ArticleCureus2024
Identification and Validation of Telomere-Related Gene Signature in Intervertebral Disc Degeneration.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigates the role of telomere-related differentially expressed genes (TRDEGs) in intervertebral disc degeneration (IVDD) through comprehensive bioinformatics analyses. Data were sourced from the Gene Expression Omnibus (GEO) with datasets GSE245147 and GSE124272 used for initial identification and validation, respectively. The GSE245147 dataset comprised transcriptional profiles from nucleus pulposus cells of both degenerated and non-degenerated human nucleus pulposus (NP) tissues. Using the limma package, 198TRDEGs were identified by intersecting differentially expressed genes (DEGs) with telomere-related genes (TRGs) from the TelNet database. Functional enrichment analyses using the Database for Annotation, Visualization and Integrated Discovery (DAVID) revealed that TRDEGs are significantly involved in cell division, chromosome segregation, and other mitotic processes. Protein-protein interaction (PPI) networks constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and visualized with Cytoscape (Cytoscape Consortium, San Diego, CA, USA) identified key hub genes such as CDK1, CCNA2, and AURKB. Pearson correlation and receiver operating characteristic (ROC) analyses highlighted five hub genes (ASPM, BUB1B, CDC20, KIF2C, TTK) with significant predictive value for IVDD. Additionally, mRNA-microRNA (miRNA) interaction analysis using NetworkAnalyst identified key miRNAs interacting with these hub genes. This study provides insights into the molecular mechanisms of IVDD and identifies potential targets for therapeutic intervention.
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Registered trials
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