Published February 16, 2024 | Version v1
Journal article Open

Antigenic strain diversity predicts different biogeographic patterns of maintenance and decline of antimalarial drug resistance

  • 1. Purdue University
  • 2. University of Chicago

Description

The establishment and spread of antimalarial drug resistance vary drastically across different biogeographic regions. Though most infections occur in sub-Saharan Africa, resistant strains often emerge in low-transmission regions. Existing models on resistance evolution lack consensus on the relationship between transmission intensity and drug resistance, possibly due to overlooking the feedback between antigenic diversity, host immunity, and selection for resistance. To address this, we developed a novel compartmental model that tracks sensitive and resistant parasite strains, as well as the host dynamics of generalized and antigen-specific immunity. Our results show a negative correlation between parasite prevalence and resistance frequency, regardless of resistance cost or efficacy. Validation using chloroquine-resistant marker data supports this trend. Post discontinuation of drugs, resistance remains high in low-diversity, low-transmission regions, while it steadily decreases in high-diversity, high-transmission regions. Our study underscores the critical role of malaria strain diversity in the biogeographic patterns of resistance evolution.

Data availability

All the ODE codes, numerically-simulated data, empirical data, and analyzing scripts are publicly available at https://github.itap.purdue.edu/HeLab/MalariaResistance (copy archived at Qixin and Chaillet, 2023).

The following previously published data sets were used:

Infectious Diseases Data Observatory (IDDO) (2015) Infectious Diseases Data Observatory ID act-partner-drug-molecular-surveyor. The ACT Partner Drug Molecular Surveyor. https://www.iddo.org/wwarn/tracking-resistance/act-partner-drug-molecular-surveyor

The Malaria Atlas Project (2023) The Malaria Atlas Project ID https://data.malariaatlas.org/trends?metricGroup=Malaria&metricSubcategory=Pf&metricType=rate&metricName=PR&year=2020&geographicLevel=admin0. Plasmodium falciparum Infection Prevalence. https://data.malariaatlas.org/trends?metricGroup=Malaria&metricSubcategory=Pf&metricType=rate&metricName=PR&year=2020&geographicLevel=admin0

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Additional details

Identifiers

DOI
10.7554/eLife.90888.3
Other
oai:uchicago.tind.io:11271

Funding

Fogarty International Center
R01-AI149779

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ecology and Evolution