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构建环境化学-蛋白质相互作用网络 (eCPIN):一种用于鉴定生物活性化学污染物的暴露组学策略。

Building the Environmental Chemical-Protein Interaction Network (eCPIN): An Exposome-Wide Strategy for Bioactive Chemical Contaminant Identification.

机构信息

Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada.

School of the Environment, University of Toronto, Toronto, Ontario M5S 3H6, Canada.

出版信息

Environ Sci Technol. 2023 Mar 7;57(9):3486-3495. doi: 10.1021/acs.est.2c02751. Epub 2023 Feb 24.

DOI:10.1021/acs.est.2c02751
PMID:36827403
Abstract

Although advancements in nontargeted analysis have made it possible to detect hundreds of chemical contaminants in a single run, the current environmental toxicology approaches lag behind, precluding the transition from analytical chemistry efforts to health risk assessment. We herein highlighted a recently developed "top-down" bioanalytical method, protein Affinity Purification with Nontargeted Analysis (APNA), to screen for bioactive chemical contaminants at the "exposome-wide" level. To achieve this, a tagged functional protein is employed as a "bait" to directly isolate bioactive chemical contaminants from environmental mixtures, which are further identified by nontargeted analysis. Advantages of this protein-guided approach, including the discovery of new bioactive ligands as well as new protein targets for known chemical contaminants, were highlighted by several case studies. Encouraged by these successful applications, we further proposed a framework, i.e., the environmental Chemical-Protein Interaction Network (eCPIN), to construct a complete map of the 7 billion binary interactions between all chemical contaminants (>350,000) and human proteins (∼20,000) via APNA. The eCPIN could be established in three stages through strategically prioritizing the ∼20,000 human proteins, such as focusing on the 48 nuclear receptors (e.g., thyroid hormone receptors) in the first stage. The eCPIN will provide an unprecedented throughput for screening bioactive chemical contaminants at the exposome-wide level and facilitate the identification of molecular initiating events at the proteome-wide level.

摘要

虽然非靶向分析的进步使得在单次运行中检测数百种化学污染物成为可能,但当前的环境毒理学方法却滞后不前,无法将分析化学工作过渡到健康风险评估。在此,我们重点介绍了一种新开发的“自上而下”的生物分析方法——基于非靶向分析的蛋白质亲和纯化(APNA),以在“暴露组范围”内筛选生物活性化学污染物。为此,采用标记的功能蛋白作为“诱饵”,直接从环境混合物中分离生物活性化学污染物,然后通过非靶向分析进一步鉴定。通过几个案例研究强调了这种基于蛋白质的方法的优势,包括发现新的生物活性配体以及已知化学污染物的新蛋白质靶标。受这些成功应用的鼓舞,我们进一步提出了一个框架,即环境化学-蛋白质相互作用网络(eCPIN),通过 APNA 构建所有化学污染物(>350,000)与人类蛋白质(~20,000)之间 70 亿个二元相互作用的完整图谱。eCPIN 可以通过策略性地优先考虑约 20,000 个人类蛋白质(例如,在第一阶段重点关注 48 个核受体(如甲状腺激素受体))分三个阶段建立。eCPIN 将为在暴露组范围内筛选生物活性化学污染物提供前所未有的通量,并有助于在蛋白质组范围内识别分子起始事件。

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