Antibiotic resistance of bacteria isolated from various cavities and mucous membranes of animals
Year: 2025
Type: article
Abstract: The urgency of the problem of microbial resistance to antibacterial drugs is growing every year, although national programs have been developed to curb antibiotic resistance in a number of countries around the world. From May to November 2024, we monitored antibiotic resistance by analyzing the sensitivity of various microorganisms isolated from various cavities and mucous membranes from 93 unproductive animals in a veterinary clinic in St. Petersburg. According to the results of the analysis, data were obtained confirming the growth of resistance of microorganisms to antibacterial agents. Isolated from animals, Staphylococcus pseudintermedius was resistant to penicillins, lincosamides, cephalosporins, amphinecols, aminoglycosides, macrolides, Staphylococcus epidermidis was resistant to penicillins, lincosamides, cephalosporins, aminoglycosides, macrolides, carbapenems, fluoroquinolones, tetracyclines, sulfonamide preparations, Klebsiella pneumoniae to beta-lactam antibiotics, Escherichia coli to aminoglycosides, fluoroquinolones and sulfonamides, Enterococcus faecalis to fluoroquinolones, Enterococcus faecium to penicillins, carbapenems and fluoroquinolones. During the monitoring of antibiotic resistance of microorganisms in a veterinary clinic, it can be concluded that irrational antibiotic therapy is a serious problem that leads to an increase in antibiotic resistance of pathogenic microorganisms. Antibacterial drugs play an important role in the treatment of various diseases, which can significantly reduce the risk of complications and improve the quality of life of patients. However, the effectiveness of these drugs directly depends on the dose, frequency and duration of administration.
Authors: A. M. Lunegov, I. V. Lunegova, V. A. Baryshev
Language: English
Subfield: Applied Microbiology and Biotechnology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4407147316