Evidence map›Paper›PMID 35030215›Full record

ArticlePloS one2022

Evaluation of a parasite-density based pooled targeted amplicon deep sequencing (TADS) method for molecular surveillance of Plasmodium falciparum drug resistance genes in Haiti.

Swarnali Louha, Camelia Herman, Mansi Gupta, Dhruviben Patel, Julia Kelley, Je-Hoon M Oh, Janani Guru, Jean F Lemoine, Michelle A Chang, Udhayakumar Venkatachalam and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Swarnali LouhaOak Ridge Institute for Science and Education, Oak Ridge, TN, United States of America.ORCID 0000-0002-0777-8507
Camelia HermanCenters for Disease Control and Prevention Foundation, Atlanta, GA, United States America.
Mansi GuptaOak Ridge Institute for Science and Education, Oak Ridge, TN, United States of America.
Dhruviben PatelWilliams Consulting LLC, Atlanta, GA, United States America.
Julia KelleyCenters for Disease Control and Prevention Foundation, Atlanta, GA, United States America.
Je-Hoon M OhOak Ridge Institute for Science and Education, Oak Ridge, TN, United States of America.
Janani GuruThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States America.
Jean F LemoineProgramme National de Contrôle de la Malaria, MSPP, Port-au-Prince, Haiti.
Michelle A ChangDivision of Parasitic Diseases and Malaria, Malaria Branch, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States America.
Udhayakumar VenkatachalamDivision of Parasitic Diseases and Malaria, Malaria Branch, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States America.
Eric RogierDivision of Parasitic Diseases and Malaria, Malaria Branch, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States America.
Eldin TalundzicDivision of Parasitic Diseases and Malaria, Malaria Branch, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States America.
Centers for Disease Control and Prevention · USOak Ridge Associated Universities · USGeorgia Institute of Technology · USUniversité Notre Dame d'Haïti · HT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing large numbers of individual samples is often needed for countrywide antimalarial drug resistance surveillance. Pooling DNA from several individual samples is an alternative cost and time saving approach for providing allele frequency (AF) estimates at a population level. Using 100 individual patient DNA samples of dried blood spots from a 2017 nationwide drug resistance surveillance study in Haiti, we compared codon coverage of drug resistance-conferring mutations in four Plasmodium falciparum genes (crt, dhps, dhfr, and mdr1), for the same deep sequenced samples run individually and pooled. Samples with similar real-time PCR cycle threshold (Ct) values (+/- 1.0 Ct value) were combined with ten samples per pool. The sequencing success for samples in pools were higher at a lower parasite density than the individual samples sequence method. The median codon coverage for drug resistance-associated mutations in all four genes were greater than 3-fold higher in the pooled samples than in individual samples. The overall codon coverage distribution for pooled samples was wider than the individual samples. The sample pools with < 40 parasites/μL blood showed more discordance in AF calls for dhfr and mdr1 between the individual and pooled samples. This discordance in AF estimation may be due to low amounts of parasite DNA, which could lead to variable PCR amplification efficiencies. Grouping samples with an estimated ≥ 40 parasites/μL blood prior to pooling and deep sequencing yielded the expected population level AF. Pooling DNA samples based on estimates of > 40 parasites/μL prior to deep sequencing can be used for rapid genotyping of a large number of samples for these four genes and possibly other drug resistant markers in population-based studies. As Haiti is a low malaria transmission country with very few mixed infections and continued chloroquine sensitivity, the pooled sequencing approach can be used for routine national molecular surveillance of resistant parasites.

Indexed as

AnimalsAntimalarialsDried Blood Spot TestingDrug ResistanceEpidemiological MonitoringHaitiHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysHumansMalariaMalaria, FalciparumNucleic Acid Amplification TechniquesParasitesPlasmodium falciparumPolymerase Chain ReactionSequence Analysis, DNAAntimalarials

Identifiers

PMID35030215
PMCPMC8759662
OpenAlexW4206580515

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.