Biomarker Discovery and Translation in Metabolomics.

G A Nagana Gowda, D Raftery
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引用次数: 73

Abstract

The multifaceted field of metabolomics has witnessed exponential growth in both methods development and applications. Owing to the urgent need, a significant fraction of research investigations in the field is focused on understanding, diagnosing and preventing human diseases; hence, the field of biomedicine has been the major beneficiary of metabolomics research. A large body of literature now documents the discovery of numerous potential biomarkers and provides greater insights into pathogeneses of numerous human diseases. A sizable number of findings have been tested for translational applications focusing on disease diagnostics ranging from early detection, to therapy prediction and prognosis, monitoring treatment and recurrence detection, as well as the important area of therapeutic target discovery. Current advances in analytical technologies promise quantitation of biomarkers from even small amounts of bio-specimens using non-invasive or minimally invasive approaches, and facilitate high-throughput analysis required for real time applications in clinical settings. Nevertheless, a number of challenges exist that have thus far delayed the translation of a majority of promising biomarker discoveries to the clinic. This article presents advances in the field of metabolomics with emphasis on biomarker discovery and translational efforts, highlighting the current status, challenges and future directions.

代谢组学中生物标志物的发现和翻译。
代谢组学的多面领域在方法开发和应用方面都呈指数级增长。由于迫切需要,该领域的很大一部分研究调查集中于了解、诊断和预防人类疾病;因此,生物医学领域一直是代谢组学研究的主要受益者。现在,大量文献记录了许多潜在生物标志物的发现,并为许多人类疾病的发病机制提供了更深入的了解。相当数量的研究结果已被用于转化应用,重点是疾病诊断,从早期检测到治疗预测和预后,监测治疗和复发检测,以及发现治疗靶点的重要领域。当前分析技术的进步保证了使用无创或微创方法从少量生物标本中定量生物标志物,并促进了临床环境中实时应用所需的高通量分析。尽管如此,许多挑战仍然存在,这些挑战迄今为止推迟了大多数有希望的生物标志物发现的临床翻译。本文介绍了代谢组学领域的进展,重点介绍了生物标志物的发现和转化工作,重点介绍了代谢组学的现状、挑战和未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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