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Genomic malaria surveillance of antenatal care users detects reduced transmission following elimination interventions in Mozambique.

Authors :
Brokhattingen, Nanna
Matambisso, Glória
da Silva, Clemente
Neubauer Vickers, Eric
Pujol, Arnau
Mbeve, Henriques
Cisteró, Pau
Maculuve, Sónia
Cuna, Boaventura
Melembe, Cardoso
Ndimande, Nelo
Palmer, Brian
García-Ulloa, Manuel
Munguambe, Humberto
Montaña-Lopez, Júlia
Nhamussua, Lidia
Simone, Wilson
Chidimatembue, Arlindo
Galatas, Beatriz
Guinovart, Caterina
Source :
Nature Communications; 3/16/2024, Vol. 15 Issue 1, p1-12, 12p
Publication Year :
2024

Abstract

Routine sampling of pregnant women at first antenatal care (ANC) visits could make Plasmodium falciparum genomic surveillance more cost-efficient and convenient in sub-Saharan Africa. We compare the genetic structure of parasite populations sampled from 289 first ANC users and 93 children from the community in Mozambique between 2015 and 2019. Samples are amplicon sequenced targeting 165 microhaplotypes and 15 drug resistance genes. Metrics of genetic diversity and relatedness, as well as the prevalence of drug resistance markers, are consistent between the two populations. In an area targeted for elimination, intra-host genetic diversity declines in both populations (p = 0.002-0.007), while for the ANC population, population genetic diversity is also lower (p = 0.0004), and genetic relatedness between infections is higher (p = 0.002) than control areas, indicating a recent reduction in the parasite population size. These results highlight the added value of genomic surveillance at ANC clinics to inform about changes in transmission beyond epidemiological data. Routine sampling of pregnant women at first antenatal care (ANC) visits could be used for malaria surveillance. Here, the authors compare the genetic structure of Plasmodium falciparum parasite populations between samples from first ANC users and children from the community in Mozambique, and show that it can inform about changes in transmission beyond epidemiological data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
176081393
Full Text :
https://doi.org/10.1038/s41467-024-46535-x