Evidence map›Paper›PMID 38491359›Full record

ArticleMalaria journal2024

Microsatellites reveal high polymorphism and high potential for use in anti-malarial efficacy studies in areas with different transmission intensities in mainland Tanzania.

Deus S Ishengoma, Celine I Mandara, Rashid A Madebe, Marian Warsame, Billy Ngasala, Abdunoor M Kabanywanyi, Muhidin K Mahende, Erasmus Kamugisha, Reginald A Kavishe, Florida Muro and 8 more

Abstract read
In one paragraph

Article in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Emergence of chloroquine-sensitiveEmerging microbes & infections · 2025
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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

18 authors.

Deus S IshengomaNational Institute for Medical Research, Dar es Salaam, Tanzania. deusishe@yahoo.com.
Celine I MandaraNational Institute for Medical Research, Dar es Salaam, Tanzania.
Rashid A MadebeNational Institute for Medical Research, Dar es Salaam, Tanzania.
Marian WarsameGothenburg University, Gothenburg, Sweden.
Billy NgasalaDepartment of Parasitology, School of Public Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Abdunoor M KabanywanyiIfakara Health Institute, Dar es Salaam, Tanzania.
Muhidin K MahendeIfakara Health Institute, Dar es Salaam, Tanzania.
Erasmus KamugishaBugando Medical Centre, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Reginald A KavisheKilimanjaro Christian Medical Centre, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Florida MuroKilimanjaro Christian Medical Centre, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Renata MandikeNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Sigsbert MkudeNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Frank ChackyNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Ritha NjauMalariologist and Public Health Specialist, Dar es Salaam, Tanzania.
Troy MartinHIV Vaccine Trials Network, Fred Hutch Cancer Research Centre, Seattle, WA, USA.
Ally MohamedNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Jeffrey A BaileyDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA.
Abebe A FolaDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA.

Funding

Wellcome TrustWellcome Trust 107740/Z/15/Z
6 · The paper itself

Abstract

backgroundTanzania is currently implementing therapeutic efficacy studies (TES) in areas of varying malaria transmission intensities as per the World Health Organization (WHO) recommendations. In TES, distinguishing reinfection from recrudescence is critical for the determination of anti-malarial efficacy. Recently, the WHO recommended genotyping polymorphic coding genes, merozoite surface proteins 1 and 2 (msp1 and msp2), and replacing the glutamate-rich protein (glurp) gene with one of the highly polymorphic microsatellites in Plasmodium falciparum to adjust the efficacy of antimalarials in TES. This study assessed the polymorphisms of six neutral microsatellite markers and their potential use in TES, which is routinely performed in Tanzania.

methodsPlasmodium falciparum samples were obtained from four TES sentinel sites, Kibaha (Pwani), Mkuzi (Tanga), Mlimba (Morogoro) and Ujiji (Kigoma), between April and September 2016. Parasite genomic DNA was extracted from dried blood spots on filter papers using commercial kits. Genotyping was done using six microsatellites (Poly-α, PfPK2, TA1, C3M69, C2M34 and M2490) by capillary method, and the data were analysed to determine the extent of their polymorphisms and genetic diversity at the four sites.

resultsOverall, 83 (88.3%) of the 94 samples were successfully genotyped (with positive results for ≥ 50.0% of the markers), and > 50.0% of the samples (range = 47.6-59.1%) were polyclonal, with a mean multiplicity of infection (MOI) ranging from 1.68 to 1.88 among the four sites. There was high genetic diversity but limited variability among the four sites based on mean allelic richness (R

conclusionMicrosatellite genotyping revealed high polyclonality and genetic diversity but no significant population structure. Poly-α, C2M34, TA1 and C3M69 were the most polymorphic markers, and Poly-α alone or with any of the other three markers could be adopted for use in TES in Tanzania.

Indexed as

AntimalarialsMalaria, FalciparumAntigens, ProtozoanGenetic VariationGenotypeHumansMerozoite Surface Protein 1Microsatellite RepeatsPlasmodium falciparumProtozoan ProteinsTanzaniaAntigens, ProtozoanAntimalarialsMerozoite Surface Protein 1Protozoan ProteinsMalariaMicrosatellitesPlasmodium falciparumTanzaniaTherapeutic efficacy studies

Identifiers

PMID38491359
PMCPMC10943981

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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.