Evidence map›Paper›PMID 30833657›Full record

ArticleScientific reports2019

Longitudinal tracking and quantification of individual Plasmodium falciparum clones in complex infections.

Anita Lerch, Cristian Koepfli, Natalie E Hofmann, Johanna H Kattenberg, Anna Rosanas-Urgell, Inoni Betuela, Ivo Mueller, Ingrid Felger

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 5 institutions in 6 countries.

Anita LerchSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0003-3062-5901
Cristian KoepfliWalter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Natalie E HofmannSwiss Tropical and Public Health Institute, Basel, Switzerland.
Johanna H KattenbergPapua New Guinea Institute of Medical Research, Madang, Papua New Guinea.
Anna Rosanas-UrgellPapua New Guinea Institute of Medical Research, Madang, Papua New Guinea.
Inoni BetuelaPapua New Guinea Institute of Medical Research, Madang, Papua New Guinea.
Ivo MuellerWalter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Ingrid FelgerSwiss Tropical and Public Health Institute, Basel, Switzerland. ingrid.felger@unibas.ch.
Instituut voor Tropische Geneeskunde · BESwiss Tropical and Public Health Institute · CHUniversity of Notre Dame · USInstitut Pasteur · FRPapua New Guinea Institute of Medical Research · PG

Funding

Understanding, tracking and eliminating malaria transmission in the Asia - Pacific RegionU19AI129392 · NIAID · WALTER AND ELIZA HALL INST MEDICAL RES · PI Ivo J Mueller, Leanne Robinson · 2017 to 2026
$7.1M
NIAID NIH HHS U19 AI129392
6 · The paper itself

Abstract

Longitudinal tracking of individual Plasmodium falciparum strains in multi-clonal infections is essential for investigating infection dynamics of malaria. The traditional genotyping techniques did not permit tracking changes in individual clone density during persistent natural infections. Amplicon deep sequencing (Amp-Seq) offers a tool to address this knowledge gap. The sensitivity of Amp-Seq for relative quantification of clones was investigated using three molecular markers, ama1-D2, ama1-D3, and cpmp. Amp-Seq and length-polymorphism based genotyping were compared for their performance in following minority clones in longitudinal samples from Papua New Guinea. Amp-Seq markers were superior to length-polymorphic marker msp2 in detecting minority clones (sensitivity Amp-Seq: 95%, msp2: 85%). Multiplicity of infection (MOI) by Amp-Seq was 2.32 versus 1.73 for msp2. The higher sensitivity had no effect on estimates of force of infection because missed minority clones were detected in preceding or succeeding bleeds. Individual clone densities were tracked longitudinally by Amp-Seq despite MOI > 1, thus providing an additional parameter for investigating malaria infection dynamics. Amp-Seq based genotyping of longitudinal samples improves detection of minority clones and estimates of MOI. Amp-Seq permits tracking of clone density over time to study clone competition or the dynamics of specific, i.e. resistance-associated genotypes.

Indexed as

AnimalsChild, PreschoolCohort StudiesGenotypeHumansInfantLongitudinal StudiesMalaria, FalciparumPlasmodium falciparum

Identifiers

PMID30833657
PMCPMC6399284
OpenAlexW2919223672

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.