Evidence map›Paper›PMID 41184373›Full record

ArticleScientific reports2025

Serial cross-sectional school surveys identifies C469Y, P553L, R561H and A675V kelch 13 mutations associated with artemisinin resistance in Western Kenya.

Victor Osoti, Kevin Wamae, Moses M Musau, John B Magudha, Leonard Ndwiga, Paul M Gichuki, Collins Okoyo, Kiplagat Rosebella, Sammy Mahugu, Stephen Aricha and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Molecular Surveillance ofPathogens (Basel, Switzerland) · 2026
    Article
  2. Public Health Perspectives on IntegratingTropical medicine and infectious disease · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Victor OsotiCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Kevin WamaeCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Moses M MusauCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
John B MagudhaCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Leonard NdwigaCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Paul M GichukiEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya.
Collins OkoyoEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya.
Kiplagat RosebellaDivision of National Malaria Programme, Ministry of Health, Nairobi, Kenya.
Sammy MahuguDivision of National Malaria Programme, Ministry of Health, Nairobi, Kenya.
Stephen ArichaDivision of National Malaria Programme, Ministry of Health, Nairobi, Kenya.
Regina KandieDivision of National Malaria Programme, Ministry of Health, Nairobi, Kenya.
Kibor KeitanyDivision of National Malaria Programme, Ministry of Health, Nairobi, Kenya.
Stella KephaEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya.
Charles MwandawiroEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya.
Philip BejonCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Robert W SnowCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
L Isabella Ochola-OyierCentre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya. Lioyier@kemri-wellcome.org.

Funding

Gates Foundation INV-036442Wellcome TrustWellcome Trust 103602 and 212176Wellcome Trust 203077
6 · The paper itself

Abstract

Recent reports from East African countries indicate the emergence and spread of artemisinin partial resistance (ART-R), posing a significant threat to malaria control efforts in the region. The presence of critical Plasmodium falciparum kelch13 (k13) resistance markers, including C469Y, P553L and A675V, have been detected in Kenya, although their clinical significance remains unclear. This highlights an urgent need to closely monitor the prevalence of these mutations. A total of 24,227 dried blood spot (DBS) samples were collected from 82 primary schools across eight counties in Western Kenya during repeated cross-sectional surveys conducted in 2019 (n = 8,111), 2022 (n = 8,086), and 2023 (n = 8,200). Initial screening was performed using a rapid diagnostic test (RDT), and DNA extraction was conducted on RDT-positive samples. These samples were further analyzed using a Pf18s qPCR assay to quantify the Plasmodium falciparum DNA. Amplicons from malaria-positive samples were sequenced using a previously established amplicon deep sequencing pipeline to analyze mutations in Pfk13. A total of 500, 920 and 1058 samples from 2019, 2022, and 2023, respectively were successfully processed, enabling a temporal assessment of the changes in k13 mutations in the region. Four mutations that have previously been associated with artemisinin resistance were found. The A675V mutation was the most prevalent, being found in all 8 counties. It was absent in 2019 and increased from 0.9% in 2022 to 5% in 2023. In contrast, the C469Y mutation declined from 4% in 2022 to 1% in 2023, maintaining a presence in 3 counties. The P553L mutation was only detected in 2022 in 1.2% of the samples across 5 counties. The R561H mutation was not detected in 2019 and 2022 but emerged at a low frequency (0.5%) in 2023 in 2 counties. Siaya and Kisumu were the only counties with all 4 validated mutations between 2022 and 2023. The rising prevalence and geographical presence of the A675V mutation and the new detection of R561H in 2023 highlights the critical need for robust molecular surveillance systems to track the frequency and geographic spread of resistance markers. School-based sampling presents a practical and scalable approach for molecular surveillance, providing early warning signals for potential resistance hotspots. Additionally, the detection of the four WHO validatedPfk13 artemisinin resistance mutations in Western Kenya underscores the urgency of conducting regular Therapeutic Efficacy Studies (TES) to assess the continued efficacy of frontline antimalarial treatments. Integrating molecular surveillance with TES will generate important data to inform national treatment policies and support the long-term effectiveness of malaria control strategies in Kenya.

Indexed as

AntimalarialsArtemisininsDrug ResistanceMalaria, FalciparumMutationPlasmodium falciparumProtozoan ProteinsChildCross-Sectional StudiesFemaleHumansKenyaMalePrevalenceSchoolsAntimalarialsartemisininArtemisininsProtozoan ProteinsA675VAmpliconArtemisininC469YDeep-sequencingDrug resistanceKenyaMalariaP553LR561H

Identifiers

PMID41184373
PMCPMC12583745

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