ArticleMolecular medicine reports2018
Integrated analysis of the gene expression profile and DNA methylation profile of obese patients with type 2 diabetes.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 24 citations in OpenAlex.
- Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates.Journal, genetic engineering & biotechnology · 2026Article
- The beneficial effect of hepatic ER stress-associated protein PDI on obesity-associated glucose dysregulation.Nutrition & metabolism · 2025Article
- Healthy dietary pattern and accelerated biological aging in perimenopausal and postmenopausal women: among different BMI statuses.European journal of nutrition · 2025Article
- Network pharmacology to unveil the mechanism of suanzaoren decoction in the treatment of alzheimer's with diabetes.Hereditas · 2024Article
- Association of the DNA Methylation of Obesity-Related Genes with the Dietary Nutrient Intake in Children.Nutrients · 2023Article
- DNA methylation and gene expression analysis in adipose tissue to identify new loci associated with T2D development in obesity.Nutrition & diabetes · 2022Article
- Epigenetic Effects of Healthy Foods and Lifestyle Habits from the Southern European Atlantic Diet Pattern: A Narrative Review.Advances in nutrition (Bethesda, Md.) · 2022Review
- Article
- MicroRNA‑532‑5p regulates oxidative stress and insulin secretion damage in high glucose‑induced pancreatic β cells by downregulating the expression levels of CCND1.Molecular medicine reports · 2021Article
- Multi-omics integration strategies for animal epigenetic studies - A review.Animal bioscience · 2021Article
- Epigenetic Regulation of Processes Related to High Level of Fibroblast Growth Factor 21 in Obese Subjects.Genes · 2021Article
- DNA methylation microarrays identify epigenetically regulated lipid related genes in obese patients with hypercholesterolemia.Molecular medicine (Cambridge, Mass.) · 2020Article
- Article
- Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases.International journal of molecular sciences · 2020Article
- Shared Causal Paths underlying Alzheimer's dementia and Type 2 Diabetes.Scientific reports · 2020Article
- Association of GCK gene DNA methylation with the risk of clopidogrel resistance in acute coronary syndrome patients.Journal of clinical laboratory analysis · 2020Article
- Hypermethylation in Calca Promoter Inhibited ASC Osteogenic Differentiation in Rats with Type 2 Diabetic Mellitus.Stem cells international · 2020Article
- Hepatic gene expression variations in response to high-fat diet-induced impaired glucose tolerance using RNAseq analysis in collaborative cross mouse population.Mammalian genome : official journal of the International Mammalian Genome Society · 2019Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to better understand the etiology of obese type 2 diabetes (T2D) at the molecular level, the present study investigated the gene expression and DNA methylation profiles associated with T2D via systemic analysis. Gene expression (GSE64998) and DNA methylation profiles (GSE65057) from liver tissues of healthy controls and obese patients with T2D were downloaded from the Gene Expression Omnibus database. Differentially‑expressed genes (DEGs) and differentially‑methylated genes (DMGs) were identified using the Limma package, and their overlapping genes were additionally determined. Enrichment analysis was performed using the BioCloud platform on the DEGs and the overlapping genes. Using Cytoscape software, protein‑protein interaction (PPI), transcription factor target networks and microRNA (miRNA) target networks were then constructed in order to determine associated hub genes. In addition, a further GSE15653 dataset was utilized in order to validate the DEGs identified in the GSE64998 dataset analyses. A total of 251 DEGs, including 124 upregulated and 127 downregulated genes, were detected, and a total of 9,698 genes were demonstrated to be differentially methylated in obese patients with T2D compared with non‑obese healthy controls. A total of 103 overlapping genes between the two datasets were revealed, including 47 upregulated genes and 56 downregulated genes. The identified overlapping genes were revealed to be strongly associated with fatty acid and glucose metabolic pathways, in addition to oxidation/reduction. The overlapping genes cyclin D1 (CCND1), PPARG coactivator α (PPARGC1A), fatty acid synthase (FASN), glucokinase (GCK), steraroyl‑coA desaturase (SCD) and tyrosine aminotransferase (TAT) had higher degrees in the PPI, transcription target networks and miRNA target networks. In addition, among the 251 DEGs, a total of 35 DEGs were validated to be being shared genes between the datasets, which included a number of key genes in the PPI network, including CCND1, FASN and TAT. Abnormal gene expression and DNA methylation patterns that were implicated in fatty acid and glucose metabolic pathways and oxidation/reduction reactions were detected in obese patients with T2D. Furthermore, the CCND1, PPARGC1A, FANS, GCK, SCD and TAT genes may serve a role in the development of obesity‑associated T2D.
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