Risk compensation after HIV-1 vaccination may accelerate viral adaptation and reduce cost-effectiveness: a modeling study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
24 03 2021
Historique:
received: 09 12 2020
accepted: 22 02 2021
entrez: 25 3 2021
pubmed: 26 3 2021
medline: 21 10 2021
Statut: epublish

Résumé

Pathogen populations can evolve in response to selective pressure from vaccine-induced immune responses. For HIV, models predict that viral adaptation, either via strain replacement or selection on de novo mutation, may rapidly reduce the effectiveness of an HIV vaccine. We hypothesized that behavioral risk compensation after vaccination may accelerate the transmission of vaccine resistant strains, increasing the rate of viral adaptation and leading to a more rapid decline in vaccine effectiveness. To test our hypothesis, we modeled: (a) the impact of risk compensation on rates of HIV adaptation via strain replacement in response to a partially effective vaccine; and (b) the combined impact of risk compensation and viral adaptation on vaccine-mediated epidemic control. We used an agent-based epidemic model that was calibrated to HIV-1 trends in South Africa, and includes demographics, sexual network structure and behavior, and within-host disease dynamics. Our model predicts that risk compensation can increase the rate of HIV viral adaptation in response to a vaccine. In combination, risk compensation and viral adaptation can, under certain scenarios, reverse initial declines in prevalence due to vaccination, and result in HIV prevalence at 15 years equal to or greater than prevalence without a vaccine.

Identifiants

pubmed: 33762616
doi: 10.1038/s41598-021-85487-w
pii: 10.1038/s41598-021-85487-w
pmc: PMC7991033
doi:

Substances chimiques

AIDS Vaccines 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6798

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI108490
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI150467
Pays : United States
Organisme : NICHD NIH HHS
ID : R21 HD075662
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD068395
Pays : United States

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Auteurs

Kathryn Peebles (K)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

John E Mittler (JE)

Department of Microbiology, University of Washington, Seattle, WA, USA.

Steven M Goodreau (SM)

Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.
Department of Anthropology, University of Washington, Seattle, WA, USA.

James T Murphy (JT)

Department of Global Health, University of Washington, Seattle, WA, USA.

Molly C Reid (MC)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

Neil Abernethy (N)

Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
Department of Health Services, University of Washington, Seattle, WA, USA.

Geoffrey S Gottlieb (GS)

Department of Medicine, University of Washington, Seattle, WA, USA.
Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA.

Ruanne V Barnabas (RV)

Department of Epidemiology, University of Washington, Seattle, WA, USA.
Department of Global Health, University of Washington, Seattle, WA, USA.
Department of Medicine, University of Washington, Seattle, WA, USA.
International Clinical Research Center, University of Washington, Seattle, WA, USA.

Joshua T Herbeck (JT)

Department of Global Health, University of Washington, Seattle, WA, USA. herbeck@uw.edu.
International Clinical Research Center, University of Washington, Seattle, WA, USA. herbeck@uw.edu.

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