Antimicrobial susceptibility profiling of milk samples from bovine clinical mastitis
Journal Title: IP International Journal of Medical Microbiology and Tropical Diseases - Year 2016, Vol 2, Issue 2
Abstract
Mastitis is one of the most important diseases of milch animals leading to heavy economic losses due to reduced milk yield, discard of milk because of compromised quality and premature culling of animals. Early and specific use of antimicrobials significantly limits the severity of the disease and in many cases prevent the appearance of any visible sign of infection. However, the indiscriminate use of antimicrobial is leading to development of resistance in microbes. Thus the regular screening for the selection of suitable and effective antimicrobial is need of the day. With this objective, in present study primary antimicrobial drugs susceptibility test was performed on fifty clinical mastitis milk samples of cattle and buffaloes against eight commonly used drugs and their combinations to know the status of drug susceptibility to select the most effective drug for an early treatment. Drug susceptibility test revealed resistance towards multiple antimicrobials. Overall, the highest resistance was observed against cefotaxime, ampicillin-sulbactam, cefixime and ceftriaxone while majority of the culture showed susceptibility to amikacin, chloramphenicol and gentamicin. The higher resistance against third generation cephalosporin and better susceptibility for amikacin, available only in injectable preparations is suggestive of indiscriminate use of oral therapy of cephalosporins as the first choice for treatment because of their broad spectrum of action and easy mode of administration. Therefore, the present study recommends regular use of antimicrobial susceptibility testing of mastitis bacterial pathogens to decide the appropriate antimicrobial drug for treatment and to limiting the indiscriminate use of antimicrobial drugs to avoid the development of resistance among microbes
Authors and Affiliations
Vinod Kumar Singh, Amit Kumar, Sharad Kumar Yadav
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