Published August 26, 2024 | Version v1
Journal article Open

Hyper-diverse antigenic variation and resilience to transmission-reducing intervention in falciparum malaria

  • 1. University of Chicago
  • 2. Purdue University
  • 3. University of Melbourne
  • 4. New York University

Description

Intervention efforts against falciparum malaria in high-transmission regions remain challenging, with rapid resurgence typically following their relaxation. Such resilience co-occurs with incomplete immunity and a large transmission reservoir from high asymptomatic prevalence. Incomplete immunity relates to the large antigenic variation of the parasite, with the major surface antigen of the blood stage of infection encoded by the multigene and recombinant family known as var. With a stochastic agent-based model, we investigate the existence of a sharp transition in resurgence ability with intervention intensity and identify molecular indicators informative of its proximity. Their application to survey data with deep sampling of var sequences from individual isolates in northern Ghana suggests that the transmission system was brought close to transition by intervention with indoor residual spraying. These results indicate that sustaining and intensifying intervention would have pushed malaria dynamics to a slow-rebound regime with an increased probability of local parasite extinction.

Data availability

The sequences utilized in this study are publicly available in GenBank under BioProject Number: PRJNA396962. Requests for the data on individual age classes corresponding to P. falciparum isolates should be made by contacting the Malaria Reservoir Study Team represented by Prof. Karen Day (Response timeframe: ~1 month), in order to discuss how these data will be utilized for academic or research purposes and, if appropriate, to identify opportunities for collaboration. The individual age data are not publicly available due to ethical reasons. All additional information associated with this study, on the output of numerical simulations and parameters of the agent-based model, is available in the main text and supplementary information.

For information on the simulation code and analysis scripts, please see the GitHub repository at: https://github.com/qzhan321/Intervention, digital resource identifier: https://doi.org/10.5281/zenodo.12775297, Zhan. R version 4.0.3 was utilized for all analyses. The base R, along with the R packages RSQLite, dplyr, tidyverse, and stringr were used.

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Hyper-diverse-antigenic-variation-and-resilience-to-transmission-reducing-intervention-in-falciparum-malaria.pdf

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Additional details

Identifiers

DOI
10.1038/s41467-024-51468-6
Other
oai:uchicago.tind.io:13297

Funding

Fogarty International Center, National Institutes of Health
joint NIH-NSF-NIFA Ecology and Evolution of Infectious Diseases award
National Institute of Allergy and Infectious Diseases
joint NIH-NSF-NIFA Ecology and Evolution of Infectious Diseases award

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Genetics, Genomics, and Systems Biology