Nannaware Mrunal, Mayilswamy Neelaambhigai, Kandasubramanian Balasubramanian
Department of Chemical Engineering, Institute of Chemical Technology Mumbai, Marathwada Campus Jalna, Jalna, 431203, India.
Department of Metallurgical and Material Engineering, Defence Institute of Advanced Technology (DU), Girinagar, Pune, 411025, Maharashtra, India.
Environ Sci Pollut Res Int. 2024 Feb;31(9):12815-12831. doi: 10.1007/s11356-024-32082-x. Epub 2024 Jan 26.
Per- and polyfluoroalkyl substances (PFAS) are widespread contaminants stemming from various industrial and consumer products, posing a grave threat to both human health and ecosystems. PFAS contamination arises from multiple sources, including industrial effluents, packaging, and product manufacturing, accumulating in plants and impacting the food chain. Elevated PFAS levels in water bodies pose significant risks to human consumption. This review focuses on PFAS-induced neurological effects, highlighting disrupted dopamine signalling and structural neuron changes in humans. Animal studies reveal apoptosis and hippocampus dysfunction, resulting in memory loss and spatial learning issues. The review introduces the BKMR model, a machine learning technique, to decipher intricate PFAS-neurotoxicity relationships. Epidemiological data underscores the vulnerability of young brains to PFAS exposure, necessitating further research. Stricter regulations, industry monitoring, and responsible waste management are crucial steps to reduce PFAS exposure.
全氟和多氟烷基物质（PFAS）是源自各种工业和消费品的广泛污染物，对人类健康和生态系统都构成严重威胁。PFAS污染源自多种来源，包括工业废水、包装和产品制造，在植物中积累并影响食物链。水体中PFAS含量升高对人类消费构成重大风险。本综述重点关注PFAS引起的神经学影响，强调人类多巴胺信号传导中断和神经元结构变化。动物研究揭示了细胞凋亡和海马体功能障碍，导致记忆丧失和空间学习问题。该综述介绍了BKMR模型，这是一种机器学习技术，用于解读复杂的PFAS-神经毒性关系。流行病学数据强调了幼龄大脑对PFAS暴露的易感性，有必要进行进一步研究。更严格的法规、行业监测和负责任的废物管理是减少PFAS暴露的关键步骤。
