Vibrio cholerae non-O1. A potential pathogen in Cuba
Keywords:
Vibrio cholerae non-O1, temporo-spatial distribution, virulence factors, antimicrobial resistanceAbstract
Introduction: Vibrio cholerae non-O1 constitutes a potential pathogen that causes intestinal and extraintestinal infections. These constitute reservoirs of virulence and antimicrobial resistance genes, allowing isolates of Vibrio cholerae non-O1 to become choleric and epidemic. In Cuba, since 1980 the National Reference Laboratory- EDA of the ¨Pedro Kourí¨ Institute has been monitoring this agent. Between 2012-2016, suspected cases of cholera are reported, and epidemic and non-epidemic serogroups are circulating. This study aims to investigate the isolates that circulated between 2012-2019, in terms of: spatio-temporal distribution, variations in pathogenic potential and antimicrobial resistance.
Methods: It was carried out an analytical cross-sectional study that included 80 isolates. They were carried out confirmation of genus, species and serotype, temporal-spatial distribution, detection of virulence factors and susceptibility to nine antimicrobials. It was determined the relationship between virulence phenotype and multi-resistance.
Results: It was demonstrated a spatial heterogeneity pattern, with a predominance of detection in the eastern region, and an increase in enzymatic virulence factors and biofilm formation in the period. They were observed the highest resistance values for trimethoprim/sulfamethoxazole and for ampicillin, while they were demonstrated percentages below 5%. for doxycycline, azithromycin and ciprofloxacin. It was verified the circulation of multiresistant isolates with patterns that include the antimicrobials of choice in the treatment of V. cholerae diarrhea, and it was found no association between the presence of virulence factors and multiresistance. Conclusion, the analysis of the behavior of ADD in Cuba based on the spatio- temporal distribution of Vibrio cholerae non-O1 pathogenic and multi-resistant provides fundamental elements for the construction of risk maps and allows the timely prediction of future outbreak scenarios.Downloads
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