Integrative Personal Omics Profiles during Periods of Weight Gain and Loss
Journal article, 2018
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. Extensive multi-omic profiling of the blood and microbiomes of healthy and insulin-resistant humans as they gain and lose weight reveals insights into the systemic impacts of weight gain.
obesity
type 2 diabetes
metabolomics
genomics
microbiome
proteomics
systems biology
Author
B. D. Piening
Stanford University
Wenyu Zhou
Stanford University
Kevin Contrepois
Stanford University
Hannes Röst
Stanford University
Gucci Jijuan Gu Urban
Stanford University
Tejaswini Mishra
Stanford University
Blake M. Hanson
The Jackson Laboratory for Genomic Medicine
Eddy J. Bautista
The Jackson Laboratory for Genomic Medicine
Shana Leopold
Stanford University
Christine Y. Yeh
Stanford University
Daniel Spakowicz
The Jackson Laboratory for Genomic Medicine
Imon Banerjee
Stanford University
Cynthia Chen
Stanford University
Kimberly Kukurba
Stanford University
Dalia Perelman
Stanford University
Colleen Craig
Stanford University
Elizabeth Colbert
Stanford University
Denis Salins
Stanford University
Shannon Rego
Stanford University
Sunjae Lee
Royal Institute of Technology (KTH)
Cheng Zhang
Royal Institute of Technology (KTH)
Jessica Wheeler
Stanford University
M. Reza Sailani
Stanford University
Liang Liang
Stanford University
Charles Abbott
Stanford University
Mark Gerstein
Yale University
Adil Mardinoglu
Chalmers, Biology and Biological Engineering
Royal Institute of Technology (KTH)
Ulf Smith
University of Gothenburg
Daniel L. Rubin
Stanford University
Sharon Pitteri
Stanford University
Erica Sodergren
The Jackson Laboratory for Genomic Medicine
Tracey L. McLaughlin
Stanford University
Christof Weinstock
The Jackson Laboratory for Genomic Medicine
Michael P. Snyder
Stanford University
Cell Systems
24054712 (ISSN) 24054720 (eISSN)
Vol. 6 2 157-170.e8Subject Categories
Endocrinology and Diabetes
Other Clinical Medicine
Biomedical Laboratory Science/Technology
DOI
10.1016/j.cels.2017.12.013