<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang H</submitter><funding>National Natural Science Foundation of China</funding><pagination>2101-2119</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10630182</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(6)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Smoking is an independent risk factor for the formation and rupture of intracranial aneurysms (IA). However, the underlying mechanism remains unclear.&lt;h4>Methods&lt;/h4>In this study, we performed miRNA sequencing on plasma from 10 smoking patients with IA, 10 non-smoking patients with IA, and 10 healthy controls. The differentially expressed miRNAs (DE miRNAs) between smoking and non-smoking patients with IA were identified. Functional and pathway enrichment analysis is employed to investigate the potential functions of those DE miRNA target genes. The correlations with the clinical parameters were assessed using receiver operating characteristic curve (ROC) analysis.&lt;h4>Results&lt;/h4>In total, we identified 428 DE miRNAs. Functional enrichment analysis showed the target g</pubmed_abstract><journal>Neurology and therapy</journal><pubmed_title>Identification of miRNAs Involved in Intracranial Aneurysm Rupture in Cigarette-Smoking Patients.</pubmed_title><pmcid>PMC10630182</pmcid><funding_grant_id>82201541</funding_grant_id><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Tan Y</pubmed_authors><pubmed_authors>Fang C</pubmed_authors><pubmed_authors>Wang H</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Wang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of miRNAs Involved in Intracranial Aneurysm Rupture in Cigarette-Smoking Patients.</name><description>&lt;h4>Introduction&lt;/h4>Smoking is an independent risk factor for the formation and rupture of intracranial aneurysms (IA). However, the underlying mechanism remains unclear.&lt;h4>Methods&lt;/h4>In this study, we performed miRNA sequencing on plasma from 10 smoking patients with IA, 10 non-smoking patients with IA, and 10 healthy controls. The differentially expressed miRNAs (DE miRNAs) between smoking and non-smoking patients with IA were identified. Functional and pathway enrichment analysis is employed to investigate the potential functions of those DE miRNA target genes. The correlations with the clinical parameters were assessed using receiver operating characteristic curve (ROC) analysis.&lt;h4>Results&lt;/h4>In total, we identified 428 DE miRNAs. Functional enrichment analysis showed the target g</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2026-05-28T14:51:16.66Z</modification><creation>2025-04-05T12:18:57.656Z</creation></dates><accession>S-EPMC10630182</accession><cross_references><pubmed>37792217</pubmed><doi>10.1007/s40120-023-00547-9</doi></cross_references></HashMap>