Workshop report - interdisciplinary metabolomic epidemiology: the pathway to clinical translation.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Krista A Zanetti, Lining Guo, Deeba Husain, Rachel S Kelly, Jessica Lasky-Su, David Broadhurst, Craig E Wheelock
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引用次数: 0

Abstract

Metabolomic epidemiology studies are complex and require a broad array of domain expertise. Although many metabolite-phenotype associations have been identified; to date, few findings have been translated to the clinic. Bridging this gap requires understanding of both the underlying biology of these associations and their potential clinical implications, necessitating an interdisciplinary team approach. To address this need in metabolomic epidemiology, a workshop was held at Metabolomics 2023 in Niagara Falls, Ontario, Canada that highlighted the domain expertise needed to effectively conduct these studies -- biochemistry, clinical science, epidemiology, and assay development for biomarker validation -- and emphasized the role of interdisciplinary teams to move findings towards clinical translation.

Abstract Image

研讨会报告--跨学科代谢组流行病学:临床转化之路。
代谢组流行病学研究非常复杂,需要广泛的领域专业知识。尽管已经确定了许多代谢组-表型关联,但迄今为止,很少有研究结果被应用于临床。要弥合这一差距,需要了解这些关联的基础生物学及其潜在的临床影响,这就需要采用跨学科的团队方法。为了满足代谢组流行病学的这一需求,2023 年在加拿大安大略省尼亚加拉瀑布市举行的代谢组学研讨会强调了有效开展这些研究所需的领域专业知识--生物化学、临床科学、流行病学和生物标记物验证的检测开发--并强调了跨学科团队在将研究结果转化为临床应用方面的作用。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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