{"title":"与重症肌无力诊断和免疫相关的线粒体自噬相关基因特征。","authors":"Shan Jin, Junbin Yin, Wei Li, Ni Mao","doi":"10.1080/08916934.2025.2465410","DOIUrl":null,"url":null,"abstract":"<p><p>Myasthenia gravis (MG) is a common autoimmune disorder that causes skeletal muscle weakness. Most patients presented with skeletal muscle weakness and endurance decline. Mitophagy refers to removing and interpreting aging or damaged mitochondria in cells. This plays a vital role in maintaining cell homeostasis and normal function. This study explores the role of mitophagy-related genes (GM) in MG. Specifically, we collected the transcriptome data of MG and its control group from the GEO database (Gene Expression Omnibus database). The differentially expressed genes (DEGs) were identified by differential analysis and intersected with GM. Multiple machine learning algorithms were applied to screen and verify the diagnostic genes of intersection genes. In addition, we constructed diagnostic models and nomogram models based on diagnostic genes. The immune landscape of MG was explored by ssGSEA analysis. The correlation between the abundance of immune cell infiltration and diagnostic genes was explored by immune infiltration analysis. Finally, the diagnostic genes were further validated by qPCR experiments.</p>","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":"58 1","pages":"2465410"},"PeriodicalIF":3.3000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mitochondrial autophagy-related gene signatures associated with myasthenia gravis diagnosis and immunity.\",\"authors\":\"Shan Jin, Junbin Yin, Wei Li, Ni Mao\",\"doi\":\"10.1080/08916934.2025.2465410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Myasthenia gravis (MG) is a common autoimmune disorder that causes skeletal muscle weakness. Most patients presented with skeletal muscle weakness and endurance decline. Mitophagy refers to removing and interpreting aging or damaged mitochondria in cells. This plays a vital role in maintaining cell homeostasis and normal function. This study explores the role of mitophagy-related genes (GM) in MG. Specifically, we collected the transcriptome data of MG and its control group from the GEO database (Gene Expression Omnibus database). The differentially expressed genes (DEGs) were identified by differential analysis and intersected with GM. Multiple machine learning algorithms were applied to screen and verify the diagnostic genes of intersection genes. In addition, we constructed diagnostic models and nomogram models based on diagnostic genes. The immune landscape of MG was explored by ssGSEA analysis. The correlation between the abundance of immune cell infiltration and diagnostic genes was explored by immune infiltration analysis. Finally, the diagnostic genes were further validated by qPCR experiments.</p>\",\"PeriodicalId\":8688,\"journal\":{\"name\":\"Autoimmunity\",\"volume\":\"58 1\",\"pages\":\"2465410\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Autoimmunity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/08916934.2025.2465410\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Autoimmunity","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/08916934.2025.2465410","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/12 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
重症肌无力(MG)是一种常见的自身免疫性疾病,导致骨骼肌无力。大多数患者表现为骨骼肌无力和耐力下降。线粒体自噬是指清除和解释细胞中老化或受损的线粒体。这在维持细胞稳态和正常功能中起着至关重要的作用。本研究探讨了线粒体自噬相关基因(GM)在MG中的作用。具体来说,我们从GEO数据库(Gene Expression Omnibus database)中收集了MG及其对照组的转录组数据。通过差异分析鉴定差异表达基因(differential expression genes, deg),并与GM相交,采用多种机器学习算法筛选和验证交叉基因的诊断基因。此外,我们还构建了基于诊断基因的诊断模型和nomogram模型。通过ssGSEA分析探讨MG的免疫景观。通过免疫浸润分析,探讨免疫细胞浸润丰度与诊断基因的相关性。最后通过qPCR实验进一步验证诊断基因。
Mitochondrial autophagy-related gene signatures associated with myasthenia gravis diagnosis and immunity.
Myasthenia gravis (MG) is a common autoimmune disorder that causes skeletal muscle weakness. Most patients presented with skeletal muscle weakness and endurance decline. Mitophagy refers to removing and interpreting aging or damaged mitochondria in cells. This plays a vital role in maintaining cell homeostasis and normal function. This study explores the role of mitophagy-related genes (GM) in MG. Specifically, we collected the transcriptome data of MG and its control group from the GEO database (Gene Expression Omnibus database). The differentially expressed genes (DEGs) were identified by differential analysis and intersected with GM. Multiple machine learning algorithms were applied to screen and verify the diagnostic genes of intersection genes. In addition, we constructed diagnostic models and nomogram models based on diagnostic genes. The immune landscape of MG was explored by ssGSEA analysis. The correlation between the abundance of immune cell infiltration and diagnostic genes was explored by immune infiltration analysis. Finally, the diagnostic genes were further validated by qPCR experiments.
期刊介绍:
Autoimmunity is an international, peer reviewed journal that publishes articles on cell and molecular immunology, immunogenetics, molecular biology and autoimmunity. Current understanding of immunity and autoimmunity is being furthered by the progress in new molecular sciences that has recently been little short of spectacular. In addition to the basic elements and mechanisms of the immune system, Autoimmunity is interested in the cellular and molecular processes associated with systemic lupus erythematosus, rheumatoid arthritis, Sjogren syndrome, type I diabetes, multiple sclerosis and other systemic and organ-specific autoimmune disorders. The journal reflects the immunology areas where scientific progress is most rapid. It is a valuable tool to basic and translational researchers in cell biology, genetics and molecular biology of immunity and autoimmunity.