基于高分辨率质谱的代谢组学方法鉴定橡胶工人尿液标本中有毒物质邻苯二甲酸二异壬酯的潜在尿暴露标记物

Yu-Ting Wang , Jing-Fang Hsu , Yi-Sheng Hsu , Pao-Chi Liao
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引用次数: 0

摘要

邻苯二甲酸二异壬酯(DiNP)是聚氯乙烯(PVC)产品中常用的增塑剂。然而,DiNP会干扰人体内分泌系统,被列为具有生殖毒性的化学物质。它的半衰期短,可以代谢成水溶性物质,并随尿液排出,因此,尿中可以识别出DiNP暴露标记物,这是一种无创且易于获取的标本。在之前的研究中,我们建立了一种同位素示踪策略,该策略涉及内部计算信号挖掘算法与同位素示踪(SMAIT),以从复杂的LC-MS数据中过滤可能的代谢物信号。在这项研究中,我们使用SMAIT来过滤可能的代谢物信号,通过分析职业暴露于DiNP的橡胶工人的人类尿液样本,这些信号被证实是潜在的DiNP暴露标志物。我们通过SMAIT从大约1400个信号中过滤出16个可能的代谢物信号。利用超高效液相色谱-高分辨率串联质谱(UHPLC-HRMS/MS)全扫描模式在D0-MMOP质谱中鉴定出的m/z 121.029处的片段离子(苯甲酸盐离子(C6H5CO2)), 16个可能代谢物信号中有14个被确认为DiNP结构相关代谢物。通过对橡胶工人尿液样本的分析,进一步验证了14种结构相关代谢物信号是潜在的DiNP暴露标志物。在m/z 305.139 (MOINP), 307.155 (MHINP)和375.142 (MHINP衍生物)三个与DiNP结构相关的代谢物信号被确定为DiNP的潜在暴露标记。我们需要更多的研究来验证这些代谢物是否可以作为人类暴露于DiNP的特异性生物标志物。这3种结构相关的代谢物信号可以为DiNP的未来暴露和风险评估提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of potential urinary exposure markers for the toxicant diisononyl phthalate in rubber worker urine specimens by high-resolution mass spectrometry-based metabolomics

Identification of potential urinary exposure markers for the toxicant diisononyl phthalate in rubber worker urine specimens by high-resolution mass spectrometry-based metabolomics

Diisononyl phthalate (DiNP) is commonly used as a plasticizer in polyvinyl chloride (PVC) products. However, DiNP can interfere with the human endocrine system and is listed as a chemical with reproductive toxicity. It has a short half-life and can be metabolized into water-soluble substances that are excreted in the urine, and thus, DiNP exposure markers can be identified in urine, a noninvasive and easily accessible specimen. In a previous study, we established an isotope tracing strategy involving an in-house computational signal mining algorithm with isotope tracing (SMAIT) to filter probable metabolite signals from complex LC-MS data. In this study, we used SMAIT to filter the probable metabolite signals, which were verified as potential DiNP exposure markers by analyzing human urine specimens from rubber workers who had occupational exposure to DiNP. We filtered 16 probable metabolite signals out of approximately 1400 signals by SMAIT. Fourteen of the 16 probable metabolite signals were confirmed as DiNP structure-related metabolites according to the fragment ion at m/z 121.029, which is a benzoate ion (C6H5CO2), identified in D0-MMOP mass spectra by ultra-high-performance liquid chromatography-high-resolution tandem mass spectrometry (UHPLC-HRMS/MS) in the full-scan mode. The 14 structure-related metabolite signals were further verified as potential DiNP exposure markers by analyzing rubber worker urine specimens. Three DiNP structure-related metabolite signals at m/z 305.139 (MOINP), 307.155 (MHINP), and 375.142 (derivatives of MHINP) were identified as potential exposure markers of DiNP. We need more research to validate whether these metabolites could be used as specific biomarkers for human exposure to DiNP. The 3 structure-related metabolite signals could provide the basis for future exposure and risk assessment for DiNP.

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来源期刊
Urine (Amsterdam, Netherlands)
Urine (Amsterdam, Netherlands) Health Informatics, Pathology and Medical Technology, Urology
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