Evidence map›Paper›PMID 26872451›Full record

ArticleMalaria journal2016

Identification of blood meal sources in the main African malaria mosquito vector by MALDI-TOF MS.

Sirama Niare, Jean-Michel Berenger, Constentin Dieme, Ogobara Doumbo, Didier Raoult, Philippe Parola, Lionel Almeras

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
9.4field-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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  11. Wing Morphometrics ofInsects · 2021
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  12. Review
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  15. Article
  16. Article
  17. Article
  18. Protein mass spectrometry detects multiple bloodmeals for enhanced Chagas disease vector ecology.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2019
    Article
  19. Article
  20. Article
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

7 authors at 5 institutions in 2 countries.

Sirama NiareUnité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Faculté de Médecine, Aix Marseille Université, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. sirama.niare@yahoo.com.
Jean-Michel BerengerUnité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Faculté de Médecine, Aix Marseille Université, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. jmberenger@free.fr.
Constentin DiemeUnité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Faculté de Médecine, Aix Marseille Université, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. caiusdieme@yahoo.fr.
Ogobara DoumboMalaria Research and Training Center, DEAP/FMOS, UMI 3189, University of Science, Techniques and Technology, Bamako, Mali. okd@icermali.org.
Didier RaoultUnité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Faculté de Médecine, Aix Marseille Université, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. didier.raoult@gmail.com.
Philippe ParolaUnité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Faculté de Médecine, Aix Marseille Université, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. philippe.parola@univ-amu.fr.
Lionel AlmerasUnité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Faculté de Médecine, Aix Marseille Université, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. almeras.lionel@gmail.com.
Centre National de la Recherche Scientifique · FRInstitut de Recherche pour le Développement · FRAix-Marseille Université · FRUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes · FRUniversity of Bamako · ML

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of blood meal sources in malaria vectors is critical to better understanding host/vector interactions and malaria epidemiology and control. Currently, the identification of mosquito blood meal origins is based on time-consuming and costly techniques such as precipitin tests, ELISA and molecular tools. Although these tools have been validated to identify the blood meal and trophic preferences of female Anopheles mosquitoes, they present several limitations. Recently, matrix-assisted, laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was successfully used as a quick and accurate tool for arthropod identification, including mosquitoes. The aim of the present work was to test whether MALDI-TOF MS could also be applied to identification of blood meal sources from engorged mosquitoes.

methodsAbdomen proteins extracted from Anopheles gambiae (stricto sensu, S molecular form) that were either unengorged or artificially engorged on seven distinct types of vertebrate blood (human, horse, sheep, rabbit, mouse, rat, dog) were submitted for MALDI-TOF MS.

resultsThe comparison of mass spectrometry (MS) spectra from mosquito abdomens collected 1 h post-feeding, were able to discriminate blood meal origins. Moreover, using Aedes albopictus specimens, abdominal protein MS spectra from engorged mosquitoes were found specific to host blood source and independent of the mosquito species. A sequential analysis revealed stability of mosquito abdominal protein spectra up to 24 h post-feeding.

conclusionsThese results indicate that MALDI-TOF MS could determine feeding patterns of freshly engorged mosquitoes up to 24 h post-blood meal. The MALDI-TOF MS technique appears to be an efficient tool for large epidemiological surveillance of vector-borne diseases and outbreak source identification.

Indexed as

AnophelesBlood Chemical AnalysisFeeding BehaviorSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsCluster AnalysisDogsFemaleHorsesHumansInsect VectorsMiceRatsSheep

Identifiers

PMID26872451
PMCPMC4752743
OpenAlexW2253831405

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.