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Mateusz M. Plucinski

Researcher at Centers for Disease Control and Prevention

Publications -  92
Citations -  1947

Mateusz M. Plucinski is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Malaria & Plasmodium falciparum. The author has an hindex of 21, co-authored 72 publications receiving 1385 citations. Previous affiliations of Mateusz M. Plucinski include University of California, Berkeley & University of Oxford.

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Persisting Viral Sequences Shape Microbial CRISPR-based Immunity

TL;DR: A population genetic mathematical model of CRISPR-virus coevolution with six years of metagenomic sequencing is combined to link the recoverable genomic dynamics ofCRISPR loci to the unknown population dynamics of virus and host in natural communities.
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Selection and spread of artemisinin-resistant alleles in Thailand prior to the global artemisinin resistance containment campaign.

TL;DR: It appears the most prevalent artemisinin resistance-associated K13 mutation carried two distinct haplotype profiles that were separated based on geography, along the Thai-Cambodia and Thai-Myanmar borders, and it appears these two haplotypes may have independent evolutionary origins.
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Efficacy of Artemether-Lumefantrine and Dihydroartemisinin-Piperaquine for Treatment of Uncomplicated Malaria in Children in Zaire and Uíge Provinces, Angola

TL;DR: The absence of molecular markers for artemisinin resistance and the observed efficacies of both drug combinations suggest no evidence of artemis inin resistance in northern Angola, but there is evidence of increased lumefantrine resistance in Zaire, which should continue to be monitored.
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Bead-based immunoassay allows sub-picogram detection of histidine-rich protein 2 from Plasmodium falciparum and estimates reliability of malaria rapid diagnostic tests.

TL;DR: A new HRP2 immunoassay based on antigen capture through a bead-based system capable of detectingHRP2 at sub-picogram levels is presented, allowing fast processing and screening of large numbers of samples and generating estimates for true performance in the field.