Exposome-Integrated, Multi-Omics and Predictive Toxicology of Developmental Pollutant Exposure in Zebrafish and other fish species with Translational Links to Human Risk

This Research Topic invites studies that integrate exposomics with multi-omics to define causal, predictive mechanisms by which environmental pollutants, including volatile organic compounds (VOCs), bisphenols, and PFASs, shape developmental trajectories and later-life health risk. The Research Topic accepts studies on different fish species, but we prioritize zebrafish as a high-throughput vertebrate model to uncover conserved gene–environment mechanisms, coupled with translational analyses that map findings to human genomic and epigenomic contexts. We welcome submissions that: Combine multi-omics layers (genomics or genetic variation, epigenomics, transcriptomics, proteomics, metabolomics) with exposomics approaches (untargeted/targeted exposure profiling, mixtures, time-resolved exposure characterization). Employ longitudinal designs from embryogenesis through adulthood, quantifying neurodevelopmental, metabolic, or cardiotoxic phenotypes and linking them to molecular pathways across time. Use computational modeling and machine learning to build and validate predictive signatures of toxicity and precision risk (e.g., multi-omics classifiers, mixture-response models, dose–time–response surfaces). Apply functional genomics (e.g., CRISPR perturbations, single-cell omics) to test causal roles of candidate genes, regulatory elements, or pathways implicated by exposome–omics integration. Develop or evaluate personalized biomarkers and mechanistically anchored endpoints that bridge zebrafish findings to humans (e.g., orthologous gene networks, conserved enhancer marks, cross-species eQTL/caQTL mapping, PRS-by-environment frameworks). Incorporate real-world exposure data, wearable or sensor-derived readouts, or high-throughput screening platforms to capture exposure variability and dynamics. Address translational implications for precision toxicology, including risk stratification, intervention points, and regulatory relevance. Scope Notes: Studies must move beyond descriptive associations to provide mechanistic insight, predictive modeling, and/or testable interventions or biomarkers. Single-analyte, single-omics, or purely descriptive studies without causal testing, prediction, or translational relevance will not be considered. Topic editors: Christopher J Martyniuk Source: https://www.frontiersin.org/research-topics/78029/exposome-integrated-multi-omics-and-predictive-toxicology-of-developmental-pollutant-exposure-in-zebrafish-and-other-fish-species-with-translational-links-to-human-risk