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EDITORIAL article

Front. Epidemiol., 03 April 2024
Sec. Infectious Disease Epidemiology
This article is part of the Research Topic Malaria molecular epidemiology current situation in Africa View all 5 articles

Editorial: Malaria molecular epidemiology current situation in Africa

  • 1Department of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
  • 2Laboratory for Antimalarial Resistance Monitoring and Malaria Operational Research, National Institute of Communicable Diseases (NCID), Johannesburg, South Africa
  • 3Biosciences Department, Kenya Medical Research Institute (KEMRI) Wellcome Trust Research Programme, Kilifi, Kenya

Editorial on the Research Topic
Malaria molecular epidemiology current situation in Africa

Malaria remains a significant public health burden in many of the 85 malaria-endemic countries, the majority of which are in sub-Saharan Africa (sSA) (1). The value of molecular surveillance in evidence-based decision-making was clearly demonstrated during the COVID-19 pandemic. National Malaria Control Programmes (NMCPs) across Africa are now using of malaria molecular surveillance and epidemiology data to guide intervention selection and targeting to help them eliminate malaria. The four articles in this research topic highlight the importance of molecular epidemiology in informing and improving malaria surveillance strategies.

One of the threats to malaria elimination is the emergence and spread of Plasmodium falciparum parasites with deletions in the histidine-rich protein 2 and 3 (hrp2/3) genes. Malaria parasites with these deletions evade detection by hrp2-based RDTs, the preferred point-of-care diagnostic across most of sSA, increasing the risk malaria-related morbidity and mortality as well as the chances of onward transmission (2, 3). For evidence-based decision on malaria diagnostics, it is essential that NMCPs have accurate and current data on the prevalence and distribution of parasites carrying these deletions.

Duah-Quashie et al., determined the prevalence of parasites with hrp2/3 gene deletions in symptomatic children from 10 sentinel sites located across three different ecological regions in Ghana between 2015 and 2020. Sequence data generated from archived dried blood spots were analyzed for deletions and polymorphisms in the hrp2 and hrp3 genes. Of the 2,540 samples analyzed, 30.7% carried hrp2 deletions and 17.2% hrp3 deletions, with the prevalence of these gene deletions increasing over time. These findings suggested a possible decrease in sensitivity in the ability of hrp2-based RDTs to detect malaria in Ghana and calls for increased surveillance.

Similar to Duah-Quashie et al., Okanda et al., investigated the prevalence of hrp2/3 gene deletions in malaria parasites collected from symptomatic and uncomplicated malaria patients in Kilifi, Kenya between November 2019 and February 2020. From the 345 samples collected none of the 11 RDT-negative and microscopy positive samples carried both the hrp2 or hrp3 gene deletion. However, an extension of the criteria to increase the sample size using qPCR positive samples identified a low prevalence of both hrp2 and hrp3 gene deleted parasites at 2.1%. The findings from these studies underscore the importance of constant surveillance and the need for novel cost-effective point-of care malaria diagnostic.

The third article in this collection by Matrevi et al., investigated the almost inevitable problem of the emergence and spread of drug-resistant malaria parasites. Artemisinin-based combination therapies (ACTs) are the recommended treatment for uncomplicated malaria as they are fast acting and highly efficacious. Currently these drugs are the most widely used antimalarials in Africa, so the emergence and spread of resistance to ACTs poses a significant risk to sSA's malaria control/elimination efforts (4). Monitoring the prevalence of molecular markers associated with antimalarial resistance enables the early detection of and response to emerging resistance. In their study, Matrevi et al., determined the prevalence of mutations in nine P. falciparum genes associated with resistance to artemisinin derivatives, lumefantrine, chloroquine, quinine, sulphadoxine and pyrimethamine in Ghana. The 1,170 parasite samples assessed were collected over five transmission seasons between 2007 and 2018 from symptomatic children aged 9 years and younger with uncomplicated malaria. The prevalence of parasites carrying mutations in the P. falciparum falcipain 2 gene, potentially associated with artemisinin-partial resistance, increased over the study duration, while no known mutations associated with artemisinin-partial resistance were detected in the P. falciparum coronin gene. Mutation in the P. falciparum cycteine desulfurase gene, possibly associated with lumefantrine resistance, also increased over the study period. These increases in mutation prevalence may be associated with recent reports of decreasing ACT efficacy in Ghana and highlights the need for sustained molecular surveillance to mitigate the risk of drug resistant parasites becoming established in Ghana.

The final paper of this research topic by Arambepola et al., investigated the impacts of how and when sampling is conducted on the determinants of P. falciparum population structure. Malaria genomic data have been used to understand changes in transmission intensity and parasite relatedness. The more closely related parasites are, the closer they are on a transmission network, potentially suggesting a foci of local transmission. This information can be used by NMCPs to inform control strategies. However, in areas of moderate to high transmission, the complexity of infections makes inferring relatedness challenging.

Arambepola et al., used two measures of relatedness to investigate population structure in a moderate transmission setting in Kenya. The model developed was then used to assess the power of genomic data to determine population structure under different sampling schemes, levels of missing data and transmission settings. The study revealed that infections sampled closer in time were more likely to genetically similar and less differentiated compared to those sampled further apart. However, there was limited evidence of spatial (village-level) structure. Power to estimate relatedness decreased as the level of missing data increased but was not impacted when only sampling symptomatic individuals. Data from this study suggest that active dense sampling can detect population structure, even when certain data are missing, but not when there are high levels of connectivity between different regions. More research is required to address these short comings.

Considering other epidemiological factors that were not discussed in the articles under this topic is the invasion of Anopheles stephensi into the Horn of Africa which is rapidly spreading in the region into East Africa and as far west into Nigeria and Ghana. This new occurrence calls for effective entomological surveys in African countries as this vector will enhance urban malaria spread and P. vivax transmission. It is worth mentioning the promising gains that can be made by the recent exciting efficacy data from the R21 vaccine bringing hope to reduction of malaria prevalence in Africa.

The work presented in this supplement, highlights the value of malaria molecular epidemiology in guiding evidence-based strategic planning and surveillance strategy implementation by NMCPs to advance elimination efforts. Malaria molecular epidemiology is an essential tool in the elimination toolbox of all NMCPs.

Author contributions

KT: Writing – original draft. ND-Q: Writing – review & editing. JR: Writing – review & editing. LO-O: Conceptualization, Writing – review & editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. WHO. (2023). World Malaria Report 2023.

2. Greenwood B. Artemisinin-resistant and HRP-negative malaria parasites in Africa. N Engl J Med. (2023) 389:1162–4. doi: 10.1056/NEJMp2309142

PubMed Abstract | Crossref Full Text | Google Scholar

3. Mihreteab S, Platon L, Berhane A, Stokes BH, Warsame M, Campagne P, et al. Increasing prevalence of artemisinin-resistant HRP2-negative malaria in Eritrea. N Engl J Med. (2023) 389:1191–202. doi: 10.1056/NEJMoa2210956

PubMed Abstract | Crossref Full Text | Google Scholar

4. Siddiqui FA, Liang X, Cui L. Plasmodium falciparum resistance to ACTs: Emergence, mechanisms, and outlook. Int J Parasitol Drugs Drug Resist. (2021) 16:102–18. doi: 10.1016/j.ijpddr.2021.05.007

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: hrp2/3, drug resistance, molecular epidemiology, molecular surveillance, molecular markers

Citation: Tandoh KZ, Duah-Quashie NO, Raman J and Ochola-Oyier LI (2024) Editorial: Malaria molecular epidemiology current situation in Africa. Front. Epidemiol. 4:1400612. doi: 10.3389/fepid.2024.1400612

Received: 13 March 2024; Accepted: 19 March 2024;
Published: 3 April 2024.

Edited and Reviewed by: Shailendra Saxena, King George’s Medical University, India

© 2024 Tandoh, Duah-Quashie, Raman and Ochola-Oyier. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lynette Isabella Ochola-Oyier TGlveWllckBrZW1yaS13ZWxsY29tZS5vcmc=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.