ArticlePLoS computational biology2010
Metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed, 89 citations in OpenAlex.
- Transcriptomic coordination in the human metabolic network reveals links between n-3 fat intake, adipose tissue gene expression and metabolic health.PLoS computational biology · 2011Trial
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- Metabolites of pathogenic microorganisms database (MPMdb) and its seed metabolite applications.Microbiology spectrum · 2024Article
- Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases.Metabolites · 2024Review
- Identification and Characterization of Metabolic Subtypes of Endometrial Cancer Using a Systems-Level Approach.Metabolites · 2023Article
- Distinct Functional Metagenomic Markers Predict the Responsiveness to Anti-PD-1 Therapy in Chinese Non-Small Cell Lung Cancer Patients.Frontiers in oncology · 2022Article
- A global analysis on the differential regulation of RNA binding proteins (RBPs) by TNF-α as potential modulators of metabolic syndromes.BBA advances · 2022Article
- Genomic and microbial factors affect the prognosis of anti-pd-1 immunotherapy in nasopharyngeal carcinoma.Frontiers in oncology · 2022Article
- Systems Level Understanding of Circadian Integration with Cell Physiology.Journal of molecular biology · 2020Review
- Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts.Cell systems · 2018Article
- Fast automated reconstruction of genome-scale metabolic models for microbial species and communities.Nucleic acids research · 2018Article
- T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders.Scientific reports · 2017Article
- Metabolic shifts in residual breast cancer drive tumor recurrence.The Journal of clinical investigation · 2017Article
- Altered gene expression and repressed markers of autophagy in skeletal muscle of insulin resistant patients with type 2 diabetes.Scientific reports · 2017Article
- Metabolomic analysis reveals altered metabolic pathways in a rat model of gastric carcinogenesis.Oncotarget · 2016Article
- Statistical Mechanics of Allosteric Enzymes.The journal of physical chemistry. B · 2016Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.