 × 10(−3) and for core was 2 × 10(−3) substitutions/site/year. Estimated time to most recent common ancestor of these isolates was 2012, aligning with the timeline of this outbreak, which might be attributable to unsafe injection practices while seeking healthcare. HIV–HCV co-infection underlines the need for integrated testing, surveillance, strengthening of healthcare systems, community empowerment, and molecular analyses as pragmatic public health tools. Centers for Disease Control and Prevention 2022-04 /pmc/articles/PMC8962895/ /pubmed/35318918 http://dx.doi.org/10.3201/eid2804.211845 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Synopsis Mane, Arati Kasibhatla, Sunitha Manjari Vidhate, Pallavi Saxena, Vandana Patil, Sandip Rao, Amrita Nirmalkar, Amit Kulkarni-Kale, Urmila Panda, Samiran Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India |
title | Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India |
title_full | Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India |
title_fullStr | Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India |
title_full_unstemmed | Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India |
title_short | Phylogenetic Analysis of Spread of Hepatitis C Virus Identified during HIV Outbreak Investigation, Unnao, India |
title_sort | phylogenetic analysis of spread of hepatitis c virus identified during hiv outbreak investigation, unnao, india |
topic | Synopsis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962895/ https://www.ncbi.nlm.nih.gov/pubmed/35318918 http://dx.doi.org/10.3201/eid2804.211845 |
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