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September 5, 2025Journal of Musculoskeletal and Neuronal InteractionsOpen Access

Construction of a lncRNA–miRNA–mRNA Network for Biomarker Identification in Intervertebral Disc Degeneration

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Authors

KHKai HuangLSLingling ShenHGHaoyuan Guan

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Overview

Competing endogenous RNA networks highlight key biomarkers in intervertebral disc degeneration, suggesting new therapeutic targets.

Key Points

  • Three key mRNAs were identified as potential biomarkers for intervertebral disc degeneration.
  • The analysis included a comprehensive dataset revealing 119 long non-coding RNAs and 1,267 mRNAs linked to IDD.
  • Network analysis utilized methods including WGCNA and algorithms like LASSO to construct a ceRNA framework.
  • These insights might lead to novel strategies for diagnosing and treating intervertebral disc degeneration.

Cite This Study

Huang et al. (2025) studied this question.

synapsesocial.com/papers/68bb46bd6d6d5674bccfeafehttps://doi.org/10.22540/jmni-25-316
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification of Biomarkers in Intervertebral Disc Degeneration Using Bioinformatics and Machine Learning Algorithms2024
  2. 2Identification of core genes in intervertebral disc degeneration using bioinformatics and machine learning algorithms2024 · 14 citations
  3. 3Bioinformatics analyses of a potential miRNA‒mRNA regulatory axis in lumbar degenerative disc disease2026
  4. 4Identification of key eRNAs for intervertebral disc degeneration by integrated multinomial bioinformatics analysis2024 · 1 citations
  5. 5Identification and experimental validation of biomarkers associated with exercise in intervertebral disc degeneration through bulk RNA and single-cell RNA sequencing analysis2026