Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/74552
Title: Antimicrobial susceptibility profiles of porcine mycoplasmas isolated from samples collected in southern Europe
Authors: Rosales Santana, Rubén Sebastián 
Ramírez Corbera, Ana Sofía 
Tavío Pérez, María Del Mar 
Poveda Turrado, Carlos Guillermo 
Poveda Guerrero, José Bismarck 
UNESCO Clasification: 320505 Enfermedades infecciosas
Keywords: Antimicrobial Susceptibility
Lincosamides
Macrolides
Mic
Pleuromutilins, et al
Issue Date: 2020
Journal: BMC Veterinary Research 
Abstract: BACKGROUND: Mycoplasma (M.) hyopneumoniae, M. hyorhinis and M. hyosynoviae are significant pathogens for the porcine industry worldwide. The aim of the present study was to determine the antimicrobial susceptibility of six key antimicrobials (tylosin, tilmicosin, tylvalosin, lincomycin, tiamulin and valnemulin) routinely used for treating infections caused by these pathogens. Twenty-seven M. hyopneumoniae, 48 M. hyorhinis and 40 M. hyosynoviae field strains isolated from clinical samples from different Southern European countries between 2013 and 2018 using broth microdilution method were evaluated. RESULTS: Tylvalosin exhibited the highest in vitro activity among the macrolides assayed, with MIC90 values 4 to 5 two-fold dilutions lower than those of tylosin and tilmicosin. The pleuromutilin valnemulin showed one of the highest in vitro activities against the three mycoplasma species. On the contrary, lincomycin exhibited the highest MIC values of the antimicrobials tested. CONCLUSIONS: The data obtained in the present study supports the use of pleuromutilins and macrolides for the control of infections caused by porcine mycoplasmas. The use of lincomycin for the treatment of porcine mycoplasma infections should be carefully evaluated due to the presence of circulating field isolates with decreased susceptibility to this antimicrobial.
URI: http://hdl.handle.net/10553/74552
ISSN: 1746-6148
DOI: 10.1186/s12917-020-02512-2
Source: BMC veterinary research [ISSN 1746-6148], v. 16 (1), (Septiembre 2020)
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