Evidence map›Paper›PMID 28546554›Full record

ArticleScientific reports2017

High throughput resistance profiling of Plasmodium falciparum infections based on custom dual indexing and Illumina next generation sequencing-technology.

Sidsel Nag, Marlene D Dalgaard, Poul-Erik Kofoed, Johan Ursing, Marina Crespo, Lee O'Brien Andersen, Frank Møller Aarestrup, Ole Lund, Michael Alifrangis

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–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

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

53 citing papers in PubMed.

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  16. Evolution of Plasmodium falciparum antimalarial drug resistance markers post-adoption of artemisinin-based combination therapies in Yaounde, Cameroon.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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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.

Sidsel NagCentre for Medical Parasitology, Department of International Health, Immunology and Microbiology, University of Copenhagen, 1356, Copenhagen K, Denmark. jassd_nf@hotmail.com.
Marlene D DalgaardDepartment of Systems Biology, Technical University of Denmark, Kemitorvet Building 208, 2800, Kgs. Lyngby, Denmark.
Poul-Erik KofoedDepartment of Paediatrics, Kolding Hospital, University of Southern Denmark, 6000, Kolding, Denmark.
Johan UrsingBandim Health Project, Bissau, Guinea-Bissau.
Marina CrespoCentre for Medical Parasitology, Department of International Health, Immunology and Microbiology, University of Copenhagen, 1356, Copenhagen K, Denmark.
Lee O'Brien AndersenDepartment of Microbiology and Infection Control, Statens Serum Institut, 2300, Copenhagen S, Denmark.
Frank Møller AarestrupNational Food Institute, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.
Ole LundDepartment of Systems Biology, Technical University of Denmark, Kemitorvet Building 208, 2800, Kgs. Lyngby, Denmark.
Michael AlifrangisCentre for Medical Parasitology, Department of International Health, Immunology and Microbiology, University of Copenhagen, 1356, Copenhagen K, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic polymorphisms in P. falciparum can be used to indicate the parasite's susceptibility to antimalarial drugs as well as its geographical origin. Both of these factors are key to monitoring development and spread of antimalarial drug resistance. In this study, we combine multiplex PCR, custom designed dual indexing and Miseq sequencing for high throughput SNP-profiling of 457 malaria infections from Guinea-Bissau, at the cost of 10 USD per sample. By amplifying and sequencing 15 genetic fragments, we cover 20 resistance-conferring SNPs occurring in pfcrt, pfmdr1, pfdhfr, pfdhps, as well as the entire length of pfK13, and the mitochondrial barcode for parasite origin. SNPs of interest were sequenced with an average depth of 2,043 reads, and bases were called for the various SNP-positions with a p-value below 0.05, for 89.8-100% of samples. The SNP data indicates that artemisinin resistance-conferring SNPs in pfK13 are absent from the studied area of Guinea-Bissau, while the pfmdr1 86 N allele is found at a high prevalence. The mitochondrial barcodes are unanimous and accommodate a West African origin of the parasites. With this method, very reliable high throughput surveillance of antimalarial drug resistance becomes more affordable than ever before.

Indexed as

Drug ResistanceHigh-Throughput Nucleotide SequencingAntimalarialsDNA, ProtozoanHumansMalaria, FalciparumMutationPlasmodium falciparumPolymorphism, Single NucleotidePrevalenceProtozoan ProteinsTetrahydrofolate DehydrogenaseAntimalarialsDHFR protein, Plasmodium falciparumDNA, ProtozoanProtozoan ProteinsTetrahydrofolate Dehydrogenase

Identifiers

PMID28546554
PMCPMC5445084

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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.