Qi Weipeng, Clark John M, Timme-Laragy Alicia R, Park Yeonhwa
Department of Food Science, University of Massachusetts, Amherst, MA, 01003, United States.
Department of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, 01003, United States.
Toxicol Environ Chem. 2020;102(1-4):1-36. doi: 10.1080/02772248.2020.1763997. Epub 2020 May 22.
Per- and polyfluoroalkyl substances, a group of fluoro-surfactants widely detected in the environment, wildlife and humans, have been linked to adverse health effects. A growing body of literature has addressed their effects on obesity, diabetes and non-alcoholic fatty liver disease/ non-alcoholic steatohepatitis. This review summarizes the brief historical use and chemistry of per- and polyfluoroalkyl substances, routes of human exposure, as well as the epidemiologic evidence for associations between exposure to per- and polyfluoroalkyl substances and the development of obesity, diabetes and non-alcoholic fatty liver disease/ non-alcoholic steatohepatitis. We identified 22 studies on obesity and 32 studies on diabetes, while only 1 study was found for non-alcoholic fatty liver disease/ non-alcoholic steatohepatitis by searching PubMed for human studies. Approximately 2/3 of studies reported positive associations between per- and polyfluoroalkyl substances exposure and the prevalence of obesity and/or type 2 diabetes. Causal links between per- and polyfluoroalkyl substances and obesity, diabetes and non-alcoholic fatty liver disease/ non-alcoholic steatohepatitis, however, require further large-scale prospective cohort studies combined with mechanistic laboratory studies to better assess these associations.
全氟和多氟烷基物质是一类在环境、野生动物和人类中广泛检测到的含氟表面活性剂,它们与不良健康影响有关。越来越多的文献探讨了它们对肥胖、糖尿病和非酒精性脂肪性肝病/非酒精性脂肪性肝炎的影响。本综述总结了全氟和多氟烷基物质的简要使用历史和化学性质、人类接触途径,以及接触全氟和多氟烷基物质与肥胖、糖尿病和非酒精性脂肪性肝病/非酒精性脂肪性肝炎发生之间关联的流行病学证据。通过在PubMed上搜索人体研究,我们确定了22项关于肥胖的研究和32项关于糖尿病的研究,而关于非酒精性脂肪性肝病/非酒精性脂肪性肝炎的研究仅发现1项。大约三分之二的研究报告了全氟和多氟烷基物质暴露与肥胖和/或2型糖尿病患病率之间的正相关。然而,全氟和多氟烷基物质与肥胖、糖尿病和非酒精性脂肪性肝病/非酒精性脂肪性肝炎之间的因果关系需要进一步的大规模前瞻性队列研究,并结合机制性实验室研究,以更好地评估这些关联。