ArticlePLoS computational biology2015
System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
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- Microscopic image-based covariation network analysis for actin scaffold-modified insulin signaling.iScience · 2021Article
- Metabolic response of dolphins to short-term fasting reveals physiological changes that differ from the traditional fasting model.The Journal of experimental biology · 2021Article
- Serum Metabolic Profiles of Chinese Women With Perimenopausal Obesity Explored by the Untargeted Metabolomics Approach.Frontiers in endocrinology · 2021Article
- Sample Preparation Methods for Lipidomics Approaches Used in Studies of Obesity.Molecules (Basel, Switzerland) · 2020Review
- Omics Application in Animal Science-A Special Emphasis on Stress Response and Damaging Behaviour in Pigs.Genes · 2020Review
- Gaussian and Mixed Graphical Models as (multi-)omics data analysis tools.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020Review
- Whole transcriptome analysis and validation of metabolic pathways in subcutaneous adipose tissues during FGF21-induced weight loss in non-human primates.Scientific reports · 2020Article
- Systems Biology Will Direct Vascular-Targeted Therapy for Obesity.Frontiers in physiology · 2020Article
- Network Analyses and Data Integration of Proteomics and Metabolomics From Leaves of Two Contrasting Varieties of Sugarcane in Response to Drought.Frontiers in plant science · 2019Article
- Changes in the plasma membrane in metabolic disease: impact of the membrane environment on G protein-coupled receptor structure and function.British journal of pharmacology · 2018Review
- A new approach of gene co-expression network inference reveals significant biological processes involved in porcine muscle development in late gestation.Scientific reports · 2018Article
- Integrated Analysis of Proteomic and Transcriptomic Data Highlights Late Fetal Muscle Maturation Process.Molecular & cellular proteomics : MCP · 2018Article
- Article
- A Systems Genetics Approach Identified GPD1L and its Molecular Mechanism for Obesity in Human Adipose Tissue.Scientific reports · 2017Article
- Type 1 Diabetes: Urinary Proteomics and Protein Network Analysis Support Perturbation of Lysosomal Function.Theranostics · 2017Article
- Diet-induced weight loss leads to a switch in gene regulatory network control in the rectal mucosa.Genomics · 2016Article
- Quantifying a Systems Map: Network Analysis of a Childhood Obesity Causal Loop Diagram.PloS one · 2016Article
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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