ReviewBioMed research international2026
Genomic Plasticity and Molecular Mechanisms of Antimalarial Drug Resistance in Plasmodium falciparum: Implications for Treatment Failure and Genomic Surveillance.
Review in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria remains a major global public health challenge, in part because Plasmodium falciparum populations can acquire and disseminate reduced susceptibility to antimalarial drugs under selective pressure. This review synthesizes current evidence on the molecular and genomic mechanisms underlying antimalarial drug resistance and examines their implications for treatment efficacy and malaria control. First, the review examines genomic plasticity, including structural genome variation, copy-number variation, recombination, epigenetic regulation, and transcriptional regulation, as sources of genetic and phenotypic variation relevant to drug susceptibility. Second, it summarizes established molecular determinants of resistance, including kelch13 (K13) mutations associated with delayed parasite clearance following artemisinin treatment, pfcrt mutations associated with chloroquine resistance, pfmdr1 copy-number variation associated with altered susceptibility to mefloquine and related antimalarials, and dhfr and dhps mutations associated with sulfadoxine-pyrimethamine resistance. Third, the review considers the emergence and dissemination of resistance-associated variants across parasite populations, emphasizing the contributions of population genomics and genomic surveillance to monitoring resistance patterns. Finally, recent applications of genomic epidemiology, whole-genome sequencing, and artificial intelligence-assisted analytical approaches are discussed, with emphasis on their potential utility for resistance surveillance and evidence-informed malaria control. Overall, integrating molecular, genomic, epidemiological, and evolutionary information provides a stronger framework for understanding antimalarial resistance and for supporting surveillance, treatment optimization, and malaria-control strategies.
Indexed as
Identifiers
42855825What OpenQuestion holds
Registered trials
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.