Wang Xiaofei, Liu Liangpo, Zhang Weibing, Zhang Jie, Du Xiaoyan, Huang Qingyu, Tian Meiping, Shen Heqing
Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry & Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China; Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China.
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China.
Environ Pollut. 2017 Oct;229:168-176. doi: 10.1016/j.envpol.2017.04.086. Epub 2017 Jun 6.
Previous in vivo and in vitro studies have linked perfluorinated compound (PFC) exposure with metabolic interruption, but the inter-species difference and high treatment doses usually make the results difficult to be extrapolated to humans directly. The best strategy for identifying the metabolic interruption may be to establish the direct correlations between monitored PFCs data and metabolic data on human samples. In this study, serum metabolome data and PFC concentrations were acquired for a Chinese adult male cohort. The most abundant PFCs are PFOA and PFOS with concentration medians 7.56 and 12.78 nM, respectively; in together they count around 81.6% of the total PFCs. PFC concentration-related serum metabolic profile changes and the related metabolic biomarkers were explored by using partial least squares-discriminant analysis (PLS-DA). Respectively taking PFOS, PFOA and total PFC as the classifiers, serum metabolome can be differentiated between the lowest dose group (1st quartile PFCs) and the highest PFC dose group (4th quartile PFCs). Ten potential PFC biomarkers were identified, mainly involving in pollutant detoxification, antioxidation and nitric oxide (NO) signal pathways. These suggested that low-level environmental PFC exposure has significantly adverse impacts on glutathione (GSH) cycle, Krebs cycle, nitric oxide (NO) generation and purine oxidation in humans. To the best of our knowledge, this is the first report investigating the association of environmental PFC exposure with human serum metabolome alteration. Given the important biological functions of the identified biomarkers, we suggest that PFC could increase the metabolism syndromes risk including diabetes and cardiovascular diseases.
以往的体内和体外研究已将全氟化合物(PFC)暴露与代谢紊乱联系起来,但种间差异和高治疗剂量通常使结果难以直接外推至人类。识别代谢紊乱的最佳策略可能是建立监测的PFC数据与人类样本代谢数据之间的直接关联。在本研究中,获取了中国成年男性队列的血清代谢组数据和PFC浓度。最主要的PFC是全氟辛酸(PFOA)和全氟辛烷磺酸(PFOS),浓度中位数分别为7.56和12.78 nM;它们合计约占总PFC的81.6%。采用偏最小二乘判别分析(PLS-DA)探讨了PFC浓度相关的血清代谢谱变化及相关代谢生物标志物。分别以PFOS、PFOA和总PFC作为分类变量,血清代谢组可在最低剂量组(第1四分位数PFCs)和最高PFC剂量组(第4四分位数PFCs)之间进行区分。确定了10种潜在的PFC生物标志物,主要涉及污染物解毒、抗氧化和一氧化氮(NO)信号通路。这些结果表明,低水平环境PFC暴露对人类的谷胱甘肽(GSH)循环、三羧酸循环、一氧化氮(NO)生成和嘌呤氧化有显著不利影响。据我们所知,这是首篇研究环境PFC暴露与人类血清代谢组改变之间关联的报告。鉴于所确定生物标志物的重要生物学功能,我们认为PFC可能会增加包括糖尿病和心血管疾病在内的代谢综合征风险。