Suppr超能文献

镉暴露与N-乙酰-β-D-氨基葡萄糖苷酶升高的基准剂量:一项荟萃分析。

Benchmark dose for cadmium exposure and elevated N-acetyl-β-D-glucosaminidase: a meta-analysis.

作者信息

Liu CuiXia, Li YuBiao, Zhu ChunShui, Dong ZhaoMin, Zhang Kun, Zhao YanBin, Xu YiLu

机构信息

School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.

Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), Mawson Lakes, 5095, SA, Australia.

出版信息

Environ Sci Pollut Res Int. 2016 Oct;23(20):20528-20538. doi: 10.1007/s11356-016-7214-z. Epub 2016 Jul 27.

Abstract

Cadmium (Cd) is a well-known nephrotoxic contaminant, and N-acetyl-β-D-glucosaminidase (NAG) is considered to be an early and sensitive marker of tubular dysfunction. The link between Cd exposure and NAG level enables us to derive the benchmark dose (BMD) of Cd. Although several reports have already documented urinary Cd (UCd)-NAG relationships and BMD estimations, high heterogeneities arise due to the sub-populations (age, gender, and ethnicity) and BMD methodologies being employed. To clarify the influences that these variables exert, firstly, a random effect meta-analysis was performed in this study to correlate the UCd and NAG based on 92 datasets collected from 30 publications. Later, this established correlation (Ln(NAG) = 0.51 × Ln(UCd) + 0.83) was applied to derive the UCd BMD of 1.76 μg/g creatinine and 95 % lower confidence limit of BMD (BMDL) of 1.67 μg/g creatinine. While the regressions for different age groups and genders differed slightly, it is age and not gender that significantly affects BMD estimations. Ethnic differences may require further investigation given that limited data is currently available. Based on a comprehensive and systematic literature review, this study is a new attempt to quantify the UCd-NAG link and estimate BMD.

摘要

镉(Cd)是一种广为人知的具有肾毒性的污染物,而N-乙酰-β-D-氨基葡萄糖苷酶(NAG)被认为是肾小管功能障碍的早期敏感标志物。镉暴露与NAG水平之间的联系使我们能够得出镉的基准剂量(BMD)。尽管已有几份报告记录了尿镉(UCd)与NAG的关系以及BMD估计值,但由于所采用的亚人群(年龄、性别和种族)和BMD方法不同,出现了高度的异质性。为了阐明这些变量所产生的影响,本研究首先进行了随机效应荟萃分析,以根据从30篇出版物中收集的92个数据集将UCd与NAG进行关联。随后,应用这一已建立的相关性(Ln(NAG) = 0.51 × Ln(UCd) + 0.83)得出UCd的BMD为1.76 μg/g肌酐,BMD的95%下限置信区间(BMDL)为1.67 μg/g肌酐。虽然不同年龄组和性别的回归略有差异,但显著影响BMD估计值的是年龄而非性别。鉴于目前可用的数据有限,种族差异可能需要进一步研究。基于全面系统的文献综述,本研究是对量化UCd-NAG联系并估计BMD的一次新尝试。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验