ArticleScientific reports2022
Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Integrative gene target mapping, RNA sequencing, in silico molecular docking, ADMET profiling and molecular dynamics simulation study of marine derived molecules for type 1 diabetes mellitus.Molecular diversity · 2026Article
- Molecular Mechanisms of Perivascular Macrophages in Alzheimer's Disease: Insights from Single-Cell Sequencing and Mendelian Randomization.Cellular and molecular neurobiology · 2025Article
- Whole Exome Sequencing in 26 Saudi Patients Expands the Mutational and Clinical Spectrum of Diabetic Nephropathy.Medicina (Kaunas, Lithuania) · 2025Article
- YBX1-driven TUBB6 upregulation facilitates ocular angiogenesis via WNT3A-FZD8 pathway.Theranostics · 2025Article
- The Effect of Vitamin D Deficiency on Immune-Related Hub Genes: A Network Analysis Associated With Type 1 Diabetes.Cureus · 2024Article
- Novel Factors Regulating Proliferation, Migration, and Differentiation of Fibroblasts, Keratinocytes, and Vascular Smooth Muscle Cells during Wound Healing.Biomedicines · 2024Review
- Repurposing anti-osteoporosis drugs for autoimmune diseases: A two-sample Mendelian randomization study.Heliyon · 2024Article
- Cell-specific gene networks and drivers in rheumatoid arthritis synovial tissues.Frontiers in immunology · 2024Article
- Pancreatic loss of Mig6 alters murine endocrine cell fate and protects functional beta cell mass in an STZ-induced model of diabetes.bioRxiv : the preprint server for biology · 2023Article
- Discovering genetic linkage between periodontitis and type 1 diabetes: A bioinformatics study.Frontiers in genetics · 2023Article
- Identification of biomarkers associated with immune scores in diabetic retinopathy.Frontiers in endocrinology · 2023Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis. In this study, differentially expressed genes (DEGs) were analyzed using DESeq2 of R package from GSE162689 of the Gene Expression Omnibus (GEO). Gene ontology (GO) enrichment analysis, REACTOME pathway enrichment analysis, and construction and analysis of protein-protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network, and validation of hub genes were performed. A total of 952 DEGs (477 up regulated and 475 down regulated genes) were identified in T1DM. GO and REACTOME enrichment result results showed that DEGs mainly enriched in multicellular organism development, detection of stimulus, diseases of signal transduction by growth factor receptors and second messengers, and olfactory signaling pathway. The top hub genes such as MYC, EGFR, LNX1, YBX1, HSP90AA1, ESR1, FN1, TK1, ANLN and SMAD9 were screened out as the critical genes among the DEGs from the PPI network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network. Receiver operating characteristic curve (ROC) analysis confirmed that these genes were significantly associated with T1DM. In conclusion, the identified DEGs, particularly the hub genes, strengthen the understanding of the advancement and progression of T1DM, and certain genes might be used as candidate target molecules to diagnose, monitor and treat T1DM.
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