■本研究旨在探讨1型糖尿病(T1D)中免疫细胞的异常浸润及其调控机制。
■从基因表达综合数据库获得公开的T1D相关基因表达数据。GSE123658数据集分析了来自1型糖尿病患者和健康志愿者的全血RNA-seq数据。GSE110914数据集分析了有症状和症状前1型糖尿病(T1D)患者外周血中纯化的中性粒细胞,有T1D的风险,和健康的控制。进行免疫细胞浸润分析以鉴定异常浸润的免疫细胞。鉴定了T1D样品中差异表达的免疫基因(DEIG),然后使用蛋白质-蛋白质相互作用(PPI)网络和最小绝对收缩和选择算子Cox回归分析(LASSOCox回归分析)构建免疫基因标签(IGS)。使用基因集富集分析探索了IGS的调控机制。此外,表达式验证,诊断效能评估,并对hub特征基因进行上游miRNA预测。我们通过逆转录-定量PCR(RT-qPCR)验证了关键基因集落刺激因子1(CSF1)和microRNA-326(miR-326)的miRNA表达。
■浸润T细胞和自然杀伤(NK)细胞的比例在T1D和对照样品之间有所不同,并提取与这些免疫细胞相关的207个免疫基因(IGs)。差异表达后,PPI,和LASSOCox回归分析,确定了用于IGS构建的四个特征DEIG:notch受体1(NOTCH1),Janus激酶3(JAK3),肿瘤坏死因子受体超家族成员4(TNFRSF4),CSF1Toll样受体信号通路等关键通路在高危人群中被显著激活。此外,使用验证数据集确认了T1D样品中CSF1的上调,CSF1对T1D具有较高的诊断效能。此外,CSF1被miR-326靶向。我们在T1D患者中使用了经过验证的关键基因,其中一些得到了RT-qPCR的证实。
■总而言之,确定的关键IG可能在T1D中起重要作用。CSF1可以被开发为T1D的新型诊断生物标志物。
UNASSIGNED: This study aimed to investigate the abnormal infiltration of immune cells in type 1 diabetes mellitus (T1D) and elucidate their regulatory mechanisms.
UNASSIGNED: Public T1D-related gene expression data were obtained from the Gene Expression Omnibus database.The GSE123658 dataset analyzed whole blood RNA-seq data from type 1 diabetic patients and healthy volunteers. The GSE110914 dataset analyzed neutrophils purified from peripheral blood of patients with symptomatic and pre-symptomatic type 1 diabetes (T1D), at risk of T1D, and healthy controls. Immune cell infiltration analysis was performed to identify abnormally infiltrating immune cells. Differentially expressed immune genes (DEIGs) in T1D samples were identified, followed by the construction of an immune gene signature (IGS) using a protein-protein interaction (PPI) network and Least absolute shrinkage and selection operator Cox regression analyses (LASSO Cox regression analyses). The regulatory mechanisms underlying IGS were explored using gene set enrichment analysis. Furthermore, expression validation, diagnostic efficacy evaluation, and upstream miRNA prediction of hub signature genes were performed. We verified the miRNA expression of the key gene colony stimulating factor 1 (
CSF1) and microRNA-326 (miR-326) by reverse transcription-quantitative PCR (RT‒qPCR).
UNASSIGNED: The proportion of infiltrating T and natural killer (NK) cells differed between the T1D and control samples, and 207 immune genes (IGs) related to these immune cells were extracted. After differential expression, PPI, and LASSO Cox regression analyses, four signature DEIGs were identified for IGS construction: notch receptor 1 (NOTCH1), Janus kinase 3 (JAK3), tumor necrosis factor receptor superfamily member 4(TNFRSF4), and
CSF1. Key pathways such as the Toll-like receptor signaling pathway were significantly activated in the high-risk group. Moreover, the upregulation of
CSF1 in T1D samples was confirmed using a validation dataset, and
CSF1 showed high diagnostic efficacy for T1D. Furthermore,
CSF1 was targeted by miR-326.We used validated key genes in T1D patients, several of which were confirmed by RT‒qPCR.
UNASSIGNED: In conclusion, the identified key IGs may play an important role in T1D.
CSF1 can be developed as a novel diagnostic biomarker for T1D.