Evidence map›Paper›PMID 40987816›Full record

ArticleScientific reports2025

Scalable and cost-effective methods for xenomonitoring of P. falciparum and antimalarial drug resistance validated with laboratory and wild-caught mosquitoes.

Dario Anvari, Janvier Bandibabone, Andreas A Kudom, Andreas Wieser, Esto Bahizire, Frank P Mockenhaupt, Welmoed van Loon

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Dario AnvariInstitute of International Health, Charité Center for Global Health, Charité - Universitaetsmedizin Berlin, Berlin, Germany.
Janvier BandibaboneLaboratoire d'Entomologie Médicale et Parasitologie, Centre de Recherche en Sciences Naturelles (CRSN/Lwiro), Bukavu, Democratic Republic of the Congo.
Andreas A KudomDepartment of Conservation Biology and Entomology, University of Cape Coast, Cape Coast, Ghana.
Andreas WieserInstitute of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Esto BahizireCenter for Tropical Diseases and Global Health, Catholic University of Bukavu, Bukavu, DR, Congo.
Frank P MockenhauptInstitute of International Health, Charité Center for Global Health, Charité - Universitaetsmedizin Berlin, Berlin, Germany.
Welmoed van LoonInstitute of International Health, Charité Center for Global Health, Charité - Universitaetsmedizin Berlin, Berlin, Germany. welmoed.van-loon@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human blood samples serve as the gold standard for molecular surveillance of the malaria parasite Plasmodium falciparum. However, these samples may not accurately reflect the parasite population and come with logistical constraints and ethical requirements. Using blood-fed mosquitoes as a sample basis could overcome these challenges. We developed and validated DNA extraction methods and PCR assays, allowing for P. falciparum detection from whole mosquitoes and sequencing of drug resistance genes. PCRs were consistently positive on mosquito samples mimicking field conditions, i.e., with low P. falciparum infection (2000× dilution of a single oocyst-infected mosquito) or after a blood-meal with low parasitemia (250× dilution of 1% parasite density). Antimalarial drug resistance genes PfK13 and PfMDR1 could be sequenced from these samples, and markers of resistance could be detected in samples reflecting a mutated minority parasite population of ≥ 25%. Pools of 20 mosquitoes allowed for the detection of a single infected mosquito. We applied our protocol on 50 field-caught Anopheles mosquitoes from DR Congo. Five out of eight mosquito pools were P. falciparum positive, providing good sequencing reads for PfK13 and PfMDR1. Our presented method has the potential to facilitate surveillance, e.g., on drug resistance, leveraging the promising properties of xenomonitoring.

Indexed as

AnophelesAntimalarialsDrug ResistanceMalaria, FalciparumPlasmodium falciparumAnimalsCost-Benefit AnalysisDNA, ProtozoanHumansMosquito VectorsPolymerase Chain ReactionAntimalarialsDNA, ProtozoanAntimalarial drug resistanceMolecular surveillanceXenosurveillance

Identifiers

PMID40987816
PMCPMC12457581

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.