Department of Dermatology, Hospital for Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China.
Department of Dermatology, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and Sexually Transmitted Infections, Nanjing, Jiangsu, China.
Front Immunol. 2023 May 23;14:1164124. doi: 10.3389/fimmu.2023.1164124. eCollection 2023.
Vitiligo is an acquired, autoimmune, depigmented skin disease with unclear pathogenesis. Mitochondrial dysfunction contributes significantly to vitiligo, and mitophagy is vital for removing damaged mitochondria. Herein, using bioinformatic analysis, we sought to determine the possible role of mitophagy-associated genes in vitiligo and immune infiltration.
Microarrays GSE53146 and GSE75819 were used to identify differentially expressed genes (DEGs) in vitiligo. By crossing vitiligo DEGs with mitophagy-related genes, the mitophagy-related DEGs were identified. Functional enrichment and protein-protein intersection (PPI) analyses were conducted. Then, the hub genes were identified using two machine algorithms, and receiver operating characteristic (ROC) curves were generated. Next, the immune infiltration and its connection with hub genes in vitiligo were investigated. Finally, the Regnetwork database and NetworkAnalyst were used to predict the upstream transcriptional factors (TFs), microRNAs (miRNAs), and the protein-compound network.
A total of 24 mitophagy-related genes were screened. Then, five mitophagy hub genes (, , , , and ) were identified using two machine learning algorithms, and these genes showed high diagnostic specificity for vitiligo. The PPI network showed that hub genes interacted with each other. The mRNA expression levels of five hub genes were validated in vitiligo lesions by qRT-PCR and were compatible with the bioinformatic results. Compared with controls, the abundance of activated CD4 T cells, CD8 T cells, immature dendritic cells and B cells, myeloid-derived suppressor cells (MDSCs), gamma delta T cells, mast cells, regulatory T cells (Tregs), and T helper 2 (Th2) cells was higher. However, the abundance of CD56 bright natural killer (NK) cells, monocytes, and NK cells was lower. Correlation analysis revealed a link between hub genes and immune infiltration. Meanwhile, we predicted the upstream TFs and miRNAs and the target compounds of hub genes.
Five hub mitophagy-related genes were identified and correlated with immune infiltration in vitiligo. These findings suggested that mitophagy may promote the development of vitiligo by activating immune infiltration. Our study might enhance our comprehension of the pathogenic mechanism of vitiligo and offer a treatment option for vitiligo.
白癜风是一种获得性、自身免疫性、色素脱失性皮肤病,其发病机制尚不清楚。线粒体功能障碍在白癜风中起重要作用,而自噬对于清除受损的线粒体至关重要。在此,我们通过生物信息学分析,旨在确定自噬相关基因在白癜风中的可能作用及其与免疫浸润的关系。
使用微阵列 GSE53146 和 GSE75819 鉴定白癜风中的差异表达基因(DEGs)。通过将白癜风 DEGs 与自噬相关基因交叉,鉴定出自噬相关 DEGs。进行功能富集和蛋白质-蛋白质相互作用(PPI)分析。然后,使用两种机器学习算法识别关键基因,并生成受试者工作特征(ROC)曲线。接着,研究白癜风中的免疫浸润及其与关键基因的关系。最后,使用 Regnetwork 数据库和 NetworkAnalyst 预测上游转录因子(TFs)、microRNAs(miRNAs)和蛋白-化合物网络。
筛选出 24 个自噬相关基因。然后,使用两种机器学习算法识别出 5 个自噬关键基因(、、、、和),这些基因对白癜风具有较高的诊断特异性。PPI 网络显示关键基因相互作用。通过 qRT-PCR 验证了 5 个关键基因在白癜风病变中的 mRNA 表达水平,与生物信息学结果一致。与对照组相比,激活的 CD4 T 细胞、CD8 T 细胞、未成熟树突状细胞和 B 细胞、髓系来源的抑制细胞(MDSCs)、γδ T 细胞、肥大细胞、调节性 T 细胞(Tregs)和辅助性 T 细胞 2(Th2)细胞的丰度较高。然而,CD56 阳性自然杀伤(NK)细胞、单核细胞和 NK 细胞的丰度较低。相关性分析显示关键基因与免疫浸润之间存在关联。同时,我们预测了关键基因的上游 TFs 和 miRNAs 以及靶化合物。
鉴定出 5 个与白癜风免疫浸润相关的关键自噬相关基因。这些发现表明,自噬可能通过激活免疫浸润促进白癜风的发展。我们的研究可能提高我们对白癜风发病机制的理解,并为白癜风的治疗提供一种选择。