SULF1’s Role in Endothelial Senescence and Atherosclerosis: Insights from Single-Cell and Bulk Transcriptomics
Year: 2025
Type: article
Abstract: Background: Endothelial cells (ECs) senescence has emerged as a critical factor in the pathogenesis of atherosclerosis, contributing to vascular aging and plaque formation. However, the molecular mechanisms underlying endothelial senescence in atherosclerosis remain poorly understood. Methods: Single-cell RNA sequencing (scRNA-seq) data from atherosclerotic core plaques and adjacent normal tissues were analyzed using the Seurat package to identify cell subpopulations and senescence markers. RNA-seq data from early and late atherosclerotic plaques were used for differential gene expression analysis. Subsequently, the candidate gene was identified and validated in the atherosclerotic plaques of ApoE−/− mice and ox-LDL-treated human aortic ECs (HAECs) through siRNA knockdown, Western blot, RT-qPCR, and β-galactosidase staining in vitro. Results: Single-cell analysis revealed elevated levels of senescence markers in ECs within atherosclerotic plaques. Combined with bulk RNA-seq analysis, SULF1 was identified as a key gene associated with EC senescence. Increased Sulf1 expression was uncovered in the ECs of atherosclerotic plaques in high-fat-fed ApoE−/− mice. In vitro, SULF1 expression was found significantly upregulated in senescent HAECs. Knockdown of SULF1 reversed ox-LDL-induced senescence in HAECs, as shown by reduced expression of senescence markers and improved cell migration in wound healing assays. Conclusion: This study highlights the critical role of endothelial senescence in atherosclerosis and identifies SULF1 as a key contributor to endothelial senescence and atherogenesis. Targeting SULF1 may be a potential therapeutic strategy for mitigating EC senescence and atherosclerosis. Keywords: atherosclerosis, endothelial senescence, single-cell RNA sequencing, RNA sequencing, SULF1
Source: Journal of Inflammation Research
DOI: 10.2147/jir.s544852
Authors: Meng-Ting Jiang, Shi-Lei Wan, Xiang-Yu Shen, Zhong-Bai Zhang, Zhi-Qing He, Yang-Xi Hu, Chun Liang
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
OpenAlex ID: W4417329323
