Evaluation of multiple organophosphate insecticide exposure in relation to altered thyroid hormones in NHANES 2007‐2008 adult population

全国健康与营养检查调查 代谢物 人口 三碘甲状腺素 激素 甲状腺 线性回归 生理学 医学 化学 内分泌学 内科学 环境卫生 数学 统计
作者
Massira Ousseni Diawara,Songtao Li,Mingzhi Zhang,Francis Manyori Bigambo,Xu Yang,Xu Wang,Tianyu Dong,Di Wu,Chenghao Yan,Yankai Xia
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier]
卷期号:273: 116139-116139 被引量:2
标识
DOI:10.1016/j.ecoenv.2024.116139
摘要

The thyroid gland is susceptible to chemical exposure such as organophosphate insecticides (OPIs). With the ubiquitous nature of these products, humans are simultaneously exposed to a multitude of chemicals. This study aimed to evaluate the association between an individual and a mixture of OPI metabolites and changes in serum thyroid hormone (TH) concentrations. The analyzed data were 1,434 participants from the United States National Health and Nutrition Examination Surveys (NHANES) cycle 2007‐2008. Generalized linear model (GLM) regression, weighted quantile sum (WQS), and adaptive least absolute shrinkage and selection operator (adaptive LASSO) regression were used to investigate the associations between urinary OPI metabolites and altered serum THs. In GLM, all of the five urinary OPI metabolites were inversely associated with free triiodothyronine (FT3) among the male subjects; meanwhile, higher thyroglobulin (Tg) was related to dimethylphosphate (DMP). Moreover, in WQS models, the metabolite mixture induced FT3 down-regulation (β = ‐0.209 (95% CI: ‐0.310, ‐0.114)), and caused an increased Tg concentration (β = 0.120 (95% CI: 0.024, 0.212)), however, any significant association was observed among female participants. Consistently, the weighted index and LASSO coefficient demonstrated dimethylthiophosphate (DMTP) as the strongest metabolite in the FT3 model (mean weight= 3.449e-01 and β =‐0.022, respectively), and dimethylphosphate (DMP) represented the highest association in the Tg model (mean weight= 9.873e-01 and β =‐0.020, respectively). Further research is required to confirm our results and investigate the clinical impacts of these disruptions.
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
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
yangyong发布了新的文献求助10
1秒前
1秒前
图图烤肉完成签到,获得积分10
2秒前
ajiaxi完成签到,获得积分10
2秒前
Bruce完成签到,获得积分10
3秒前
英俊的水彤完成签到 ,获得积分10
3秒前
刘金金完成签到,获得积分10
4秒前
4秒前
命运的X号发布了新的文献求助10
4秒前
5秒前
HJJHJH发布了新的文献求助10
5秒前
5秒前
爱听歌的电源完成签到,获得积分10
5秒前
善学以致用应助新的心跳采纳,获得10
5秒前
6秒前
陈梦雨发布了新的文献求助10
7秒前
复杂瑛完成签到,获得积分10
7秒前
7秒前
8秒前
眼睛大世开完成签到 ,获得积分10
8秒前
赤邪发布了新的文献求助10
9秒前
安凉完成签到,获得积分10
9秒前
yangyong完成签到,获得积分10
9秒前
zkkz完成签到,获得积分10
9秒前
打打应助橘子采纳,获得40
9秒前
Jasper应助云澈采纳,获得10
9秒前
隐形曼青应助7777777采纳,获得10
9秒前
科研通AI5应助SCI采纳,获得10
10秒前
芋头不秃头完成签到 ,获得积分10
10秒前
10秒前
11秒前
11秒前
kushdw完成签到,获得积分10
12秒前
傲娇小废柴完成签到,获得积分20
13秒前
TranYan发布了新的文献求助10
13秒前
Sally发布了新的文献求助10
13秒前
sun应助怡然的飞珍采纳,获得20
14秒前
14秒前
15秒前
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794