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Metabolomics as a Key Integrator for Omic Advancement of Personalized Medicine and Future Therapies

机译:代谢组学是个性化医学和未来疗法组学发展的关键整合者

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摘要

Investigation into biological complexity, whether for a better understanding of disease or drug process, is a monumental task plaguing investigators. The lure of “omic” technologies for circumventing much of these challenges has led to widespread efforts and adoption. It is becoming clearer that a single “omic” approach (e.g., genomics) is often insufficient for completely defining the complexity in these biological systems. Hence, there is an increasing awareness that a “systems” approach will serve to increase resolution and confidence and provide a strong foundation for further hypothesis‐driven investigation. Although certain metabolites are already considered clinically important, the profiling of metabolites via metabolomics (the profiling of metabolites to fully characterize metabolic pathways) is the most recent to mature of these “omic” technologies and has been only recently adopted as compared to genomic or proteomic approaches in systems inquiries. Recent reports suggest that this “omic” may well be a key data stream in systems investigations for endeavors in personalized medicine and biomarker identification, as it seems most closely relevant to the phenotype. Clin Trans Sci 2012; Volume #: 1–4
机译:为了更好地了解疾病或药物过程,对生物学复杂性进行调查是困扰研究人员的一项艰巨任务。克服许多挑战的“组学”技术的诱惑已导致广泛的努力和采用。越来越清楚的是,单一的“组学”方法(例如基因组学)通常不足以完全定义这些生物系统的复杂性。因此,人们越来越意识到“系统”方法将有助于提高分辨率和置信度,并为进一步的假设驱动的调查提供坚实的基础。尽管某些代谢物已被认为具有临床重要性,但通过代谢组学进行代谢物分析(完全表征代谢途径的代谢物分析)是这些“组学”技术的最新成果,与基因组或蛋白质组学相比,直到最近才被采用系统查询中的方法。最近的报告表明,这种“组蛋白”很可能是系统研究中针对个性化医学和生物标志物鉴定工作的关键数据流,因为它似乎与表型最相关。 Clin Trans Sci 2012;卷编号:1-4

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