Antimalarial resistance risk in Mozambique detected by a novel quadruplex droplet digital PCR assay

Author:

Brown Noah1,da Silva Clemente2ORCID,Webb Caroline1,Matias Daniela2,Dias Brigite2,Cancio Beatriz2,Silva Miguel2,Viegas Ruben2,Salvador Crizolgo3,Chivale Nordino3,Luis Sonia4,Arnaldo Paulo3,Zulawinska Julia1,Moore Christopher C.5,Nogueira Fatima2ORCID,Guler Jennifer L.15ORCID

Affiliation:

1. Department of Biology, University of Virginia, Charlottesville, Virginia, USA

2. Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Lisbon, Portugal

3. Instituto Nacional de Saúde, Maputo (INS), Maputo, Mozambique

4. Hospital Provincial de Matola, Matola, Mozambique

5. Division of Infectious Disease and International Health, University of Virginia, Charlottesville, Virginia, USA

Abstract

ABSTRACT While the Plasmodium falciparum malaria parasite continues to cause severe disease globally, Mozambique is disproportionally represented in malaria case totals. Acquisition of copy number variations (CNVs) in the parasite genome contributes to antimalarial drug resistance through overexpression of drug targets. Of interest, piperaquine resistance is associated with plasmepsin 2 and 3 CNVs ( pfpmp2 and pfpmp3, respectively), while CNVs in the multidrug efflux pump, multidrug resistance-1 ( pfmdr1 ), increase resistance to amodiaquine and lumefantrine. These antimalarials are partner drugs in artemisinin combination therapies (ACTs) and therefore, CNV detection with accurate and efficient tools is necessary to track ACT resistance risk. Here, we evaluated ~300 clinically derived samples collected from three sites in Mozambique for resistance-associated CNVs. We developed a novel, medium-throughput, quadruplex droplet digital PCR (ddPCR) assay to simultaneously quantify the copy number of pfpmp3, pfpmp2 , and pfmdr1 loci in these clinical samples. By using DNA from laboratory parasite lines, we show that this nanodroplet-based method is capable of detecting picogram levels of parasite DNA, which facilitates its application for low yield and human host-contaminated clinical surveillance samples. Following ddPCR and the application of quality control standards, we detected CNVs in 13 of 229 high-quality samples (prevalence of 5.7%). Overall, our study revealed a low number of resistance CNVs present in the parasite population across all three collection sites, including various combinations of pfmdr1 , pfpmp2 , and pfpmp3 CNVs. The potential for future ACT resistance across Mozambique emphasizes the need for continued molecular surveillance across the region.

Funder

Global Infectious Disease Institute

Center for Global Health Equity

Fundacao para a Ciencia e a Tecnologia

Instituto Camoes Bolsas Camoes

Fundacao Millennium BCP

Paroquia de Sao Nicolau-Lisboa

HHS | National Institutes of Health

Publisher

American Society for Microbiology

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