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Combinatorial Chemistry & High Throughput Screening

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ISSN (Print): 1386-2073
ISSN (Online): 1875-5402

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Research Article

Identification and Verification of Key MiRNAs Associated with Intervertebral Disc Degeneration

Author(s): Jianwei Liu*, Rong Li* and Peizhen Lyv

Volume 26, Issue 9, 2023

Published on: 02 November, 2022

Page: [1766 - 1774] Pages: 9

DOI: 10.2174/1386207325666220915113438

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Abstract

Background: Intervertebral Disc Degeneration (IDD) is a heterogeneous spinal disease whose underlying molecular mechanism is unclear.

Objectives: This study aimed to identify, profile, and analyze microRNAs (miRNAs) related to IDD.

Methods: Microarray Gene Expression IDD data (GSE63492) were downloaded from Gene Expression Omnibus datasets. We employed Weighted Gene Co-Expression Network Analysis (WGCNA) to construct a miRNA co-expression network, and the miRNAs related to the IDD stage were detected. The number of differentially expressed miRNAs between normal and degenerated nucleus pulposus tissues was calculated. Twenty-three clinical specimens were used to validate the expression of miRNAs using qRT-PCR.

Results: WGCNA identified 48 miRNAs significantly related to the IDD stage, and 94 miRNAs that were significantly different between normal and degenerated nucleus pulposus tissues. We selected 32 overlapping miRNAs and identified 347 corresponding target genes. The integrative analysis revealed the biological function and pathways of these targeted genes. Analysis of clinical specimens validated that hsa-miR-4534 was upregulated in IDD, whereas hsa-miR-1827 and hsa-miR- 185-5p were downregulated in IDD.

Conclusion: This study has identified a subset of miRNAs that are related to IDD pathogenesis and hub miRNAs that are keys to the IDD co-expression network, which may potentially be utilized as indicators for treatment.

Keywords: Degeneration, Intervertebral Disc, MicroRNAs, Gene Expression, Gene Regulatory Networks

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