摘要
代谢组学主要研究的是生物体内所有内源性小分子代谢物,包括靶向代谢组学和非靶向代谢组学.代谢组学分析的流程一般包括样品采集与前处理、样品检测、数据预处理、代谢物鉴定和数据统计分析等.代谢组学技术目前已被应用于职业病危害因素的毒理学机制研究、职业病早期发现与诊断,以及职业接触生物标志物的筛选等方面.应用代谢组学技术探讨劳动者的代谢产物与职业病危害因素接触的关系,评估职业接触对劳动者健康造成的潜在影响,寻找理想的生物标志物或治疗靶点,有利于早期预警和监测职业健康危害、辅助职业病的早期诊断与预后判断.未来,代谢组学在职业健康领域尚有待在建立更加完整规范的工作流程和实验方案、结合大数据技术挖掘潜在生物标志物、利用代谢信息提供精准的职业健康服务和联合人工智能模型进行代谢组学的数据挖掘和疾病诊断等方面进一步开展研究.
Abstract
Metabolomics,including targeted metabolomics and non-targeted metabolomics,is a method to study endogenous small molecule metabolites in organisms.The process of metabolomics analysis generally includes sample collection and pre-treatment,sample detection,data preprocessing,metabolite identification,data statistical analysis,and others.At present,metabolomics technology has been applied to study toxicological mechanism of occupational hazards,early detection and diagnosis of occupational diseases,screening biomarkers of occupational exposure,and others.The application of metabolomics technology to explore the relationship between workers' metabolites and exposure to occupational hazardous,assess the potential impact of occupational exposure on workers' health,and search for ideal biomarkers or therapeutic targets is conducive to early warning and monitoring of occupational health hazards,and assistance in the early diagnosis and prognosis of occupational diseases.In the future,further research is needed in the field of occupational health using metabolomics to establish more complete and standardized workflows and experimental methods,combine big data technology to explore potential biomarkers,utilize metabolic information to provide precise occupational health services,and use artificial intelligence models for data mining and disease diagnosis in metabolomics.
基金项目
广东省自然科学基金(2020A1515010893)
国家临床重点专科建设项目(2011-09)
广州市科学技术局生物医药产业创新补助广东省医学科研基金项目(A2022013)
广州市科学技术局生物医药产业创新补助广东省医学科研基金项目(A2023048)
广东省职业病防治院重点科研课题青年项目(Z2022-11)
广州市基础研究计划(2023A04J2471)
NETL
NSTL
万方数据