文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期，新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

干燥综合征和包涵体肌炎之间潜在的共同分子机制：生物信息学分析和验证。

Potential common molecular mechanisms between Sjögren syndrome and inclusion body myositis: a bioinformatic analysis and validation.

机构信息

Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, Chengdu, China.

出版信息

Front Immunol. 2023 Apr 21;14:1161476. doi: 10.3389/fimmu.2023.1161476. eCollection 2023.

DOI:10.3389/fimmu.2023.1161476
PMID:37153570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10160489/
Abstract

BACKGROUND: Inclusion body myositis (IBM) is a slowly progressive inflammatory myopathy that typically affects the quadriceps and finger flexors. Sjögren's syndrome (SS), an autoimmune disorder characterized by lymphocytic infiltration of exocrine glands has been reported to share common genetic and autoimmune pathways with IBM. However, the exact mechanism underlying their commonality remains unclear. In this study, we investigated the common pathological mechanisms involved in both SS and IBM using a bioinformatic approach. METHODS: IBM and SS gene expression profiles were obtained from the Gene Expression Omnibus (GEO). SS and IBM coexpression modules were identified using weighted gene coexpression network analysis (WGCNA), and differentially expressed gene (DEG) analysis was applied to identify their shared DEGs. The hidden biological pathways were revealed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Furthermore, protein-protein interaction (PPI) networks, cluster analyses, and hub shared gene identification were conducted. The expression of hub genes was validated by reverse transcription quantitative polymerase chain reaction (RT-qPCR). We then analyzed immune cell abundance patterns in SS and IBM using single-sample gene set enrichment analysis (ssGSEA) and investigated their association with hub genes. Finally, NetworkAnalyst was used to construct a common transcription factor (TF)-gene network. RESULTS: Using WGCNA, we found that 172 intersecting genes were closely related to viral infection and antigen processing/presentation. Based on DEG analysis, 29 shared genes were found to be upregulated and enriched in similar biological pathways. By intersecting the top 20 potential hub genes from the WGCNA and DEG sets, three shared hub genes (, , and ) were derived and validated to be active transcripts, which all exhibited diagnostic values for SS and IBM. Furthermore, ssGSEA showed similar infiltration profiles in IBM and SS, and the hub genes were positively correlated with the abundance of immune cells. Ultimately, two TFs (HDGF and WRNIP1) were identified as possible key TFs. CONCLUSION: Our study identified that IBM shares common immunologic and transcriptional pathways with SS, such as viral infection and antigen processing/presentation. Furthermore, both IBM and SS have almost identical immune infiltration microenvironments, indicating similar immune responses may contribute to their association.

摘要

背景：包涵体肌炎（IBM）是一种进展缓慢的炎症性肌病，通常影响股四头肌和手指屈肌。干燥综合征（SS）是一种自身免疫性疾病，其特征是外分泌腺的淋巴细胞浸润，已被报道与 IBM 具有共同的遗传和自身免疫途径。然而，其共同性的确切机制仍不清楚。在这项研究中，我们使用生物信息学方法研究了 SS 和 IBM 共同涉及的共同病理机制。

方法：从基因表达综合数据库（GEO）中获得 IBM 和 SS 的基因表达谱。使用加权基因共表达网络分析（WGCNA）鉴定 SS 和 IBM 的共表达模块，并应用差异表达基因（DEG）分析鉴定其共同的 DEG。使用基因本体论（GO）和京都基因与基因组百科全书（KEGG）分析揭示隐藏的生物学途径。此外，进行了蛋白质-蛋白质相互作用（PPI）网络、聚类分析和枢纽共享基因鉴定。通过逆转录定量聚合酶链反应（RT-qPCR）验证枢纽基因的表达。然后，我们使用单样本基因集富集分析（ssGSEA）分析 SS 和 IBM 中的免疫细胞丰度模式，并研究它们与枢纽基因的关联。最后，使用 NetworkAnalyst 构建共同转录因子（TF）-基因网络。

结果：使用 WGCNA，我们发现 172 个相交基因与病毒感染和抗原加工/呈递密切相关。基于 DEG 分析，发现 29 个共同基因上调，并在相似的生物学途径中富集。通过相交 WGCNA 和 DEG 集合中的前 20 个潜在枢纽基因，得出并验证了三个共同的枢纽基因（、和）是活跃的转录物，它们都对 SS 和 IBM 具有诊断价值。此外，ssGSEA 显示 IBM 和 SS 中具有相似的浸润模式，枢纽基因与免疫细胞的丰度呈正相关。最终，确定了两个转录因子（HDGF 和 WRNIP1）作为可能的关键转录因子。

结论：我们的研究表明，IBM 与 SS 具有共同的免疫和转录途径，如病毒感染和抗原加工/呈递。此外，IBM 和 SS 具有几乎相同的免疫浸润微环境，表明类似的免疫反应可能导致它们之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/26272ac513d7/fimmu-14-1161476-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/6cf6ea8e87cf/fimmu-14-1161476-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/4f07a81e6b63/fimmu-14-1161476-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/9611fd3122b8/fimmu-14-1161476-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/a247c54ef2cb/fimmu-14-1161476-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/9b3f9a1d31fe/fimmu-14-1161476-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/eef69f5572b2/fimmu-14-1161476-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/483844ef5d64/fimmu-14-1161476-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/26272ac513d7/fimmu-14-1161476-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/6cf6ea8e87cf/fimmu-14-1161476-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/4f07a81e6b63/fimmu-14-1161476-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/9611fd3122b8/fimmu-14-1161476-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/a247c54ef2cb/fimmu-14-1161476-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/9b3f9a1d31fe/fimmu-14-1161476-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/eef69f5572b2/fimmu-14-1161476-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/483844ef5d64/fimmu-14-1161476-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f439/10160489/26272ac513d7/fimmu-14-1161476-g008.jpg

相似文献

[1]
Potential common molecular mechanisms between Sjögren syndrome and inclusion body myositis: a bioinformatic analysis and validation.

Front Immunol. 2023

[2]
Exploration of the pathogenesis of Sjögren's syndrome via DNA methylation and transcriptome analyses.

Clin Rheumatol. 2022-9

[3]
The molecular mechanism underlying dermatomyositis related interstitial lung disease: evidence from bioinformatic analysis and validation.

Front Immunol. 2023

[4]
Exploration of the shared diagnostic genes and mechanisms between periodontitis and primary Sjögren's syndrome by integrated comprehensive bioinformatics analysis and machine learning.

Int Immunopharmacol. 2024-11-15

[5]
Exploring the crosstalk molecular mechanisms between IgA nephropathy and Sjögren's syndrome based on comprehensive bioinformatics and immunohistochemical analyses.

Clin Exp Med. 2024-8-13

[6]
Bioinformatics analysis of gene expression profiles of Inclusion body myositis.

Scand J Immunol. 2020-5-10

[7]
Transcriptomics explores potential mechanisms for the development of Primary Sjogren's syndrome to diffuse large B-cell lymphoma in B cells.

BMC Immunol. 2024-7-30

[8]
Exploring the shared molecular mechanisms between systemic lupus erythematosus and primary Sjögren's syndrome based on integrated bioinformatics and single-cell RNA-seq analysis.

Front Immunol. 2023

[9]
Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.

Heliyon. 2023-1-10

[10]
Identification of Hub Genes and Biological Pathways in Inclusion Body Myositis Using Bioinformatics Analysis.

Int J Gen Med. 2022-2-9

引用本文的文献

[1]
Single-cell RNA-seq uncovers lineage-specific regulatory alterations of fibroblasts and endothelial cells in ligamentum flavum hypertrophy.

Front Immunol. 2025-5-15

[2]
Potential common mechanisms between primary Sjögren's syndrome and Hashimoto's thyroiditis: a public databases-based study.

Front Genet. 2025-4-29

[3]
Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.

Sci Rep. 2025-3-27

[4]
Inclusion body myositis, viral infections, and TDP-43: a narrative review.

Clin Exp Med. 2024-5-2

[5]
The molecular mechanism underlying dermatomyositis related interstitial lung disease: evidence from bioinformatic analysis and validation.

Front Immunol. 2023

本文引用的文献

[1]
Macroglossia in rapidly progressive inclusion body myositis.

Neuropathology. 2023-6

[2]
Identification of PSMB9 and CXCL13 as Immune-related Diagnostic Markers for Rheumatoid Arthritis by Machine Learning.

Curr Pharm Des. 2022

[3]
Inclusion body myositis and associated diseases: an argument for shared immune pathologies.

Acta Neuropathol Commun. 2022-6-3

[4]
Ankylosing spondylitis: an autoimmune or autoinflammatory disease?

Nat Rev Rheumatol. 2021-7

[5]
Single-Cell RNA Sequencing Reveals the Expansion of Cytotoxic CD4 T Lymphocytes and a Landscape of Immune Cells in Primary Sjögren's Syndrome.

Front Immunol. 2020

[6]
Epstein-Barr Virus and Systemic Autoimmune Diseases.

Front Immunol. 2020

[7]
Refining myositis associated with primary Sjögren's syndrome: data from the prospective cohort ASSESS.

Rheumatology (Oxford). 2021-2-1

[8]
Bioinformatics analysis of gene expression profiles of Inclusion body myositis.

Scand J Immunol. 2020-5-10

[9]
Inclusion-body myositis and primary Sjögren syndrome: mechanisms for shared etiologies.

Muscle Nerve. 2020-2-15

[10]
Contribution of the Unfolded Protein Response (UPR) to the Pathogenesis of Proteasome-Associated Autoinflammatory Syndromes (PRAAS).

Front Immunol. 2019-11-26

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索