Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets.

IF 4.3 Annals of medicine Pub Date : 2025-12-01 Epub Date: 2025-01-24 DOI:10.1080/07853890.2025.2457523
Yuling Chen, Yan Li, Yuan Xu, Qing Lv, Yuanchun Ye, Jieruo Gu
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Abstract

Background: Ankylosing spondylitis (AS) is a chronic autoimmune disease that primarily affects the axial joints. Immune cells play a key role in the pathogenesis of AS. This study integrated bioinformatics methods with experimental validation to explore the role of natural killer (NK) cells in AS.

Methods: Two microarray datasets, GSE25101 and GSE73754, were selected, and the scRNA-seq data were obtained from GSE194315 and Liu's research. Differentially expressed genes (DEGs) and functional enrichment analysis were performed respectively. Weighted gene co-expression network analysis (WGCNA) was conducted to identify key modules of co-expressed genes and genes involved in NK cell function. The diagnostic value of the identified key genes was evaluated using ROC curves, logistic regression analysis, and a nomogram. Real-time PCR (RT-PCR) was used to quantified the expression of genes. Statistical analysis was conducted using the R software package, and a p-value of less than 0.05 was considered statistically significant.

Results: Pathways enrichment analysis revealed the involvement of NK cell-mediated immune pathways and regulation of the innate immune response, indicating the crucial role of innate immunity, especially NK cells, in AS pathogenesis. The construction of a co-expression network revealed that the MElightyellow module was most relevant to the NK cell-mediated immune pathway. IL2RB, CD247, PLEKHF1, EOMES, S1PR5, FGFBP2 from the MElightyellow module were identified as key genes involved in NK cell-mediated immune response and served as potential diagnostic biomarkers for AS, with moderate to high diagnostic values based on AUC values. Further analysis using scRNA-seq profiling revealed the higher expression level of IL2RB, CD247, PLEKHF1, S1PR5, FGFBP2 in NK cells compared to that in other cell types. CD247, PLEKHF1, EOMES, S1PR5, and FGFBP2 were reduced expressed in AS patients as compare to control group verified by scRNA-seq data, CD247, EOMES, FGFBP2, IL2RB and S1PR5 were reduced expressed verified by RT-PCR, and PLEKHF1, S1PR5, and FGFBP2 was upregulated after TNF-α blocker therapy.

Conclusion: The study revealed the potential role of NK cells and identified IL2RB, CD247, PLEKHF1, EOMES, S1PR5, and FGFBP2 as key genes associated with NK cells in the pathogenesis of AS.

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揭示自然杀伤细胞在强直性脊柱炎中的作用:确定诊断生物标志物和治疗靶点。
背景:强直性脊柱炎(AS)是一种慢性自身免疫性疾病,主要影响轴关节。免疫细胞在AS的发病机制中起关键作用。本研究将生物信息学方法与实验验证相结合,探讨自然杀伤(NK)细胞在AS中的作用。方法:选择GSE25101和GSE73754两个微阵列数据集,scRNA-seq数据来源于GSE194315和Liu的研究。分别进行差异表达基因(DEGs)和功能富集分析。采用加权基因共表达网络分析(Weighted gene co-expression network analysis, WGCNA)鉴定共表达基因的关键模块和参与NK细胞功能的基因。鉴定出的关键基因的诊断价值采用ROC曲线、逻辑回归分析和正态图进行评估。采用实时荧光定量PCR (RT-PCR)对基因表达进行定量分析。采用R软件包进行统计分析,p值小于0.05认为有统计学意义。结果:通路富集分析揭示了NK细胞介导的免疫通路和先天免疫应答的调控,表明先天免疫,特别是NK细胞在AS发病中的重要作用。共表达网络的构建表明,melightyyellow模块与NK细胞介导的免疫通路最为相关。melighty黄模块中的IL2RB、CD247、PLEKHF1、EOMES、S1PR5、FGFBP2是参与NK细胞介导的免疫应答的关键基因,可作为as的潜在诊断生物标志物,基于AUC值具有中高诊断价值。进一步scRNA-seq分析显示,NK细胞中IL2RB、CD247、PLEKHF1、S1PR5、FGFBP2的表达水平高于其他细胞类型。经scRNA-seq数据证实,AS患者的CD247、PLEKHF1、EOMES、S1PR5、FGFBP2的表达水平较对照组降低;经RT-PCR证实,AS患者的CD247、EOMES、FGFBP2、IL2RB、S1PR5的表达水平较对照组降低;经TNF-α阻滞剂治疗后,AS患者的PLEKHF1、S1PR5、FGFBP2表达水平上调。结论:本研究揭示了NK细胞在as发病中的潜在作用,发现IL2RB、CD247、PLEKHF1、EOMES、S1PR5、FGFBP2是与NK细胞相关的关键基因。
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