Integrative multi-omics analysis of plasma pQTL prioritizes CELSR2 as a novel therapeutic target for atherosclerosis

Atherosclerosis (AS) is a multifactorial disease and a leading cause of cardiovascular diseases, imposing a significant burden on global health. While there is considerable progress in elucidating its pathogenesis, the understanding of AS remains incomplete. Consequently, the identification of novel therapeutic targets is paramount to developing more comprehensive therapeutic interventions. We applied integrative approaches, including Summary-data-based Mendelian randomization (SMR), colocalization, and machine learning to prioritize causal genes. Experimental validation encompassed reverse transcription-real-time polymerase chain reaction (RT-qPCR), immunofluorescence, and single-cell RNA-seq in human plaques, complemented by ox-LDL-induced cellular models. Drug prediction and molecular docking were performed to assess therapeutic potential. A total of 15 relevant positive genes were identified by SMR, and the gene cadherin EGF LAG seven-pass G-type receptor 2( CELSR2 ) was verified as a key gene. Subsequent RT-qPCR and immunofluorescence of human carotid atherosclerotic plaques confirmed that CELSR2 showed different expression in the pathological state of AS. RT-qPCR combined with single-cell sequencing analysis led us to conclude that CELSR2 is a key target in the pathogenesis of AS. CELSR2 is an experimentally validated AS-related gene, which is important for unraveling the pathogenesis of AS and developing new therapeutic options.

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Journal
Journal of King Saud University - Science
Published
2026-02-13
DOI
https://doi.org/10.25259/jksus_1072_2025
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Integrative multi-omics analysis of plasma pQTL prioritizes CELSR2 as a novel therapeutic target for atherosclerosis

Zhenrui Liu, Jiayi Liu, Bing Zhang, Didi Yuan et al.
Journal of King Saud University - Science
Single-cell and spatial transcriptomics
article

Integrative multi-omics analysis of plasma pQTL prioritizes CELSR2 as a novel therapeutic target for atherosclerosis

Zhenrui Liu, Jiayi Liu, Bing Zhang, Didi Yuan, Haotian Tang, Yanqing Huang, Xunliang Cheng, Ruofan Zhao, Bingxin Qi
article en

Abstract

Atherosclerosis (AS) is a multifactorial disease and a leading cause of cardiovascular diseases, imposing a significant burden on global health. While there is considerable progress in elucidating its pathogenesis, the understanding of AS remains incomplete. Consequently, the identification of novel therapeutic targets is paramount to developing more comprehensive therapeutic interventions. We applied integrative approaches, including Summary-data-based Mendelian randomization (SMR), colocalization, and machine learning to prioritize causal genes. Experimental validation encompassed reverse transcription-real-time polymerase chain reaction (RT-qPCR), immunofluorescence, and single-cell RNA-seq in human plaques, complemented by ox-LDL-induced cellular models. Drug prediction and molecular docking were performed to assess therapeutic potential. A total of 15 relevant positive genes were identified by SMR, and the gene cadherin EGF LAG seven-pass G-type receptor 2( CELSR2 ) was verified as a key gene. Subsequent RT-qPCR and immunofluorescence of human carotid atherosclerotic plaques confirmed that CELSR2 showed different expression in the pathological state of AS. RT-qPCR combined with single-cell sequencing analysis led us to conclude that CELSR2 is a key target in the pathogenesis of AS. CELSR2 is an experimentally validated AS-related gene, which is important for unraveling the pathogenesis of AS and developing new therapeutic options.

Journal of King Saud University - ScienceVol. 38
Central South University (CN), Chinese PLA General Hospital (CN), Chinese General Hospital College of Nursing and Liberal Arts (PH), Zhengzhou Jinshui District General Hospital (CN), The 309th Hospital of Chinese People's Liberation Army (CN), First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 57%
Single-cell and spatial transcriptomics
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