Evidence map›Paper›PMID 40328951›Full record

ArticleScientific reports2025

Age structure and parity status determination of Afrotropical malaria vectors using MALDI-TOF MS.

Mercy Tuwei, Jonathan Karisa, Caroline Kiuru, Zedekiah Ondieki, Tobias Odongo, Martha Muturi, Festus Mure, Bruno Otieno, Miguel Okoko, Brian Bartilol and 16 more

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

26 authors.

Mercy TuweiKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya. mercytuweij@gmail.com.
Jonathan KarisaKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.
Caroline KiuruCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Zedekiah OndiekiKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.
Tobias OdongoKEMRI-CGMR Coast, Kilifi, Kenya.
Martha MuturiKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.
Festus MureKEMRI-CGMR Coast, Kilifi, Kenya.
Bruno OtienoKEMRI-CGMR Coast, Kilifi, Kenya.
Miguel OkokoKEMRI-CGMR Coast, Kilifi, Kenya.
Brian BartilolKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.
Rehema GonaKEMRI-CGMR Coast, Kilifi, Kenya.
Kelly OmindeKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.
Luis ConstantinoCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Gildo ColeCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Trisa AnastácioCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Baltazar CandrinhoNational Malaria Control Program, Maputo, Mozambique.
Romário ArmaziaCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Claudia AlvesCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Edith RamaitaNational Malaria Control Program, Ministry of Health, Nairobi, Kenya.
Martin RonoKEMRI-CGMR Coast, Kilifi, Kenya.
Joseph MwangangiKEMRI-CGMR Coast, Kilifi, Kenya.
Charles MbogoKEMRI-CGMR Coast, Kilifi, Kenya.
Francisco SauteCentro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.
Carlos ChaccourISGlobal, Carrer Roselló 132, 08036, Barcelona, Spain.
Caroline WanjikuKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.
Marta MaiaKenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya. mmaia@kemri-wellcome.org.

Funding

Bill and Melinda Gates Foundation ID INV-057212
6 · The paper itself

Abstract

The age structure of a mosquito population helps estimate the proportion of vectors capable of transmitting malaria. Many malaria transmission models rely on mosquito longevity as key parameter. However, these are rarely measured in the field due to lack of a reliable and scalable age-grading method. An accurate method could improve predictions of malaria risk and the impact assessment of interventions. This study aimed to investigate the use of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) for malaria vector age-grading using insectary-reared and wild-caught mosquitoes. Anopheles gambiae s.s. mosquitoes were reared in the insectary to different known physiological and chronological ages to evaluate if MALDI-TOF MS could be used to distinguish between different age groups. Wild mosquitoes were collected from Mozambique and Kenya and dissected to determine their parity status. Reference spectra were obtained from mosquito's cephalothorax and used to create predictive databases which were validated using independent samples. MALDI-TOF MS identified the physiological and chronological age of insectary-reared mosquitoes with 94.52% and 77% accuracy respectively. Field-collected mosquitoes were primarily An. funestus s.s. and An. gambiae s.s. Parity prediction accuracy was between 81% and 87%. MALDI-TOF MS was able to distinguish and differentiate mosquitoes based on their age structure (chronological and physiological) and parity status.

Indexed as

AnophelesMalariaMosquito VectorsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsFemaleKenyaMozambiqueParityAge-gradingAn. funestus s.s.Anopheles gambiae s.s.DetinovaMALDI-TOF MSParity

Identifiers

PMID40328951
PMCPMC12055968

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Registered trials

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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.