Integrative Personal Omics Profiles during Periods of Weight Gain and Loss
| Autor: | George M. Weinstock, Denis Salins, Sharon J. Pitteri, Cheng Zhang, Michael Snyder, Jessica Wheeler, Gucci Jijuan Gu Urban, Daniel Spakowicz, Shannon Rego, Dalia Perelman, Erica Sodergren, Shana R. Leopold, Tejaswini Mishra, Hannes L. Röst, Eddy J. Bautista, Imon Banerjee, Cynthia Chen, Tracey McLaughlin, Wenyu Zhou, M. Reza Sailani, Daniel L. Rubin, Brian D. Piening, Blake M. Hanson, Colleen M. Craig, Ulf Smith, Elizabeth Colbert, Kimberly R. Kukurba, Mark Gerstein, Liang Liang, Adil Mardinoglu, Charles Abbott, Kévin Contrepois, Sunjae Lee, Christine Y. Yeh |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Adult Male Proteomics Histology Systems biology Genomics Computational biology Biology Weight Gain Article Pathology and Forensic Medicine 03 medical and health sciences Metabolomics Weight loss Weight Loss medicine Humans Microbiome Obesity Precision Medicine Cell Biology Omics 3. Good health 030104 developmental biology medicine.symptom Insulin Resistance Weight gain Biomarkers |
| Zdroj: | Cell systems. 6(2) |
| ISSN: | 2405-4712 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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