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Identification through MALDI-TOF mass spectrometry and antimicrobial susceptibility profiling of bacterial pathogens isolated from sow urinary tract infection.

Authors :
Moreno LZ
Matajira CEC
Poor AP
Mesquita RE
Gomes VTM
Silva APS
Amigo CR
Christ APG
Barbosa MRF
Sato MIZ
Moreno AM
Source :
The veterinary quarterly [Vet Q] 2018 Dec; Vol. 38 (1), pp. 1-8.
Publication Year :
2018

Abstract

Background: Urinary tract infection (UTI) is a common disease in sows due to intensification of pig production. Despite direct economic losses, UTI prevalence and respective microbial identification are still poorly studied.<br />Objective: The aims of this study were to identify the causative agents of UTI in sows through MALDI-TOF MS and to characterize their antimicrobial resistance profiles.<br />Materials and Methods: Urine samples from 300 sows of three herds from São Paulo State (Brazil) were screened for UTI; suggestive samples were submitted to bacterial isolation. Species identification was performed by MALDI-TOF MS and susceptibility profiles were determined using disc diffusion method.<br />Results: 128 samples suggestive of UTI were analyzed; 48% of the animals presented UTI caused by a single pathogen, while the remaining 52% presented mixed infection. Escherichia coli stood out with the highest frequency among both single and mixed infections. The Gram-positive were exclusively associated with 27% of single infections. The mixed infections were further classified into 49 profiles. The high frequency of multiresistant profiles stood out for most of the studied isolates.<br />Conclusions: MALDI-TOF MS enabled the identification of rare pathogens related to UTI which may represent higher risk for porcine health, especially considering high frequency of multiresistant profiles.

Details

Language :
English
ISSN :
1875-5941
Volume :
38
Issue :
1
Database :
MEDLINE
Journal :
The veterinary quarterly
Publication Type :
Academic Journal
Accession number :
29090643
Full Text :
https://doi.org/10.1080/01652176.2017.1397302