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Novel biomarkers associated with oxidative stress and immune infiltration in intervertebral disc degeneration based on bioinformatics approaches.
Xiang, Min; Lai, Yue; Shen, Jianlin; Wei, Bo; Liu, Huan; Huang, Wenhua.
Afiliación
  • Xiang M; Department of Orthopedics, Affiliated Hospital of Guangdong Medical University, ZhanJiang 524001, China.
  • Lai Y; Department of Orthopedics, Affiliated Hospital of Guangdong Medical University, ZhanJiang 524001, China.
  • Shen J; Department of Orthopedics, Affiliated Hospital of Putian University, Putian, China; Central Laboratory, Affiliated Hospital of Putian University, Putian, China.
  • Wei B; Department of Orthopedics, Affiliated Hospital of Guangdong Medical University, ZhanJiang 524001, China.
  • Liu H; Department of Orthopedics, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, LuZhou 646000, China. Electronic address: 20016040@163.com.
  • Huang W; Department of Orthopedics, Affiliated Hospital of Guangdong Medical University, ZhanJiang 524001, China; Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, National Key Discipline of Human Anatomy, Sc
Comput Biol Chem ; 112: 108181, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39182249
ABSTRACT

BACKGROUND:

The etiology of intervertebral disc degeneration (IVDD), a prevalent degenerative disease in the elderly, remains to be fully elucidated. The objective of this study was to identify immune infiltration and oxidative stress (OS) biomarkers in IVDD, aiming to provide further insights into the intricate pathogenesis of IVDD.

METHODS:

The Gene Expression microarrays were obtained from the Gene Expression Omnibus (GEO) database. We conducted enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms. Subsequently, the R language packages CIBERSORT, MCPcounter, and WGCNA were employed to compare immune infiltration levels between IVDD samples and control samples. A protein-protein interaction (PPI) network was constructed using the Search Tools for the Retrieval of Interacting Genes (STRING) database to identify significant gene clusters. To identify hub genes, we employed Cytoscape's Molecular Complex Detection (MCODE) plug-in. The mRNA levels of hub genes in the cell model were validated by qPCR, while Western blotting was used to validate their protein levels.

RESULTS:

The GSE70362 dataset from the GEO database identified a total of 1799 genes that were differentially expressed. Among these, 43 genes were found to be differentially expressed and also associated with OS. The differentially expressed genes associated with OS and the immune-related module genes identified through WGCNA were further intersected, resulting in the identification of 10 key genes that were differentially expressed and played crucial roles in both immune response and OS. Subsequently, we validated four diagnostic markers (PPIA, MAP3K5, PXN, and JAK2) using the GSE122429 external dataset. In a cellular model of OS in NP cells, we have identified the upregulation of PPIA and PXN genes, which could serve as novel markers for IVDD.

CONCLUSION:

The study successfully identified and validated differentially expressed genes associated with oxidative stress and immune infiltration in IVDD samples compared to normal ones. Notably, the newly discovered biomarkers PPIA and PXN have not been previously reported in IVDD-related research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Estrés Oxidativo / Biología Computacional / Degeneración del Disco Intervertebral Límite: Humans Idioma: En Revista: Comput Biol Chem Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Estrés Oxidativo / Biología Computacional / Degeneración del Disco Intervertebral Límite: Humans Idioma: En Revista: Comput Biol Chem Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido