1. Correlation between Antibiotics-Resistance, Virulence Genes and Genotypes among Klebsiella pneumoniae Clinical Strains Isolated in Guangzhou, China.
- Author
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Hu YL, Bi SL, Zhang ZY, and Kong NQ
- Subjects
- China epidemiology, Humans, beta-Lactamases genetics, Virulence genetics, Drug Resistance, Multiple, Bacterial genetics, Drug Resistance, Bacterial genetics, Klebsiella pneumoniae genetics, Klebsiella pneumoniae drug effects, Klebsiella pneumoniae pathogenicity, Klebsiella pneumoniae isolation & purification, Genotype, Klebsiella Infections microbiology, Klebsiella Infections epidemiology, Anti-Bacterial Agents pharmacology, Virulence Factors genetics, Microbial Sensitivity Tests, Bacterial Proteins genetics
- Abstract
Klebsiella pneumoniae is an important opportunistic pathogen causing community-acquired and hospital-acquired infections. This aim of this study was to analysis the antibiotic-resistance phenotypes, carbapenemase genes, virulence genes, and genotypes the 62 K. pneumoniae clinical isolates, and to explore the correlations between these isolates. The antimicrobial susceptibility profiles were determined using the BD Phoenix-100 system. Carbapenemase and virulence genes were detected using multiplex PCR. Out of the 62 K. pneumoniae clinical isolates, 79.0% were exhibited resistance to antibiotics, with 69.4% displaying multi-drug resistance. The rate of antibiotic-resistance was highest for penicillin (71.0%), followed by cephalosporins (66.1%), and lowest for carbapenems (29.0%). The detection rates of carbapenemase genes were as follows: KPC (56.5%), VIM (35.5%), and NDM (1.61%). Additionally, seven virulence genes were detected with the highest prevalence rates, of which entB and mrkD were at the top of the carrier rates with 95.2% each. The study classified 62 isolates into 13 clusters and 46 genotypes using ERIC-PCR. Cluster A6 exhibited the highest genetic diversity, comprising 20 strains and 13 genotypes. The statistical analysis revealed a strong correlation between MDR and resistance to penicillin and cephalosporin. Furthermore, genes related to siderophores were closely associated with mrkD. Genotypes identified by ERIC-PCR showed a negative correlation with allS. The study revealed a negative correlation between antibiotic resistance and genes kfu, ybtS, iutA, rmpA, and allS. Conversely, a positive correlation was observed between antibiotic resistance and genes entB and mrkD. The correlations identified in this study provide insights into the occurrence of hospital-acquired infections. The findings of this study may guide the prevention and control of K. pneumoniae outbreaks by utilizing appropriate medication., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2024
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