Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches

This study uncovers significant disruptions in metabolic and immune pathways in IA under nicotine influence, identifying TGFB1, MCL1, and CDKN1A as critical biomarkers. These findings offer a deeper understanding of IA's molecular mechanisms and potential therapeutic targets for nicotine-related toxicity.

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Publication Details

Journal
BMC Pharmacology and Toxicology
Published
2025-04-17
DOI
https://doi.org/10.1186/s40360-025-00921-3
Citations
1
Primary Topic
Intracranial Aneurysms: Treatment and Complications
Type
article
Field-Weighted Citation Impact
1.39
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article

Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches

Qiang Ma, Longnian Zhou, Zhi Li
1 citations
BMC Pharmacology and Toxicology
Intracranial Aneurysms: Treatment and Complications
1.39
article

Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches

Qiang Ma, Longnian Zhou, Zhi Li
article en
1 citations

Abstract

This study uncovers significant disruptions in metabolic and immune pathways in IA under nicotine influence, identifying TGFB1, MCL1, and CDKN1A as critical biomarkers. These findings offer a deeper understanding of IA's molecular mechanisms and potential therapeutic targets for nicotine-related toxicity.

BMC Pharmacology and ToxicologyVol. 26(1)
Hexi University (CN)
Openalex Percentile: Top 21%
Intracranial Aneurysms: Treatment and Complications
1.39
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