Elucidating diversity in obesity-related phenotypes using longitudinal and multi-omic approaches

Brian D. Piening; Alexa K. Dowdell; Michael P. Snyder

doi:10.1007/978-3-030-92196-5_2

Elucidating diversity in obesity-related phenotypes using longitudinal and multi-omic approaches

Brian D. Piening, Alexa K. Dowdell, Michael P. Snyder

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Human obesity remains one of the most challenging diseases to comprehensively characterize due to a highly complex interplay between genetics and lifelong environmental factors spanning diet, lifestyle, and other factors. Due to rapid technological advances and decreased experimental costs, it is now possible to routinely monitor millions of diverse biomolecules in the blood and other biological specimens over time in order to develop a better understanding of physiological trajectories underlying weight gain and loss as well as biomarkers for obesity-associated comorbidities. In this chapter, we will discuss the evolution of molecular 'omic assays in the context of bariatric and metabolism research and how this field will likely continue to develop in the future.

Original language	English
Title of host publication	Natural Products in Obesity and Diabetes
Subtitle of host publication	Therapeutic Potential and Role in Prevention and Treatment
Publisher	Springer International Publishing
Pages	63-75
Number of pages	13
ISBN (Electronic)	9783030921965
ISBN (Print)	9783030921958
DOIs	https://doi.org/10.1007/978-3-030-92196-5_2
State	Published - Mar 8 2022

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10.1007/978-3-030-92196-5_2

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Elucidating diversity in obesity-related phenotypes using longitudinal and multi-omic approaches. / Piening, Brian D.; Dowdell, Alexa K.; Snyder, Michael P.
Natural Products in Obesity and Diabetes: Therapeutic Potential and Role in Prevention and Treatment. Springer International Publishing, 2022. p. 63-75.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Elucidating diversity in obesity-related phenotypes using longitudinal and multi-omic approaches

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