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Application of Metabolomics to Renal and Cardiometabolic Diseases

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Computational Methods and Data Analysis for Metabolomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2104))

Abstract

Metabolomics has been increasingly applied to study renal and related cardiometabolic diseases, including diabetes and cardiovascular diseases. These studies span cross-sectional studies correlating metabolites with specific phenotypes, longitudinal studies to identify metabolite predictors of future disease, and physiologic/interventional studies to probe underlying causal relationships. This chapter provides a description of how metabolomic profiling is being used in these contexts, with an emphasis on study design considerations as a practical guide for investigators who are new to this area. Research in kidney diseases is underlined to illustrate key principles. The chapter concludes by discussing the future potential of metabolomics in the study of renal and cardiometabolic diseases.

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Authors and Affiliations

  1. Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA

    Casey M. Rebholz

  2. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

    Casey M. Rebholz

  3. Massachusetts General Hospital, Richard B. Simches Research Center, Boston, MA, USA

    Eugene P. Rhee

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  2. Eugene P. Rhee
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Correspondence to Casey M. Rebholz .

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  1. Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA

    Shuzhao Li

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Rebholz, C.M., Rhee, E.P. (2020). Application of Metabolomics to Renal and Cardiometabolic Diseases. In: Li, S. (eds) Computational Methods and Data Analysis for Metabolomics. Methods in Molecular Biology, vol 2104. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0239-3_20

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  • DOI: https://doi.org/10.1007/978-1-0716-0239-3_20

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