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推进抗菌药物耐药性监测:“同一健康”与大数据整合的融合:将“同一健康”与大数据融合以应对抗菌药物耐药性

Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.

作者信息

Singh Samradhi, Kumar Manoj, Sarma Devojit Kumar, Kumawat Manoj, Verma Vinod, Kriti Mona, Tiwari Rajnarayan

机构信息

ICMR-National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhouri, Bhopal, Madhya Pradesh, 462030, India.

Department of Hematology, Stem Cell Research Centre, Sanjay Gandhi Post-Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India.

出版信息

Ecohealth. 2025 Jun 16. doi: 10.1007/s10393-025-01724-y.

DOI:10.1007/s10393-025-01724-y
PMID:40522529
Abstract

Antibiotic resistance poses a critical global health threat, demanding robust surveillance systems to monitor its prevalence, patterns, and trends. The One Health approach has emerged as a comprehensive framework, emphasizing the interconnectedness of human health, animal health, and the environment in addressing this complex issue. This article explores the potential of One Health-based antibiotic resistance surveillance, integrating big data analytics and interdisciplinary collaboration. Challenges and opportunities in harmonizing surveillance efforts across sectors are discussed, underscoring the importance of data sharing and standardization. Advanced technologies like genomics and metagenomics are examined for understanding the genetic basis of antibiotic resistance and tracking its spread. The article also highlights the potential of real-time monitoring and early warning systems to inform evidence-based policies and antimicrobial stewardship programs. By analyzing the state-of-the-art in antibiotic resistance surveillance, this article sheds light on the transformative potential of One Health approaches, leveraging big data and interdisciplinary collaboration to combat antibiotic resistance effectively. The urgency of adopting a united global effort to safeguard the efficacy of antibiotics for future generations is emphasized.

摘要

抗生素耐药性对全球健康构成了严峻威胁,需要强大的监测系统来监测其流行情况、模式和趋势。“同一健康”方法已成为一个全面的框架,强调在解决这一复杂问题时人类健康、动物健康和环境之间的相互联系。本文探讨了基于“同一健康”的抗生素耐药性监测的潜力,整合了大数据分析和跨学科合作。讨论了跨部门协调监测工作中的挑战和机遇,强调了数据共享和标准化的重要性。研究了基因组学和宏基因组学等先进技术,以了解抗生素耐药性的遗传基础并追踪其传播。本文还强调了实时监测和早期预警系统在为循证政策和抗菌药物管理计划提供信息方面的潜力。通过分析抗生素耐药性监测的最新情况,本文揭示了“同一健康”方法的变革潜力,利用大数据和跨学科合作有效对抗抗生素耐药性。强调了采取全球统一行动以保障抗生素对子孙后代有效性的紧迫性。

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Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.推进抗菌药物耐药性监测:“同一健康”与大数据整合的融合:将“同一健康”与大数据融合以应对抗菌药物耐药性
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本文引用的文献

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mBio. 2024 Oct 16;15(10):e0242824. doi: 10.1128/mbio.02428-24. Epub 2024 Sep 17.
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Innovative applications of artificial intelligence in zoonotic disease management.人工智能在人畜共患病管理中的创新应用。
Sci One Health. 2023 Nov 3;2:100045. doi: 10.1016/j.soh.2023.100045. eCollection 2023.
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Surveillance and response strategies for zoonotic diseases: a comprehensive review.人畜共患病的监测与应对策略:全面综述
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Implications of Artificial Intelligence in Addressing Antimicrobial Resistance: Innovations, Global Challenges, and Healthcare's Future.人工智能在应对抗菌药物耐药性方面的影响:创新、全球挑战与医疗保健的未来。
Antibiotics (Basel). 2024 May 29;13(6):502. doi: 10.3390/antibiotics13060502.
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Important soil microbiota's effects on plants and soils: a comprehensive 30-year systematic literature review.重要土壤微生物群对植物和土壤的影响:一项为期30年的全面系统文献综述
Front Microbiol. 2024 Mar 25;15:1347745. doi: 10.3389/fmicb.2024.1347745. eCollection 2024.
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A metagenomic study of antibiotic resistance genes in a hypereutrophic subtropical lake contaminated by anthropogenic sources.人为污染的富营养化亚热带湖泊中抗生素抗性基因的宏基因组学研究
Sci Total Environ. 2024 Jun 1;927:172216. doi: 10.1016/j.scitotenv.2024.172216. Epub 2024 Apr 5.
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Antimicrobial learning systems: an implementation blueprint for artificial intelligence to tackle antimicrobial resistance.抗菌学习系统:人工智能应对抗菌药物耐药性的实施蓝图。
Lancet Digit Health. 2024 Jan;6(1):e79-e86. doi: 10.1016/S2589-7500(23)00221-2.
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Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology.基因组技术在临床微生物学中的当前应用及未来展望
Antibiotics (Basel). 2023 Oct 30;12(11):1580. doi: 10.3390/antibiotics12111580.
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Genomics for public health and international surveillance of antimicrobial resistance.基因组学在公共卫生和抗菌药物耐药性国际监测中的应用。
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Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria.检测抗生素耐药细菌的当前及未来技术
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