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Domestic and wild animals as sentinels for environmental monitoring of emerging contaminants: a One Health framework for biomonitoring and human exposure assessment.

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This review paper summarizes existing research on using pets, farm animals, and wildlife to track pollutants like PFAS chemicals, microplastics, and pesticides in the environment. It proposes a monitoring framework showing how signals from these animals could help identify contamination hotspots and guide further checks on human exposure, though animal findings alone cannot prove human health risk.

Body Systems
Models

Emerging contaminants are increasingly detected across environmental, domestic, agricultural and food-chain matrices, where low-dose chronic exposure, mixtures, and delayed toxicological outcomes challenge conventional human-centred surveillance. This critical narrative review and monitoring-framework article uses structured keyword selection and literature mapping informed by SANRA quality criteria to integrate evidence on companion animals, livestock and wildlife as sentinels of per- and polyfluoroalkyl substances (PFAS), endocrine disruptors, micro- and nanoplastics, pesticides, pharmaceuticals, and food-chain contaminants. Companion animals can support reconstruction of shared indoor and lifestyle exposures; livestock can identify contamination at the interface between feed, water, soil, and animal-derived foods; and wildlife can integrate ecosystem, trophic, and landscape-level exposure. The proposed framework outlines monitoring modules, normalization considerations, biospecimen-banking options, and tiered operational triggers connecting sentinel detection to environmental verification and targeted human biomonitoring. Two application models-a hypothetical localized PFAS plume involving waterfowl and dairy cattle and an evidence-informed Arctic sled dog model for chronic long-range transported mixtures-illustrate how animal signals can support exposure reconstruction, hotspot identification, and public-health prioritization. Animal sentinel evidence should be interpreted as early warning and triangulating evidence, not as stand-alone proof of human health risk.

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