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

He Qixin, Chaillet Frédéric, Labbe Frédéric. 2024. Antigenic strain diversity predicts different biogeographic patterns of maintenance and decline of antimalarial drug resistance. eLife, 12:RP90888, 36 p.

https://doi.org/10.7554/eLife.90888

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Url - autres données associées : https://github.itap.purdue.edu/HeLab/MalariaResistance

Résumé : 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.

Mots-clés Agrovoc : transmission des maladies, épidémiologie, modèle mathématique, immunité, hôte, résistance aux médicaments, dynamique des populations, malaria, résistance aux maladies, relation hôte pathogène, parasitisme, vecteur de maladie, parasite, infection, interactions biologiques