Evidence map›Paper›PMID 25411169›Full record

ArticleJournal of clinical microbiology2015

Comparison of matrix-assisted laser desorption ionization-time of flight mass spectrometry and molecular biology techniques for identification of Culicoides (Diptera: ceratopogonidae) biting midges in senegal.

Masse Sambou, Maxence Aubadie-Ladrix, Florence Fenollar, Becaye Fall, Hubert Bassene, Lionel Almeras, Bissoume Sambe-Ba, Nadine Perrot, Sonia Chatellier, Ngor Faye and 4 more

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
12.3field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

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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

14 authors at 7 institutions in 2 countries.

Masse SambouUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal UCAD, Dakar, Senegal.
Maxence Aubadie-LadrixUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal.
Florence FenollarUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal.
Becaye FallHôpital Principal, Dakar, Senegal.
Hubert BasseneUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal.
Lionel AlmerasUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal.
Bissoume Sambe-BaUCAD, Dakar, Senegal.
Nadine PerrotbioMérieux, La Balme-Les-Grottes, France.
Sonia ChatellierbioMérieux, La Balme-Les-Grottes, France.
Ngor FayeUCAD, Dakar, Senegal.
Philippe ParolaUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal.
Boubacar WadeHôpital Principal, Dakar, Senegal.
Didier RaoultUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal.
Oleg MediannikovUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Institut Hospitalo-Universitaire Méditerranée-Infection, Aix-Marseille Université, Marseille, France, and Dakar, Senegal olegusss1@gmail.com.
Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes · FRAix-Marseille Université · FRbioMérieux (France) · FRCentre National de la Recherche Scientifique · FRCheikh Anta Diop University · SNHôpital Principal de Dakar · SNInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biting midges of the genus Culicoides are implicated as vectors for a wide variety of pathogens. The morphological identification of these arthropods may be difficult because of a lack of detailed investigation of taxonomy for this species in Africa. However, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) profiling is efficient for arthropod identification at the species level. This study established a spectrum database of Culicoides spp. from Senegal using MALDI-TOF. Identification of Culicoides insects to the species level before mass spectrometry was performed on the basis of morphological characters. MALDI-TOF MS reference spectra were determined for 437 field-caught Culicoides of 10 species. The protein profiles of all tested Culicoides revealed several peaks with mass ranges of 2 to 20 kDa. In a validation study, 72 Culicoides specimens in the target species were correctly identified at the species level with a similarity of 95 to 99.9%. Four Culicoides protein profiles were misidentified. Nevertheless, six SuperSpectra (C. imicola, C. enderleini, C. oxystoma, C. kingi, C. magnus, and C. fulvithorax) were created. Abdomens of midges were used to amplify and sequence a portion of the mitochondrial cytochrome oxidase I gene (COI). The results obtained using the MALDI-TOF MS method were consistent with the morphological identification and similar to the genetic identification. Protein profiling using MALDI-TOF is an efficient approach for the identification of Culicoides spp., and it is economically advantageous for approaches that require detailed and quantitative information of vector species that are collected in field. The database of African Culicoides MS spectra created is the first database in Africa. The COI sequences of five Culicoides species that were previously noncharacterized using molecular methods were deposited in GenBank.

Indexed as

AnimalsCeratopogonidaeElectron Transport Complex IVEntomologyFemaleMaleMitochondriaMolecular Diagnostic TechniquesSenegalSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationElectron Transport Complex IV

Identifiers

PMID25411169
PMCPMC4298552
OpenAlexW2158613591

What OpenQuestion holds

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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.