Adaptation of hepatitis C virus to interferon lambda polymorphism across multiple viral genotypes.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
03 09 2019
Historique:
received: 03 10 2018
accepted: 31 05 2019
entrez: 4 9 2019
pubmed: 4 9 2019
medline: 20 2 2020
Statut: epublish

Résumé

Genetic polymorphism in the interferon lambda (IFN-λ) region is associated with spontaneous clearance of hepatitis C virus (HCV) infection and response to interferon-based treatment. Here, we evaluate associations between IFN-λ polymorphism and HCV variation in 8729 patients (Europeans 77%, Asians 13%, Africans 8%) infected with various viral genotypes, predominantly 1a (41%), 1b (22%) and 3a (21%). We searched for associations between rs12979860 genotype and variants in the NS3, NS4A, NS5A and NS5B HCV proteins. We report multiple associations in all tested proteins, including in the interferon-sensitivity determining region of NS5A. We also assessed the combined impact of human and HCV variation on pretreatment viral load and report amino acids associated with both IFN-λ polymorphism and HCV load across multiple viral genotypes. By demonstrating that IFN-λ variation leaves a large footprint on the viral proteome, we provide evidence of pervasive viral adaptation to innate immune pressure during chronic HCV infection.

Identifiants

pubmed: 31478832
doi: 10.7554/eLife.42542
pii: 42542
pmc: PMC6721370
doi:
pii:

Substances chimiques

Immunologic Factors 0
Viral Nonstructural Proteins 0
interferon-lambda, human 0
Interferons 9008-11-1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Swiss National Science Foundation
ID : PP00P3_157529
Pays : Switzerland

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2019, Chaturvedi et al.

Déclaration de conflit d'intérêts

NC, JF No competing interests declared, ES, HM, AO, DB, GS, JM This study was partially funded by Gilead Sciences and the author is an employee of Gilead Sciences, SZ has been a consultant for Abbvie, Gilead, Janssen, Merck/MSD

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Auteurs

Nimisha Chaturvedi (N)

School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Evguenia S Svarovskaia (ES)

Gilead Sciences Inc, Foster City, United States.

Hongmei Mo (H)

Gilead Sciences Inc, Foster City, United States.

Anu O Osinusi (AO)

Gilead Sciences Inc, Foster City, United States.

Diana M Brainard (DM)

Gilead Sciences Inc, Foster City, United States.

G Mani Subramanian (GM)

Gilead Sciences Inc, Foster City, United States.

John G McHutchison (JG)

Gilead Sciences Inc, Foster City, United States.

Stefan Zeuzem (S)

Goethe University Hospital, Frankfurt, Germany.

Jacques Fellay (J)

School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Precision Medicine Unit, Lausanne University Hospital, Lausanne, Switzerland.

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Classifications MeSH