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Thyroid Hormone Biomonitoring:A Review on Their Metabolism and Machine-Learning Based Analysis on Effects of Endocrine Disrupting Chemicals

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Environment & Health 2024年第6期2卷 350-372页

作者： Shijie Chen Mengjie Yu Yiming Yao Yongcheng Li Ana He Zijun Zhou Liyang Pan Nan Xiao Haining Luo Hongwen Sun MOE Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300071China Tianjin Tianshi College Tianjin 301700China Dalian Center for Disease Control and Prevention DalianLiaoning Province 116000China Department of Center for Reproductive Medicine Tianjin Central Hospital Of Gynecology Obstetrics/Tianjin Key Laboratory Of Human Development And Reproductive RegulationTianjin 300052China

The thyroid is an essential endocrine organ in human body,and thyroid hormones(THs)are pivotal signaling molecules and mediators in various physiological ***,particularly in their free form,play a critical role in regulating body temperature and in the metabolism of lipid and glucose,making the maintenance of TH levels crucial for human *** undergo a series of metabolic processes,producing TH metabolites(THMs).THMs are significant in endocrine regulation,such as 3,5-diiothyronine(3,5-T2)and 3-iodothyronamine(3-T1AM),which exhibit activities akin to *** production and distribution of THMs are intricately linked to the function of specific organs and tissues,highlighting the need for advanced research into the determination and mechanisms of THMs in *** to endocrine disrupting chemicals(EDCs)can significantly affect the levels of thyroid stimulating hormone(TSH)and *** review utilizes machine learning to analyze epidemiological data,identifying potential EDCs that pose risks of hyperthyroidism and ***,it delves into the toxicological mechanisms of these EDCs,examining their effects on TH production,binding processes,related proteins,and metabolic *** approach effectively bridges the gap between epidemiological studies and toxicological researches,laying the groundwork for future research *** integrating epidemiological studies with machine learning,this review offers insightful perspectives on the potential risks associated with chemical exposure and underscores the necessity for further research in understanding the impact of EDCs on TH metabolism and TH-related health effects.

关键词： Thyroid stimulating hormone Emerging contaminants Data mining Thyroxine 3,3′,5-triiodothyronine Homeostasis

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