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.

type 2 diabetes

metabolomics

genomics

systems biology

proteomics

obesity

microbiome

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

Royal Institute of Technology (KTH)

Chalmers, Biology and Biological Engineering

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.e8

Subject Categories

Endocrinology and Diabetes

Other Clinical Medicine

Biomedical Laboratory Science/Technology

DOI

10.1016/j.cels.2017.12.013

More information

Latest update

1/13/2022