Hepatitis C Virus in people with experience of injection drug use following their displacement to Southern Ukraine before 2020.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
03 Jul 2023
Historique:
received: 11 01 2023
accepted: 24 06 2023
medline: 5 7 2023
pubmed: 4 7 2023
entrez: 3 7 2023
Statut: epublish

Résumé

Due to practical challenges associated with genetic sequencing in low-resource environments, the burden of hepatitis C virus (HCV) in forcibly displaced people is understudied. We examined the use of field applicable HCV sequencing methods and phylogenetic analysis to determine HCV transmission dynamics in internally displaced people who inject drugs (IDPWID) in Ukraine. In this cross-sectional study, we used modified respondent-driven sampling to recruit IDPWID who were displaced to Odesa, Ukraine, before 2020. We generated partial and near full length genome (NFLG) HCV sequences using Oxford Nanopore Technology (ONT) MinION in a simulated field environment. Maximum likelihood and Bayesian methods were used to establish phylodynamic relationships. Between June and September 2020, we collected epidemiological data and whole blood samples from 164 IDPWID (PNAS Nexus.2023;2(3):pgad008). Rapid testing (Wondfo® One Step HCV; Wondfo® One Step HIV1/2) identified an anti-HCV seroprevalence of 67.7%, and 31.1% of participants tested positive for both anti-HCV and HIV. We generated 57 partial or NFLG HCV sequences and identified eight transmission clusters, of which at least two originated within a year and a half post-displacement. Locally generated genomic data and phylogenetic analysis in rapidly changing low-resource environments, such as those faced by forcibly displaced people, can help inform effective public health strategies. For example, evidence of HCV transmission clusters originating soon after displacement highlights the importance of implementing urgent preventive interventions in ongoing situations of forced displacement.

Sections du résumé

BACKGROUND BACKGROUND
Due to practical challenges associated with genetic sequencing in low-resource environments, the burden of hepatitis C virus (HCV) in forcibly displaced people is understudied. We examined the use of field applicable HCV sequencing methods and phylogenetic analysis to determine HCV transmission dynamics in internally displaced people who inject drugs (IDPWID) in Ukraine.
METHODS METHODS
In this cross-sectional study, we used modified respondent-driven sampling to recruit IDPWID who were displaced to Odesa, Ukraine, before 2020. We generated partial and near full length genome (NFLG) HCV sequences using Oxford Nanopore Technology (ONT) MinION in a simulated field environment. Maximum likelihood and Bayesian methods were used to establish phylodynamic relationships.
RESULTS RESULTS
Between June and September 2020, we collected epidemiological data and whole blood samples from 164 IDPWID (PNAS Nexus.2023;2(3):pgad008). Rapid testing (Wondfo® One Step HCV; Wondfo® One Step HIV1/2) identified an anti-HCV seroprevalence of 67.7%, and 31.1% of participants tested positive for both anti-HCV and HIV. We generated 57 partial or NFLG HCV sequences and identified eight transmission clusters, of which at least two originated within a year and a half post-displacement.
CONCLUSIONS CONCLUSIONS
Locally generated genomic data and phylogenetic analysis in rapidly changing low-resource environments, such as those faced by forcibly displaced people, can help inform effective public health strategies. For example, evidence of HCV transmission clusters originating soon after displacement highlights the importance of implementing urgent preventive interventions in ongoing situations of forced displacement.

Identifiants

pubmed: 37400776
doi: 10.1186/s12879-023-08423-5
pii: 10.1186/s12879-023-08423-5
pmc: PMC10316605
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

446

Informations de copyright

© 2023. The Author(s).

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Auteurs

Anna Yakovleva (A)

Medical Sciences Division, University of Oxford, Oxford, UK.

Ganna Kovalenko (G)

Department of Pathology, Division of Virology, University of Cambridge, Cambridge, UK.
Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK, USA.

Matthew Redlinger (M)

Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK, USA.

Pavlo Smyrnov (P)

Alliance for Public Health, Kyiv, Ukraine.

Olga Tymets (O)

Alliance for Public Health, Kyiv, Ukraine.

Anna Korobchuk (A)

Alliance for Public Health, Kyiv, Ukraine.

Lyudmyla Kotlyk (L)

Odesa Regional Virology Laboratory, Odesa, Ukraine.

Anna Kolodiazieva (A)

Odesa Regional Virology Laboratory, Odesa, Ukraine.

Anna Podolina (A)

Odesa Regional Virology Laboratory, Odesa, Ukraine.

Svitlana Cherniavska (S)

Odesa Regional Virology Laboratory, Odesa, Ukraine.

Petro Antonenko (P)

Odesa National Medical University, Odesa, Ukraine.

Steffanie A Strathdee (SA)

Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA.

Samuel R Friedman (SR)

Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.

Ian Goodfellow (I)

Department of Pathology, Division of Virology, University of Cambridge, Cambridge, UK.

Joel O Wertheim (JO)

Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA.

Eric Bortz (E)

Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK, USA.

Luke Meredith (L)

Department of Pathology, Division of Virology, University of Cambridge, Cambridge, UK.

Tetyana I Vasylyeva (TI)

Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA. tvasylyeva@health.ucsd.edu.

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Classifications MeSH