2026-05-20T04:15:57Zhttps://repisalud.isciii.es/rest/oai/request
oai:repisalud.isciii.es:20.500.12105/267372025-12-18T13:01:17Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19611
Repisalud author Martin-Ramirez, Alexandra author Akindele, Akeem Abiodun author Gonzalez-Mora, Vicenta author Garcia, Luz author Lara, Nicole author de la Torre-Capitán Matías, Eva author Molina-de la Fuente, Irene author Nassar, Sulaiman Adebayo author Ta Tang, Thuy-Huong author Benito, Agustin author Berzosa, Pedro funder Centro de Investigación Biomédica en Red - CIBERINFEC (Enfermedades Infecciosas) funder Instituto de Salud Carlos III funder Ministerio de Ciencia, Innovación y Universidades (España) 2025-06-10T14:10:17Z 2025-06-10T14:10:17Z 2025-04-08 Martín Ramírez A, Akindele AA, González Mora V, García L, Lara N, de la Torre-Capitán Matías E, Molina de la Fuente I, Nassar SA, Ta-Tang TH, Benito A, Berzosa P. Mutational profile of pfdhfr, pfdhps, pfmdr1, pfcrt and pfk13 genes of P. falciparum associated with resistance to different antimalarial drugs in Osun state, southwestern Nigeria. Trop Med Health. 2025 Apr 8;53(1):49. 10.1186/s41182-025-00732-6 1349-4147 1348-8945 Tropical medicine and health 40200353 https://hdl.handle.net/20.500.12105/26737 Background: Nigeria accounts for the greatest burden of malaria disease globally. Malaria control requires an effective treatment after diagnosis. The efficacy of antimalarial drugs can be assessed through the analysis of genetic changes associated with reduced drug sensitivity. Methods: This study includes the analysis of the markers associated with artemisinin (pfk13), sulfadoxine-pyrimethamine (pfdhfr and pfdhps), and chloroquine and its derivatives (pfmdr1 and pfcrt) resistances, in blood samples collected from asymptomatic children in south-western Nigeria. Results: The 25.95% of samples showed a number of mutations in pfk13 gene. Among those, the validated, C580Y, and the candidate, R515K, mutations by WHO were detected. Twenty-seven pfdhps different haplotypes were observed, with the haplotype ISGKAA as the most prevalent (18.80%), followed by IFGKAA (12.78%) and IAGKAA (11.28%). The VAGKGS was the most common haplotype carrying the I431V mutation (10.53%). Combinations of alleles in pfdhfr and pfdhps genes provided a 40.98% of samples with the partially resistant haplotype (IRNG). No samples exhibited the 'fully resistant' or 'super resistant' pfdhprf-pfdhps combinations, but one sample contained mutations at pfdhfr 51I, 59R, and 108N with pfdhps 431V, 436A, A437G and 540E. The analysis of pfcrt 72-76 variants disclosed a 12.12% of samples with the mutant-type (CVIET). No double mutant pfmdr1 haplotypes 86Y/1246Y (YY) were detected, nor was the haplotype formed by the alleles 86Y pfmdr1 + pfcrt 76 T (YT). Conclusions: There was no evidence of parasite genomes harbouring multilocus mutations conferring multidrug resistance, although evidence of a validated (C580Y) and a candidate (R515K) mutation in pfk13 gene, high frequency pfdhfr mutant alleles and high variability of pfdhps haplotypes were found in this study, which provides a baseline information essential in monitoring P. falciparum resistances. eng Pfcrt Pfdhfr Pfdhps pfk13 pfmdr1 Antimalarial drug resistance Drug-resistant P. falciparum Malaria Nigeria Mutational profile of pfdhfr, pfdhps, pfmdr1, pfcrt and pfk13 genes of P. falciparum associated with resistance to different antimalarial drugs in Osun state, southwestern Nigeria research article 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 URL https://repisalud.isciii.es/bitstreams/1e311015-d08c-4143-958d-79cdbb6f96ce/download File MD5 7c85f3ae8e33296787f350e7d3a05f02 1698052 application/pdf MutationalProfile_pfdhfr_pfdhps_2025.pdf URL https://repisalud.isciii.es/bitstreams/1296dc5a-0259-4ad5-a27c-73b30a3d9a3b/download File MD5 d72dee7c68bb626ee59b5d694be01d51 204286 application/pdf Supplementary_MutationalProfile_pfdhfr_pfdhps_2025.pdf