ArticleJournal of diabetes research2017
Expression Profile of Genes Potentially Associated with Adequate Glycemic Control in Patients with Type 2 Diabetes Mellitus.
Article in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Integrated transcriptomic network analysis reveals shared immunogenomic regulators between glioma and type 2 diabetes, highlighting VCAN as a prominent marker.Scientific reports · 2026Article
- Structural basis for the catalytic mechanism of human lipid phosphate phosphatases.Nature chemical biology · 2026Article
- EIF1 coordinates transcriptomic and splicing networks associated with cell cycle dysregulation in diabetic retinopathy.PloS one · 2026Article
- Basic biology and roles of CEBPD in cardiovascular disease.Cell death discovery · 2025Review
- Article
- "Hyperglycemic Memory": Observational Evidence to Experimental Inference.Current diabetes reviews · 2025Review
- PPIC-labeled CAFs: Key players in neoadjuvant chemotherapy resistance for gastric cancer.Translational oncology · 2024Article
- Review
- Comprehensive analysis of epigenomics and transcriptome data to identify potential target genes associated with obesity.Frontiers in genetics · 2022Article
- Circulating lymphocytes and monocytes transcriptomic analysis of patients with type 2 diabetes mellitus, dyslipidemia and periodontitis.Scientific reports · 2020Article
- Article
- Integrated analysis of hepatic mRNA and miRNA profiles identified molecular networks and potential biomarkers of NAFLD.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite increasing research in type 2 diabetes mellitus (T2D), there are few studies showing the impact of the poor glycemic control on biological processes occurring in T2D. In order to identify potential genes related to poorly/well-controlled patients with T2D, our strategy of investigation included a primary screen by microarray (Human Genome U133) in a small group of individuals followed by an independent validation in a greater group using RT-qPCR. Ninety patients were divided as follows: poorly controlled T2D (G1), well-controlled T2D (G2), and normoglycemic individuals (G3). After using affy package in R, differentially expressed genes (DEGs) were prospected as candidate genes potentially relevant for the glycemic control in T2D patients. After validation by RT-qPCR, the obtained DEGs were as follows-G1 + G2 versus G3:
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