Evidence map›Paper›PMID 25861387›Full record

ArticleEvolutionary applications2015

Understanding genetic variation in in vivo tolerance to artesunate: implications for treatment efficacy and resistance monitoring.

Laura C Pollitt, Derek Sim, Rahel Salathé, Andrew F Read

Abstract read
In one paragraph

Article in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Predicting optimal transmission investment in malaria parasites.Evolution; international journal of organic evolution · 2016
    Article
  5. Article
  6. Article
  7. Within-host dynamics of infection: from ecological insights to evolutionary predictions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  8. Article
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

4 authors.

Laura C PollittCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University University Park, PA, USA ; Centre for Immunity, Infection and Evolution, University of Edinburgh Edinburgh, UK.
Derek SimCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University University Park, PA, USA.
Rahel SalathéCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University University Park, PA, USA.
Andrew F ReadCenter for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University University Park, PA, USA ; Department of Entomology, The Pennsylvania State University University Park, PA, USA ; Fogarty International Center, National Institutes of Health Bethesda, MD, USA.

Funding

Within Host Selection of P. falciparum Variants by Artemisinin Combination TherapR01AI089819 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JULIANO, JONATHAN J · 2010 to 2014
$1.9M
The evolutionary biology of chemotherapy against infectious agents: towards ratiR01GM089932 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2010 to 2013
$1.1M
NIAID NIH HHS R01 AI089819NIGMS NIH HHS R01 GM089932Wellcome Trust 095831
6 · The paper itself

Abstract

Artemisinin-based drugs are the front-line weapon in the treatment of human malaria cases, but there is concern that recent reports of slow clearing infections may signal developing resistance to treatment. In the absence of molecular markers for resistance, current efforts to monitor drug efficacy are based on the rate at which parasites are cleared from infections. However, some knowledge of the standing variation in parasite susceptibility is needed to identify a meaningful increase in infection half-life. Here, we show that five previously unexposed genotypes of the rodent malaria parasite Plasmodium chabaudi differ substantially in their in vivo response to treatment. Slower clearance rates were not linked to parasite virulence or growth rate, going against the suggestion that drug treatment will drive the evolution of virulence in this system. The level of variation observed here in a relatively small number of genotypes suggests existing 'resistant' parasites could be present in the population and therefore, increased parasite clearance rates could represent selection on pre-existing variation rather than de novo resistance events. This has implications for resistance monitoring as susceptibility may depend on evolved traits unrelated to drug exposure.

Indexed as

artemisininclearance ratesdrug resistancegenetic variationmalariaPlasmodium chabaudi

Identifiers

PMID25861387
PMCPMC4380923

What OpenQuestion holds

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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.