ArticleFrontiers in endocrinology2023
Identification and analysis of type 2 diabetes-mellitus-associated autophagy-related genes.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 13 citations in OpenAlex.
- Multi-omics data mining combined with experimental validation reveals ferroptosis- and autophagy-associated hub genes as diagnostic candidates and immune modulators in atherosclerosis.Animal models and experimental medicine · 2026Article
- Mitochondrial Dynamics in Diabetic Kidney Disease: Underlying Mechanisms and Novel Therapeutics.International journal of molecular sciences · 2026Review
- Machine learning and bioinformatics identify and validate membrane protein biomarkers for type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
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- Integrated Genetic and Protein Mechanisms Underlying Glucagon-like Peptide-1 Receptor Agonists in Treating Diabetes Mellitus and Weight Loss.Current issues in molecular biology · 2025Article
- Altered Inhibitory Synaptic Transmission and Changes in GABAergic Markers in the Hippocampus of Genetic and Environmental Animal Model of Autism.Neurochemical research · 2025Article
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- Key Common Genes with LTF and MMP9 Between Sepsis and Relapsed B-Cell Lineage Acute Lymphoblastic Leukemia in Children.Biomedicines · 2025Article
- Machine learning-based stratification of prediabetes and type 2 diabetes progression.Diabetology & metabolic syndrome · 2025Article
- Plasma-derived exosomal miRNAs as potentially novel biomarkers for type 2 diabetes mellitus with abdominal obesity.Frontiers in endocrinology · 2025Article
- Portfolio analysis of single-cell RNA-sequencing and transcriptomic data unravels immune cells and telomere-related biomarkers in sepsis.Frontiers in immunology · 2025Article
- Global and Regional Burden of Type 2 Diabetes Mellitus Attributable to Low Physical Activity From 1990 to 2021.Journal of diabetes · 2025Article
- Article
- Restoring autophagic function: a case for type 2 diabetes mellitus drug repurposing in Parkinson's disease.Frontiers in neuroscience · 2023Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Autophagy, an innate safeguard mechanism for protecting the organism against harmful agents, is implicated in the survival of pancreatic â cells and the development of type 2 diabetes mellitus (T2DM). Potential autophagy-related genes (ARGs) may serve as potential biomarkers for T2DM treatment. Methods: The GSE25724 dataset was downloaded from the Gene Expression Omnibus (GEO) database, and ARGs were obtained from the Human Autophagy Database. The differentially expressed autophagy-related genes (DEARGs) were screened at the intersection of ARGs and differentially expressed genes (DEGs) between T2DM and non-diabetic islet samples, which were subjected to functional enrichment analyses. A protein-protein interaction (PPI) network was constructed to identify hub DEARGs. Expressions of top 10 DEARGs were validated in human pancreatic â-cell line NES2Y and rat pancreatic INS-1 cells using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Cell viability and insulin secretion were measured after cell transfection with lentiviral vector EIF2AK3 or RB1CC1 into islet cells. Results: In total, we discovered 1,270 DEGs (266 upregulated and 1,004 downregulated genes) and 30 DEARGs enriched in autophagy- and mitophagy-related pathways. In addition, we identified GAPDH, ITPR1, EIF2AK3, FOXO3, HSPA5, RB1CC1, LAMP2, GABARAPL2, RAB7A, and WIPI1 genes as the hub ARGs. Next, qRT-PCR analysis revealed that expressions of hub DEARGs were consistent with findings from bioinformatics analysis. EIF2AK3, GABARAPL2, HSPA5, LAMP2, and RB1CC1 were both differentially expressed in the two cell types. Overexpression of EIF2AK3 or RB1CC1 promoted cell viability of islet cells and increased the insulin secretion. Discussion: This study provides potential biomarkers as therapeutic targets for T2DM.
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