Back to Search Start Over

Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

Authors :
Piening, Brian D.
Zhou, Wenyu
Contrepois, Kévin
Röst, Hannes
Gu Urban, Gucci Jijuan
Mishra, Tejaswini
Hanson, Blake M.
Bautista, Eddy J.
Leopold, Shana
Yeh, Christine Y.
Spakowicz, Daniel
Banerjee, Imon
Chen, Cynthia
Kukurba, Kimberly
Perelman, Dalia
Craig, Colleen
Colbert, Elizabeth
Salins, Denis
Rego, Shannon
Lee, Sunjae
Zhang, Cheng
Wheeler, Jessica
Sailani, M. Reza
Liang, Liang
Abbott, Charles
Gerstein, Mark
Mardinoglu, Adil
Smith, Ulf
Rubin, Daniel L.
Pitteri, Sharon
Sodergren, Erica
McLaughlin, Tracey L.
Weinstock, George M.
Snyder, Michael P.
Source :
Cell Systems; February 2018, Vol. 6 Issue: 2 p157-170.e8
Publication Year :
2018

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

Language :
English
ISSN :
24054712
Volume :
6
Issue :
2
Database :
Supplemental Index
Journal :
Cell Systems
Publication Type :
Periodical
Accession number :
ejs44880671
Full Text :
https://doi.org/10.1016/j.cels.2017.12.013