Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Research Center for Health Sciences, Research Institute for Health, Department of Occupational Health and Safety Engineering, School of Health Shiraz, University of Medical Sciences, Shiraz, Iran.
Metabolomics. 2022 Sep 9;18(9):73. doi: 10.1007/s11306-022-01930-7.
Work-related exposures to harmful agents or factors are associated with an increase in incidence of occupational diseases. These exposures often represent a complex mixture of different stressors, challenging the ability to delineate the mechanisms and risk factors underlying exposure-disease relationships. The use of omics measurement approaches that enable characterization of biological marker patterns provide internal indicators of molecular alterations, which could be used to identify bioeffects following exposure to a toxicant. Metabolomics is the comprehensive analysis of small molecule present in biological samples, and allows identification of potential modes of action and altered pathways by systematic measurement of metabolites.
The aim of this study is to review the application of metabolomics studies for use in occupational health, with a focus on applying metabolomics for exposure monitoring and its relationship to occupational diseases.
PubMed, Web of Science, Embase and Scopus electronic databases were systematically searched for relevant studies published up to 2021.
Most of reviewed studies included worker populations exposed to heavy metals such as As, Cd, Pb, Cr, Ni, Mn and organic compounds such as tetrachlorodibenzo-p-dioxin, trichloroethylene, polyfluoroalkyl, acrylamide, polyvinyl chloride. Occupational exposures were associated with changes in metabolites and pathways, and provided novel insight into the relationship between exposure and disease outcomes. The reviewed studies demonstrate that metabolomics provides a powerful ability to identify metabolic phenotypes and bioeffect of occupational exposures.
Continued application to worker populations has the potential to enable characterization of thousands of chemical signals in biological samples, which could lead to discovery of new biomarkers of exposure for chemicals, identify possible toxicological mechanisms, and improved understanding of biological effects increasing disease risk associated with occupational exposure.
与工作相关的有害剂或因素暴露与职业病发病率的增加有关。这些暴露通常代表不同应激源的复杂混合物，这对描绘暴露-疾病关系背后的机制和风险因素的能力提出了挑战。使用能够描述生物标志物模式的组学测量方法提供了分子改变的内部指标，这可用于识别暴露于毒物后产生的生物效应。代谢组学是对生物样本中存在的小分子的全面分析，通过系统测量代谢物，可确定潜在的作用模式和改变的途径。
本研究旨在综述代谢组学研究在职业健康中的应用，重点介绍代谢组学在暴露监测及其与职业病的关系中的应用。
系统检索了截至 2021 年发表的相关研究，使用了 PubMed、Web of Science、Embase 和 Scopus 电子数据库。
大多数综述研究包括接触重金属（如砷、镉、铅、铬、镍、锰）和有机化合物（如四氯二苯并对二恶英、三氯乙烯、全氟烷基、丙烯酰胺、聚氯乙烯）的工人人群。职业暴露与代谢物和途径的变化有关，并为暴露与疾病结果之间的关系提供了新的见解。综述研究表明，代谢组学提供了识别职业暴露代谢表型和生物效应的强大能力。
持续应用于工人人群有可能对生物样本中的数千种化学信号进行特征描述，这可能导致发现新的化学暴露标志物，识别可能的毒理学机制，并更好地了解与职业暴露相关的增加疾病风险的生物学效应。
