Evidence map›Paper›PMID 30103683›Full record

Observational studyBMC infectious diseases2018

A barcode of multilocus nuclear DNA identifies genetic relatedness in pre- and post-Artemether/Lumefantrine treated Plasmodium falciparum in Nigeria.

Kolapo Muyiwa Oyebola, Oluwagbemiga Olanrewaju Aina, Emmanuel Taiwo Idowu, Yetunde Adeola Olukosi, Olusola Sunday Ajibaye, Olubunmi Adetoro Otubanjo, Taiwo Samson Awolola, Gordon Akanzuwine Awandare, Alfred Amambua-Ngwa

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Kolapo Muyiwa OyebolaMedical Research Council Unit of The London School of Hygiene and Tropical Medicine, Bakau, The Gambia. oyebolakolapo@yahoo.com.ORCID 0000-0002-1003-2570
Oluwagbemiga Olanrewaju AinaMalaria Research Group, Nigerian Institute of Medical Research, Lagos, Nigeria.
Emmanuel Taiwo IdowuParasitology and Bioinformatics, Department of Zoology, Faculty of Science, University of Lagos, Lagos, Nigeria.
Yetunde Adeola OlukosiParasitology and Bioinformatics, Department of Zoology, Faculty of Science, University of Lagos, Lagos, Nigeria.
Olusola Sunday AjibayeMalaria Research Group, Nigerian Institute of Medical Research, Lagos, Nigeria.
Olubunmi Adetoro OtubanjoParasitology and Bioinformatics, Department of Zoology, Faculty of Science, University of Lagos, Lagos, Nigeria.
Taiwo Samson AwololaMalaria Research Group, Nigerian Institute of Medical Research, Lagos, Nigeria.
Gordon Akanzuwine AwandareWest African Centre for Cell Biology of Infectious Pathogens, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana.
Alfred Amambua-NgwaMedical Research Council Unit of The London School of Hygiene and Tropical Medicine, Bakau, The Gambia.
Nigerian Institute of Medical Research · NGUniversity of Lagos · NGUniversity of Ghana · GHMRC Unit the Gambia · GM

Funding

DELTAS Africa grant DEL-15-007: AwandareMedical Research Council MC_EX_MR/K02440X/1Wellcome TrustWellcome Trust 107755/Z/15/ZZ: Awandare
6 · The paper itself

Abstract

backgroundThe decline in the efficacy of artemisinin-based combination treatment (ACT) in some endemic regions threatens the progress towards global elimination of malaria. Molecular surveillance of drug resistance in malaria-endemic regions is vital to detect the emergence and spread of mutant strains.

methodsWe observed 89 malaria patients for the efficacy of artemether-lumefantrine for the treatment of uncomplicated Plasmodium falciparum infections in Lagos, Nigeria and determined the prevalence of drug resistant strains in the population. Parasite clearance rates were determined by microscopy and the highly sensitive var gene acidic terminal sequence (varATS) polymerase chain reaction for 65 patients with samples on days 0, 1, 3, 7, 14, 21 and 28 after commencement of treatment. The genomic finger print of parasite DNA from pre- and post-treatment samples were determined using 24 nuclear single nucleotide polymorphisms (SNP) barcode for P. falciparum. Drug resistance associated alleles in chloroquine resistance transporter gene (crt-76), multidrug resistance genes (mdr1-86 and mdr1-184), dihydropteroate synthase (dhps-540), dihydrofolate reductase (dhfr-108) and kelch domain (K-13580) were genotyped by high resolution melt analysis of polymerase chain reaction (PCR) fragments.

resultsBy varATS qPCR, 12 (18.5%) of the participants had detectable parasite DNA in their blood three days after treatment, while eight (12.3%) individuals presented with genotypable day 28 parasitaemia. Complexity of infection (CoI) was 1.30 on day 0 and 1.34 on day 28, the mean expected heterozygosity (H

conclusionsPersistence of DNA-detectable parasitaemia in more than 18% of cases after treatment and indications of genetic relatedness between pre- and post-treatment infections warrants further investigation of a larger population for signs of reduced ACT efficacy in Nigeria.

Indexed as

DNA Barcoding, TaxonomicAdolescentAdultAgedAllelesAntimalarialsArtemetherChildChild, PreschoolDihydropteroate SynthaseDNA, ProtozoanDrug CombinationsDrug ResistanceFemaleGenotypeHumansAntimalarialsArtemetherDihydropteroate SynthaseDNA, ProtozoanDrug CombinationsLumefantrineArtemisinin-based combinationDrug resistanceGenetic relatednessParasite clearanceResidual parasitaemiaSNP barcode

Identifiers

PMID30103683
PMCPMC6205152
OpenAlexW2885301399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.