TY - JOUR
T1 - Transcriptomic coordination in the human metabolic network reveals links between n-3 fat intake, adipose tissue gene expression and metabolic health
AU - Morine, Melissa J.
AU - Tierney, Audrey C.
AU - van Ommen, Ben
AU - Daniel, Hannelore
AU - Toomey, Sinead
AU - Gjelstad, Ingrid M.F.
AU - Gormley, Isobel C.
AU - Pérez-Martinez, Pablo
AU - Drevon, Christian A.
AU - López-Miranda, Jose
AU - Roche, Helen M.
PY - 2011/11
Y1 - 2011/11
N2 - 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-PGF2α. 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.
AB - 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-PGF2α. 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.
UR - http://www.scopus.com/inward/record.url?scp=81355164232&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1002223
DO - 10.1371/journal.pcbi.1002223
M3 - Article
C2 - 22072950
AN - SCOPUS:81355164232
SN - 1553-734X
VL - 7
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 11
M1 - e1002223
ER -