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http://dx.doi.org/10.5668/JEHS.2021.47.6.505

A Systematic Review of Toxicological Studies to Identify the Association between Environmental Diseases and Environmental Factors  

Ka, Yujin (Department of Environmental Health, Graduate School at Yongin University)
Ji, Kyunghee (Department of Environmental Health, Graduate School at Yongin University)
Publication Information
Journal of Environmental Health Sciences / v.47, no.6, 2021 , pp. 505-512 More about this Journal
Abstract
Background: The occurrence of environmental disease is known to be associated with chronic exposure to toxic chemicals, including waterborne contaminants, air/indoor pollutants, asbestos, ingredients in humidifier disinfectants, etc. Objectives: In this study, we reviewed toxicological studies related to environmental disease as defined by the Environmental Health Act in Korea and toxic chemicals. We also suggested a direction for future toxicological research necessary for the prevention and management of environmental disease. Methods: Trends in previous studies related to environmental disease were investigated through PubMed and Web of Science. A detailed review was provided on toxicological studies related to the humidifier disinfectants. We identified adverse outcome pathways (AOPs) that can be linked to the induction of environmental diseases, and proposed a chemical screening system that uses AOP, chemical toxicity big data, and deep learning models to select chemicals that induce environmental disease. Results: Research on chemical toxicity is increasing every year, but there is a limitation to revealing a clear causal relationship between exposure to chemicals and the occurrence of environmental disease. It is necessary to develop various exposure- and effect-biomarkers related to disease occurrence and to conduct toxicokinetic studies. A novel chemical screening system that uses AOP and chemical toxicity big data could be useful for selecting chemicals that cause environmental diseases. Conclusions: From a toxicological point of view, developing AOP related to environmental diseases and a deep learning-based chemical screening system will contribute to the prevention of environmental diseases in advance.
Keywords
Adverse outcome pathway; big data; chemical; environmental disease; toxicity;
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