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System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance
E. Montastier, N. Villa-Vialaneix, S. Caspar-Bauguil, P. Hlavaty, E. Tvrzicka, I. Gonzalez, WH. Saris, D. Langin, M. Kunesova, N. Viguerie,
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
NT13735
MZ0
CEP Register
NT12342
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Digital library NLK
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- MeSH
- Adult MeSH
- Gene Regulatory Networks genetics MeSH
- Weight Loss genetics physiology MeSH
- Caloric Restriction * MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Obesity metabolism MeSH
- Gene Expression Profiling MeSH
- Adipose Tissue metabolism MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Nutrigenomics investigates relationships between nutrients and all genome-encoded molecular entities. This holistic approach requires systems biology to scrutinize the effects of diet on tissue biology. To decipher the adipose tissue (AT) response to diet induced weight changes we focused on key molecular (lipids and transcripts) AT species during a longitudinal dietary intervention. To obtain a systems model, a network approach was used to combine all sets of variables (bio-clinical, fatty acids and mRNA levels) and get an overview of their interactions. AT fatty acids and mRNA levels were quantified in 135 obese women at baseline, after an 8-week low calorie diet (LCD) and after 6 months of ad libitum weight maintenance diet (WMD). After LCD, individuals were stratified a posteriori according to weight change during WMD. A 3 steps approach was used to infer a global model involving the 3 sets of variables. It consisted in inferring intra-omic networks with sparse partial correlations and inter-omic networks with regularized canonical correlation analysis and finally combining the obtained omic-specific network in a single global model. The resulting networks were analyzed using node clustering, systematic important node extraction and cluster comparisons. Overall, AT showed both constant and phase-specific biological signatures in response to dietary intervention. AT from women regaining weight displayed growth factors, angiogenesis and proliferation signaling signatures, suggesting unfavorable tissue hyperplasia. By contrast, after LCD a strong positive relationship between AT myristoleic acid (a fatty acid with low AT level) content and de novo lipogenesis mRNAs was found. This relationship was also observed, after WMD, in the group of women that continued to lose weight. This original system biology approach provides novel insight in the AT response to weight control by highlighting the central role of myristoleic acid that may account for the beneficial effects of weight loss.
4th Department of Internal Medicine 1st Medical School Charles University Prague Czech Republic
INRA UR875 MIAT Castanet Tolosan France
Institut National de la Santé et de la Recherche Médicale Toulouse France
Institute of Endocrinology Obesity Management Centre Prague Czech Republic
Statistique Analyse Modélisation Multidisciplinaire Université Paris 1 Paris France
Toulouse University Hospitals Departments of Clinical Biochemistry and Nutrition Toulouse France
University of Toulouse UMR1048 Paul Sabatier University Toulouse France
References provided by Crossref.org
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