ArticlePLoS neglected tropical diseases2019
Identification of French Guiana sand flies using MALDI-TOF mass spectrometry with a new mass spectra library.
Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 39 citations in OpenAlex.
- Intraspecific geographical variability of Phlebotomus perniciosus assessed by MALDI-TOF MS protein profiling.Parasites & vectors · 2026Article
- Article
- Appearance may be deceiving: Mexican sand flies (Diptera: Psychodidae: Phlebotominae) embrace a high diversity of cryptic species.Journal of insect science (Online) · 2025Article
- Assessment of MALDI-TOF MS for Arthropod Identification Based on Exuviae Spectra Analysis.Biological procedures online · 2025Article
- Identification of Southeast Asian Anopheles mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach.Parasites & vectors · 2025Article
- A universal tool for marine metazoan species identification: towards best practices in proteomic fingerprinting.Scientific reports · 2024Article
- Identification of Southeast Asian Anopheles mosquito species using MALDI-TOF mass spectrometry.PloS one · 2024Article
- Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP).Scientific reports · 2023Article
- Identification of NeotropicalTropical medicine and infectious disease · 2023Article
- Applications of MALDI-TOF Mass Spectrometry to the Identification of Parasites and Arthropod Vectors of Human Diseases.Microorganisms · 2022Review
- MALDI-TOF MS Limits for the Identification of Mediterranean Sandflies of the SubgenusMicroorganisms · 2022Article
- Mass Spectrometry-Based Peptide Profiling of Haemolymph fromMolecules (Basel, Switzerland) · 2022Article
- Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution ofOne health (Amsterdam, Netherlands) · 2021Article
- New assessment of Anopheles vector species identification using MALDI-TOF MS.Malaria journal · 2021Article
- An integrative approach to identify sand fly vectors of leishmaniasis in Ethiopia by morphological and molecular techniques.Parasites & vectors · 2020Article
- Identification of mixed and successive blood meals of mosquitoes using MALDI-TOF MS protein profiling.Parasitology · 2020Article
- Ecological niche modelling for predicting the risk of cutaneous leishmaniasis in the Neotropical moist forest biome.PLoS neglected tropical diseases · 2019Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phlebotomine sand flies are insects that are highly relevant in medicine, particularly as the sole proven vectors of leishmaniasis. Accurate identification of sand fly species is an essential prerequisite for eco-epidemiological studies aiming to better understand the disease. Traditional morphological identification is painstaking and time-consuming, and molecular methods for extensive screening remain expensive. Recent studies have shown that matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a promising tool for rapid and cost-effective identification of arthropod vectors, including sand flies. The aim of this study was to validate the use of MALDI-TOF MS for the identification of Northern Amazonian sand flies. We constituted a MALDI-TOF MS reference database comprising 29 species of sand flies that were field-collected in French Guiana, which are expected to cover many of the more common species of the Northern Amazonian region, including known vectors of leishmaniasis. Carrying out a blind test, all the sand flies tested (n = 157) with a log (score) threshold greater than 1.7 were correctly identified at the species level. We confirmed that MALDI-TOF MS protein profiling is a useful tool for the study of sand flies, including neotropical species, known for their great diversity. An application that includes the spectra generated here will be available to the scientific community in the near future via an online platform.
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