ArticleJournal of musculoskeletal & neuronal interactions2025
Construction of a lncRNA-miRNA-mRNA Network for Biomarker Identification in Intervertebral Disc Degeneration.
Article in Journal of musculoskeletal & neuronal interactions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Research progress on BTG2 in non‑tumor diseases (Review).International journal of molecular medicine · 2026Review
- Epigenetic research methods and animal models for intervertebral disc degeneration (Review).Molecular medicine reports · 2026Review
- Rebuilding the degenerative disc microenvironment: mesenchymal stem cells, exosomes, and bioengineered scaffolds.Frontiers in bioengineering and biotechnology · 2026Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify pivotal gene markers and pathways involved in intervertebral disc degeneration (IDD) through the construction of a competing endogenous RNA (ceRNA) network.
methodsA ceRNA network was constructed using mRNAs associated with clinical IDD phenotypes (age, MRI grade), identified through Weighted Gene Co-expression Network Analysis (WGCNA). From the core mRNAs within the ceRNA network, potential marker genes were identified using LASSO regression, Support Vector Machine (SVM), and Random Forest algorithms. A sub-network was then constructed, and the candidate marker genes were further validated using the mouse IDD dataset GSE134955.
resultsA total of 119 differentially expressed long non-coding RNAs (DELs), 1,267 differentially expressed mRNAs (DEMs), and 37 differentially expressed microRNAs (DEMis) were identified in IDD samples compared to controls. WGCNA identified 1,190 DEMs significantly associated with MRI grade. Based on these MRI grade-associated DEMs, a hub ceRNA network comprising 4 DEMis, 90 DELs, and 18 DEMs was established. Among these, three DEMs-BTG2, MDM4, and ACOX1-were consistently identified as marker genes by LASSO, SVM, and Random Forest. These three genes also demonstrated high accuracy in distinguishing IDD from control samples in the independent mouse dataset.
conclusionThis study identified key mRNAs implicated in IDD progression and provides new insights into the regulatory roles of ceRNA networks in the disease. These findings may contribute to the development of novel diagnostic biomarkers and therapeutic targets for IDD.
Indexed as
Identifiers
40889197PMC12401473What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.