Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy

<b>Background:</b> Atherosclerosis is a progressive and complex vascular pathology characterized by cellular heterogeneity, metabolic dysregulation, and chronic inflammation. Despite extensive research, the intricate molecular mechanisms underlying its development and progression remain...

Full description

Saved in:
Bibliographic Details
Main Authors: Wei Lu, Zhidong Zhang, Gang Qiao, Gangqiang Zou, Guangfeng Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomedicines
Subjects:
Online Access:https://www.mdpi.com/2227-9059/13/4/926
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850156170238492672
author Wei Lu
Zhidong Zhang
Gang Qiao
Gangqiang Zou
Guangfeng Li
author_facet Wei Lu
Zhidong Zhang
Gang Qiao
Gangqiang Zou
Guangfeng Li
author_sort Wei Lu
collection DOAJ
description <b>Background:</b> Atherosclerosis is a progressive and complex vascular pathology characterized by cellular heterogeneity, metabolic dysregulation, and chronic inflammation. Despite extensive research, the intricate molecular mechanisms underlying its development and progression remain incompletely understood. <b>Methods:</b> Single-cell RNA sequencing (scRNA-seq) was employed to conduct a comprehensive mapping of immune cell enrichment and interactions within atherosclerotic plaques, aiming to investigate the cellular and molecular complexities of these structures. This approach facilitated a deeper understanding of the heterogeneities present in smooth muscle cells, which were subsequently analyzed using pseudotime trajectory analysis to monitor the developmental trajectories of smooth muscle cell (SMC) subpopulations. An integrative bioinformatics approach, primarily utilizing Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning techniques, identified Cathepsin C (CTSC), transforming growth factor beta-induced protein (TGFBI), and glia maturation factor-γ (GMFG) as critical biomarkers. A diagnostic risk score model was developed and rigorously tested through Receiver Operating Characteristic analysis. To illustrate the functional impact of CTSC on the regulation of plaque formation and SMC viability, both in vitro and in vivo experimental investigations were conducted. <b>Results:</b> An analysis revealed SMCs identified as the most prominent cellular type, exhibiting the highest density of disulfidptosis. Pseudotime trajectory analysis illuminated the dynamic activation pathways in SMCs, highlighting their significant role in plaque development and instability. Further characterization of macrophage subtypes demonstrated intercellular communication with SMCs, which exhibited specific signaling pathways, particularly between the proximal and core areas of plaques. The integrated diagnostic risk score model, which incorporates CTSC, TGFBI, and GMFG, proved to be highly accurate in distinguishing high-risk patients with elevated immune responses and systemic inflammation. Knockdown experiments of CTSC conducted in vitro revealed enhanced SMC survival rates, reduced oxidative stress, and inhibited apoptosis, while in vivo experiments confirmed a decrease in plaque burden and improvement in lipid profiles. <b>Conclusions:</b> This study emphasizes the significance of disulfidptosis in the development of atherosclerosis and identifies CTSC as a potential therapeutic target for stabilizing plaques by inhibiting SMC apoptosis and oxidative damage. Additionally, the risk score model serves as a valuable diagnostic tool for identifying high-risk patients and guiding precision treatment strategies.
format Article
id doaj-art-c960ccdf63a549e68b358c35a568d711
institution OA Journals
issn 2227-9059
language English
publishDate 2025-04-01
publisher MDPI AG
record_format Article
series Biomedicines
spelling doaj-art-c960ccdf63a549e68b358c35a568d7112025-08-20T02:24:39ZengMDPI AGBiomedicines2227-90592025-04-0113492610.3390/biomedicines13040926Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and TherapyWei Lu0Zhidong Zhang1Gang Qiao2Gangqiang Zou3Guangfeng Li4Heart Center of Henan Provincial People’s Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, ChinaHeart Center of Henan Provincial People’s Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, ChinaHeart Center of Henan Provincial People’s Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, ChinaHeart Center of Henan Provincial People’s Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, ChinaHeart Center of Henan Provincial People’s Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, China<b>Background:</b> Atherosclerosis is a progressive and complex vascular pathology characterized by cellular heterogeneity, metabolic dysregulation, and chronic inflammation. Despite extensive research, the intricate molecular mechanisms underlying its development and progression remain incompletely understood. <b>Methods:</b> Single-cell RNA sequencing (scRNA-seq) was employed to conduct a comprehensive mapping of immune cell enrichment and interactions within atherosclerotic plaques, aiming to investigate the cellular and molecular complexities of these structures. This approach facilitated a deeper understanding of the heterogeneities present in smooth muscle cells, which were subsequently analyzed using pseudotime trajectory analysis to monitor the developmental trajectories of smooth muscle cell (SMC) subpopulations. An integrative bioinformatics approach, primarily utilizing Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning techniques, identified Cathepsin C (CTSC), transforming growth factor beta-induced protein (TGFBI), and glia maturation factor-γ (GMFG) as critical biomarkers. A diagnostic risk score model was developed and rigorously tested through Receiver Operating Characteristic analysis. To illustrate the functional impact of CTSC on the regulation of plaque formation and SMC viability, both in vitro and in vivo experimental investigations were conducted. <b>Results:</b> An analysis revealed SMCs identified as the most prominent cellular type, exhibiting the highest density of disulfidptosis. Pseudotime trajectory analysis illuminated the dynamic activation pathways in SMCs, highlighting their significant role in plaque development and instability. Further characterization of macrophage subtypes demonstrated intercellular communication with SMCs, which exhibited specific signaling pathways, particularly between the proximal and core areas of plaques. The integrated diagnostic risk score model, which incorporates CTSC, TGFBI, and GMFG, proved to be highly accurate in distinguishing high-risk patients with elevated immune responses and systemic inflammation. Knockdown experiments of CTSC conducted in vitro revealed enhanced SMC survival rates, reduced oxidative stress, and inhibited apoptosis, while in vivo experiments confirmed a decrease in plaque burden and improvement in lipid profiles. <b>Conclusions:</b> This study emphasizes the significance of disulfidptosis in the development of atherosclerosis and identifies CTSC as a potential therapeutic target for stabilizing plaques by inhibiting SMC apoptosis and oxidative damage. Additionally, the risk score model serves as a valuable diagnostic tool for identifying high-risk patients and guiding precision treatment strategies.https://www.mdpi.com/2227-9059/13/4/926atherosclerosisimmune regulationdisulfidptosissmooth muscle cellsinflammationbiomarkers
spellingShingle Wei Lu
Zhidong Zhang
Gang Qiao
Gangqiang Zou
Guangfeng Li
Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy
Biomedicines
atherosclerosis
immune regulation
disulfidptosis
smooth muscle cells
inflammation
biomarkers
title Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy
title_full Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy
title_fullStr Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy
title_full_unstemmed Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy
title_short Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy
title_sort immune regulation and disulfidptosis in atherosclerosis influence disease progression and therapy
topic atherosclerosis
immune regulation
disulfidptosis
smooth muscle cells
inflammation
biomarkers
url https://www.mdpi.com/2227-9059/13/4/926
work_keys_str_mv AT weilu immuneregulationanddisulfidptosisinatherosclerosisinfluencediseaseprogressionandtherapy
AT zhidongzhang immuneregulationanddisulfidptosisinatherosclerosisinfluencediseaseprogressionandtherapy
AT gangqiao immuneregulationanddisulfidptosisinatherosclerosisinfluencediseaseprogressionandtherapy
AT gangqiangzou immuneregulationanddisulfidptosisinatherosclerosisinfluencediseaseprogressionandtherapy
AT guangfengli immuneregulationanddisulfidptosisinatherosclerosisinfluencediseaseprogressionandtherapy