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MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes
BACKGROUND: Malaria is still a major public health issue worldwide, and one of the best approaches to fight the disease remains vector control. The current methods for mosquito identification include morphological methods that are generally time-consuming and require expertise, and molecular methods...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209920/ https://www.ncbi.nlm.nih.gov/pubmed/28049524 http://dx.doi.org/10.1186/s12936-016-1657-z |
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author | Laroche, Maureen Almeras, Lionel Pecchi, Emilie Bechah, Yassina Raoult, Didier Viola, Angèle Parola, Philippe |
author_facet | Laroche, Maureen Almeras, Lionel Pecchi, Emilie Bechah, Yassina Raoult, Didier Viola, Angèle Parola, Philippe |
author_sort | Laroche, Maureen |
collection | PubMed |
description | BACKGROUND: Malaria is still a major public health issue worldwide, and one of the best approaches to fight the disease remains vector control. The current methods for mosquito identification include morphological methods that are generally time-consuming and require expertise, and molecular methods that require laboratory facilities with relatively expensive running costs. Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) technology, routinely used for bacterial identification, has recently emerged in the field of entomology. The aim of the present study was to assess whether MALDI-TOF MS could successfully distinguish Anopheles stephensi mosquitoes according to their Plasmodium infection status. METHODS: C57BL/6 mice experimentally infected with Plasmodium berghei were exposed to An. stephensi bites. For the determination of An. stephensi infection status, mosquito cephalothoraxes were dissected and submitted to mass spectrometry analyses and DNA amplification for molecular analysis. Spectra were grouped according to mosquitoes’ infection status and spectra quality was validated based on intensity and reproducibility within each group. The in-lab MALDI-TOF MS arthropod reference spectra database, upgraded with representative spectra from both groups (infected/non-infected), was subsequently queried blindly with cephalothorax spectra from specimens of both groups. RESULTS: The MALDI TOF MS profiles generated from protein extracts prepared from the cephalothorax of An. stephensi allowed distinction between infected and uninfected mosquitoes. Correct classification was obtained in blind test analysis for (79/80) 98.75% of all mosquitoes tested. Only one of 80 specimens, an infected mosquito, was misclassified in the blind test analysis. CONCLUSIONS: Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry appears to be a promising, rapid and reliable tool for the epidemiological surveillance of Anopheles vectors, including their identification and their infection status. |
format | Online Article Text |
id | pubmed-5209920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52099202017-01-04 MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes Laroche, Maureen Almeras, Lionel Pecchi, Emilie Bechah, Yassina Raoult, Didier Viola, Angèle Parola, Philippe Malar J Research BACKGROUND: Malaria is still a major public health issue worldwide, and one of the best approaches to fight the disease remains vector control. The current methods for mosquito identification include morphological methods that are generally time-consuming and require expertise, and molecular methods that require laboratory facilities with relatively expensive running costs. Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) technology, routinely used for bacterial identification, has recently emerged in the field of entomology. The aim of the present study was to assess whether MALDI-TOF MS could successfully distinguish Anopheles stephensi mosquitoes according to their Plasmodium infection status. METHODS: C57BL/6 mice experimentally infected with Plasmodium berghei were exposed to An. stephensi bites. For the determination of An. stephensi infection status, mosquito cephalothoraxes were dissected and submitted to mass spectrometry analyses and DNA amplification for molecular analysis. Spectra were grouped according to mosquitoes’ infection status and spectra quality was validated based on intensity and reproducibility within each group. The in-lab MALDI-TOF MS arthropod reference spectra database, upgraded with representative spectra from both groups (infected/non-infected), was subsequently queried blindly with cephalothorax spectra from specimens of both groups. RESULTS: The MALDI TOF MS profiles generated from protein extracts prepared from the cephalothorax of An. stephensi allowed distinction between infected and uninfected mosquitoes. Correct classification was obtained in blind test analysis for (79/80) 98.75% of all mosquitoes tested. Only one of 80 specimens, an infected mosquito, was misclassified in the blind test analysis. CONCLUSIONS: Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry appears to be a promising, rapid and reliable tool for the epidemiological surveillance of Anopheles vectors, including their identification and their infection status. BioMed Central 2017-01-03 /pmc/articles/PMC5209920/ /pubmed/28049524 http://dx.doi.org/10.1186/s12936-016-1657-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Laroche, Maureen Almeras, Lionel Pecchi, Emilie Bechah, Yassina Raoult, Didier Viola, Angèle Parola, Philippe MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes |
title | MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes |
title_full | MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes |
title_fullStr | MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes |
title_full_unstemmed | MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes |
title_short | MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes |
title_sort | maldi-tof ms as an innovative tool for detection of plasmodium parasites in anopheles mosquitoes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209920/ https://www.ncbi.nlm.nih.gov/pubmed/28049524 http://dx.doi.org/10.1186/s12936-016-1657-z |
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