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基于微阵列和单细胞测序分析探索动脉粥样硬化与桥本甲状腺炎之间的共病机制。

Exploring the comorbidity mechanisms between atherosclerosis and hashimoto's thyroiditis based on microarray and single-cell sequencing analysis.

作者信息

Ma Yirong, Wu Shuguang, Lai Junyu, Wan Qiang, Hu Jingxuan, Liu Yanhong, Zhou Ziyi, Wu Jianguang

机构信息

Department of Postgraduate, Jiangxi University of Chinese Medicine, Nanchang, China.

Neurology Department, Jiangxi Province Hospital of Integrated Chinese & Western Medicine, Nanchang, China.

出版信息

Sci Rep. 2025 Jan 13;15(1):1792. doi: 10.1038/s41598-025-85112-0.

DOI:10.1038/s41598-025-85112-0
PMID:39805933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11730997/
Abstract

Atherosclerosis (AS) is a chronic vascular disease characterized by inflammation of the arterial wall and the formation of cholesterol plaques. Hashimoto's thyroiditis (HT) is an autoimmune disorder marked by chronic inflammation and destruction of thyroid tissue. Although previous studies have identified common risk factors between AS and HT, the specific etiology and pathogenic mechanisms underlying these associations remain unclear. We obtained relevant datasets for AS and HT from the Gene Expression Omnibus (GEO). By employing the Limma package, we pinpointed common differentially expressed genes (DEGs) and discerned co-expression modules linked to AS and HT via Weighted Gene Co-expression Network Analysis (WGCNA). We elucidated gene functions and regulatory networks across various biological scenarios through enrichment and pathway analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Core genes were identified using Cytoscape software and further validated with external datasets. We also conducted immune infiltration analysis on these core genes utilizing the CIBERSORT method. Lastly, Single-cell analysis was instrumental in uncovering common diagnostic markers. Based on differential analysis and WGCNA, we identified 119 candidate genes within the cohorts for AS and HT. KEGG and GO enrichment analyses indicate that these genes are significantly involved in antigen processing and presentation, along with various immune-inflammatory pathways. Two pivotal genes, PTPRC and TYROBP, were identified using five algorithms from the cytoHubba plugin. Validation through external datasets confirmed their substantial diagnostic value for AS and HT. Moreover, the results of Gene Set Enrichment Analysis (GSEA) indicated that these core genes are significantly enriched in various receptor interactions and signaling pathways. Immune infiltration analysis revealed a strong association of lymphocytes and macrophages with the pathogenesis of AS and HT. Single-cell analysis demonstrated predominant expression of the core genes in macrophages, monocytes, T cells and Common Myeloid Progenitor (CMP). This study proposes that an aberrant immune response might represent a shared pathogenic mechanism in AS and HT. The genes PTPRC and TYROBP are identified as critical potential biomarkers and therapeutic targets for these comorbid conditions. Furthermore, the core genes and their interactions with immune cells could serve as promising targets for future diagnostic and therapeutic strategies.

摘要

动脉粥样硬化(AS)是一种慢性血管疾病,其特征为动脉壁炎症和胆固醇斑块形成。桥本甲状腺炎(HT)是一种自身免疫性疾病,以甲状腺组织的慢性炎症和破坏为特征。尽管先前的研究已经确定了AS和HT之间的共同危险因素,但这些关联背后的具体病因和致病机制仍不清楚。我们从基因表达综合数据库(GEO)中获取了AS和HT的相关数据集。通过使用Limma软件包,我们确定了共同的差异表达基因(DEG),并通过加权基因共表达网络分析(WGCNA)识别了与AS和HT相关的共表达模块。我们通过使用基因本体论(GO)和京都基因与基因组百科全书(KEGG)进行富集和通路分析,阐明了各种生物学场景下的基因功能和调控网络。使用Cytoscape软件识别核心基因,并通过外部数据集进行进一步验证。我们还利用CIBERSORT方法对这些核心基因进行了免疫浸润分析。最后,单细胞分析有助于发现共同的诊断标志物。基于差异分析和WGCNA,我们在AS和HT队列中确定了119个候选基因。KEGG和GO富集分析表明,这些基因显著参与抗原加工和呈递以及各种免疫炎症通路。使用cytoHubba插件中的五种算法确定了两个关键基因PTPRC和TYROBP。通过外部数据集验证证实了它们对AS和HT具有重要的诊断价值。此外,基因集富集分析(GSEA)结果表明,这些核心基因在各种受体相互作用和信号通路中显著富集。免疫浸润分析显示淋巴细胞和巨噬细胞与AS和HT的发病机制密切相关。单细胞分析表明核心基因在巨噬细胞、单核细胞、T细胞和常见髓系祖细胞(CMP)中占主导表达。本研究提出异常免疫反应可能是AS和HT共同的致病机制。基因PTPRC和TYROBP被确定为这些合并症的关键潜在生物标志物和治疗靶点。此外,核心基因及其与免疫细胞的相互作用可能成为未来诊断和治疗策略的有希望的靶点。

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