Evidence map›Paper›PMID 35773735›Full record

ArticleParasites & vectors2022

Enhanced procedures for mosquito identification by MALDI-TOF MS.

Roland Bamou, Monique Melo Costa, Adama Zan Diarra, Ademir Jesus Martins, Philippe Parola, Lionel Almeras

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. 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
3.5field-weighted citation impact, top 6% 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, 27 citations in OpenAlex.

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  10. Identification of NeotropicalTropical medicine and infectious disease · 2023
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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

6 authors at 4 institutions in 2 countries.

Roland Bamou *Aix-Marseille Univ., IRD, SSA, AP-HM, VITROME, Marseille, France.
Monique Melo Costa *Aix-Marseille Univ., IRD, SSA, AP-HM, VITROME, Marseille, France.
Adama Zan DiarraAix-Marseille Univ., IRD, SSA, AP-HM, VITROME, Marseille, France.
Ademir Jesus MartinsLaboratório de Fisiologia e Controle de Artrópodes Vetores, Instituto Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, RJ, Brazil.
Philippe ParolaAix-Marseille Univ., IRD, SSA, AP-HM, VITROME, Marseille, France.
Lionel AlmerasAix-Marseille Univ., IRD, SSA, AP-HM, VITROME, Marseille, France. almeras.lionel@gmail.com.
Méditerranée Infection Foundation · FRAix-Marseille Université · FRInstitut de Recherche pour le Développement · FRInstituto Nacional de Ciência e Tecnologia em Entomologia Molecular · BR

Funding

Délégation Générale pour l'Armement (DGA, MSProfileR project) PDH-2-NRBC-2-B-2201
6 · The paper itself

Abstract

backgroundIn the last decade, an innovative approach has emerged for arthropod identification based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Increasing interest in applying the original technique for arthropod identification has led to the development of a variety of procedures for sample preparation and selection of body parts, among others. However, the absence of a consensual strategy hampers direct inter-study comparisons. Moreover, these different procedures are confusing to new users. Establishing optimized procedures and standardized protocols for mosquito identification by MALDI-TOF MS is therefore a necessity, and would notably enable the sharing of reference MS databases. Here, we assess the optimal conditions for mosquito identification using MALDI-TOF MS profiling.

methodsThree homogenization methods, two of which were manual and one automatic, were used on three distinct body parts (legs, thorax, head) of two mosquito laboratory strains, Anopheles coluzzii and Aedes aegypti, and the results evaluated. The reproducibility of MS profiles, identification rate with relevant scores and the suitability of procedures for high-throughput analyses were the main criteria for establishing optimized guidelines. Additionally, the consequences of blood-feeding and geographical origin were evaluated using both laboratory strains and field-collected mosquitoes.

resultsRelevant score values for mosquito identification were obtained for all the three body parts assayed using MALDI-TOF MS profiling; however, the thorax and legs were the most suitable specimens, independently of homogenization method or species. Although the manual homogenization methods were associated with a high rate of identification on the three body parts, this homogenization mode is not adaptable to the processing of a large number of samples. Therefore, the automatic homogenization procedure was selected as the reference homogenization method. Blood-feeding status did not hamper the identification of mosquito species, despite the presence of MS peaks from original blood in the MS profiles of the three body parts tested from both species. Finally, a significant improvement in identification scores was obtained for field-collected specimens when MS spectra of species from the same geographical area were added to the database.

conclusionThe results of the current study establish guidelines for the selection of mosquito anatomic parts and modality of sample preparation (e.g. homogenization) for future specimen identification by MALDI-TOF MS profiling. These standardized operational protocols could be used as references for creating an international MS database.

Indexed as

AedesAnophelesAnimalsReproducibility of ResultsSpecimen HandlingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationMALDI-TOF MSMosquitoes identificationOptimizationStandardization

Identifiers

PMID35773735
PMCPMC9248115
OpenAlexW4283723596

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.