Nemutlu Emirhan, Zhang Song, Juranic Nenad O, Terzic Andre, Macura Slobodan, Dzeja Petras
Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, 200 1st Street SW, Rochester, Minnesota 55905, USA.
Croat Med J. 2012 Dec;53(6):529-34. doi: 10.3325/cmj.2012.53.529.
Technological innovations and translation of basic discoveries to clinical practice drive advances in medicine. Today's innovative technologies enable comprehensive screening of the genome, transcriptome, proteome, and metabolome. The detailed knowledge, converged in the integrated "omics" (genomics, transcriptomics, proteomics, and metabolomics), holds an immense potential for understanding mechanism of diseases, facilitating their early diagnostics, selecting personalized therapeutic strategies, and assessing their effectiveness. Metabolomics is the newest "omics" approach aimed to analyze large metabolite pools. The next generation of metabolomic screening requires technologies for high throughput and robust monitoring of metabolite levels and their fluxes. In this regard, stable isotope 18O-based metabolite tagging technology expands quantitative measurements of metabolite levels and turnover rates to all metabolites that include water as a reactant, most notably phosphometabolites. The obtained profiles and turnover rates are sensitive indicators of energy and metabolic imbalances like the ones created by genetic deficiencies, myocardial ischemia, heart failure, neurodegenerative disorders, etc. Here we describe and discuss briefly the potential use of dynamic phosphometabolomic platform for disease diagnostics currently under development at Mayo Clinic.
技术创新以及将基础研究成果转化为临床实践推动了医学的进步。当今的创新技术能够对基因组、转录组、蛋白质组和代谢组进行全面筛查。融合在综合“组学”(基因组学、转录组学、蛋白质组学和代谢组学)中的详细知识,在理解疾病机制、促进疾病早期诊断、选择个性化治疗策略以及评估治疗效果方面具有巨大潜力。代谢组学是旨在分析大量代谢物库的最新“组学”方法。下一代代谢组学筛查需要能够对代谢物水平及其通量进行高通量和稳健监测的技术。在这方面,基于稳定同位素18O的代谢物标记技术将代谢物水平和周转率的定量测量扩展到所有以水作为反应物的代谢物,最显著的是磷酸代谢物。所获得的图谱和周转率是能量和代谢失衡的敏感指标,例如由遗传缺陷、心肌缺血、心力衰竭、神经退行性疾病等引起的失衡。在此,我们简要描述并讨论梅奥诊所目前正在开发的动态磷酸代谢组学平台在疾病诊断中的潜在应用。