Analysis Of Human Exposure Characteristics And Health Risk Prediction Of Several Typical Endocrine Disruptors

Endocrine disrupting chemicals(EDCs)are a class of compounds with endocrine disrupting effects,which are widely existed in industrial and personal care products.The widespread use of EDCs has led to widespread concerns about the occurrence of EDCs in humans and concerns about whether human exposure to EDCs has health risks.In recent years,the development of machine learning has made it possible to use it for disease prediction and risk assessment.In this paper,the occurrence and composition distribution of several types of typical EDCs in human matrix were studied.Firstly,a UPLC-MS/MS method for the detection of several typical EDCs was developed,and then the pretreatment method for EDCs in urine and serum matrix was optimized(recovery rate in urine: 44%-149%,recovery rate in serum:41.2%-133%).The above method was used for subsequent actual sample detection and analysis.The developed method was used to detect the occurrence of EDCs in a total of 241 urine samples from Wuxi city and Taishun county,which with large differences in economic level.The general population in Wuxi area was found to be widely exposed to parabens(parabens),triclosan(TCS),bisphenols(bisphenols)and benzophenones(Bz Ps)compounds.The detection of the above compounds rates were all higher than 95%.The concentration of parabens in the urine of women was significantly higher than that of men(p<0.05).The population in Taishun was mainly exposed to parabens and Bz Ps.After calculating the health risk,it was found that both populations were at low exposure risk(HI<1).Exposure to EDCs in women of childbearing age may cause reproductive harm.Taking infertility as the research object,a total of 306 serum samples were collected to explore whether EDCs in serum were related to the occurrence of infertility.It was found that women of childbearing age were being exposed to at least two EDCs.Serum parabens,TCS,phthalate metabolites(m PAEs)and bisphenols were the main pollutants detected,and the detection rate was higher than 98%.The serum parabens,TCS and m PAEs of the infertile women were significantly higher than those of the control group(p<0.01).This was the first study to find differences in the serum concentrations of EDCs between infertile women and control women.Binary logistic regression modeling analysis showed that age,∑TCS+TCC and ∑ m PAEs(OR>1 and p<0.05)were all risk factors for infertility.The relative importance ranking of variables was obtained through random forest modeling,and the results showed that BPS and m PAEs had a high contribution to the model.Based on the above results,it is believed that there is a certain correlation between exposure to endocrine disruptors and infertility in women of childbearing age.