Metabolomics analysis of serum from subjects after occupational exposure to acrylamide using UPLC-MS

MOLECULAR AND CELLULAR ENDOCRINOLOGY

卷:444

Article

Wang, Sheng-Yuan¹  Yu, Cui-Ping¹  Pan, Yu-Lin¹  Zhou, Xiao-Rong¹  Xin, Rui¹  Wang, Yue¹  Ma, Wei-Wei²  Gao, Ran¹  Wang, Chao³  Wu, Yong-Hui¹ 

[1] Harbin Med Univ, Dept Occupat Hlth, Coll Publ Hlth, 157 Baojian Rd, Harbin 150086, Peoples R China

[2] Harbin Railway Ctr Dis Control & Prevent, Harbin, Peoples R China

[3] Heilongjiang Prov Safety Prod Supervis & Adm Bur, Beijing, Peoples R China

关键词: Acrylamide;    Biomarkers;    Metabolomics;    Central nervous system;    Multivariate analysis;    UPLC-QTOF-MS;   

DOI  :  10.1016/j.mce.2017.02.003

来源: Elsevier

【 摘 要 】

Since occupational exposure to acrylamide (ACR) may cause nerve damage, sensitive biomarkers to evaluate the early effects of ACR on human health are needed. In the present study, we have compared a group of individuals with occupational exposure to ACR (contact group, n = 65) with a group of individuals with no exposure (non -contact group, n = 60). Serum metabolomics analysis of the contact and non -contact groups was carried out using ultra performance liquid chromatographitime of flight mass spectrometry, combined with multivariate analysis, to identify potential metabolites. Serum biochemical indexes of the contact and non -contact groups were also determined using an automatic biochemistry analyzer. There was a clear separation between the contact group and the non -contact group; receiver operator characteristic curve analysis suggested that phytosphingosine, 4E,15Z-bilirubin IXa and tryptophan were the best metabolites to use as biomarkers. Liver function was also found to be abnormal in the contact group. Important, ACR-related, metabolic changes were seen in the contact group and new biomarkers for assessing the toxicity of ACR on the central nervous system have been proposed. This study will provide a sound basis for exploring the toxic mechanisms and metabolic pathways of ACR. (C) 2017 Elsevier B.V. All rights reserved.

【 授权许可】

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