Evidence map›Paper›PMID 38957296›Full record

ArticleWellcome open research2023

Utility of MALDI-TOF MS for determination of species identity and blood meal sources of primary malaria vectors on the Kenyan coast.

Jonathan Karisa, Kelly Ominde, Mercy Tuwei, Brian Bartilol, Zedekiah Ondieki, Harun Musani, Caroline Wanjiku, Kioko Mwikali, Lawrence Babu, Martin Rono and 6 more

Abstract read
In one paragraph

Article in Wellcome open research, 2023. 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
–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

11 citing papers in PubMed.

  1. Article
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  4. Temporal Variation and Human Host Predominance inPathogens (Basel, Switzerland) · 2025
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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

16 authors.

Jonathan KarisaKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0002-3383-6782
Kelly OmindeKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0003-4879-7664
Mercy TuweiKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.
Brian BartilolKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0002-8945-0002
Zedekiah OndiekiKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.
Harun MusaniKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.
Caroline WanjikuKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0003-3861-4190
Kioko MwikaliKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.
Lawrence BabuKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.
Martin RonoKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0002-7255-821X
Mumin EminovBruker Daltonik GmbH, Bremen, Germany.
Charles MbogoKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0001-5335-6551
Philip BejonKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0002-2135-7549
Joseph MwangangiKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.
Maureen LarocheThe University of Texas Medical Branch -, Galveston National Laboratory 301 University Blvd, Texas, Galveston TX 77555-1019, USA.
Marta MaiaKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya, 230-80108, Kenya.ORCID https://orcid.org/0000-0003-3302-5610

Funding

EPA EP-C-15-003Wellcome Trust
6 · The paper itself

Abstract

Background: Protein analysis using matrix-assisted laser desorption/ionisation time-of-flight mass-spectrometry (MALDI-TOF MS) represents a promising tool for entomological surveillance. In this study we tested the discriminative power of this tool for measuring species and blood meal source of main Afrotropical malaria vectors on the Kenyan coast. Methods: Mosquito collections were conducted along the coastal region of Kenya. MALDI-TOF MS spectra were obtained from each individual mosquito's cephalothorax as well as the abdomens of blood-engorged mosquitoes. The same mosquitoes were also processed using gold standard tests: polymerase chain reaction (PCR) for species identification and enzyme linked immunosorbent assay (ELISA) for blood meal source identification. Results: Of the 2,332 mosquitoes subjected to MALDI-TOF MS, 85% (1,971/2,332) were considered for database creation and validation. There was an overall accuracy of 97.5% in the identification of members of the Conclusions: This study provides further evidence of the discriminative power of MALDI-TOF MS to identify sibling species and blood meal source of Afrotropical malaria vectors, further supporting its utility in entomological surveillance. The low cost per sample (<0.2USD) and high throughput nature of the method represents a cost-effective alternative to molecular methods and could enable programs to increase the number of samples analysed and therefore improve the data generated from surveillance activities.

Indexed as

AnophelesCoastentomological surveillancehigh-throughputKenyaMALDI-TOF MSmass spectrometry

Identifiers

PMID38957296
PMCPMC11217722

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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.