Evidence map›Paper›PMID 40927356›Full record

ArticleJournal of inflammation research2025

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

Xiaoyao Peng, Yi Wang, Yangyang Chen, Yuxiang Hu, Fashuai Wu, Lu Zhang, Weihua Xu, Yulong Wei

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaoyao Peng *Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yi Wang *Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Yangyang ChenDepartment of Orthopedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Hebei, People's Republic of China.
Yuxiang HuDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Fashuai WuDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Lu ZhangInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Weihua XuDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0000-0002-2570-5897
Yulong WeiDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0000-0003-3823-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EGFRintervertebral disc degenerationmachine learningnucleus pulposus

Identifiers

PMID40927356
PMCPMC12415117

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