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镉暴露居民的尿代谢特征与肾毒性。

Urinary metabolic characterization with nephrotoxicity for residents under cadmium exposure.

机构信息

Food Science and Technology Program, Beijing Normal University-Hong Kong Baptist University United International College, Guangdong, Zhuhai 519087, China; State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong Special Administrative Region.

Department of Nutrition, Food Safety and Toxicology, West China School of Public Health, Sichuan University, Sichuan, Chengdu 610041, China.

出版信息

Environ Int. 2021 Sep;154:106646. doi: 10.1016/j.envint.2021.106646. Epub 2021 May 26.

DOI:10.1016/j.envint.2021.106646
PMID:34049269
Abstract

Cadmium is a well-known hazardous pollutant that mainly comes from dietary, tobacco and occupational exposure, posing threat to kidney. However, there is still a lack of systematic study on metabolic pathways and urinary biomarkers related to its nephrotoxicity under cadmium exposure for both females and males. In this study, a mass spectrometry-based metabolomics investigation of a cohort of 144 volunteers was conducted to explore sex-specific metabolic alteration and to screen biomarkers related to cadmium-induced nephrotoxicity. When the concentration of urinary cadmium increased, creatine pathway, amino acid metabolism especially the tryptophan metabolism, aminoacyl-tRNA biosynthesis, and purine metabolism were primarily influenced regardless of the gender. Also, the most specific biomarkers linked with nephrotoxicity based on the statistical analysis were detected including creatine, creatinine, l-tryptophan, adenine and uric acid. The study outcome might provide information to reflect the body burden and help improve health policy for risk assessment.

摘要

镉是一种众所周知的有害污染物,主要来自饮食、烟草和职业暴露,对肾脏构成威胁。然而,对于女性和男性在镉暴露下与肾毒性相关的代谢途径和尿生物标志物,仍缺乏系统的研究。在这项研究中,对 144 名志愿者进行了基于质谱的代谢组学研究,以探索性别特异性代谢变化,并筛选与镉诱导的肾毒性相关的生物标志物。当尿镉浓度增加时,无论性别如何,肌酸途径、氨基酸代谢(特别是色氨酸代谢)、氨酰-tRNA 生物合成和嘌呤代谢首先受到影响。此外,基于统计分析检测到与肾毒性最相关的最特异的生物标志物包括肌酸、肌酐、l-色氨酸、腺嘌呤和尿酸。该研究结果可能为反映体内负荷提供信息,并有助于改善风险评估的健康政策。

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