Zheng Daisi, Li Xiaolong, Wang Peicheng, Zhu Qingmiao, Huang Zhiyan, Zhao Ting
The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Front Immunol. 2025 Jan 7;15:1440922. doi: 10.3389/fimmu.2024.1440922. eCollection 2024.
SLE and ME/CFS both present significant fatigue and share immune dysregulation. The mechanisms underlying fatigue in these disorders remain unclear, and there are no standardized treatments. This study aims to explore shared mechanisms and predict potential therapeutic drugs for fatigue in SLE and ME/CFS.
Genes associated with SLE and ME/CFS were collected from disease target and clinical sample databases to identify overlapping genes. Bioinformatics analyses, including GO, KEGG, PPI network construction, and key target identification, were performed. ROC curve and correlation analysis of key targets, along with single-cell clustering, were conducted to validate their expression in different cell types. Additionally, an inflammation model was established using THP-1 cells to simulate monocyte activation in both diseases , and RT-qPCR was used to validate the expression of the key targets. A TF-mRNA-miRNA co-regulatory network was constructed, followed by drug prediction and molecular docking.
Fifty-eight overlapping genes were identified, mainly involved in innate immunity and inflammation. Five key targets were identified (IL1β, CCL2, TLR2, STAT1, IFIH1). Single-cell sequencing revealed that monocytes are enriched with these targets. RT-qPCR confirmed significant upregulation of these targets in the model group. A co-regulatory network was constructed, and ten potential drugs, including suloctidil, N-Acetyl-L-cysteine, simvastatin, ACMC-20mvek, and camptothecin, were predicted. Simvastatin and camptothecin showed high affinity for the key targets.
SLE and ME/CFS share immune and inflammatory pathways. The identified key targets are predominantly enriched in monocytes at the single-cell level, suggesting that classical monocytes may be crucial in linking inflammation and fatigue. RT-qPCR confirmed upregulation in activated monocytes. The TF-mRNA-miRNA network provides a foundation for future research, and drug prediction suggests N-Acetyl-L-cysteine and camptothecin as potential therapies.
系统性红斑狼疮(SLE)和肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)均表现出显著疲劳,且存在免疫失调。这些疾病中疲劳的潜在机制尚不清楚,也没有标准化治疗方法。本研究旨在探索SLE和ME/CFS中疲劳的共同机制,并预测潜在治疗药物。
从疾病靶点和临床样本数据库收集与SLE和ME/CFS相关的基因,以识别重叠基因。进行了生物信息学分析,包括基因本体论(GO)、京都基因与基因组百科全书(KEGG)、蛋白质-蛋白质相互作用(PPI)网络构建及关键靶点识别。进行关键靶点的ROC曲线和相关性分析以及单细胞聚类,以验证其在不同细胞类型中的表达。此外,利用THP-1细胞建立炎症模型以模拟两种疾病中的单核细胞活化,并采用逆转录-定量聚合酶链反应(RT-qPCR)验证关键靶点的表达。构建转录因子-信使核糖核酸-微小核糖核酸(TF-mRNA-miRNA)共调控网络,随后进行药物预测和分子对接。
识别出58个重叠基因,主要涉及固有免疫和炎症。确定了5个关键靶点(白细胞介素1β(IL1β)、趋化因子配体2(CCL2)、Toll样受体2(TLR2)信号转导和转录激活因子1(STAT1)、干扰素诱导解旋酶C结构域蛋白1(IFIH1))。单细胞测序显示单核细胞富含这些靶点。RT-qPCR证实模型组中这些靶点显著上调。构建了共调控网络,并预测了10种潜在药物,包括舒洛地尔、N-乙酰-L-半胱氨酸、辛伐他汀、ACMC-20mvek和喜树碱。辛伐他汀和喜树碱对关键靶点显示出高亲和力。
SLE和ME/CFS共享免疫和炎症途径。所识别的关键靶点在单细胞水平主要富集于单核细胞,表明经典单核细胞可能在连接炎症和疲劳方面起关键作用。RT-qPCR证实在活化单核细胞中表达上调。TF-mRNA-miRNA网络为未来研究提供了基础,药物预测表明N-乙酰-L-半胱氨酸和喜树碱为潜在治疗药物。