Machine learning combined with omics-based approaches reveals T-lymphocyte cellular fate imbalance in abdominal aortic aneurysm

Through the analysis of single-cell and bulk data, hallmarks of human AAA cellular landscape and T-cell comprehensive developmental relationships were recapitulated. This study identified important roles of T-cell and the molecular mechanisms for the dynamic T-cell infiltrating process, which could characterize disease status and landscape of human AAA microenvironment. Using the deep learning algorithms, FOSB and JUNB were demonstrated as pivotal biomarkers of AAA, together with screening the potential pharmacologic agents targeting T-cell polarization. Taken together, this expands the current understanding of AAA pathogenesis and may provide a feasible immune-targeted therapeutic strategy.

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Publication Details

Journal
BMC Biology
Published
2025-09-26
DOI
https://doi.org/10.1186/s12915-025-02400-x
Citations
2
Primary Topic
Aortic aneurysm repair treatments
Type
article
Field-Weighted Citation Impact
3.04

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article

Machine learning combined with omics-based approaches reveals T-lymphocyte cellular fate imbalance in abdominal aortic aneurysm

Ruhao Wu, Pengchong Du, Xiaolin Cui, Chang Cao et al.
2 citations
BMC Biology
Aortic aneurysm repair treatments
3.04
article

Machine learning combined with omics-based approaches reveals T-lymphocyte cellular fate imbalance in abdominal aortic aneurysm

Ruhao Wu, Pengchong Du, Xiaolin Cui, Chang Cao, Junnan Tang, Demin Li, Guo-Ping Shi, Jiamin Gao, Yang Yu, Xuesong He, Yan Lv, Jinying Zhang, Yujia Wang, Peiyu Yuan, Ge Zhang, Bo Lan, Yiling Cao
article en
2 citations

Abstract

Through the analysis of single-cell and bulk data, hallmarks of human AAA cellular landscape and T-cell comprehensive developmental relationships were recapitulated. This study identified important roles of T-cell and the molecular mechanisms for the dynamic T-cell infiltrating process, which could characterize disease status and landscape of human AAA microenvironment. Using the deep learning algorithms, FOSB and JUNB were demonstrated as pivotal biomarkers of AAA, together with screening the potential pharmacologic agents targeting T-cell polarization. Taken together, this expands the current understanding of AAA pathogenesis and may provide a feasible immune-targeted therapeutic strategy.

BMC BiologyVol. 23(1)
Brigham and Women's Hospital (US), Harvard University (US), Henan University (CN), Henan Academy of Sciences (CN), Henan University of Engineering (CN), Zhongda Hospital Southeast University (CN), Chinese University of Hong Kong, Shenzhen (CN), First Affiliated Hospital of Zhengzhou University (CN), Henan Provincial Center for Disease Control and Prevention (CN), Southeast University (CN)
National Heart Foundation of New Zealand, National Natural Science Foundation of China, Zhengzhou University, Innovation Scientists and Technicians Troop Construction Projects of Henan Province, First Affiliated Hospital of Zhengzhou University, National Heart, Lung, and Blood Institute
Openalex Percentile: Top 8%
Aortic aneurysm repair treatments
3.04
DOIOpen Access PDFOpenAlex
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