Evidence map›Paper›PMID 25007207›Full record

ArticlePloS one2014

A population genetic model for the initial spread of partially resistant malaria parasites under anti-malarial combination therapy and weak intrahost competition.

Yuseob Kim, Ananias A Escalante, Kristan A Schneider

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Evolutionary genetics of malaria.Frontiers in genetics · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Evolution and Genetic Diversity of theAntimicrobial agents and chemotherapy · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors at 3 institutions in 3 countries.

Yuseob KimDepartment of Life Science and Division of EcoScience, Ewha Womans University, Seoul, South Korea.
Ananias A EscalanteSchool of Life Sciences and Center for Evolutionary Medicine and Informatics at the Biodesign Institute, Arizona State University, Tempe, Arizona, United States of America.
Kristan A SchneiderDepartment of Mathematics, University of Applied Sciences, Mittweida, Germany.
Arizona State University · USEwha Womans University · KRHochschule Mittweida · DE

Funding

Vector Biology Research and Integrated Vector Management For Malaria ControlU19AI089702 · NIAID · CAUCASECO SCIENTIFIC RESEARCH CENTER · PI QUINONES, MARTHA · 2010 to 2016
$11.5M
A Global Comparative Study of the Evolution of Antimalarial Drug ResistanceR01GM084320 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ESCALANTE, ANANIAS ALBERTO · 2008 to 2011
$1.4M
NIAID NIH HHS 1U19AI089702NIAID NIH HHS U19 AI089702NIGMS NIH HHS R01 GM084320NIGMS NIH HHS R01GM084320
6 · The paper itself

Abstract

To develop public-health policies that extend the lifespan of affordable anti-malarial drugs as effective treatment options, it is necessary to understand the evolutionary processes leading to the origin and spread of mutations conferring drug resistance in malarial parasites. We built a population-genetic model for the emergence of resistance under combination drug therapy. Reproductive cycles of parasites are specified by their absolute fitness determined by clinical parameters, thus coupling the evolutionary-genetic with population-dynamic processes. Initial mutations confer only partial drug-resistance. Therefore, mutant parasites rarely survive combination therapy and within-host competition is very weak among parasites. The model focuses on the early phase of such unsuccessful recurrent mutations. This ends in the rare event of mutants enriching in an infected individual from which the successful spread of resistance over the entire population is initiated. By computer simulations, the waiting time until the establishment of resistant parasites is analysed. Resistance spreads quickly following the first appearance of a host infected predominantly by mutant parasites. This occurs either through a rare transmission of a resistant parasite to an uninfected host or through a rare failure of drugs in removing "transient" mutant alleles. The emergence of resistance is delayed with lower mutation rate, earlier treatment, higher metabolic cost of resistance, longer duration of high drug dose, and higher drug efficacy causing a stronger reduction in the sensitive and resistant parasites' fitnesses. Overall, contrary to other studies' proposition, the current model based on absolute fitness suggests that aggressive drug treatment delays the emergence of drug resistance.

Indexed as

Models, GeneticAnimalsAntimalarialsComputer SimulationCulicidaeDrug ResistanceDrug Therapy, CombinationGenes, ProtozoanGenetics, PopulationHost-Parasite InteractionsHumansInsect VectorsMalaria, FalciparumMutation RatePlasmodium falciparumPoisson DistributionAntimalarials

Identifiers

PMID25007207
PMCPMC4090191
OpenAlexW2080386375

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.