Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

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

Research output: Contribution to journalArticlepeer-review

149 Scopus citations

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. 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.

Original languageEnglish (US)
Pages (from-to)157-170.e8
JournalCell Systems
Volume6
Issue number2
DOIs
StatePublished - Feb 28 2018

Keywords

  • genomics
  • metabolomics
  • microbiome
  • obesity
  • proteomics
  • systems biology
  • type 2 diabetes

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Histology
  • Cell Biology

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