↓ Skip to main content

PLOS

Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes

Overview of attention for article published in PLoS Computational Biology, April 2010
Altmetric Badge

Mentioned by

twitter
3 X users

Readers on

mendeley
221 Mendeley
citeulike
6 CiteULike
Title
Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
Published in
PLoS Computational Biology, April 2010
DOI 10.1371/journal.pcbi.1000729
Pubmed ID
Authors

Aleksej Zelezniak, Tune H. Pers, Simão Soares, Mary Elizabeth Patti, Kiran Raosaheb Patil

Abstract

Type 2 diabetes mellitus (T2DM) is a disorder characterized by both insulin resistance and impaired insulin secretion. Recent transcriptomics studies related to T2DM have revealed changes in expression of a large number of metabolic genes in a variety of tissues. Identification of the molecular mechanisms underlying these transcriptional changes and their impact on the cellular metabolic phenotype is a challenging task due to the complexity of transcriptional regulation and the highly interconnected nature of the metabolic network. In this study we integrate skeletal muscle gene expression datasets with human metabolic network reconstructions to identify key metabolic regulatory features of T2DM. These features include reporter metabolites--metabolites with significant collective transcriptional response in the associated enzyme-coding genes, and transcription factors with significant enrichment of binding sites in the promoter regions of these genes. In addition to metabolites from TCA cycle, oxidative phosphorylation, and lipid metabolism (known to be associated with T2DM), we identified several reporter metabolites representing novel biomarker candidates. For example, the highly connected metabolites NAD+/NADH and ATP/ADP were also identified as reporter metabolites that are potentially contributing to the widespread gene expression changes observed in T2DM. An algorithm based on the analysis of the promoter regions of the genes associated with reporter metabolites revealed a transcription factor regulatory network connecting several parts of metabolism. The identified transcription factors include members of the CREB, NRF1 and PPAR family, among others, and represent regulatory targets for further experimental analysis. Overall, our results provide a holistic picture of key metabolic and regulatory nodes potentially involved in the pathogenesis of T2DM.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Spain 3 1%
Netherlands 2 <1%
United States 2 <1%
Italy 2 <1%
Iran, Islamic Republic of 2 <1%
Switzerland 1 <1%
Singapore 1 <1%
France 1 <1%
Other 5 2%
Unknown 198 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 29%
Researcher 53 24%
Student > Master 25 11%
Professor > Associate Professor 19 9%
Student > Bachelor 19 9%
Other 31 14%
Unknown 11 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 107 48%
Biochemistry, Genetics and Molecular Biology 36 16%
Medicine and Dentistry 15 7%
Computer Science 12 5%
Engineering 8 4%
Other 20 9%
Unknown 23 10%