ArticlePLoS neglected tropical diseases2017
Assessment of MALDI-TOF mass spectrometry for filariae detection in Aedes aegypti mosquitoes.
Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- MALDI-TOF mass spectrometry as a diagnostic tool in human and veterinary helminthology: a systematic review.Parasites & vectors · 2019Pooled it
- Rapid Identification of Edible Insect Species in Food Using MALDI-TOF Mass Spectrometry.Rapid communications in mass spectrometry : RCM · 2026Article
- Rapid identification of Biomphalaria spp. and diagnosis of Schistosoma mansoni infestation using MALDI-TOF mass spectrometry.PLoS neglected tropical diseases · 2026Article
- Age structure and parity status determination of Afrotropical malaria vectors using MALDI-TOF MS.Scientific reports · 2025Article
- MALDI-TOF MS Profiling and Its Contribution to Mosquito-Borne Diseases: A Systematic Review.Insects · 2024Review
- Challenges for ticks and tick-borne diseases research in Southeast Asia: Insight from the first international symposium in Cambodia.PLoS neglected tropical diseases · 2024Review
- Potential of MALDI-TOF MS biotyping to detect deltamethrin resistance in the dengue vector Aedes aegypti.PloS one · 2024Article
- Identification of NeotropicalTropical medicine and infectious disease · 2023Article
- Identification of Vietnamese Flea Species and Their Associated Microorganisms Using Morphological, Molecular, and Protein Profiling.Microorganisms · 2023Article
- Utility of MALDI-TOF MS for determination of species identity and blood meal sources of primary malaria vectors on the Kenyan coast.Wellcome open research · 2023Article
- Wolbachia detection in Aedes aegypti using MALDI-TOF MS coupled to artificial intelligence.Scientific reports · 2021Article
- Combination of MALDI-TOF Mass Spectrometry and Machine Learning for Rapid Antimicrobial Resistance Screening: The Case ofFrontiers in microbiology · 2021Article
- Development of MALDI-TOF mass spectrometry for the identification of lice isolated from farm animals.Parasite (Paris, France) · 2020Article
- Identification of closely related Ixodes species by protein profiling with MALDI-TOF mass spectrometry.PloS one · 2019Article
- Use of MALDI-TOF MS for the Identification of Chad Mosquitoes and the Origin of Their Blood Meal.The American journal of tropical medicine and hygiene · 2019Article
- Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts.Parasites & vectors · 2018Article
- MALDI-TOF MS and point of care are disruptive diagnostic tools in Africa.New microbes and new infections · 2018Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) is an emerging tool for routine identification of bacteria, archaea and fungi. It has also been recently applied as an accurate approach for arthropod identification. Preliminary studies have shown that the MALDI-TOF MS was able to differentiate whether ticks and mosquitoes were infected or not with some bacteria and Plasmodium parasites, respectively. The aim of the present study was to test the efficiency of MALDI-TOF MS tool in distinguishing protein profiles between uninfected mosquitoes from specimens infected by filarioid helminths. Aedes aegypti mosquitoes were engorged on microfilaremic blood infected with Dirofilaria immitis, Brugia malayi or Brugia pahangi. Fifteen days post-infective blood feeding, a total of 534 mosquitoes were killed by freezing. To assess mass spectra (MS) profile changes following filariae infections, one compartment (legs, thorax, head or thorax and head) per mosquito was submitted for MALDI-TOF MS analysis; the remaining body parts were used to establish filariae infectious status by real-time qPCR. A database of reference MS, based on the mass profiles of at least two individual mosquitoes per compartment, was created. Subsequently, the remaining compartment spectra (N = 350) from Ae. aegypti infected or not infected by filariae were blind tested against the spectral database. In total, 37 discriminating peak masses ranging from 2062 to 14869 daltons were identified, of which 17, 11, 12 and 7 peak masses were for legs, thorax, thorax-head and head respectively. Two peak masses (4073 and 8847 Da) were specific to spectra from Ae. aegypti infected with filariae, regardless of nematode species or mosquito compartment. The thorax-head part provided better classification with a specificity of 94.1% and sensitivity of 86.6, 71.4 and 68.7% of D. immitis, B. malayi and B. pahangi respectively. This study presents the potential of MALDI-TOF MS as a reliable tool for differentiating non-infected and filariae-infected Ae. aegypti mosquitoes. Considering that the results might vary in other mosquito species, further studies are needed to consolidate the obtained preliminary results before applying this tool in entomological surveillance as a fast mass screening method of filariosis vectors in endemic areas.
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