Targetomics for the Exposome: Decoding the Molecular First Domino for Next-Generation Environmental Toxicology

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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Publication Details

Journal
Environmental Science & Technology
Published
2026-05-29
DOI
https://doi.org/10.1021/acs.est.6c03187
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00

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article

Targetomics for the Exposome: Decoding the Molecular First Domino for Next-Generation Environmental Toxicology

Mingliang Fang, Ying Zhang, Ailin Zhao
Environmental Science & Technology
Health, Environment, Cognitive Aging
article

Targetomics for the Exposome: Decoding the Molecular First Domino for Next-Generation Environmental Toxicology

Mingliang Fang, Ying Zhang, Ailin Zhao
article en

Abstract

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.

Environmental Science & Technology
Fudan University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Health, Environment, Cognitive Aging
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