Abstract

Intervertebral disc (IVD) degeneration (IDD) is a multifactorial physiological process which is often associated with lower back pain. Previous studies have identified some molecular markers associated with disc degeneration, which despite their significant contributions, have provided limited insight into the etiology of IDD. In this study, we utilized a network medicine approach to uncover potential molecular mediators of IDD. Our systematic analyses of IDD associated with 284 genes included functional annotation clustering, interaction networks, network cluster analysis and Transcription factors (TFs)-target gene network analysis. The functional enrichment and protein–protein interaction network analysis highlighted the role of inflammatory genes and cytokine/chemokine signaling in IDD. Moreover, sub-network analysis identified significant clusters possessing organized networks of 24 cytokine and chemokine genes, which may be considered as key modulators for IDD. The expression of these genes was validated in independent microarray datasets. In addition, the regulatory network analysis identified the role of multiple transcription factors, with RUNX1 being a master regulator in the pathogenesis of IDD. Our analyses highlighted the role of cytokine genes and interacting pathways in IDD and further improved our understanding of the genetic mechanisms underlying IDD.

Highlights

  • Intervertebral disc (IVD) degeneration (IDD) is a multifactorial physiological process, which is associated with low back pain, a major public health problem affecting millions of people globally and considered the leading cause of disability worldwide [1,2,3,4]

  • We identified a gene set consisting of 284 genes that were significantly associated with IDD (Figure 1)

  • We first identified 284 genes that were significantly associated with IDD from studies performed in human samples including nucleus pulposus, annulus fibrosus or whole disc

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Summary

Introduction

Intervertebral disc (IVD) degeneration (IDD) is a multifactorial physiological process, which is associated with low back pain, a major public health problem affecting millions of people globally and considered the leading cause of disability worldwide [1,2,3,4]. Recent studies using classic experimental and array-based approaches have identified some of the genes and molecular factors involved in the pathophysiology of IDD [6,9,10]. These studies only provided preliminary analyses to link these changes in gene expression with IDD pathogenesis

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