操作化
风险分析(工程)
相关性(法律)
不良结局途径
计算机科学
限制
数据科学
生化工程
钥匙(锁)
计算生物学
下游(制造业)
预测(人工智能)
环境监测
多样性(控制论)
生命银行
风险评估
环境毒理学
管理科学
环境污染
系统生物学
机制(生物学)
控制(管理)
生物
光学(聚焦)
多米诺骨牌
上游(联网)
趋同(经济学)
作者
Ailin Zhao,Ying Zhang,Mingliang Fang
标识
DOI:10.1021/acs.est.6c03187
摘要
The rapid expansion of environmental chemicals has intensified the demand for mechanism-informed risk assessment. However, for most environmental chemicals, molecular initiating events (MIEs)─the "first domino" in adverse outcome pathways─remain poorly defined, limiting mechanistic resolution of toxicity. This gap stems from several limitations in current approaches: the narrow focus on predefined protein targets, the difficulty in distinguishing direct molecular triggers from downstream biological noise, and the lack of relevance to real-world exposures. To overcome these bottlenecks, we propose targetomics, an unbiased framework that leverages proteome-wide mapping of pollutant-protein interactions and integrates with systems biology to identify MIEs that define the mode of action. We outline three strategic pillars to operationalize this concept: (i) expanding target coverage through integration of global chemoproteomics; (ii) prioritizing key MIEs through engagement specificity, cross-layer convergence across multiomics and phenotypes, functional control within biological networks, and causal validation; and (iii) enhancing real-world relevance by resolving mixture effect complexity, temporal dynamics, and organ-specific target engagement. By deciphering where and how chemicals engage biological systems, targetomics facilitates bottom-up causal reconstruction of toxicity pathways, helping resolve the mechanistic "black box" of environmental toxicology and informing regulatory decisions under increasingly complex exposure scenarios.
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