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Yssouf, A., Socolovschi, C., Leulmi, H., Kernif, T., Bitam, I., Audoly, G., et al. (2014) Identification of Flea Species Using MALDI-TOF/MS. Comparative Immunology, Microbiology and Infectious Diseases, 37, 153-157.
https://doi.org/10.1016/j.cimid.2014.05.002

has been cited by the following article:

• 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.