| Title |
Transcriptomic Coordination in the Human Metabolic Network Reveals Links between n-3 Fat Intake, Adipose Tissue Gene Expression and Metabolic Health
|
|---|---|
| Published in |
PLoS Computational Biology, November 2011
|
| DOI | 10.1371/journal.pcbi.1002223 |
| Pubmed ID | |
| Authors |
Melissa J. Morine, Audrey C. Tierney, Ben van Ommen, Hannelore Daniel, Sinead Toomey, Ingrid M. F. Gjelstad, Isobel C. Gormley, Pablo Pérez-Martinez, Christian A. Drevon, Jose López-Miranda, Helen M. Roche |
| Abstract |
Understanding the molecular link between diet and health is a key goal in nutritional systems biology. As an alternative to pathway analysis, we have developed a joint multivariate and network-based approach to analysis of a dataset of habitual dietary records, adipose tissue transcriptomics and comprehensive plasma marker profiles from human volunteers with the Metabolic Syndrome. With this approach we identified prominent co-expressed sub-networks in the global metabolic network, which showed correlated expression with habitual n-3 PUFA intake and urinary levels of the oxidative stress marker 8-iso-PGF(2α). These sub-networks illustrated inherent cross-talk between distinct metabolic pathways, such as between triglyceride metabolism and production of lipid signalling molecules. In a parallel promoter analysis, we identified several adipogenic transcription factors as potential transcriptional regulators associated with habitual n-3 PUFA intake. Our results illustrate advantages of network-based analysis, and generate novel hypotheses on the transcriptomic link between habitual n-3 PUFA intake, adipose tissue function and oxidative stress. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Italy | 2 | 3% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Switzerland | 1 | 1% |
| Ireland | 1 | 1% |
| Spain | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 63 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 29% |
| Researcher | 14 | 19% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 5% |
| Professor | 4 | 5% |
| Other | 17 | 23% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 41% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Medicine and Dentistry | 8 | 11% |
| Engineering | 5 | 7% |
| Mathematics | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 9 | 12% |