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Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

Authors :
George M. Weinstock
Denis Salins
Sharon J. Pitteri
Cheng Zhang
Michael Snyder
Jessica Wheeler
Gucci Jijuan Gu Urban
Daniel Spakowicz
Shannon Rego
Dalia Perelman
Erica Sodergren
Shana R. Leopold
Tejaswini Mishra
Hannes L. Röst
Eddy J. Bautista
Imon Banerjee
Cynthia Chen
Tracey McLaughlin
Wenyu Zhou
M. Reza Sailani
Daniel L. Rubin
Brian D. Piening
Blake M. Hanson
Colleen M. Craig
Ulf Smith
Elizabeth Colbert
Kimberly R. Kukurba
Mark Gerstein
Liang Liang
Adil Mardinoglu
Charles Abbott
Kévin Contrepois
Sunjae Lee
Christine Y. Yeh
Source :
Cell systems. 6(2)
Publication Year :
2017

Abstract

Advances in omics technologies now allow an unprecedented level of phenotyping for human diseases, including obesity, in which individual responses to excess weight are heterogeneous and unpredictable. To aid the development of better understanding of these phenotypes, we performed a controlled longitudinal weight perturbation study combining multiple omics strategies (genomics, transcriptomics, multiple proteomics assays, metabolomics, and microbiomics) during periods of weight gain and loss in humans. Results demonstrated that: (1) weight gain is associated with the activation of strong inflammatory and hypertrophic cardiomyopathy signatures in blood; (2) although weight loss reverses some changes, a number of signatures persist, indicative of long-term physiologic changes; (3) we observed omics signatures associated with insulin resistance that may serve as novel diagnostics; (4) specific biomolecules were highly individualized and stable in response to perturbations, potentially representing stable personalized markers. Most data are available open access and serve as a valuable resource for the community.

Details

ISSN :
24054712
Volume :
6
Issue :
2
Database :
OpenAIRE
Journal :
Cell systems
Accession number :
edsair.doi.dedup.....648af7f8f2a5f132b6277099bb591cab