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解析广泛人群中尿金属暴露与骨质疏松症风险之间的关系:一项全面的监督与非监督分析

Disentangling the Relationship Between Urinary Metal Exposure and Osteoporosis Risk Across a Broad Population: A Comprehensive Supervised and Unsupervised Analysis.

作者信息

Liu Jianing, Wang Kai

机构信息

Medical Faculty, Ulm University, 89075 Ulm, Germany.

Medical School, Southeast University, Nanjing 210096, China.

出版信息

Toxics. 2024 Nov 28;12(12):866. doi: 10.3390/toxics12120866.

Abstract

: Limited evidence links urinary metal exposure to osteoporosis in broad populations, prompting this study to cover this knowledge gap using supervised and unsupervised approaches. : This study included 15,923 participants from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2020. Urinary concentrations of nine metals-barium (Ba), cadmium (Cd), cobalt (Co), cesium (Cs), molybdenum (Mo), lead (Pb), antimony (Sb), thallium (Tl), and tungsten (Tu)-were measured using inductively coupled plasma mass spectrometry (ICP-MS). Osteoporosis was assessed via dual-energy X-ray absorptiometry. A weighted quantile sum (WQS) regression analysis evaluated each metal's contribution to osteoporosis risk. Partitioning around medoids (PAM) clustering identified the high- and low-exposure groups, and their association with the risk and prognosis of osteoporosis was evaluated. : WQS regression identified Cd as a significant osteoporosis risk factor in the general population (odds ratio (OR) = 1.19, 95% confidence interval (CI): 1.08, 1.31, weight = 0.66). Pb notably affected those individuals aged 30-49 years and classified as Mexican American, while Sb impacted Black individuals. PAM clustering showed that the high-exposure group had a significantly higher risk of osteoporosis (OR = 1.74, 95% CI: 1.43, 2.12) and cumulative mortality risk. : Urinary metals are associated with the risk and prognosis of osteoporosis.

摘要

有限的证据表明,在广大人群中,尿中金属暴露与骨质疏松症有关,促使本研究采用有监督和无监督的方法来填补这一知识空白。本研究纳入了1999年至2020年期间美国国家健康与营养检查调查(NHANES)的15923名参与者。使用电感耦合等离子体质谱法(ICP-MS)测量了九种金属——钡(Ba)、镉(Cd)、钴(Co)、铯(Cs)、钼(Mo)、铅(Pb)、锑(Sb)、铊(Tl)和钨(Tu)——的尿浓度。通过双能X线吸收法评估骨质疏松症。加权分位数和(WQS)回归分析评估了每种金属对骨质疏松症风险的贡献。围绕中心点划分(PAM)聚类确定了高暴露组和低暴露组,并评估了它们与骨质疏松症风险和预后的关联。WQS回归确定镉是一般人群中显著的骨质疏松症风险因素(优势比(OR)=1.19,95%置信区间(CI):1.08,1.31,权重=0.66)。铅对年龄在30 - 49岁且被归类为墨西哥裔美国人的个体有显著影响,而锑对黑人个体有影响。PAM聚类显示,高暴露组患骨质疏松症的风险显著更高(OR = 1.74,95% CI:1.43,2.12),且累积死亡风险更高。尿中金属与骨质疏松症的风险和预后相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c13/11679131/20cd2a7d2623/toxics-12-00866-g001.jpg

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