A transmission-virulence evolutionary trade-off explains attenuation of HIV-1 in Uganda

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 05, 2016
Source ID
10.7554/elife.20492

Entities

People

  • Christophe Fraser
  • David Serwadda
  • François Blanquart
  • Fred Nalugoda
  • Gertrude Nakigozi
  • Godfrey Kigozi
  • Joshua Herbeck
  • Katrina A Lythgoe
  • Maria J. Wawer
  • Mary Kate Grabowski
  • Merlin L Robb
  • Michael A Eller
  • Oliver Laeyendecker
  • Ronald Gray
  • Steven J. Reynolds
  • Thomas C. Quinn

Organizations

  • Big Data Institute
  • European Commission
  • European Research Council
  • Henry M. Jackson Foundation for the Advancement of Military Medicine
  • Imperial College London
  • John E. Fogarty Foundation
  • Johns Hopkins University
  • Makerere University
  • National Institute of Allergy and Infectious Diseases
  • National Institutes of Health
  • Pfizer
  • Rakai Health Sciences Program
  • Rockefeller Foundation
  • United States Department of Defense
  • University of Oxford
  • University of Washington
  • Walter Reed Army Institute of Research
  • World Bank

Tags

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Virology (or Medical Virology).