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Identification of key genes and biological pathways associated with vascular aging in diabetes based on bioinformatics and machine learning

27 May 2024

Abstract excerpt

Vascular aging exacerbates diabetes-associated vascular damage, a major cause of microvascular and macrovascular complications. This study aimed to elucidate key genes and pathways underlying vascular aging in diabetes using integrated bioinformatics and machine learning approaches. Gene expression datasets related to vascular smooth muscle cell (VSMC) senescence and diabetic vascular aging were analyzed....

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PMID: 38809515
DOI: 10.18632/aging.205870

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