Association between urinary neonicotinoid insecticide levels and dyslipidemia risk: A cross-sectional study in Chinese community-dwelling elderly

被引:8
作者
Sun, Jian [1 ,2 ]
He, Pei [1 ,2 ]
Wang, Rui [1 ,2 ]
Zhang, Zhong-Yuan [1 ,2 ]
Dai, Yu-Qing [1 ,2 ]
Li, Xiao-Yu [1 ,2 ]
Duan, Si-Yu [1 ,2 ]
Liu, Cai-Ping [4 ]
Hu, Hao [4 ]
Wang, Guang-Jun [4 ]
Zhang, Yan-Ping [4 ]
Xu, Fei [1 ,2 ,5 ]
Zhang, Rui [1 ,3 ,6 ]
Zhao, Yi [1 ,2 ,6 ]
Yang, Hui-Fang [1 ,2 ,6 ]
机构
[1] Ningxia Med Univ, Sch Publ Hlth, Yinchuan 750004, Ningxia, Peoples R China
[2] Key Lab Environm Factors & Chron Dis Control, Yinchuan 750004, Ningxia, Peoples R China
[3] Ningxia Med Univ, Ningxia Key Lab Cerebrocranial Dis, Yinchuan 750004, Ningxia, Peoples R China
[4] Yinchuan Ctr Dis Control & Prevent, Yinchuan 750004, Ningxia, Peoples R China
[5] Ningxia Ctr Dis Control & Prevent, Yinchuan 750004, Ningxia, Peoples R China
[6] 1160 Shengli St, Yinchuan 750004, Peoples R China
关键词
Urine; Neonicotinoids; Imidacloprid equivalent total; Dyslipidemia; Chinese community-dwelling elderly; DIET-INDUCED ADIPOSITY; EXPOSURE; ADIPOGENESIS; TOXICITY; HEALTH;
D O I
10.1016/j.jhazmat.2023.132159
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Experimental evidence has demonstrated that neonicotinoids (NEOs) exposure can cause lipid accumulation and increased leptin levels. However, the relationship between NEOs exposure and dyslipidemia in humans remains unclear, and the interactive effects of NEOs and their characteristic metabolites on dyslipidemia remain unknown. We detected 14 NEOs and their metabolites in urine samples of 500 individuals (236 and 264 with and without dyslipidemia, respectively) randomly selected from the baseline of the Yinchuan community-dwelling elderly cohort (Ningxia, China). The NEOs and their metabolites were widely detected in urine (87.2-99.6 %) samples, and the median levels ranged within 0.06-0.55 & mu;g/g creatinine. The positive associations and dose dependent relationships of thiacloprid, imidacloprid-olefin, and imidacloprid-equivalent total with dyslipidemia were validated using restricted cubic spline analysis. Mixture models revealed a positive association between the NEOs mixture and dyslipidemia risk, with urine desnitro-imidacloprid ranked as the top contributor. The Bayesian Kernel Machine Regression models showed that the NEOs mixtures were associated with increased dyslipidemia when the chemical mixtures were & GE; 25th percentile compared to their medians, and desnitroimidacloprid and imidacloprid-olefin were the major contributors to the combined effect. Given the widespread use of NEOs and the dyslipidemia pandemic, further investigations are urgently needed to confirm our findings and elucidate the underlying mechanisms.
引用
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页数:11
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