Abstract

Background: Intervertebral disc degeneration impairs the quality of patients lives. Even though there has been development of many therapeutic strategies, most of them remain unsatisfactory due to the limited understanding of the mechanisms that underlie the intervertebral disc degeneration.Questions/purposes: This study is meant to identify the key modules and hub genes related to the annulus fibrosus in intervertebral disc degeneration (IDD) through: (1) constructing a weighted gene co-expression network; (2) identifying key modules and hub genes; (3) verifying the relationships of key modules and hub genes with IDD; and (4) confirming the expression pattern of hub genes in clinical samples.Methods: The Gene Expression Omnibus provided 24 sets of annulus fibrosus microarray data. Differentially expressed genes between the annulus fibrosus of degenerative and non-degenerative intervertebral disc samples have gone through the Gene Ontology (GO) and pathway analysis. The construction of a gene network and classification of genes into different modules were conducted through performing Weighted Gene Co-expression Network Analysis. The identification of modules and hub genes that were most related to intervertebral disc degeneration was proceeded. In order to verify the relationships of the module and hub genes with intervertebral disc degeneration, Ingenuity Pathway Analysis was operated. Clinical samples were adopted to help verify the hub gene expression profile.Results: One thousand one hundred ninety differentially expressed genes were identified. Terms and pathways associated with intervertebral disc degeneration were presented by GO and pathway analysis. The construction of a Weighted Gene Coexpression Network was completed and clustering differentially expressed genes into four modules was also achieved. The module with the lowest P-value and the highest absolute correlation coefficient was selected and its relationship with intervertebral disc degeneration was confirmed by Ingenuity Pathway Analysis. The identification of hub genes and the confirmation of their expression profile were also realized.Conclusions: This study generated a comprehensive overview of the gene networks underlying annulus fibrosus in intervertebral disc degeneration.Clinical Relevance: Modules and hub genes identified in this study are highly associated with intervertebral disc degeneration, and may serve as potential therapeutic targets for intervertebral disc degeneration.

Highlights

  • Low back pain (LBP), one of the most common musculoskeletal diseases, is estimated that up to 84% of the population suffer from LBP at least once in their life (Walker, 2000; Shen et al, 2018)

  • From levels T12–L1 to L4– L5, five pairs of non-degenerative and degenerative annulus fibrous samples were collected for quantitative real-time PCR (qRT-PCR) analysis to confirm hub gene expression

  • 2,636 probes were identified as differentially expressed in comparisons of degenerative and non-degenerative annulus fibrosus tissue samples

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Summary

Introduction

Low back pain (LBP), one of the most common musculoskeletal diseases, is estimated that up to 84% of the population suffer from LBP at least once in their life (Walker, 2000; Shen et al, 2018). The clinical results of these treatments are suboptimal and a comprehensive understanding of the biological causes of IDD is required to develop improved therapies (Rao and Cao, 2014; Kadow et al, 2015). Several studies have been conducted using microarray to investigate biomarkers and key pathways in IDD. This information enhances our understanding of IDD, and highlights potential therapeutic targets. Questions/purposes: This study is meant to identify the key modules and hub genes related to the annulus fibrosus in intervertebral disc degeneration (IDD) through: (1) constructing a weighted gene co-expression network; (2) identifying key modules and hub genes; (3) verifying the relationships of key modules and hub genes with IDD; and (4) confirming the expression pattern of hub genes in clinical samples

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