Integrative Personal Omics Profiles during Periods of Weight Gain and Loss. Cell Syst 2018 Feb 28;6(2):157-170.e8
Date
01/24/2018Pubmed ID
29361466Pubmed Central ID
PMC6021558DOI
10.1016/j.cels.2017.12.013Scopus ID
2-s2.0-85040577373 (requires institutional sign-in at Scopus site) 157 CitationsAbstract
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.
Author List
Piening BD, Zhou W, Contrepois K, Röst H, Gu Urban GJ, Mishra T, Hanson BM, Bautista EJ, Leopold S, Yeh CY, Spakowicz D, Banerjee I, Chen C, Kukurba K, Perelman D, Craig C, Colbert E, Salins D, Rego S, Lee S, Zhang C, Wheeler J, Sailani MR, Liang L, Abbott C, Gerstein M, Mardinoglu A, Smith U, Rubin DL, Pitteri S, Sodergren E, McLaughlin TL, Weinstock GM, Snyder MPAuthor
Liang Liang PhD Assistant Professor in the Obstetrics and Gynecology department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AdultBiomarkers
Genomics
Humans
Insulin Resistance
Male
Metabolomics
Obesity
Precision Medicine
Proteomics
Weight Gain
Weight Loss