[Current trends in the development of resistance to clinically significant antibiotics in Salmonella (review of literature).]
Svetlana A EgorovaL A KaftyrevaV V PomazanovPublished in: Klinicheskaia laboratornaia diagnostika (2020)
Salmonella is one of the leading bacterial pathogens of acute diarrhea as well as foodborne outbreaks. Salmonellosis can occur as gastroenteritis with the development of complications and generalization of infection, also the extra intestinal diseases that require antibiotic therapy are often registered. Currently, the effectiveness of many antibiotics is reduced due to the development of resistance in Salmonella. National Salmonella surveillance systems monitor Salmonella resistance to «critically important for medicine» antibiotics (extended-spectrum cephalosporins and fluoroquinolones), as well as multidrug resistance. Quinoloneresistant Salmonella is considered as a high-priority resitant pathogen by the World Health Organization. The article describes the current situation on salmonellosis in the world. Foreign and Russian current data about the leading Salmonella serotypes in different regions of the world are presented. The prevalence of clinically significant resistance depending of the Salmonella serotypes in countries with state monitoring systems is shown. The authors described the leading molecular resistance mechanisms (chromosomal and plasmid mediated) and showed their prevalence in different Salmonella serotypes. The article gives the information about Salmonella successful international multidrug resistant clones with specific resistance phenotypes and genotypes. The authors describe the molecular methods for detection of resistance mechanisms, and show the necessity and significance of antimicrobial susceptibility monitoring in the epidemiological Salmonella surveillance.
Keyphrases
- escherichia coli
- listeria monocytogenes
- multidrug resistant
- risk factors
- public health
- healthcare
- stem cells
- systematic review
- intensive care unit
- cystic fibrosis
- crispr cas
- machine learning
- hepatitis b virus
- klebsiella pneumoniae
- deep learning
- quality improvement
- acute respiratory distress syndrome
- acinetobacter baumannii
- copy number
- genome wide