Identification of novel lipid metabolism-related biomarkers of aortic dissection by integrating single-cell RNA sequencing analysis and machine learning algorithms

These findings suggest that PLIN2/PLIN3 could be key mediators of metabolic dysregulation and immune activation in aortic dissection, highlighting their potential as diagnostic markers and therapeutic targets.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-10-30
DOI
https://doi.org/10.3389/fimmu.2025.1681989
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Identification of novel lipid metabolism-related biomarkers of aortic dissection by integrating single-cell RNA sequencing analysis and machine learning algorithms

Yong‐Qiang Deng, Zetong Zheng, Qiang Zhao, Jiashu Sun et al.
Frontiers in Immunology
Single-cell and spatial transcriptomics
article

Identification of novel lipid metabolism-related biomarkers of aortic dissection by integrating single-cell RNA sequencing analysis and machine learning algorithms

Yong‐Qiang Deng, Zetong Zheng, Qiang Zhao, Jiashu Sun, Zhechen Li, Fei Xiao, Gang Li
article en

Abstract

These findings suggest that PLIN2/PLIN3 could be key mediators of metabolic dysregulation and immune activation in aortic dissection, highlighting their potential as diagnostic markers and therapeutic targets.

Frontiers in ImmunologyVol. 16
Beijing Luhe Hospital Affiliated to Capital Medical University (CN), Beijing Anzhen Hospital (CN), Beijing Institute of Water (CN)
Openalex Percentile: Top 72%
Single-cell and spatial transcriptomics
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