ArticleAnnals of medicine and surgery (2012)2025
Multi-omics integration reveals hypoxia-driven mechanisms in vascular dementia: a machine learning and single-cell sequencing approach.
Article in Annals of medicine and surgery (2012), 2025. 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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Abstract
Background: This study aimed to identify and analyze hub hypoxia-related genes in vascular dementia (VaD) and explore their roles in metabolism, immune response, and cell differentiation, thereby offering potential biomarkers and therapeutic targets. Methods: Using VaD datasets (GSE122063, GSE282111) from Gene Expression Omnibus (including high-throughput and single-cell sequencing data), analyses were performed via R preprocessing, WGCNA, and machine learning. A chronic cerebral hypoperfusion model was established by two-vessel occlusion (2VO), with verification through immunohistochemistry. Results: WGCNA identified 7451 module genes and 36 overlapping hypoxia-related genes; machine learning pinpointed Conclusions: This study identified
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