From Bench to Diagnosis: The Use of MALDI-TOF in Veterinary Microbiology
DOI:
https://doi.org/10.5380/avs.v31i2.102904Keywords:
Continued expansion of veterinary-specific databases, protocol standardization, and integration with molecular approaches are essential to maximize global diagnostic and One Health impact.Abstract
Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) has transformed routine diagnostic microbiology by enabling rapid, accurate, and cost-effective identification of microorganisms from cultured isolates. This qualitative narrative review critically synthesizes evidence on the use of MALDI-TOF MS in veterinary microbiology published between January 2000 and January 2026, focusing on principles, diagnostic applications, performance, limitations, and future perspectives. An active literature search was conducted in SciELO, PubMed, Virtual Health Library (VHL), Scopus, and Web of Science using controlled descriptors and free keywords in English, Spanish, and Portuguese related to MALDI-TOF MS, veterinary microbiology, microbial identification, and One Health. Overall, 162 records were retrieved; after deduplication and screening, 46 articles were assessed in full text and 24 met eligibility criteria for qualitative synthesis. The included studies were categorized by microorganism group (bacteria, yeasts, filamentous fungi), animal host (companion animals, livestock, wildlife, exotic species), geographic region, and diagnostic application. Evidence indicates that MALDI-TOF MS is most robust for bacterial identification, frequently achieving high species-level accuracy with substantially reduced turnaround time compared with conventional biochemical methods, and supporting high-throughput workflows relevant to clinical practice, food safety, and antimicrobial resistance surveillance. Yeast identification also shows favorable performance when supported by curated spectral libraries, whereas filamentous fungi remain more technically challenging due to extraction and database constraints. Adoption is geographically uneven, with most studies originating from Europe and North America, while implementation in underrepresented regions remains limited. Continued expansion of veterinary-specific databases, protocol standardization, and integration with molecular approaches are essential to maximize global diagnostic and One Health impact.
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