Evidence map›Paper›PMID 30390691›Full record

ArticleParasites & vectors2018

Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts.

Anubis Vega-Rúa, Nonito Pagès, Albin Fontaine, Christopher Nuccio, Lyza Hery, Daniella Goindin, Joel Gustave, Lionel Almeras

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

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  13. 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

8 authors at 5 institutions in 3 countries.

Anubis Vega-RúaLaboratory of Vector Control Research, Environment and Health Unit, Institut Pasteur de la Guadeloupe, 97183, Les Abymes, Guadeloupe, France. anubis.vega-rua@pasteur.fr.
Nonito PagèsCIRAD, UMR ASTRE, F-97170, Petit Bourg, Guadeloupe, France.
Albin FontaineUnité de Parasitologie et Entomologie, Département des Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, Marseille, France.
Christopher NuccioAix Marseille Université, INSERM, SSA, IRBA, MCT, 13005, Marseille, France.
Lyza HeryLaboratory of Vector Control Research, Environment and Health Unit, Institut Pasteur de la Guadeloupe, 97183, Les Abymes, Guadeloupe, France.
Daniella GoindinLaboratory of Vector Control Research, Environment and Health Unit, Institut Pasteur de la Guadeloupe, 97183, Les Abymes, Guadeloupe, France.
Joel GustaveVector Control Service of Guadeloupe, Regional Health Agency, Airport Zone South Raizet, 97139, Les Abymes, Guadeloupe, France.
Lionel AlmerasUnité de Parasitologie et Entomologie, Département des Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, Marseille, France.
Institut Pasteur de la Guadeloupe · GPAix-Marseille Université · FRAnimal, Santé, Territoires, Risques et Ecosystèmes · FRAssistance Publique Hôpitaux de Marseille · FRRegional Health · US

Funding

Délégation Générale pour l'Armement (DGA, MoSIS project) PDH-2-NRBC-2-B-2113FEDER grant, financed by the European Union and Guadeloupe Region (Programme Opérationnel FEDER-Guadeloupe-Conseil Régional 2014-2020) 2015-FED-192Vector Control Service of Health Regional Agency of Guadeloupe 11-2017
6 · The paper itself

Abstract

backgroundMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry technology (MALDI-TOF MS) is an innovative tool that has been shown to be effective for the identification of numerous arthropod groups including mosquitoes. A critical step in the implementation of MALDI-TOF MS identification is the creation of spectra databases (DB) for the species of interest. Mosquito legs were the body part most frequently used to create identification DB. However, legs are one of the most fragile mosquito compartments, which can put identification at risk. Here, we assessed whether mosquito thoraxes could also be used as a relevant body part for mosquito species identification using a MALDI-TOF MS biotyping strategy; we propose a double DB query strategy to reinforce identification success.

methodsThoraxes and legs from 91 mosquito specimens belonging to seven mosquito species collected in six localities from Guadeloupe, and two laboratory strains, Aedes aegypti BORA and Aedes albopictus Marseille, were dissected and analyzed by MALDI-TOF MS. Molecular identification using cox1 gene sequencing was also conducted on representative specimens to confirm their identification.

resultsMS profiles obtained with both thoraxes and legs were highly compartment-specific, species-specific and species-reproducible, allowing high identification scores (log-score values, LSVs) when queried against the in-house MS reference spectra DB (thorax LSVs range: 2.260-2.783, leg LSVs range: 2.132-2.753).

conclusionsBoth thoraxes and legs could be used for a double DB query in order to reinforce the success and accuracy of MALDI-TOF MS identification.

Indexed as

AedesAnimalsCulicidaeExtremitiesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationThoraxCulicidaeGuadeloupeIdentificationInnovative strategyMALDI-TOF MSMosquitoes

Identifiers

PMID30390691
PMCPMC6215610
OpenAlexW2898937080

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.