Evidence map›Paper›PMID 29247222›Full record

ArticleScientific reports2017

Modelling mosquito infection at natural parasite densities identifies drugs targeting EF2, PI4K or ATP4 as key candidates for interrupting malaria transmission.

Koen J Dechering, Hans-Peter Duerr, Karin M J Koolen, Geert-Jan van Gemert, Teun Bousema, Jeremy Burrows, Didier Leroy, Robert W Sauerwein

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Targeting elongation factor 2 inFrontiers in insect science · 2026
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  11. The Nitrobenzoxadiazole Derivative NBDHEX Behaves asPharmaceuticals (Basel, Switzerland) · 2022
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  12. Adapt or Die: Targeting Unique Transmission-Stage Biology for Malaria Elimination.Frontiers in cellular and infection microbiology · 2022
    Review
  13. Article
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  15. Article
  16. 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

8 authors at 3 institutions in 2 countries.

Koen J DecheringTropIQ Health Sciences, Transistorweg 5-C02, 6534AT, Nijmegen, The Netherlands. k.dechering@tropiq.nl.
Hans-Peter DuerrNumerus Limited, Hans-Sahl-Straße 2, 72074, Tübingen, Germany.ORCID 0000-0001-7289-6019
Karin M J KoolenTropIQ Health Sciences, Transistorweg 5-C02, 6534AT, Nijmegen, The Netherlands.
Geert-Jan van GemertRadboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Teun BousemaRadboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Jeremy BurrowsMedicines for Malaria Venture, Route de Pré-Bois 20, 1215, Geneva, 15, Switzerland.
Didier LeroyMedicines for Malaria Venture, Route de Pré-Bois 20, 1215, Geneva, 15, Switzerland.
Robert W SauerweinTropIQ Health Sciences, Transistorweg 5-C02, 6534AT, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLMedicines for Malaria Venture · CHTropIQ Health Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eradication of malaria requires a novel type of drug that blocks transmission from the human to the mosquito host, but selection of such a drug is hampered by a lack of translational models. Experimental mosquito infections yield infection intensities that are substantially higher than observed in natural infections and, as a consequence, underestimate the drug effect on the proportion of mosquitoes that become infected. Here we introduce a novel experimental and computational method to adequately describe drug efficacy at natural parasite densities. Parameters of a beta-binomial infection model were established and validated using a large number of experimental mosquito infections at different parasite densities. Analyses of 15 experimental and marketed drugs revealed a class-specific ability to block parasite transmission. Our results highlight the parasite's elongation factor EF2, PI4 kinase and the ATP4 sodium channel as key targets for interruption of transmission, and compounds DDD107498 and KAE609 as most advanced drug candidates.

Indexed as

AnimalsAntiparasitic AgentsCulicidaeMalaria, FalciparumParasitesPeptide Elongation FactorsSodium ChannelsAntiparasitic AgentsPeptide Elongation FactorsSodium Channels

Identifiers

PMID29247222
PMCPMC5732164
OpenAlexW2771861976

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.