Mu Chunge, Wang Shimeng, Wang Ailan, Li Weiwei
School of Hydraulic and Civil Engineering, Ludong University, Yantai, Shandong, China.
School of Life Sciences, Ludong University, Yantai, Shandong, China.
One Health. 2025 Apr 28;20:101054. doi: 10.1016/j.onehlt.2025.101054. eCollection 2025 Jun.
Under the One Health framework, it is crucial to undertake a comprehensive analysis of antimicrobial resistance (AMR) across various countries and regions. High-risk ARGs pose a severe threat to human health, yet systematic research on them is scarce. This study developed a high-risk ARGs database using the existing risk assessment system and explored a genome-based investigation workflow for high-risk ARGs. We investigated , a common clinical pathogen, to understand the epidemiological characteristics of high-risk ARGs, including their primary sources and destinations. Results revealed that high-risk ARGs are widespread in , with being the most abundant and the most widely distributed. The combination of vancomycin_ARGs (, , , ) -- is the most prevalent. ST1579 harbors the most high-risk ARGs, and the top five STs carrying high-risk ARGs are all from the hospital-specific CC17 clone lineage (cladeA1). Similarly, , , and vancomycin_ARGs-positive strains also belong to the nosocomial infection-related lineage cladeA1. Oxazolidinones_ARGs (, , )-positive strains are mainly from the cladeA2 lineage associated with animals. , a last-resort antibiotics ARG with potential outbreak risk, requires particular attention. Additionally, plasmids, transposons (Tn), Insertion sequence (IS), and integrative conjugative elements (ICE) show varying preferences for encoding high-risk ARGs, with , , , , , and being more readily carried by these MGEs. The USA, China, and Belgium are key origin regions for high-risk ARGs in , while Australia, France and Netherlands are significant introduction regions. This study provides essential data for tackling the global AMR crisis.
在“同一健康”框架下,对不同国家和地区的抗菌药物耐药性(AMR)进行全面分析至关重要。高风险的抗菌药物耐药基因(ARGs)对人类健康构成严重威胁,但对此的系统性研究却很匮乏。本研究利用现有的风险评估系统开发了一个高风险ARGs数据库,并探索了基于基因组的高风险ARGs调查工作流程。我们调查了一种常见的临床病原体,以了解高风险ARGs的流行病学特征,包括其主要来源和去向。结果显示,高风险ARGs在……中广泛存在,其中……最为丰富,……分布最广。万古霉素_ARGs(……)的组合最为普遍。ST1579携带的高风险ARGs最多,携带高风险ARGs的前五个序列类型(STs)均来自医院特定的CC17克隆谱系(进化枝A1)。同样,……、……和万古霉素_ARGs阳性菌株也属于与医院感染相关的谱系进化枝A1。恶唑烷酮类_ARGs(……)阳性菌株主要来自与动物相关的进化枝A2谱系。……是一种具有潜在暴发风险的最后手段抗生素ARG,需要特别关注。此外,质粒、转座子(Tn)、插入序列(IS)和整合接合元件(ICE)对编码高风险ARGs表现出不同的偏好,……更容易被这些移动遗传元件(MGEs)携带。美国、中国和比利时是……中高风险ARGs的主要起源地区,而澳大利亚、法国和荷兰是重要的传入地区。本研究为应对全球AMR危机提供了重要数据。