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Kelly-Hope, L., Paulo, R., Thomas, B., Brito, M., Unnasch, T.R. and Molyneux, D. (2017) Loa loa Vectors Chrysops spp.: Perspectives on Research, Distribution, Bionomics, and Implications for Elimination of Lymphatic Filariasis and Onchocerciasis. Parasites & Vectors, 10, Article No. 172.
https://doi.org/10.1186/s13071-017-2103-y
has been cited by the following article:
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TITLE:
Creation of the MALDI-TOF MS Database for Identification of Loa loa Microfilaria: Preliminary Study
AUTHORS:
Elsa-Rush Eyang-Assengone, Carole Cassagne, Roland Dieki, Jean Paul Akue, Jean Bernard Lekana-Douki, Stéphane Ranque
KEYWORDS:
Loiasis, Microfilariae, Parasite, Identification, Diagnostic
JOURNAL NAME:
Advances in Microbiology,
Vol.15 No.6,
June
26,
2025
ABSTRACT: Mass spectrometry (MS) is a powerful tool for identifying bacteria and fungi. Several attempts have been made to apply the technique in clinical parasitology but not in filarial identification. The study shows that MALDI-TOF-MS is a promising tool to identify Loa loa microfilaria of patients from an endemic country. Loa loa microfilariae were isolated and purified from blood via a Percoll gradient. The microfilaria was separated into different groups from 1 microfilaria to 500 microfilaria specimens. Four extraction procedures were subsequently tested to determine the most adaptable procedure for the quality protein for MALDI-TOF MS analysis. A reference database of spectra was constructed and tested on a panel of 80 isolates. A blind test of 80 spectra was performed against the created library. Results showed that the best protocol for protein extraction used an equal volume of 70% formic acid 100% acetonitrile. Good resolution spectra were obtained at 400 microfilariae. The approach correctly identified all the patients. Ten spectra that were used to build a MS. The LSV obtained after comparison of the spectra with the MSP showed a good technical reproducibility ranged from 1.86 to 2.9, with a mean of 2.398 ± 0.046 and a good biological reproducibility with a mean of 2.13 [1.17 - 2.55]. MALDI-TOF MS is a promising approach, providing rapid and accurate identification of L. loa microfilaria.