代谢组学技术在肝癌病因学研究中的应用与进展
Application and progress of metabolomics in the etiology of liver cancer
投稿时间:2024-04-02  修订日期:2024-05-23
DOI:
中文关键词:  代谢组学  肝癌  流行病学  队列研究  巢式病例-对照研究  危险因素  代谢物
英文关键词:metabolomics  liver cancer  epidemiology  cohort study  nested case-control study  risk factor  metabolites
基金项目:国家重点研发计划项目(2021YFC2500404, 2021YFC2500405)
作者单位邮编
李卓颖 上海市肿瘤研究所流行病学研究室 200032
项永兵* 上海市肿瘤研究所流行病学研究室 200032
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中文摘要:
      代谢物作为生物体内化学反应的末端产物,是基因表达、蛋白质功能以及环境因素相互作用的最直接产物,能够综合反映生物体对内在遗传变异和外部环境变化的响应。代谢组学通过系统分析人体代谢物谱的改变,有助于发现潜在的生物标志物,为疾病的早期诊断、预防及个体化治疗提供新的思路。近年来,代谢组学技术在肝癌的病因研究中逐渐得到应用。本文将对现有研究报道进行综述,以了解代谢组学技术在肝癌病因学研究中的应用,重点关注证据级别较高的前瞻性队列研究以及在队列基础上开展的巢式病例-对照研究等,归纳总结现有研究证据,为推动肝癌的病因学机制研究、了解已知危险因素的致病机理以及肝癌的风险预测提供重要的参考依据。
英文摘要:
      Metabolites, as the end products of biochemical reactions within organisms, directly reflect the interplay of gene expression, protein function, and environmental factors, offering a comprehensive reflection of the organism's response to inherent genetic variations and external environmental changes. By systematically analyzing changes in human metabolite profiles, metabolomics aids in the identification of potential biomarkers, offering new insights for the early diagnosis, prevention, and personalized treatment of diseases. In recent years, research methodologies in metabolomics have increasingly been applied to the etiological studies of liver cancer. This article aims to review existing research reports to understand the application of metabolomics in the study of liver cancer etiology, with a focus on high-level evidence from prospective cohort studies and case-control studies nested within cohorts. By summarizing the current research evidence, the article aims to advance the study of the etiological mechanisms of liver cancer, understand the pathogenic mechanisms of known risk factors, and offer a scientific foundation for the prediction of liver cancer.
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