已发表论文

综合生物信息学和实验验证,MUC1和CREB3是髓核和纤维环退变的核心铁死亡抑制因子

 

Authors Yang X, Li Q, Wang L, Chen J, Quan Z

Received 23 August 2024

Accepted for publication 14 November 2024

Published 18 November 2024 Volume 2024:17 Pages 8965—8984

DOI https://doi.org/10.2147/JIR.S489052

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Tara Strutt

Xinyu Yang,1,2 Qiaochu Li,1,2 Linbang Wang,3 Jiaxing Chen,1,2 Zhengxue Quan1,2 

1Department of Orthopedics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China; 2Orthopedic Laboratory of Chongqing Medical University, Chongqing, 400016, People’s Republic of China; 3Department of Orthopedics, Peking University Third Hospital, Beijing, 100191, People’s Republic of China

Correspondence: Zhengxue Quan; Jiaxing Chen, Email quanzx18@126.com; cqykdxcjx@163.com

Purpose: Ferroptosis is an underlying mechanism for various degenerative diseases, but its role in intervertebral disc degeneration remains elusive. This study aims to explore the key ferroptosis-related genes and its role in nucleus pulposus (NP) and annulus fibrosus (AF) degeneration.
Methods: We analyzed the gene expression profiles of NP and AF from the Gene Expression Omnibus database. The ferroptosis-related differentially expressed genes (FRDEGs) in degenerated NP and AF were filtered, followed by GO and KEGG analysis. Feature FRDEGs were identified by the LASSO and SVM-RFE algorithms, and then Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were conducted. Immune infiltration analysis was conducted by CIBERSORT algorithm. We established drug networks via the Drug–Gene Interaction Database and competitive endogenous RNA (ceRNA) networks via miRanda, miRDB, and TargetScan database. The expression levels of the feature FRDEGs were assessed by the validation sets, single-cell RNA-seq, and experimental verification.
Results: A total of 15 and 18 FRDEGs were obtained for NP and AF, respectively. GO and KEGG analysis revealed their implication in oxidative stress. Four (AKR1C1, AKR1C3, MUC1, ENPP2) and five (SCP2, ABCC1, KLF2, IDO1, CREB3) feature genes were identified for NP and AF, respectively. The GSEA and GSVA analysis showed that these feature genes were enriched in lots of biological functions, including immune response. CREB3 in degenerated AF was negatively correlated with Eosinophils via CIBERSORT algorithm. The drugs and ceRNAs targeting CREB3 and MUC1 were identified. Experimental verification and single-cell RNA-seq analysis revealed that MUC1 and CREB3 were downregulated in degenerated NP and AF, respectively.
Conclusion: MUC1 and CREB3 were considered novel biomarkers for NP and AF ferroptosis, respectively. Drug and ceRNA networks were constructed for future drug development and investigation of new mechanisms of ferroptosis.

Keywords: bioinformatics analysis, experimental verification, ferroptosis, nucleus pulposus, annulus fibrosus, single-cell RNA-seq