Prevalence of Hypervirulent rmpA and magA Genes in Clinical Isolates of Klebsiella pneumoniae and their association with Drug Resistant Pattern: A Cross-sectional Study

Autor: Kanimozhi Devanathan, Umadevi Sivaraman, Rajkumar Chinnadurai, Joshy M Easow, Vickneshwaran Vinayagam
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Clinical and Diagnostic Research, Vol 18, Iss 07, Pp 20-24 (2024)
Druh dokumentu: article
ISSN: 2249-782X
0973-709X
DOI: 10.7860/JCDR/2024/69730.19668
Popis: Introduction: Hypervirulent Klebsiella pneumoniae (hvKp) has emerged as a pathogen of global concern that is hypermucoviscous, causing infections and rapidly acquiring Antimicrobial Resistance (AMR). HvKp is more virulent than classical K. pneumoniae (cKp) and frequently infects healthy individuals with community-acquired illnesses. Since hvKp commonly exists in the gastrointestinal tract, its communicable spread affects the general public and healthcare facilities. The study was necessary due to the rapid evolution of hvKp, the need to identify novel, reliable agents of hypervirulence and drug resistance, and more reliable targets for therapeutic intervention. Aim: To investigate the prevalence of hvKp strains (rmpA and magA genes) and drug-resistant patterns in clinical isolates of Klebsiella pneumoniae (K. pneumoniae) in a tertiary care hospital in Puducherry, India. Materials and Methods: The cross-sectional study included a total of 100 non duplicate consecutive isolates of K. pneumoniae collected from Mahatma Gandhi Medical College and Research Institute and Hospital, Puducherry, India. These isolates were recovered from various clinical specimens such as urine, sputum, pus, blood, and other miscellaneous specimens mainly obtained from both outpatients and inpatients between August 2021 and April 2022. The antibiotic susceptibility of cultured K. pneumoniae was determined by the disk-diffusion test following the 2020 Clinical and Laboratory Standards Institute (CLSI) guidelines. The rmpA and magA genes were detected using conventional Polymerase Chain Reaction (PCR). PCR products were sequenced using Sanger sequencing. Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) statistics software for Windows, version 15.0 (available from SPSS Inc., Chicago, USA). A p-value
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