Abstract

BackgroundIntervertebral disc degeneration (IDD) is widely known as the main contributor to low back pain which has a negative socioeconomic impact worldwide. However, the underlying mechanism remains unclear. This study aims to analyze the dataset GSE23130 using bioinformatics methods to identify the pivotal genes and pathways associated with IDD.Material/methodsThe gene expression data of GSE23130 was downloaded, and differentially expressed genes (DEGs) were extracted from 8 samples and 15 controls. GO and KEGG pathway enrichment analyses were performed. Also, protein–protein interaction (PPI) network was constructed and visualized, followed by identification of hub genes and key module.ResultsA total of 30 downregulated and 79 upregulated genes were identified. The DEGs were mainly enriched in the regulation of protein catabolic process, extracellular matrix organization, collagen fibril organization, and extracellular structure organization. Meanwhile, we found that most DEGs were primarily enriched in the PI3K-Akt signaling pathway. The top 10 hub genes were FN1, COL1A2, SPARC, COL3A1, CTGF, LUM, TIMP1, THBS2, COL5A2, and TGFB1.ConclusionsIn summary, key candidate genes and pathways were identified by using integrated bioinformatics analysis, which may provide insights into the underlying mechanisms and offer potential target genes for the treatment of IDD.

Highlights

  • Low back pain (LBP) is increasingly recognized as a global public health problem associated with decreased quality of life and increased healthcare expenditure [1,2,3]

  • In summary, key candidate genes and pathways were identified by using integrated bioinformatics analysis, which may provide insights into the underlying mechanisms and offer potential target genes for the treatment of Intervertebral disc degeneration (IDD)

  • The differentially expressed genes (DEGs) were mainly enriched in skeletal system development, regulation of protein catabolic process, extracellular matrix organization, collagen fibril organization, and extracellular structure organization in terms of biological process (BP)

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Summary

Introduction

Low back pain (LBP) is increasingly recognized as a global public health problem associated with decreased quality of life and increased healthcare expenditure [1,2,3]. Intervertebral disc degeneration (IDD) is one of the most common sources of low back pain [5]. Intervertebral disc degeneration is characterized by the excessive degradation of ECM, leading to reduced hydration, Hu et al Journal of Orthopaedic Surgery and Research (2020) 15:371 loss of disc height, and decreased ability to absorb mechanical force [6]. Intervertebral disc degeneration (IDD) is widely known as the main contributor to low back pain which has a negative socioeconomic impact worldwide. This study aims to analyze the dataset GSE23130 using bioinformatics methods to identify the pivotal genes and pathways associated with IDD. Protein–protein interaction (PPI) network was constructed and visualized, followed by identification of hub genes and key module

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