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Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes

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 mech...

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Autores principales: Zelezniak, Aleksej, Pers, Tune H., Soares, Simão, Patti, Mary Elizabeth, Patil, Kiran Raosaheb
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848542/
https://www.ncbi.nlm.nih.gov/pubmed/20369014
http://dx.doi.org/10.1371/journal.pcbi.1000729
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author Zelezniak, Aleksej
Pers, Tune H.
Soares, Simão
Patti, Mary Elizabeth
Patil, Kiran Raosaheb
author_facet Zelezniak, Aleksej
Pers, Tune H.
Soares, Simão
Patti, Mary Elizabeth
Patil, Kiran Raosaheb
author_sort Zelezniak, Aleksej
collection PubMed
description 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.
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spelling pubmed-28485422010-04-05 Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes Zelezniak, Aleksej Pers, Tune H. Soares, Simão Patti, Mary Elizabeth Patil, Kiran Raosaheb PLoS Comput Biol Research Article 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. Public Library of Science 2010-04-01 /pmc/articles/PMC2848542/ /pubmed/20369014 http://dx.doi.org/10.1371/journal.pcbi.1000729 Text en Zelezniak et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zelezniak, Aleksej
Pers, Tune H.
Soares, Simão
Patti, Mary Elizabeth
Patil, Kiran Raosaheb
Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
title Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
title_full Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
title_fullStr Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
title_full_unstemmed Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
title_short Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes
title_sort metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848542/
https://www.ncbi.nlm.nih.gov/pubmed/20369014
http://dx.doi.org/10.1371/journal.pcbi.1000729
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