Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1186/s12862-017-0913-3 |
Resumo: | Background: In-depth phylogeographic analysis can reveal migration patterns relevant for public health planning. Here, as a model, we focused on the provenance, in the current Italian HCV subtype 1a epidemic, of the NS3 resistance-associated variant (RAV) Q80K, known to interfere with the action of NS3/4A protease inhibitor simeprevir. HCV1a migration patterns were analysed using Bayesian phylodynamic tools, capitalising on newly generated and publicly available time and geo-referenced NS3 encoding virus genetic sequence data. Results: Our results showed that both immigration and local circulation fuel the current Italian HCV1a epidemic. The United States and European continental lineages dominate import into Italy, with the latter taking the lead from the 1970s onwards. Since similar migration patterns were found for Q80K and other lineages, no clear differentiation of the risk for failing simeprevir can be made between patients based on their migration and travel history. Importantly, since HCV only occasionally recombines, these results are readily transferable to the genetic sequencing policy concerning NS5A RAVs. Conclusions: The patient migration and travel history cannot be used to target only part of the HCV1a infected population for drug resistance testing before start of antiviral therapy. Consequently, it may be cost-effective to expand genotyping efforts to all HCV1a infected patients eligible for simeprevir-based therapies. |
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Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in ItalyEuropeHCVHCV1aItalyPhylogeographyPublic health policyQ80KUSEcology, Evolution, Behavior and SystematicsSDG 3 - Good Health and Well-beingSDG 10 - Reduced InequalitiesBackground: In-depth phylogeographic analysis can reveal migration patterns relevant for public health planning. Here, as a model, we focused on the provenance, in the current Italian HCV subtype 1a epidemic, of the NS3 resistance-associated variant (RAV) Q80K, known to interfere with the action of NS3/4A protease inhibitor simeprevir. HCV1a migration patterns were analysed using Bayesian phylodynamic tools, capitalising on newly generated and publicly available time and geo-referenced NS3 encoding virus genetic sequence data. Results: Our results showed that both immigration and local circulation fuel the current Italian HCV1a epidemic. The United States and European continental lineages dominate import into Italy, with the latter taking the lead from the 1970s onwards. Since similar migration patterns were found for Q80K and other lineages, no clear differentiation of the risk for failing simeprevir can be made between patients based on their migration and travel history. Importantly, since HCV only occasionally recombines, these results are readily transferable to the genetic sequencing policy concerning NS5A RAVs. Conclusions: The patient migration and travel history cannot be used to target only part of the HCV1a infected population for drug resistance testing before start of antiviral therapy. Consequently, it may be cost-effective to expand genotyping efforts to all HCV1a infected patients eligible for simeprevir-based therapies.Instituto de Higiene e Medicina Tropical (IHMT)Global Health and Tropical Medicine (GHTM)TB, HIV and opportunistic diseases and pathogens (THOP)RUNCuypers, LizeVrancken, BramFabeni, LaviniaMarascio, NadiaCento, ValeriaDi Maio, Velia ChiaraAragri, MariannaPineda-Peña, Andrea ClemenciaSchrooten, YoeriVan Laethem, KristelBalog, DanielFocà, AlfredoTorti, CarloNevens, FrederikPerno, Carlo FedericoVandamme, Anne MiekeCeccherini-Silberstein, Francesca2018-05-10T22:16:04Z2017-03-072017-03-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttps://doi.org/10.1186/s12862-017-0913-3eng1471-2148PURE: 3202562http://www.scopus.com/inward/record.url?scp=85014646353&partnerID=8YFLogxKhttps://doi.org/10.1186/s12862-017-0913-3info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:19:51Zoai:run.unl.pt:10362/36468Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:30.191245Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
title |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
spellingShingle |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy Cuypers, Lize Europe HCV HCV1a Italy Phylogeography Public health policy Q80K US Ecology, Evolution, Behavior and Systematics SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities |
title_short |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
title_full |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
title_fullStr |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
title_full_unstemmed |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
title_sort |
Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy |
author |
Cuypers, Lize |
author_facet |
Cuypers, Lize Vrancken, Bram Fabeni, Lavinia Marascio, Nadia Cento, Valeria Di Maio, Velia Chiara Aragri, Marianna Pineda-Peña, Andrea Clemencia Schrooten, Yoeri Van Laethem, Kristel Balog, Daniel Focà, Alfredo Torti, Carlo Nevens, Frederik Perno, Carlo Federico Vandamme, Anne Mieke Ceccherini-Silberstein, Francesca |
author_role |
author |
author2 |
Vrancken, Bram Fabeni, Lavinia Marascio, Nadia Cento, Valeria Di Maio, Velia Chiara Aragri, Marianna Pineda-Peña, Andrea Clemencia Schrooten, Yoeri Van Laethem, Kristel Balog, Daniel Focà, Alfredo Torti, Carlo Nevens, Frederik Perno, Carlo Federico Vandamme, Anne Mieke Ceccherini-Silberstein, Francesca |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Instituto de Higiene e Medicina Tropical (IHMT) Global Health and Tropical Medicine (GHTM) TB, HIV and opportunistic diseases and pathogens (THOP) RUN |
dc.contributor.author.fl_str_mv |
Cuypers, Lize Vrancken, Bram Fabeni, Lavinia Marascio, Nadia Cento, Valeria Di Maio, Velia Chiara Aragri, Marianna Pineda-Peña, Andrea Clemencia Schrooten, Yoeri Van Laethem, Kristel Balog, Daniel Focà, Alfredo Torti, Carlo Nevens, Frederik Perno, Carlo Federico Vandamme, Anne Mieke Ceccherini-Silberstein, Francesca |
dc.subject.por.fl_str_mv |
Europe HCV HCV1a Italy Phylogeography Public health policy Q80K US Ecology, Evolution, Behavior and Systematics SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities |
topic |
Europe HCV HCV1a Italy Phylogeography Public health policy Q80K US Ecology, Evolution, Behavior and Systematics SDG 3 - Good Health and Well-being SDG 10 - Reduced Inequalities |
description |
Background: In-depth phylogeographic analysis can reveal migration patterns relevant for public health planning. Here, as a model, we focused on the provenance, in the current Italian HCV subtype 1a epidemic, of the NS3 resistance-associated variant (RAV) Q80K, known to interfere with the action of NS3/4A protease inhibitor simeprevir. HCV1a migration patterns were analysed using Bayesian phylodynamic tools, capitalising on newly generated and publicly available time and geo-referenced NS3 encoding virus genetic sequence data. Results: Our results showed that both immigration and local circulation fuel the current Italian HCV1a epidemic. The United States and European continental lineages dominate import into Italy, with the latter taking the lead from the 1970s onwards. Since similar migration patterns were found for Q80K and other lineages, no clear differentiation of the risk for failing simeprevir can be made between patients based on their migration and travel history. Importantly, since HCV only occasionally recombines, these results are readily transferable to the genetic sequencing policy concerning NS5A RAVs. Conclusions: The patient migration and travel history cannot be used to target only part of the HCV1a infected population for drug resistance testing before start of antiviral therapy. Consequently, it may be cost-effective to expand genotyping efforts to all HCV1a infected patients eligible for simeprevir-based therapies. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-07 2017-03-07T00:00:00Z 2018-05-10T22:16:04Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1186/s12862-017-0913-3 |
url |
https://doi.org/10.1186/s12862-017-0913-3 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1471-2148 PURE: 3202562 http://www.scopus.com/inward/record.url?scp=85014646353&partnerID=8YFLogxK https://doi.org/10.1186/s12862-017-0913-3 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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10 application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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