{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T06:13:52Z","timestamp":1776147232712,"version":"3.50.1"},"reference-count":45,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T00:00:00Z","timestamp":1776124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>\n                    <jats:italic>Staphylococcus aureus<\/jats:italic>\n                    causes severe bloodstream infections (BSIs), and methicillin-resistant\n                    <jats:italic>S. aureus<\/jats:italic>\n                    (MRSA) poses a major clinical threat due to strong antimicrobial resistance and limited therapeutic options. This retrospective study analyzed 96\n                    <jats:italic>S. aureus<\/jats:italic>\n                    isolates from nosocomial BSIs in a tertiary hospital in central China from 2020 to 2024, to clarify the epidemiological characteristics of antimicrobial resistance and transmission mechanisms. Antimicrobial susceptibility testing, whole-genome sequencing and bioinformatics analysis were performed to identify antibiotics c resistance genes (ARGs), virulence factors (VFs), multilocus sequence typing (MLST), staphylococcal cassette chromosome\n                    <jats:italic>mec<\/jats:italic>\n                    (SCCmec) typing and phylogenetic features. MRSA accounted for 72.92% (70\/96) of all strains. The total number of\n                    <jats:italic>S. aureus<\/jats:italic>\n                    isolates trended downward, while the MRSA proportion remained stable at 57.14\u2013100.00%, with the Department of Nephrology showing the highest infection rate (36.46%). All strains were susceptible to linezolid and rifampicin; one vancomycin-resistant, one tigecycline-resistant and one phenotypically discordant MRSA strain were detected. Genomic analysis identified 29 resistance gene types, with frequent co-carriage of\n                    <jats:italic>mec<\/jats:italic>\n                    and\n                    <jats:italic>bla<\/jats:italic>\n                    family genes. Strains carried abundant VFs (average 74 genes per strain), including 45 core virulence genes and widely distributed\n                    <jats:italic>lukF-PV<\/jats:italic>\n                    \/\n                    <jats:italic>lukS-PV<\/jats:italic>\n                    . MLST revealed 21 sequence types, dominated by ST59 (21.88%) and persistently epidemic ST22. SCCmec type IV (58.93%) was predominant, with no\n                    <jats:italic>mecI<\/jats:italic>\n                    in type IV\/V strains and three pseudo-SCCmec carriers. Genomic epidemiology provides reliable evidence for precise medication, targeted prevention and control of MRSA BSIs, and references for understanding\n                    <jats:italic>S. aureus<\/jats:italic>\n                    antimicrobial resistance evolution.\n                  <\/jats:p>","DOI":"10.3389\/fpubh.2026.1807676","type":"journal-article","created":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T05:39:16Z","timestamp":1776145156000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Genomic epidemiology and antimicrobial resistance prevalence of Staphylococcus aureus isolated from bloodstream infections in a tertiary hospital in central China: a 5-year retrospective study"],"prefix":"10.3389","volume":"14","author":[{"given":"Sudi","family":"Zhu","sequence":"first","affiliation":[{"name":"Wanbei Coal-Electricity Group General Hospital","place":["Suzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaixuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wanbei Coal-Electricity Group General Hospital","place":["Suzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wanbei Coal-Electricity Group General Hospital","place":["Suzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxiong","family":"Xiao","sequence":"additional","affiliation":[{"name":"Wanbei Coal-Electricity Group General Hospital","place":["Suzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lusheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Wanbei Coal-Electricity Group General Hospital","place":["Suzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caixia","family":"Zhao","sequence":"additional","affiliation":[{"name":"Medical College of Qinghai University","place":["Xining, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,4,14]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"101775","DOI":"10.1016\/j.lanwpc.2025.101775","article-title":"Mapping the landscape of healthcare-associated infections in China, 2015\u20132019: a nation-wide observational study","volume":"65","author":"Yao","year":"2025","journal-title":"Lancet Reg Health"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"e2417199","DOI":"10.1001\/jamanetworkopen.2024.17199","article-title":"Antimicrobial resistance patterns of outpatient Staphylococcus aureus isolates","volume":"7","author":"Carrel","year":"2024","journal-title":"JAMA Netw Open"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"101178","DOI":"10.1016\/j.drup.2024.101178","article-title":"Reshaping the battlefield: a decade of clonal wars among Staphylococcus aureus in 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