Identification of Potential Targets for EGFR-Regulated Nucleus Pulposus Degeneration Using Single-Cell RNA Sequencing and Machine Learning.

IF 4.1 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2025-09-02 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S530776
Xiaoyao Peng, Yi Wang, Yangyang Chen, Yuxiang Hu, Fashuai Wu, Lu Zhang, Weihua Xu, Yulong Wei
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引用次数: 0

Abstract

Introduction: While nucleus pulposus cell (NPC) degeneration is a primary driver of intervertebral disc degeneration (IVDD), the cellular heterogeneity and molecular interactions underlying NPC degeneration remain poorly characterized. Previous studies have shown that EGFR signaling plays a significant role in NPC differentiation and collagen matrix production. Consequently, this study aims to identify the critical downstream regulatory molecule of EGFR in the process of NPC degeneration.

Methods: We conducted subpopulation identification and functional analysis on scRNA-seq results in the GSE165722 dataset. Through pseudotime analysis, we identified genes with significant changes. Furthermore, we performed single-gene GSEA based on EGFR expression levels and conducted WGCNA to identify hub genes. Then, a combination of three machine learning algorithms (Lasso, XGBoost, and Random Forest), ROC curve, and validation in clinical specimens was employed to identify potential downstream regulatory molecule of EGFR associated with NPC degeneration. Finally, the regulatory effect of EGFR on potential downstream molecules was validated through both in vitro and in vivo experiments.

Results: NPC from six severe IVDD samples were classified into six subpopulations, among which Fib-NPC was identified by functional and pseudotime analyses as a late-stage degenerative subpopulation linked to IVDD, with upregulated EGFR expression observed during degeneration. Five hub genes were identified through the intersection of pseudotime analysis, single-gene GSEA, and WGCNA. By integrating the results from three machine learning and validating through ROC curve and IHC, JAK1 was further identified as a downstream regulatory target of EGFR. Then, we found that JAK1 expression was elevated in NPC under oxidative stress, but remained unchanged following Gefitinib pretreatment. We further developed an IVDD model using mice with NP-specific inactivation of EGFR, which demonstrated that EGFR inactivation attenuated the upregulation of JAK1 in the degenerated NP region.

Conclusion: This study reveals a significant degenerative process in NPC and indicates that EGFR may contribute to this degeneration by regulating JAK1, thereby identifying a potential therapeutic target for delaying IVDD.

利用单细胞RNA测序和机器学习鉴定egfr调控髓核变性的潜在靶点。
虽然髓核细胞(NPC)退变是椎间盘退变(IVDD)的主要驱动因素,但NPC退变背后的细胞异质性和分子相互作用的特征仍然很差。既往研究表明,EGFR信号在鼻咽癌分化和胶原基质生成中起重要作用。因此,本研究旨在确定EGFR在鼻咽癌变性过程中的关键下游调控分子。方法:对GSE165722数据集中的scRNA-seq结果进行亚群鉴定和功能分析。通过伪时间分析,我们发现了具有显著变化的基因。此外,我们基于EGFR表达水平进行了单基因GSEA,并进行了WGCNA来鉴定中心基因。然后,结合三种机器学习算法(Lasso、XGBoost和Random Forest)、ROC曲线和临床标本验证,确定与鼻咽癌变性相关的EGFR潜在下游调控分子。最后,通过体外和体内实验验证EGFR对潜在下游分子的调节作用。结果:来自6个严重IVDD样本的NPC被分为6个亚群,其中Fib-NPC被功能和伪时间分析鉴定为与IVDD相关的晚期退行性亚群,在退行性变期间观察到EGFR表达上调。通过伪时间分析、单基因GSEA和WGCNA交叉鉴定出5个枢纽基因。通过整合三个机器学习的结果,并通过ROC曲线和IHC验证,JAK1进一步被确定为EGFR的下游调控靶点。然后,我们发现氧化应激下鼻咽癌中JAK1表达升高,但吉非替尼预处理后保持不变。我们进一步用NP特异性EGFR失活的小鼠建立了IVDD模型,结果表明EGFR失活减弱了退化NP区JAK1的上调。结论:本研究揭示了鼻咽癌的显著变性过程,并表明EGFR可能通过调节JAK1参与这种变性,从而确定了延迟IVDD的潜在治疗靶点。
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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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