Evidence map›Paper›PMID 23720790›Full record

ArticleJournal of clinical microbiology2013

Optimization of a ligase detection reaction-fluorescent microsphere assay for characterization of resistance-mediating polymorphisms in African samples of Plasmodium falciparum.

Norbert P LeClair, Melissa D Conrad, Frederick N Baliraine, Christian Nsanzabana, Samuel L Nsobya, Philip J Rosenthal

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  4. Changing Antimalarial Drug Sensitivities in Uganda.Antimicrobial agents and chemotherapy · 2017
    Trial
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  11. Diagnosing the drug resistance signature inJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021
    Review
  12. Drug susceptibility ofThe Lancet. Microbe · 2021
    Article
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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

6 authors at 2 institutions in 2 countries.

Norbert P LeClairDepartment of Medicine, University of California, San Francisco, California, USA.
Melissa D Conrad
Frederick N Baliraine
Christian Nsanzabana
Samuel L Nsobya
Philip J Rosenthal
University of California, San Francisco · USMakerere University · UG

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Microbial Pathogenesis and Host DefenseT32AI060537 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joanne N. Engel · 2004 to 2026
$6.5M
NIAID NIH HHS AI089674NIAID NIH HHS T32 AI060537NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

Genetic polymorphisms in the malaria parasite Plasmodium falciparum mediate alterations in sensitivity to important antimalarial drugs. Surveillance for these polymorphisms is helpful in assessing the prevalence of drug resistance and designing strategies for malaria control. Multiple methods are available for the assessment of P. falciparum genetic polymorphisms, but they suffer from low throughput, technical limitations, and high cost. We have optimized and tested a multiplex ligase detection reaction-fluorescent microsphere (LDR-FM) assay for the identification of important P. falciparum genetic polymorphisms. For 84 clinical samples from Kampala, Uganda, a region where both transmission intensity and infection complexity are high, DNA was extracted from dried blood spots, genes of interest were amplified, amplicons were subjected to multiplex ligase detection reactions to add bead-specific oligonucleotides and biotin, fragments were hybridized to magnetic beads, and polymorphism prevalences were assessed fluorometrically in a multiplex format. A total of 19 alleles from the pfcrt, pfmdr1, pfmrp1, pfdhfr, and pfdhps genes were analyzed by LDR-FM and restriction fragment length polymorphism (RFLP) analyses. Considering samples with results from the two assays, concordance between the assays was good, with 78 to 100% of results identical at individual alleles, most nonconcordant results differing only between a mixed and pure genotype call, and full disagreement at individual alleles in only 0 to 3% of results. We estimate that the LDR-FM assay offers much higher throughput and lower cost than RFLP. Our results suggest that the LDR-FM system offers an accurate high-throughput means of classifying genetic polymorphisms in field samples of P. falciparum.

Indexed as

Drug ResistancePolymorphism, GeneticAntimalarialsBloodHigh-Throughput Screening AssaysHumansLigasesMalaria, FalciparumMicrospheresMolecular Diagnostic TechniquesParasitic Sensitivity TestsPlasmodium falciparumUgandaAntimalarialsLigases

Identifiers

PMID23720790
PMCPMC3719660
OpenAlexW2164825802

What OpenQuestion holds

Textmetadata
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.