<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16</volume><submitter>Zhao Y</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>This study aimed to identify key immune genes to provide new perspectives on the mechanisms and diagnosis of vascular dementia (VaD) based on bioinformatic methods combined with biological experiments in mice.&lt;h4>Methods&lt;/h4>We obtained gene expression profiles from a Gene Expression Omnibus database (GSE186798). The gene expression data were analysed using integrated bioinformatics and machine learning techniques to pinpoint potential key immune-related genes for diagnosing VaD. Moreover, the diagnostic accuracy was evaluated through receiver operating characteristic curve analysis. The microRNA, transcription factor (TF), and drug-regulating hub genes were predicted using the database. Immune cell infiltration has been studied to investigate the dysregulation of immune</pubmed_abstract><journal>Frontiers in immunology</journal><pagination>1560438</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11973090</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Integrated bioinformatics analysis and biological experiments to identify key immune genes in vascular dementia.</pubmed_title><pmcid>PMC11973090</pmcid><pubmed_authors>Xing W</pubmed_authors><pubmed_authors>Chen W</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Zhao Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrated bioinformatics analysis and biological experiments to identify key immune genes in vascular dementia.</name><description>&lt;h4>Objectives&lt;/h4>This study aimed to identify key immune genes to provide new perspectives on the mechanisms and diagnosis of vascular dementia (VaD) based on bioinformatic methods combined with biological experiments in mice.&lt;h4>Methods&lt;/h4>We obtained gene expression profiles from a Gene Expression Omnibus database (GSE186798). The gene expression data were analysed using integrated bioinformatics and machine learning techniques to pinpoint potential key immune-related genes for diagnosing VaD. Moreover, the diagnostic accuracy was evaluated through receiver operating characteristic curve analysis. The microRNA, transcription factor (TF), and drug-regulating hub genes were predicted using the database. Immune cell infiltration has been studied to investigate the dysregulation of immune</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-06-03T04:53:45.058Z</modification><creation>2026-05-28T03:05:56.423Z</creation></dates><accession>S-EPMC11973090</accession><cross_references><pubmed>40196107</pubmed><doi>10.3389/fimmu.2025.1560438</doi></cross_references></HashMap>