Evidence map›Paper›PMID 39734236›Full record

ArticleTropical medicine and health2024

Temporal changes in Plasmodium falciparum genetic diversity and multiplicity of infection across three areas of varying malaria transmission intensities in Uganda.

Alex Mwesigwa, Steven M Kiwuwa, Benson Musinguzi, Hakiim Kawalya, James Davis Katumba, Andrew Baguma, Irene M Mutuku, Ismail Abiola Adebayo, Samuel L Nsobya, Pauline Byakika-Kibwika and 3 more

Abstract read
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Article in Tropical medicine and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

13 authors.

Alex MwesigwaClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, P. O. Box 7072, Kampala, Uganda. mwesigwaalex@gmail.com.
Steven M KiwuwaDepartment of Biochemistry, School of Biomedical Sciences, College of Health Sciences, Makerere, University, P.O. Box 7072, Kampala, Uganda.
Benson MusinguziDepartent of Medical Laboratory Science, Faculty of Health Sciences, Muni University, P.O. Box 725, Arua, Uganda.
Hakiim KawalyaDepartment of Immunology and Molecular Biology, Makerere University College of Health Sciences, P. O. Box 7072, Kampala, Uganda.
James Davis KatumbaHealth Tutors' College, Mulago, P.O. Box 5225, Kampala, Uganda.
Andrew BagumaDepartment of Microbiology and Immunology, School of Medicine, Kabale University, P. O. Box 314, Kabale, Uganda.
Irene M MutukuDepartment of Microbiology and Immunology, School of Medicine, Kabale University, P. O. Box 314, Kabale, Uganda.
Ismail Abiola AdebayoDepartment of Microbiology and Immunology, School of Medicine, Kabale University, P. O. Box 314, Kabale, Uganda.
Samuel L NsobyaInfectious Diseases Research Collaboration (IDRC), P.O. Box 7475, Kampala, Uganda.
Pauline Byakika-KibwikaMbarara University of Science and Technology, Mbarara, Uganda.
Joan N KalyangoClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, P. O. Box 7072, Kampala, Uganda.
Charles KaramagiClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, P. O. Box 7072, Kampala, Uganda.
Joaniter I NankabirwaClinical Epidemiology Unit, School of Medicine, Makerere University College of Health Sciences, P. O. Box 7072, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a significant public health challenge in Uganda, with Plasmodium falciparum (P. falciparum) responsible for most of malaria infections. The high genetic diversity and multiplicity of infection (MOI) associated with P. falciparum complicate treatment and prevention efforts. This study investigated temporal changes in P. falciparum genetic diversity and MOI across three sites with varying malaria transmission intensities. Understanding these changes is essential for informing effective malaria control strategies for the different malaria transmission settings.

methodsA total of 220 P. falciparum-positive dried blood spot (DBS) filter paper samples from participants in a study conducted during 2011-2012 and 2015-2016 were analyzed. Genotyping utilized seven polymorphic markers: Poly-α, TA1, TA109, PfPK2, 2490, C2M34-313, and C3M69-383. Genetic diversity metrics, including the number of alleles and expected heterozygosity, were calculated using GENALEX and ARLEQUIN software. MOI was assessed by counting distinct genotypes. Multi-locus linkage disequilibrium (LD) and genetic differentiation were evaluated using the standardized index of association (I

resultsOf the 220 samples, 180 were successfully amplified. The majority of participants were males (50.6%) and children aged 5-11 years (46.7%). Genetic diversity remained high, with mean expected heterozygosity (H

conclusionsThis study highlights the genetic diversity and MOI of P. falciparum in Uganda's malaria transmission settings, noting a slight decrease in both genetic diversity and MOI overtime. Continued surveillance and targeted control strategies are essential for monitoring the impact of malaria control efforts in Uganda.

Indexed as

Genetic diversityMultiplicity of infectionP. falciparumTransmission intensity

Identifiers

PMID39734236
PMCPMC11684243

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