Evidence map›Paper›PMID 25957576›Full record

ArticleParasites & vectors2015

Identification of phlebotomine sand flies using one MALDI-TOF MS reference database and two mass spectrometer systems.

Alexander Mathis, Jérôme Depaquit, Vit Dvořák, Holly Tuten, Anne-Laure Bañuls, Petr Halada, Sonia Zapata, Véronique Lehrter, Kristýna Hlavačková, Jorian Prudhomme and 5 more

Abstract readValidation Study
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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

15 authors.

Alexander MathisSwiss National Centre for Vector Entomology, Institute of Parasitology, University of Zürich, Winterthurerstrasse 266a, 8057, Zürich, Switzerland. alexander.mathis@uzh.ch.
Jérôme DepaquitUniversité de Reims Champagne-Ardenne, ANSES, EA4688 - USC "transmission vectorielle et épidémiosurveillance de maladies parasitaires (VECPAR)", SFR Cap Santé, 51, rue Cognacq-Jay, 51096, Reims, France. jerome.depaquit@univ-reims.fr.
Vit DvořákDepartment of Parasitology, Faculty of Sciences, Charles University in Prague, Vinicna 7, 128 44, Prague 2, Czech Republic. icejumper@seznam.cz.
Holly TutenSwiss National Centre for Vector Entomology, Institute of Parasitology, University of Zürich, Winterthurerstrasse 266a, 8057, Zürich, Switzerland. htuten@gmail.com.
Anne-Laure BañulsMIVEGEC, UMR CNRS-IRD-Université de Montpellier Centre IRD, 911 Avenue Agropolis, BP 64501, , Cedex 34394, Montpellier, France. anne-laure.banuls@ird.fr.
Petr HaladaLaboratory of Molecular Structure Characterization, Institute of Microbiology, The Czech Academy of Sciences, Videnska 1083, 142 20, Prague 4, Czech Republic. halada@biomed.cas.cz.
Sonia ZapataInstituto de Microbiología, Universidad San Francisco de Quito, Diego de Robles S/N, Quito, Ecuador. szapata@usfq.edu.ec.
Véronique LehrterUniversité de Reims Champagne-Ardenne, ANSES, EA4688 - USC "transmission vectorielle et épidémiosurveillance de maladies parasitaires (VECPAR)", SFR Cap Santé, 51, rue Cognacq-Jay, 51096, Reims, France. veronique.lehrter@univ-reims.fr.
Kristýna HlavačkováDepartment of Parasitology, Faculty of Sciences, Charles University in Prague, Vinicna 7, 128 44, Prague 2, Czech Republic. hlavackova.k@centrum.cz.
Jorian PrudhommeMIVEGEC, UMR CNRS-IRD-Université de Montpellier Centre IRD, 911 Avenue Agropolis, BP 64501, , Cedex 34394, Montpellier, France. Jorian.Prudhomme@hotmail.fr.
Petr VolfDepartment of Parasitology, Faculty of Sciences, Charles University in Prague, Vinicna 7, 128 44, Prague 2, Czech Republic. volf@cesnet.cz.
Denis SerenoMIVEGEC, UMR CNRS-IRD-Université de Montpellier Centre IRD, 911 Avenue Agropolis, BP 64501, , Cedex 34394, Montpellier, France. denis.sereno@ird.fr.
Christian KaufmannSwiss National Centre for Vector Entomology, Institute of Parasitology, University of Zürich, Winterthurerstrasse 266a, 8057, Zürich, Switzerland. anopheles@swissonline.ch.
Valentin PflügerMabritec SA, Lörracherstrasse 50, 4125, Riehen, Switzerland. Valentin.Pflueger@mabritec.com.
Francis SchaffnerSwiss National Centre for Vector Entomology, Institute of Parasitology, University of Zürich, Winterthurerstrasse 266a, 8057, Zürich, Switzerland. francis.schaffner@uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid, accurate and high-throughput identification of vector arthropods is of paramount importance in surveillance programmes that are becoming more common due to the changing geographic occurrence and extent of many arthropod-borne diseases. Protein profiling by MALDI-TOF mass spectrometry fulfils these requirements for identification, and reference databases have recently been established for several vector taxa, mostly with specimens from laboratory colonies.

methodsWe established and validated a reference database containing 20 phlebotomine sand fly (Diptera: Psychodidae, Phlebotominae) species by using specimens from colonies or field-collections that had been stored for various periods of time.

resultsIdentical biomarker mass patterns ('superspectra') were obtained with colony- or field-derived specimens of the same species. In the validation study, high quality spectra (i.e. more than 30 evaluable masses) were obtained with all fresh insects from colonies, and with 55/59 insects deep-frozen (liquid nitrogen/-80 °C) for up to 25 years. In contrast, only 36/52 specimens stored in ethanol could be identified. This resulted in an overall sensitivity of 87 % (140/161); specificity was 100 %. Duration of storage impaired data counts in the high mass range, and thus cluster analyses of closely related specimens might reflect their storage conditions rather than phenotypic distinctness. A major drawback of MALDI-TOF MS is the restricted availability of in-house databases and the fact that mass spectrometers from 2 companies (Bruker, Shimadzu) are widely being used. We have analysed fingerprints of phlebotomine sand flies obtained by automatic routine procedure on a Bruker instrument by using our database and the software established on a Shimadzu system. The sensitivity with 312 specimens from 8 sand fly species from laboratory colonies when evaluating only high quality spectra was 98.3 %; the specificity was 100 %. The corresponding diagnostic values with 55 field-collected specimens from 4 species were 94.7 % and 97.4 %, respectively.

conclusionsA centralized high-quality database (created by expert taxonomists and experienced users of mass spectrometers) that is easily amenable to customer-oriented identification services is a highly desirable resource. As shown in the present work, spectra obtained from different specimens with different instruments can be analysed using a centralized database, which should be available in the near future via an online platform in a cost-efficient manner.

Indexed as

AnimalsElectron Transport Complex IVEntomologyInsect ProteinsMolecular Sequence DataPsychodidaeSensitivity and SpecificitySequence Analysis, DNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTemperatureElectron Transport Complex IVInsect Proteins

Identifiers

PMID25957576
PMCPMC4432514

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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.