Associations of exposure to blood and urinary heavy metal mixtures with psoriasis risk among U.S. adults: A cross-sectional study

银屑病 医学 泌尿系统 重金属 横断面研究 内科学 环境卫生 皮肤病科 环境化学 化学 病理
作者
Yuting Chen,Zhipeng Pan,Jiran Shen,Ye Wu,Lanlan Fang,Shanshan Xu,Yubo Ma,Hui Zhao,Faming Pan
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:887: 164133-164133 被引量:49
标识
DOI:10.1016/j.scitotenv.2023.164133
摘要

Accumulating evidence showed that environmental exposure to toxic metals was harmful to human health. However, information about the effects of exposure to metal mixtures on psoriasis was scarce. To investigate the independent and comprehensive associations between heavy metal co-exposure and psoriasis in adults, data of 6534 adults aged 20–80 years from the National Health and Nutrition Examination Survey (NHANES) were used. Among them, 187 (2.86 %) were diagnosed with psoriasis and the rest were participants without psoriasis. We examined the independent and combined associations of 3 blood metals and 11 urinary metals with psoriasis risk. In the single-metal analyses, urinary barium (Ba), cesium (Cs), antimony (Sb), uranium (Ur), and cadmium (Cd) were positively correlated with psoriasis risk, while urinary molybdenum (Mo) was identified as a protective factor for psoriasis. Moreover, weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) models consistently revealed the positive effect of urinary metal co-exposure on psoriasis risk. The associations were more evident in the young and middle-aged group than the elderly group. In the urinary mixtures, Ba was the highest weighted metal in the whole population and the young and middle-aged people, whereas Sb was the top weighted metal in the elderly group. Additionally, BKMR analysis revealed the potential interaction between certain components of urinary metal mixtures in psoriasis. The results of quantile-based g computation (qgcomp) model further proved the toxic effect of urinary metal mixtures on psoriasis, and the positive linear relationship between urinary Ba and psoriasis risk was identified by restricted cubic splines (RCS) regression. We concluded that co-exposure to multiple heavy metals was associated with psoriasis risk. Given the limitations of the NHANES study, further prospective designed studies are warranted.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
打打应助嘉仔采纳,获得10
1秒前
草拟大坝完成签到 ,获得积分0
3秒前
一个头两个大完成签到,获得积分10
5秒前
5秒前
JerryZ发布了新的文献求助10
7秒前
8秒前
FashionBoy应助好久不见采纳,获得10
9秒前
10秒前
WY完成签到 ,获得积分10
11秒前
12秒前
0015发布了新的文献求助10
12秒前
14秒前
15秒前
剑指天涯完成签到,获得积分10
16秒前
16秒前
背后大白发布了新的文献求助10
18秒前
嘉仔发布了新的文献求助10
19秒前
无花果应助JerryZ采纳,获得10
19秒前
hchen发布了新的文献求助10
20秒前
hahaha完成签到,获得积分20
21秒前
苍蓝寸心完成签到,获得积分10
21秒前
22秒前
yiyi发布了新的文献求助10
23秒前
0015发布了新的文献求助10
23秒前
易安发布了新的文献求助10
24秒前
25秒前
苍蓝寸心发布了新的文献求助10
27秒前
汉堡包应助秦路采纳,获得10
29秒前
善学以致用应助0015采纳,获得10
29秒前
30秒前
悦耳的谷芹完成签到,获得积分10
32秒前
32秒前
carryxu完成签到,获得积分10
33秒前
伶俐百川完成签到,获得积分10
34秒前
34秒前
脑洞疼应助liuzengzhang666采纳,获得10
35秒前
小宋发布了新的文献求助10
36秒前
36秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3959791
求助须知:如何正确求助?哪些是违规求助? 3506016
关于积分的说明 11127539
捐赠科研通 3237976
什么是DOI,文献DOI怎么找? 1789411
邀请新用户注册赠送积分活动 871758
科研通“疑难数据库(出版商)”最低求助积分说明 803019