Zhou Haiyang, Jia Chenghao, Shen Ping, Huang Chenghu, Teng Lin, Wu Beibei, Wang Zining, Wang Haoqiu, Xiao Yonghong, Baker Stephen, Weill François-Xavier, Li Yan, Yue Min
Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China.
Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.
Nat Med. 2025 Apr 9. doi: 10.1038/s41591-025-03644-4.
Extraintestinal infections caused by Enterobacteriaceae represent a global concern, further exacerbated by the growing prevalence of antimicrobial resistance (AMR). Among these, invasive nontyphoidal Salmonella (iNTS) infections have become increasingly challenging to manage, and their global spread remains poorly understood. Here we compiled 1,115 patient records and generated a comprehensive genomic dataset on iNTS. Age and sex emerged as significant risk factors, with Salmonella Enteritidis identified as a major cause. We observed serovar-specific AMR patterns, with notable resistance to fluoroquinolones and third-generation cephalosporins. A global phylogenomic analysis of Enteritidis revealed three distinct clades, highlighting the accumulation of AMR determinants during its international spread. Importantly, our genomic and transmission analyses suggest that iNTS infections may involve human-to-human transmission, with diarrheal patients acting as potential intermediaries, deviating from typical zoonotic pathways. Collectively, our newly generated cohort and iNTS genomic dataset provide a framework for precise local iNTS burden and underscore emerging transmission trends.
肠杆菌科细菌引起的肠外感染是一个全球关注的问题,抗菌药物耐药性(AMR)的日益流行使其进一步恶化。其中,侵袭性非伤寒沙门氏菌(iNTS)感染的治疗变得越来越具有挑战性,其在全球范围内的传播情况仍知之甚少。在这里,我们汇编了1115份患者记录,并生成了一个关于iNTS的综合基因组数据集。年龄和性别是显著的风险因素,肠炎沙门氏菌被确定为主要病因。我们观察到血清型特异性的AMR模式,对氟喹诺酮类和第三代头孢菌素具有显著耐药性。对肠炎沙门氏菌的全球系统基因组分析揭示了三个不同的进化枝,突出了AMR决定因素在其国际传播过程中的积累。重要的是,我们的基因组和传播分析表明,iNTS感染可能涉及人传人,腹泻患者可能是潜在的传播媒介,这与典型的人畜共患病传播途径不同。总体而言,我们新生成的队列和iNTS基因组数据集为精确了解当地iNTS负担提供了一个框架,并强调了新出现的传播趋势。