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

Journal: BMC pharmacology & toxicology

PMID: 40247428

Abstract

BACKGROUND: Intracranial aneurysm (IA) is a critical cerebrovascular condition, and nicotine exposure is a known risk factor. This study delves into the toxicological mechanisms of nicotine in IA, aiming to identify key biomarkers and therapeutic targets.

Authors

Qiang Ma

Department of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.
Longnian Zhou

Department of Neurosurgery II, Hexi University Affiliated Zhangye People's Hospital, No. 67 Xihuan Road, Ganzhou District, Zhangye, Gansu Province, 734000, China.
Zhongde Li

Department of Neurosurgery II, Hexi University Affiliated Zhangye People's Hospital, No. 67 Xihuan Road, Ganzhou District, Zhangye, Gansu Province, 734000, China. lizhongde01231@aliyun.com.

Keywords

Animals Computational Biology Gene Regulatory Networks Humans Intracranial Aneurysm Machine Learning Molecular Docking Simulation Nicotine

External Resources

View on PubMed Access via DOI PubMed (40247428)

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

Abstract

Authors

Keywords

External Resources

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