A transmission-virulence evolutionary trade-off explains attenuation of HIV-1 in Uganda
- Imperial College London, United Kingdom
- Johns Hopkins University, United States
- University of Washington, United States
- Rakai Health Sciences Program, Uganda
- Walter Reed Army Institute of Research, United States
- National Institutes of Health, United States
Abstract
Evolutionary theory hypothesizes that intermediate virulence maximizes pathogen fitness as a result of a trade-off between virulence and transmission, but empirical evidence remains scarce. We bridge this gap using data from a large and long-standing HIV-1 prospective cohort, in Uganda. We use an epidemiological-evolutionary model parameterised with this data to derive evolutionary predictions based on analysis and detailed individual-based simulations. We robustly predict stabilising selection towards a low level of virulence, and rapid attenuation of the virus. Accordingly, set-point viral load, the most common measure of virulence, has declined in the last 20 years. Our model also predicts that subtype A is slowly outcompeting subtype D, with both subtypes becoming less virulent, as observed in the data. Reduction of set-point viral loads should have resulted in a 20% reduction in incidence, and a three years extension of untreated asymptomatic infection, increasing opportunities for timely treatment of infected individuals.
Data availability
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Data from: A transmission-virulence evolutionary trade-off explains attenuation of HIV-1 in UgandaAvailable at Dryad Digital Repository under a CC0 Public Domain Dedication.
Article and author information
Author details
François Blanquart
Funding
European Commission (Intra European Fellowship 657768)
- François Blanquart
World Bank Group
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
Henry M. Jackson Foundation (W81XWH-07-2-0067)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
U.S. Department of Defense (W81XWH-07-2-0067)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
National Institutes of Health (R01AI108490; P30AI027757)
- Joshua Herbeck
European Research Council (PBDR-339251)
- Christophe Fraser
National Institute of Allergy and Infectious Diseases (R01 Al 29314; R01 AI34826; UO1 AI11171-01-02)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
National Institute of Child Health and Human Development (5P30 HD 06268)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
John E. Fogarty Foundation for Persons with Intellectual and Developmental Disabilities (5D43TW00010)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
John Snow Inc. (5024-30)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
Pfizer (5024-30)
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
Rockefeller Foundation
- Mary Kate Grabowski
- Fred Nalugoda
- David Serwadda
- Michael A Eller
- Merlin L Robb
- Ronald Gray
- Godfrey Kigozi
- Oliver Laeyendecker
- Gertrude Nakigozi
- Thomas C Quinn
- Steven J Reynolds
- Maria J Wawer
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Informed consent was obtained from all the participants in the Rakai Community Cohort Study.The Scientific and Ethics Committee of the Uganda Virus Research Institute (UVRI) of the Ministry of Health provides the Institutional Review Board approval and monitoring of all Rakai research.
Copyright
© 2016, Blanquart et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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A transmission-virulence evolutionary trade-off explains attenuation of HIV-1 in Uganda
eLife 5:e20492.
https://doi.org/10.7554/eLife.20492
Further reading
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- Epidemiology and Global Health
- Microbiology and Infectious Disease
Background:
In many settings, a large fraction of the population has both been vaccinated against and infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hence, quantifying the protection provided by post-infection vaccination has become critical for policy. We aimed to estimate the protective effect against SARS-CoV-2 reinfection of an additional vaccine dose after an initial Omicron variant infection.
Methods:
We report a retrospective, population-based cohort study performed in Shanghai, China, using electronic databases with information on SARS-CoV-2 infections and vaccination history. We compared reinfection incidence by post-infection vaccination status in individuals initially infected during the April–May 2022 Omicron variant surge in Shanghai and who had been vaccinated before that period. Cox models were fit to estimate adjusted hazard ratios (aHRs).
Results:
275,896 individuals were diagnosed with real-time polymerase chain reaction-confirmed SARS-CoV-2 infection in April–May 2022; 199,312/275,896 were included in analyses on the effect of a post-infection vaccine dose. Post-infection vaccination provided protection against reinfection (aHR 0.82; 95% confidence interval 0.79–0.85). For patients who had received one, two, or three vaccine doses before their first infection, hazard ratios for the post-infection vaccination effect were 0.84 (0.76–0.93), 0.87 (0.83–0.90), and 0.96 (0.74–1.23), respectively. Post-infection vaccination within 30 and 90 days before the second Omicron wave provided different degrees of protection (in aHR): 0.51 (0.44–0.58) and 0.67 (0.61–0.74), respectively. Moreover, for all vaccine types, but to different extents, a post-infection dose given to individuals who were fully vaccinated before first infection was protective.
Conclusions:
In previously vaccinated and infected individuals, an additional vaccine dose provided protection against Omicron variant reinfection. These observations will inform future policy decisions on COVID-19 vaccination in China and other countries.
Funding:
This study was funded the Key Discipline Program of Pudong New Area Health System (PWZxk2022-25), the Development and Application of Intelligent Epidemic Surveillance and AI Analysis System (21002411400), the Shanghai Public Health System Construction (GWVI-11.2-XD08), the Shanghai Health Commission Key Disciplines (GWVI-11.1-02), the Shanghai Health Commission Clinical Research Program (20214Y0020), the Shanghai Natural Science Foundation (22ZR1414600), and the Shanghai Young Health Talents Program (2022YQ076).
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- Epidemiology and Global Health
Background:
The role of circulating metabolites on child development is understudied. We investigated associations between children’s serum metabolome and early childhood development (ECD).
Methods:
Untargeted metabolomics was performed on serum samples of 5004 children aged 6–59 months, a subset of participants from the Brazilian National Survey on Child Nutrition (ENANI-2019). ECD was assessed using the Survey of Well-being of Young Children’s milestones questionnaire. The graded response model was used to estimate developmental age. Developmental quotient (DQ) was calculated as the developmental age divided by chronological age. Partial least square regression selected metabolites with a variable importance projection ≥1. The interaction between significant metabolites and the child’s age was tested.
Results:
Twenty-eight top-ranked metabolites were included in linear regression models adjusted for the child’s nutritional status, diet quality, and infant age. Cresol sulfate (β=–0.07; adjusted-p <0.001), hippuric acid (β=–0.06; adjusted-p <0.001), phenylacetylglutamine (β=–0.06; adjusted-p <0.001), and trimethylamine-N-oxide (β=–0.05; adjusted-p=0.002) showed inverse associations with DQ. We observed opposite directions in the association of DQ for creatinine (for children aged –1 SD: β=–0.05; pP=0.01;+1 SD: β=0.05; p=0.02) and methylhistidine (–1 SD: β = - 0.04; p=0.04;+1 SD: β=0.04; p=0.03).
Conclusions:
Serum biomarkers, including dietary and microbial-derived metabolites involved in the gut-brain axis, may potentially be used to track children at risk for developmental delays.
Funding:
Supported by the Brazilian Ministry of Health and the Brazilian National Research Council.
