Profiling and comparison of toxicant metabolites in hair and urine using a mass spectrometry-based metabolomic data processing method

毒物 尿 化学 代谢物 色谱法 邻苯二甲酸盐 代谢组学 代谢组 生物化学 毒性 有机化学
作者
Chia-Lung Shih,Hsin-Yi Wu,Pao-Mei Liao,Jen-Yi Hsu,Chia-Yun Tsao,Victor G. Zgoda,Pao‐Chi Liao
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1052: 84-95 被引量:16
标识
DOI:10.1016/j.aca.2018.11.009
摘要

Urine and hair are used for assessing human exposure to toxicants. Urine tests can show acute toxicant exposure. Hair analysis can be used to determine chronic toxicant exposure after months to years; however, compared to urine, hair analysis in exposure assessments is much less frequently investigated. Urine and hair are different matrices, and their mechanisms of toxicant metabolite incorporation are different. The toxicant metabolites present in urine and hair may also be different. To clarify this issue, a procedure was developed to identify toxicant metabolites in rat samples using a mass spectrometry-based metabolomic data processing method. Di-(2-propylheptyl) phthalate (DPHP), an industrial plasticizer, was used as the model toxicant. The developed procedure identified not only known DPHP metabolites (mono-(propyl-6-oxo-heptyl) phthalate, mono-(propyl-6-hydroxyheptyl) phthalate, and mono-(propyl-6-carboxyhexyl) phthalate) but also novel metabolites that were structurally related to DPHP in the rat samples, indicating that the developed procedure successfully identified toxicant metabolites in in vivo samples. Among the 62 tentative metabolites identified from the 7th-day urine and the 28th-day hair samples, 33 were detected in only the urine samples, 19 were detected in only the hair samples, and 10 were identified in both the urine and hair samples. A total of 15 out of the 62 metabolites were confirmed as DPHP structure-related metabolites based on MS/MS analysis. Among the 15 DPHP structure-related metabolites, only 2 metabolites were present in both the urine and hair samples. These results suggested that the metabolites identified in urine could not be applied to exposure assessments based on hair analysis.

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
舒服的牛排完成签到 ,获得积分10
刚刚
我是老大应助甲烷采纳,获得10
1秒前
香蕉觅云应助大白采纳,获得10
1秒前
1秒前
buzhigang完成签到,获得积分10
1秒前
桐桐应助科研狗采纳,获得10
1秒前
Lucy1069089289完成签到,获得积分10
1秒前
尹尹尹完成签到,获得积分10
1秒前
angew发布了新的文献求助10
2秒前
科目三应助石头采纳,获得10
2秒前
3秒前
4秒前
4秒前
优雅的士萧完成签到,获得积分10
4秒前
路豐遙发布了新的文献求助10
4秒前
gsx完成签到,获得积分10
5秒前
5秒前
Jimmychin完成签到,获得积分10
5秒前
5秒前
5秒前
6秒前
淡淡裙子发布了新的文献求助10
6秒前
LY发布了新的文献求助10
6秒前
7秒前
7秒前
姜颖完成签到,获得积分20
8秒前
xiao完成签到,获得积分10
9秒前
10秒前
zhang123发布了新的文献求助10
10秒前
10秒前
11秒前
万能图书馆应助悦耳亦云采纳,获得10
11秒前
11秒前
11111111完成签到,获得积分10
11秒前
11秒前
12秒前
传奇3应助ddd采纳,获得10
12秒前
12秒前
Rainy发布了新的文献求助10
12秒前
杨子墨发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7609306
求助须知:如何正确求助?哪些是违规求助? 9184904
关于积分的说明 19674488
捐赠科研通 7183013
什么是DOI,文献DOI怎么找? 3270133
关于科研通互助平台的介绍 2433884
邀请新用户注册赠送积分活动 2264659