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中国“同一健康”各领域间的区域抗菌药物耐药基因流动

Regional antimicrobial resistance gene flow among the One Health sectors in China.

作者信息

Feng Yuqing, Lu Xin, Zhao Jiayong, Li Hongmin, Xu Jialiang, Li Zhenpeng, Wang Mengyu, Peng Yao, Tian Tian, Yuan Gailing, Zhang Yuan, Liu Jiaqi, Zhang Meihong, Zhu La A La Teng, Qu Geruo, Mu Yujiao, Guo Wanshen, Wu Yongning, Zhang Yuyu, Wang Dexiang, Hu Yongfei, Kan Biao

机构信息

State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.

出版信息

Microbiome. 2025 Jan 7;13(1):3. doi: 10.1186/s40168-024-01983-x.

Abstract

BACKGROUND

Antimicrobial resistance poses a significant threat to global health, with its spread intricately linked across human, animal, and environmental sectors. Revealing the antimicrobial resistance gene (ARG) flow among the One Health sectors is essential for better control of antimicrobial resistance.

RESULTS

In this study, we investigated regional ARG transmission among humans, food, and the environment in Dengfeng, Henan Province, China by combining large-scale metagenomic sequencing with culturing of resistant bacterial isolates in 592 samples. A total of 40 ARG types and 743 ARG subtypes were identified, with a predominance of multidrug resistance genes. Compared with microbes from human fecal samples, those from food and environmental samples showed a significantly higher load of ARGs. We revealed that dietary habits and occupational exposure significantly affect ARG abundance. Pseudomonadota, particularly Enterobacteriaceae, were identified as the main ARG carriers shaping the resistome. The resistome in food samples was found more affected by mobile genetic elements (MGEs), whereas in environmental samples, it was more associated with the microbial composition. We evidenced that horizontal gene transfer (HGT) mediated by plasmids and phages, together with strain transmission, particularly those associated with the Enterobacteriaceae members, drive regional ARG flow. Lifestyle, dietary habits, and occupational exposure are all correlated with ARG dissemination and flies and food are important potential sources of ARGs to humans. The widespread mobile carbapenemase gene, OXA-347, carried by non-Enterobacteriaceae bacteria in the human gut microbiota, requires particular attention. Finally, we showed that machine learning models based on microbiome profiles were effective in predicting the presence of carbapenem-resistant strains, suggesting a valuable approach for AMR surveillance.

CONCLUSIONS

Our study provides a full picture of regional ARG transmission among the One Health sectors in a county-level city in China, which facilitates a better understanding of the complex routes of ARG transmission and highlights new points of focus for AMR surveillance and control. Video Abstract.

摘要

背景

抗菌药物耐药性对全球健康构成重大威胁,其传播在人类、动物和环境领域之间错综复杂地相互关联。揭示“同一健康”各领域之间的抗菌药物耐药基因(ARG)流动对于更好地控制抗菌药物耐药性至关重要。

结果

在本研究中,我们通过将大规模宏基因组测序与对592份样本中耐药细菌分离株的培养相结合,调查了中国河南省登封市人类、食物和环境之间的区域ARG传播情况。共鉴定出40种ARG类型和743种ARG亚型,其中多药耐药基因占主导。与人类粪便样本中的微生物相比,食物和环境样本中的微生物显示出显著更高的ARG负荷。我们发现饮食习惯和职业暴露会显著影响ARG丰度。假单胞菌门,尤其是肠杆菌科,被确定为塑造耐药基因组的主要ARG携带者。食物样本中的耐药基因组受移动遗传元件(MGEs)影响更大,而在环境样本中,它与微生物组成的关联更大。我们证明由质粒和噬菌体介导的水平基因转移(HGT)以及菌株传播,特别是与肠杆菌科成员相关的传播,驱动了区域ARG流动。生活方式、饮食习惯和职业暴露都与ARG传播相关,苍蝇和食物是人类ARG的重要潜在来源。人类肠道微生物群中非肠杆菌科细菌携带的广泛传播的碳青霉烯酶基因OXA - 347需要特别关注。最后,我们表明基于微生物组谱的机器学习模型可有效预测耐碳青霉烯菌株的存在,这为抗菌药物耐药性监测提供了一种有价值的方法。

结论

我们的研究全面呈现了中国一个县级市“同一健康”各领域之间的区域ARG传播情况,有助于更好地理解ARG传播的复杂途径,并突出了抗菌药物耐药性监测和控制的新重点。视频摘要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ccf/11705761/582f421c1f4a/40168_2024_1983_Fig1_HTML.jpg

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