Evidence map›Paper›PMID 35365711›Full record

ArticleScientific reports2022

Comparative analysis of targeted next-generation sequencing for Plasmodium falciparum drug resistance markers.

Chanon Kunasol, Arjen M Dondorp, Elizabeth M Batty, Vorthunju Nakhonsri, Puritat Sinjanakhom, Nicholas P J Day, Mallika Imwong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

7 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

7 authors at 4 institutions in 2 countries.

Chanon KunasolDepartment of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Rd., Bangkok, 10400, Thailand.
Arjen M DondorpMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Elizabeth M BattyMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Vorthunju NakhonsriNational Biobank of Thailand (NBT), National Science and Technology Development Agency (NSTDA), 144 Innovation Cluster 2 Building (INC) Tower A, Thailand Science Park, Khlong Nueng, Khlong Luang District, Pathum Thani, Thailand.
Puritat SinjanakhomDepartment of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Rd., Bangkok, 10400, Thailand.
Nicholas P J DayMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Mallika ImwongDepartment of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, 420/6 Rajvithi Rd., Bangkok, 10400, Thailand. noi@tropmedres.ac.
Mahidol University · THMahidol Oxford Tropical Medicine Research Unit · THNational Science and Technology Development Agency · THUniversity of Oxford · GB

Funding

Wellcome TrustWellcome Trust 220211
6 · The paper itself

Abstract

Well-defined molecular resistance markers are available for a range of antimalarial drugs, and molecular surveillance is increasingly important for monitoring antimalarial drug resistance. Different genotyping platforms are available, but these have not been compared in detail. We compared Targeted Amplicon Deep sequencing (TADs) using Ion Torrent PGM with Illumina MiSeq for the typing of antimalarial drug resistance genes. We developed and validated protocols to type the molecular resistance markers pfcrt, pfdhfr, pfdhps, pfmdr1, pfkelch, and pfcytochrome b, in Plasmodium falciparum for the Ion Torrent PGM and Illumina MiSeq sequencing platforms. With P. falciparum 3D7 and K1 as reference strains, whole blood samples (N = 20) and blood spots from Rapid Diagnostic Test (RDT) samples (N = 5) from patients with uncomplicated falciparum malaria from Ubon Ratchathani were assessed on both platforms and compared for coverage (average reads per amplicon), sequencing accuracy, variant accuracy, false positive rate, false negative rate, and alternative allele detection, with conventional Sanger sequencing as the reference method for SNP calling. Both whole blood and RDT samples could be successfully sequenced using the Ion Torrent PGM and Illumina MiSeq platforms. Coverage of reads per amplicon was higher with Illumina MiSeq (28,886 reads) than with Ion Torrent PGM (1754 reads). In laboratory generated artificial mixed infections, the two platforms could detect the minor allele down to 1% density at 500X coverage. SNPs calls from both platforms were in complete agreement with conventional Sanger sequencing. The methods can be multiplexed with up to 96 samples per run, which reduces cost by 86% compared to conventional Sanger sequencing. Both platforms, using the developed TAD protocols, provide an accurate method for molecular surveillance of drug resistance markers in P. falciparum, but Illumina MiSeq provides higher coverage than Ion Torrent PGM.

Indexed as

Malaria, FalciparumPlasmodium falciparumDrug ResistanceHigh-Throughput Nucleotide SequencingHumansThailand

Identifiers

PMID35365711
PMCPMC8974807
OpenAlexW4225468405

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.