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Identification of Biomarkers, Pathways, Immune Properties of Mitophagy Genes, and Prediction Models for Intervertebral Disc Degeneration

Authors :
Huang Y
Qiu X
Liu J
Wan J
Yu C
Liu C
Duan Y
Chen C
Dai J
Ouyang J
Liu M
Min S
Qiu S
Source :
Journal of Inflammation Research, Vol Volume 17, Pp 2959-2975 (2024)
Publication Year :
2024
Publisher :
Dove Medical Press, 2024.

Abstract

Yongxiong Huang,1,2,* Xianshuai Qiu,3,* Jinlian Liu,4 Jiangtao Wan,5 Cheng Yu,1 Chun Liu,1 Yang Duan,1 Chong Chen,2 Jingxing Dai,6 Jun Ouyang,6 Ming Liu,3 Shaoxiong Min,1,5 Sujun Qiu1 1Department of Spine Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, People’s Republic of China; 2Department of Spine Surgery, Guangdong Provincial People’s Hospital, Southern Medical University, Guangzhou, 510000, People’s Republic of China; 3Department of Orthopedics and Sports Medicine Center, Heyou Hospital, Foshan, 528333, People’s Republic of China; 4Department of Pathophysiology, Guangdong Provincial Key Laboratory of Shock and Microcirculation, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China; 5Shenzhen Key Laboratory of Spine Surgery, Department of Spine Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, People’s Republic of China; 6Guangdong Provincial Key Laboratory of Medical Biomechanics & National Key Discipline of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China*These authors contributed equally to this workCorrespondence: Sujun Qiu, Department of Spine Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, People’s Republic of China, Email qiusjspine@126.com Shaoxiong Min, Shenzhen Key Laboratory of Spine Surgery, Department of Spine Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, People’s Republic of China, Email msxbear24@163.comBackground: Intervertebral disc degeneration (IDD) is the leading cause of low back pain (LBP). The mechanism of IDD development and progression is not fully understood. Peripheral biomarkers are increasingly vital non-radioactive methods in early detection and diagnosis for IDD. Nevertheless, less attention has been paid to the role of mitophagy genes in the progress of IDD. This study aimed to identify the mitophagy disease-causing genes in the process of IDD and mitophagy diagnostic biomarkers for IDD.Methods: Mitophagy-related differentially expressed genes (MRDEGs) related to IDD were investigated by analyzing the microarray datasets of IDD cases from GEO, PathCards and Molecular Signatures Databases. We used R software, WGCNA, PPI, mRNA-miRNA, mRNA-TF, GO, KEGG, GSEA, GSVA and Cytoscape to analyze and visualize the data. We further used ssGSEA for immunoinfiltration analysis to obtain different immune cell infiltration. LASSO model was developed to screen for genes that met the diagnostic gene model requirements. Finally, qRT-PCR, Western blotting and HE were used to verify hub genes and their expression from clinical IDD samples.Results: We identified 14 MRDEGs and 12 hub genes. GO, KEGG, GSEA and GSVA analyses demonstrated that hub genes were critical for the development of IDD. LASSO diagnostic model consisted of six hub genes, among which SQSTM1, ATG7 and OPTN were significantly different between the two IDD disease subtypes. At the same time, SQSTM1 also had a high correlation with immune characteristic subtypes. The results of qRT-PCR and Western blotting also indicated that these genes were significantly differentially expressed in nucleus pulposus cells (NPCs) of the IDD group.Conclusion: We explored an association between MRDEGs-associated signature in IDD and validated that hub genes like SQSTM1 might serve as biomarkers for diagnostic and therapeutic targets for IDD. Meanwhile, this study can provide new insights into the functional characteristics and mechanism of mitophagy in the development of IDD. Keywords: intervertebral disc degeneration, mitophagy-related differentially expressed genes, immune infiltration, diagnostic model, SQSTM1, nucleus pulposus cells

Details

Language :
English
ISSN :
11787031
Volume :
ume 17
Database :
Directory of Open Access Journals
Journal :
Journal of Inflammation Research
Publication Type :
Academic Journal
Accession number :
edsdoj.1ebf5f4323324ca098f790db82799d86
Document Type :
article