摘要
组学是生物医学研究的热门领域,很多证据表明,组学翻译程序和整体分析方法能丰富实验室诊断并最终改善患者的临床结局。代谢组学以生命体代谢物为研究对象,主要研究相对分子质量较小的分子,这些分子可以是内源性代谢物,也可以是外源性代谢物,能反映环境因素,如饮食、微生物和药物。靶向组学是临床筛查、疾病诊断、预后预测以及常规临床检测的实用工具,非靶向代谢组学是数据驱动和假设生成的方法,涉及尽可能多的代谢物综合分析。将生物标志物应用于危重患者的诊断、监测、实施精准医学治疗以及个体化临床干预中,可改善预后。代谢组学的发展可进一步辅助临床各学科的医疗保健工作。
Omics is a broad and popular area in biomedical research.There is considerable evidence demonstrating that translation procedures and holistic analysis methods in omics could enrich laboratory diagnostics and improve clinical outcomes.Metabolomics involves the study of metabolites in living organisms,primarily focusing on molecules with low molecular weight.These molecules could be either endogenous metabolites or exogenous,and could reflect environmental factors such as diet,microbial activity and medication.Targeted metabolomics is a valuable tool employed in clinical screening,diagnosis,prognosis and routine clinical assessments.Non-targeted metabolomics is a data-driven,hypothesis-generating approach that involves the comprehensive analysis of a wide array of metabolites.The application of biomarkers in diagnosis,monitoring and implementation of precision medicine and individualized clinical interventions for critically ill patients could improve prognosis.The advancement of metabolomics has potential to enhance medical treatment and healthcare across various clinical disciplines.
作者
秦英智
Qin Yingzhi(Department of Critical Care Medicine,Tianjin Third Central Hospital,Tianjin 300170,China)
出处
《实用检验医师杂志》
2024年第3期193-196,共4页
Chinese Journal of Clinical Pathologist
