Work

Competitive dynamics of ST764 and ST5 MRSA in a new tertiary ICU: enhanced hospital adaptation via agrC mutations post-COVID-19

Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Intensive care units (ICUs) face high risks of methicillin-resistant Staphylococcus aureus (MRSA) transmission, yet how accessory gene regulator (agr) dysfunction drives strain adaptation remains unclear. This study investigated MRSA epidemiology in a new ICU, focusing on post-COVID-19 clonal dynamics. METHODS: We conducted 6-month prospective surveillance (Oct 2022-Apr 2023) in a Chinese tertiary ICU. Biweekly environmental/patient sampling and admission/discharge screenings were performed. Isolates underwent whole-genome sequencing (WGS), core-genome multilocus sequence typing (cgMLST), antimicrobial susceptibility testing, and functional assays (CAMP/biofilm). RESULTS: MRSA colonization rates were 5.98% (environment) and 3.86% (patients), with 6.8% present on admission (POA) and 7.6% ICU-associated colonization. Dominant clonal complex (CC) 5 (65.33%) comprised sequence type (ST) 764 (pre-COVID-19) and ST5 (post-COVID-19). cgMLST identified 18 transmission clusters (cgSNP <15), revealing that CC5 isolates mainly originated from environmental reservoirs (beds, medical instruments). ST5 displaced ST764 post-COVID-19, mediated by an agrC mutation (agrC-T43I) that enhanced environmental fitness via increased biofilm formation and reduced antimicrobial susceptibility. ICU-associated colonization shifted toward CC5 (64% vs 30% POA), confirming nosocomial adaptation. CONCLUSIONS: Environmental contamination is the primary source of MRSA transmission in ICUs. The agrC-T43I mutation drives ST5 dominance post-pandemic by enhancing biofilm-dependent persistence, underscoring the need for genomic surveillance to guide infection control.
Authors: Yueqin Hong, Feiteng Zhu, Yiyi Chen, Yiyi Chen, Yeqiong Liu, Yisha Zhang, Weiyi Huang, Hanming Ni, Zhengan Wang, Shengnan Jiang, Jiancang Zhou, Xiaoxing Du, Yunsong Yu, Yan Chen, Yan Chen
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,900
OpenAlex ID: W4415891735
FWCI:
Cites: 33
Cited by:
Related to: