Please use this identifier to cite or link to this item: doi:10.22028/D291-38619
Title: Recent Advances and Potential Future Applications of MALDI-TOF Mass Spectrometry for Identification of Helminths
Author(s): Sy, Issa
Conrad, Lucie
Becker, Sören L.
Language: English
Title: Diagnostics
Volume: 12
Issue: 12
Publisher/Platform: MDPI
Year of Publication: 2022
Free key words: diagnosis
matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF)
mass spectrometry (MS
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Helminth infections caused by nematodes, trematodes, and cestodes are major neglected tropical diseases and of great medical and veterinary relevance. At present, diagnosis of helminthic diseases is mainly based on microscopic observation of different parasite stages, but microscopy is associated with limited diagnostic accuracy. Against this background, recent studies described matrixassisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry as a potential, innovative tool for helminth identification and differentiation. MALDI-TOF mass spectrometry is based on the analysis of spectra profiles generated from protein extracts of a given pathogen. It requires an available spectra database containing reference spectra, also called main spectra profiles (MSPs), which are generated from well characterized specimens. At present, however, there are no commercially available databases for helminth identification using this approach. In this narrative review, we summarize recent developments and published studies between January 2019 and September 2022 that report on the use of MALDI-TOF mass spectrometry for helminths. Current challenges and future research needs are identified and briefly discussed.
DOI of the first publication: 10.3390/diagnostics12123035
Link to this record: urn:nbn:de:bsz:291--ds-386191
ISSN: 2075-4418
Date of registration: 23-Dec-2022
Faculty: M - Medizinische Fakultät
Department: M - Infektionsmedizin
Professorship: M - Prof. Dr. Sören Becker
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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