ArticleCardiovascular diabetology2012
Global gene expression profiling displays a network of dysregulated genes in non-atherosclerotic arterial tissue from patients with type 2 diabetes.
Article in Cardiovascular diabetology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 38 citations in OpenAlex.
- Low-dose spironolactone reduces plasma fibulin-1 levels in patients with type 2 diabetes and resistant hypertension.Journal of human hypertension · 2015Trial
- Differential regulation during development, aging, and disease implies heart cell specific functions of the Mediator Complex.Journal of molecular and cellular cardiology plus · 2025Article
- Identification and Validation of the Key Genes of Diabetic Vasculopathy: Evidence Based on Bioinformatics Analysis and Animal Study.International journal of genomics · 2025Article
- Insulin receptors in vascular smooth muscle cells regulate plaque stability of atherosclerosis.Cardiovascular research · 2024Article
- Metabolic, structural and biochemical changes in diabetes and the development of heart failure.Diabetologia · 2022Review
- HADH may be the target molecule of early vascular endothelial impairment in T2DM.Frontiers in cardiovascular medicine · 2022Article
- Genomic profiling and network-level understanding uncover the potential genes and the pathways in hepatocellular carcinoma.Frontiers in genetics · 2022Article
- A Comprehensive Survey of Tools and Software for Active Subnetwork Identification.Frontiers in genetics · 2019Review
- No detectable differential microRNA expression between non-atherosclerotic arteries of type 2 diabetic patients (treated or untreated with metformin) and non-diabetic patients.Cardiovascular diabetology · 2018Article
- Diabetes adversely affects phospholipid profiles in human carotid artery endarterectomy plaques.Journal of lipid research · 2018Article
- Microarray analysis reveals gene and microRNA signatures in diabetic kidney disease.Molecular medicine reports · 2018Article
- Tissue Non-Specific Genes and Pathways Associated with Diabetes: An Expression Meta-Analysis.Genes · 2017Article
- Galectin-3 and fibulin-1 in systolic heart failure - relation to glucose metabolism and left ventricular contractile reserve.BMC cardiovascular disorders · 2017Article
- Analysis of gene expression profile identifies potential biomarkers for atherosclerosis.Molecular medicine reports · 2016Article
- AlzBase: an Integrative Database for Gene Dysregulation in Alzheimer's Disease.Molecular neurobiology · 2016Article
- Downregulation of type II diabetes mellitus and maturity onset diabetes of young pathways in human pancreatic islets from hyperglycemic donors.Journal of diabetes research · 2014Article
- Systems analysis of oxidant stress in the vasculature.IUBMB life · 2013Article
- High glucose induces upregulation of scavenger receptors and promotes maturation of dendritic cells.Cardiovascular diabetology · 2013Article
- Metabolic syndrome influences cardiac gene expression pattern at the transcript level in male ZDF rats.Cardiovascular diabetology · 2013Article
- Alterations of specific biomarkers of metabolic pathways in vascular tree from patients with Type 2 diabetes.Cardiovascular diabetology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGeneralized arterial alterations, such as endothelial dysfunction, medial matrix accumulations, and calcifications are associated with type 2 diabetes (T2D). These changes may render the vessel wall more susceptible to injury; however, the molecular characteristics of such diffuse pre-atherosclerotic changes in diabetes are only superficially known.
methodsTo identify the molecular alterations of the generalized arterial disease in T2D, DNA microarrays were applied to examine gene expression changes in normal-appearing, non-atherosclerotic arterial tissue from 10 diabetic and 11 age-matched non-diabetic men scheduled for a coronary by-pass operation. Gene expression changes were integrated with GO-Elite, GSEA, and Cytoscape to identify significant biological pathways and networks.
resultsGlobal pathway analysis revealed differential expression of gene-sets representing matrix metabolism, triglyceride synthesis, inflammation, insulin signaling, and apoptosis. The network analysis showed a significant cluster of dysregulated genes coding for both intra- and extra-cellular proteins associated with vascular cell functions together with genes related to insulin signaling and matrix remodeling.
conclusionsOur results identify pathways and networks involved in the diffuse vasculopathy present in non-atherosclerotic arterial tissue in patients with T2D and confirmed previously observed mRNA-alterations. These abnormalities may play a role for the arterial response to injury and putatively for the accelerated atherogenesis among patients with diabetes.
Indexed as
Identifiers
What OpenQuestion holds
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.