ArticleJournal of inflammation research2026
Integrated Bioinformatic Analysis of the Shared Molecular Mechanisms Between Diabetic Nephropathy and Atherosclerosis.
Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Background: Increasing evidence suggests that individuals with diabetic nephropathy (DN) are at a significantly higher risk of developing atherosclerosis (AS) compared to the general population. However, the precise mechanisms underlying this association remain unclear. This study aims to explore the shared pathways and potential biomarkers implicated in this complication. Methods: Microarray data downloaded from the Gene Expression Omnibus (GEO) database were used to identify differentially expressed genes (DEGs) in DN and AS. Weighted gene co-expression network analysis (WGCNA) was applied to identify co-expression modules relevant to DN and AS. We conducted functional pathway enrichment analysis on the shared genes. Support vector machine (SVM) and least absolute shrinkage and selection operator (LASSO) methods were utilized to identify and validate potential diagnostic markers. Additionally, immunoinfiltration analysis was performed to examine the relationship between the core markers of DN and AS and the expression of immunoinfiltrating cells. Finally, blood samples from patients were collected to assess the diagnostic efficacy of Results: The results of common genes analysis showed that immune and inflammatory response particularly cytokine-cytokine receptor interactions may be a common feature in the pathophysiology of DN and AS. Three potential shared diagnostic markers- Conclusion: The co-expression of
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