6个自噬相关基因作为甲状腺相关性眼病诊断标志物的特征及其与免疫浸润的相关性

IF 3.1 4区 医学 Q3 IMMUNOLOGY
Qintao Ma, Yuanping Hai, Jie Shen
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引用次数: 0

摘要

背景:甲状腺相关性眼病(TAO)是内分泌学领域最复杂的自身免疫性疾病之一。自噬相关基因可能参与了TAO的病理生理过程。本研究旨在揭示TAO发病机制中与自噬相关的关键基因及潜在的诊断标志物。方法:我们获得自噬相关差异基因(AR-DEGs)及其在TAO患者和对照组中的表达。利用基因本体分析(GO)和京都基因与基因组百科全书(KEGG)分析对AR-DEGs进行富集分析。采用LASSO回归、支持向量机递归特征消除和随机森林筛选疾病特征基因(dsg),并在另一个独立的验证数据集中进一步验证。我们用受者工作特征来评价dsg的诊断效果,并建立了nomogram。采用CIBERSORT算法计算免疫浸润的相对比例,并探讨鉴定出的基因标记与浸润免疫细胞水平的关系。结果:我们鉴定出24个AR-DEGs,在GO分析中主要富集于细胞分解代谢调节、自噬体膜和泛素蛋白连接酶结合,而KEGG分析则强调自噬是主要富集途径。通过三种算法识别出6个dsg。它们在另一个独立的验证数据集中进行验证。6基因联合模型也有较好的诊断效果(AUC = 0.948)。我们进一步绘制了诊断效果较好的nomogram。免疫-浸润分析及相关分析表明,6种dsg与浸润免疫细胞显著相关。结论:我们确定了AR-DEGs富集的几种生物学过程和途径。我们发现了6个dsg,它们很有可能成为TAO诊断的关键分子,并且这些dsg与浸润的免疫细胞有相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Signatures of Six Autophagy-Related Genes as Diagnostic Markers of Thyroid-Associated Ophthalmopathy and Their Correlation With Immune Infiltration

Signatures of Six Autophagy-Related Genes as Diagnostic Markers of Thyroid-Associated Ophthalmopathy and Their Correlation With Immune Infiltration

Background

Thyroid-associated ophthalmopathy (TAO) is one of the most complex autoimmune diseases in endocrinology areas. Autophagy-related genes may be involved in the pathophysiology of TAO. This study aims to reveal key genes associated with autophagy in the pathogenesis and the potential diagnostic markers for TAO.

Methods

We obtained autophagy-related differential genes (AR-DEGs) and their expression in TAO patients and controls. Gene ontology analysis (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to perform the enrichment analysis of AR-DEGs. LASSO regression, support vector machine recursive feature elimination, and random forest were performed to screen for disease signature genes (DSGs), which were further validated in another independent validation dataset. We used the receiver operating characteristic for the evaluation of the diagnostic efficacy of DSGs and also established a nomogram. The relative proportion of immune infiltration was calculated using the CIBERSORT algorithm, and the relationship between the identified gene markers and the level of infiltrating immune cells was explored.

Results

We identified 24 AR-DEGs, which were primarily enriched in cellular catabolic regulation, autophagosome membrane, and ubiquitin protein ligase binding in GO analysis, while KEGG analysis highlighted autophagy as the main enriched pathway. Six DSGs were identified by three algorithms. They were validated in another independent validation dataset. The combined six-gene model also showed good diagnostic efficacy (AUC = 0.948). We further plotted the nomogram with better diagnostic efficacy. Immuno-infiltration analysis and correlation analysis demonstrated that six DSGs were significantly correlated with the infiltrating immune cells.

Conclusions

We identified several biological processes and pathways for the enrichment of AR-DEGs. Six DSGs were identified, which showed great potential to become critical molecules in the diagnosis of TAO, and these DSGs showed a correlation with infiltrating immune cells.

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来源期刊
Immunity, Inflammation and Disease
Immunity, Inflammation and Disease Medicine-Immunology and Allergy
CiteScore
3.60
自引率
0.00%
发文量
146
审稿时长
8 weeks
期刊介绍: Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology
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