增强现实在评估水中的抗生素风险:从微生物群-微观世界建模框架的细菌耐药性洞察力
Qingbin Yuan1, Yuying Chen1, Yating Zhang1
1State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing 210023, P. R. China.
Environmental science & technology
|August 13, 2025
概括
环境中的抗生素残留物会导致耐药性,这是传统评估错误的风险. 一个新的3M框架 (微生物群-微宇宙建模) 有效地评估了水生生态系统中的这种风险,揭示了高耐药性水平.
科学领域:
- 环境科学 环境科学
- 微生物学 微生物学
- 风险评估 风险评估
背景情况:
- 环境中的抗生素残留物有助于抗生素耐药性.
- 传统的生态风险评估 (例如,P-B-T标准) 不涉及抗生素耐药性.
- 水生微生物群表现出高水平的抗生素耐药性,即使在较低的环境度.
研究的目的:
- 提出和验证一种新的3M (微生物群-微宇宙建模) 框架,用于评估促进细菌耐药性的抗生素风险.
- 与传统的生态风险评估标准相比,建立更现实的风险门.
主要方法:
- 开发了一个3M框架,整合了基于微生物群的研究,微宇宙和生态/药理动力学建模.
- 应用了3M框架来评估长江的抗生素风险.
主要成果:
- 3M框架在水生微生物群中发现了高抗生素耐药性水平,与临床环境相比.
- 中等或高的抗生素风险分别在上游,中游和下游长江地区的21.7%,30.6%和47.3%的地点被检测到.
- 该框架提供了比P-B-T标准更现实的风险门.
结论:
- 3M框架是传统的生态风险评估的适应性,基于证据的补充.
- 这种方法与评估环境抗生素风险的监管要求日益增加相一致.
- 细菌耐药性是水生环境中抗生素风险评估的关键指标.
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