ArticleOxidative medicine and cellular longevity2022
Identification and Experimental Validation of Marker Genes between Diabetes and Alzheimer's Disease.
Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Neurexins, Ephrin receptors, and N-cadherin signaling as emerging mechanisms in synaptic dysfunction and neurodegenerative diseases.Communications biology · 2026Review
- Mechanisms of IGF1R signaling in type 2 diabetes-related neurodegeneration and therapeutic implications of exercise.European journal of medical research · 2025Article
- Relationship between Alzheimer's Disease and Type 2 Diabetes: Critical Review On Cellular and Molecular Common Pathogenic Mechanisms.Current Alzheimer research · 2025Review
- Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment.World journal of diabetes · 2024Article
- Identification of novel diagnostic panel for mild cognitive impairment and Alzheimer's disease: findings based on urine proteomics and machine learning.Alzheimer's research & therapy · 2023Article
- Identification and validation of aging-related gene signatures and their immune landscape in diabetic nephropathy.Frontiers in medicine · 2023Article
- Biomarker discovery process at binomial decision point (2BDP): Analytical pipeline to construct biomarker panel.Computational and structural biotechnology journal · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
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Abstract
Currently, Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) are widely prevalent in the elderly population, and accumulating evidence implies a strong link between them. For example, patients with T2DM have a higher risk of developing neurocognitive disorders, including AD, but the exact mechanisms are still unclear. This time, by combining bioinformatics analysis and in vivo experimental validation, we attempted to find a common biological link between AD and T2DM. We firstly downloaded the gene expression profiling (AD: GSE122063; T2DM: GSE161355) derived from the temporal cortex. To find the associations, differentially expressed genes (DEGs) of the two datasets were filtered and intersected. Based on them, enrichment analysis was carried out, and the least absolute shrinkage and selection operator (LASSO) logistic regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were used to identify the specific genes. After verifying in the external dataset and in the samples from the AD and type 2 diabetes animals, the shared targets of the two diseases were finally determined. Based on them, the ceRNA networks were constructed. Besides, the logistic regression and single-sample gene set enrichment analysis (ssGSEA) were performed. As a result, 62 DEGs were totally identified between AD and T2DM, and the enrichment analysis indicated that they were much related to the function of synaptic vesicle and MAPK signaling pathway. Based on the evidence from external dataset and RT-qPCR, CARTPT, EPHA5, and SERPINA3 were identified as the marker genes in both diseases, and their clinical significance and biological functions were further analyzed. In conclusion, discovering and exploring the marker genes that are dysregulated in both 2 diseases could help us better comprehend the intrinsic relationship between T2DM and AD, which may inspire us to develop new strategies for facing the dilemmas of clinical or basic research in cognitive dysfunction.
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