Evidence map›Paper›PMID 37670357›Full record

ArticleMalaria journal2023

Rebound of multiple infections and prevalence of anti-malarial resistance associated markers following malaria upsurges in Dielmo village, Senegal, West Africa.

Amélé Nyedzie Wotodjo, Mary Aigbiremo Oboh, Souleymane Doucoure, Nafissatou Diagne, Fatoumata Diène-Sarr, Makhtar Niang, Jean-François Trape, Cheikh Sokhna, Alfred Amambua-Ngwa, Umberto D'Alessandro

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In one paragraph

Article in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors at 4 institutions in 4 countries.

Amélé Nyedzie WotodjoVITROME, UMR 257 IRD, Campus UCAD-IRD, Dakar, Senegal. amele-nyedzie.wotodjo@ird.fr.
Mary Aigbiremo ObohMedical Research Council Unit, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Souleymane DoucoureVITROME, UMR 257 IRD, Campus UCAD-IRD, Dakar, Senegal.
Nafissatou DiagneVITROME, UMR 257 IRD, Campus UCAD-IRD, Dakar, Senegal.
Fatoumata Diène-SarrInstitut Pasteur de Dakar, 36 Avenue Pasteur, 220, Dakar, Senegal.
Makhtar NiangInstitut Pasteur de Dakar, 36 Avenue Pasteur, 220, Dakar, Senegal.
Jean-François TrapeUMR MIVEGEC, Laboratoire de Paludologie et Zoologie Médicale, IRD, Dakar, Senegal.
Cheikh SokhnaVITROME, UMR 257 IRD, Campus UCAD-IRD, Dakar, Senegal.
Alfred Amambua-NgwaMedical Research Council Unit, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Umberto D'AlessandroMedical Research Council Unit, London School of Hygiene and Tropical Medicine, Fajara, The Gambia.
Institut Pasteur de Dakar · SNMRC Unit the Gambia · GMInstitut de Recherche pour le Développement · SNOndo State University of Science and Technology · NG

Funding

AFRICA RESEARCH EXCELLENCE FUND (AREF) AREF-318-WOTO-F-C0872
6 · The paper itself

Abstract

backgroundThanks to the scale up of malaria control interventions, the malaria burden in Senegal has decreased substantially to the point that the National Malaria Control Programme plans to achieve malaria elimination by 2030. To guide such efforts, measuring and monitoring parasite population evolution and anti-malarial drugs resistance is extremely important. Information on the prevalence of parasite mutations related to drug resistance can provide a first signal of emergence, introduction and selection that can help with refining drug interventions. The aim of this study was to analyse the prevalence of anti-malarial drug resistance-associated markers before and after the implementation of artemisinin-based combination therapy (ACT) from 2005 to 2014 in Dielmo, a model site for malaria intervention studies in Senegal.

methodsSamples from both malaria patients and Plasmodium falciparum asymptomatic carriers were analysed with high resolution melting (HRM) technique to genotype P. falciparum chloroquine resistance transporter (Pfcrt) gene haplotypes and multidrug-resistant protein 1 (Pfmdr1) gene at codons N86 and Y184.

resultsAmong the 539 samples analysed, 474, 486, and 511 were successfully genotyped for Pfmdr1 N86, Y184, and Pfcrt, respectively. The prevalence of drug resistance markers was high, particularly during the malaria upsurges. Following the scale-up in bed net distribution, only the mutant (86F-like) variant of Pfmdr1 86 was present while during the malaria upsurges the predominance of two types 86Y-86N (43%) and 86F-like (56%) were observed. Most infections (87%) carried the wild type Y-allele at Pfmdr1 184 during the period of nets scale-up while during the malaria upsurges only 16% of infections had wild type and 79% of infections had mixed (mutant/wild) type. The frequency of the mixed genotypes SVMNT-like_CVMNK and SVMNT-like_CVIET within Pfcrt gene was particularly low during bednet scale up. Their frequency increased significantly (P < 0.001) during the malaria upsurges.

conclusionThis data demonstrated the effect of multiple interventions on the dynamics of drug resistance-associated mutations in the main malaria parasite P. falciparum in an endemic village in Senegal. Monitoring drug resistance markers should be conducted periodically to detect threats of emergence or resurgence that could compromise the efficacy of anti-malarial drugs.

Indexed as

AntimalarialsMalariaMalaria, FalciparumAfrica, WesternChloroquineHumansMembrane Transport ProteinsPrevalenceSenegalAntimalarialsChloroquineMembrane Transport ProteinsAnti-malarial drugsDielmoMalaria upsurgesPfcrtPfmdr1 184Pfmdr1 86ResistanceSenegal

Identifiers

PMID37670357
PMCPMC10478411
OpenAlexW4386441252

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.