Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression

Integrated genomic and transcriptomic analyses were employed to identify novel molecular targets and elucidate underlying mechanisms in the progression from unruptured to ruptured intracranial aneurysms (IAs). The study integrated differentially expressed genes identified through GWAS-based SNP screening and transcriptomic analysis of three independent datasets (GSE13353, GSE26969, GSE75436). Protein-protein interaction network construction and functional enrichment analysis of overlapping genes revealed two key interactions: ITGAX-JAM3 and KLHL28-TOGARAM1, with ITGAX and MAGI2 emerging as consensus genes across all datasets. Machine learning-based prioritisation via LASSO regression with L1 penalty selected optimal characteristic genes, validated through ROC curve analysis (AUC > 0.85). These findings demonstrate that ITGAX, JAM3, KLHL28, TOGARAM1, and MAGI2 represent promising molecular targets worthy of further investigation in the context of hypertension-driven mechano-immune crosstalk during IA rupture progression, providing new insights for both mechanistic studies and clinical management strategies.

Authors

Institutions

Publication Details

Journal
International Journal of Data Mining and Bioinformatics
Published
2026-01-01
DOI
https://doi.org/10.1504/ijdmb.2026.150996
Primary Topic
Intracranial Aneurysms: Treatment and Complications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression

Ji Yun Liu, Jun Yuan, Xuan Yin, Li Luo
International Journal of Data Mining and Bioinformatics
Intracranial Aneurysms: Treatment and Complications
article

Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression

Ji Yun Liu, Jun Yuan, Xuan Yin, Li Luo
article en

Abstract

Integrated genomic and transcriptomic analyses were employed to identify novel molecular targets and elucidate underlying mechanisms in the progression from unruptured to ruptured intracranial aneurysms (IAs). The study integrated differentially expressed genes identified through GWAS-based SNP screening and transcriptomic analysis of three independent datasets (GSE13353, GSE26969, GSE75436). Protein-protein interaction network construction and functional enrichment analysis of overlapping genes revealed two key interactions: ITGAX-JAM3 and KLHL28-TOGARAM1, with ITGAX and MAGI2 emerging as consensus genes across all datasets. Machine learning-based prioritisation via LASSO regression with L1 penalty selected optimal characteristic genes, validated through ROC curve analysis (AUC > 0.85). These findings demonstrate that ITGAX, JAM3, KLHL28, TOGARAM1, and MAGI2 represent promising molecular targets worthy of further investigation in the context of hypertension-driven mechano-immune crosstalk during IA rupture progression, providing new insights for both mechanistic studies and clinical management strategies.

International Journal of Data Mining and BioinformaticsVol. 30(5)
Shenzhen Maternity and Child Healthcare Hospital (CN), Xian Yang Central Hospital (CN)
Openalex Percentile: Top 92%
Intracranial Aneurysms: Treatment and Complications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.