ArticleJOR spine2025
Lactate Metabolism in Intervertebral Disc Degeneration: Unveiling Novel Mechanisms Through Bioinformatics.
Article in JOR spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Loss of MCT1 mediated lactate uptake causes delayed endplate maturation and intervertebral disc degeneration.Cell death & disease · 2026Article
- Lactate Metabolism in the Intervertebral Disc: Mechanistic Insights and Pathological Implications.Biomolecules · 2026Review
- Stress-response exhaustion in intervertebral disc degeneration.Frontiers in cell and developmental biology · 2026Review
- Lactate Metabolism in Intervertebral Disc Degeneration: Unveiling Novel Mechanisms Through Bioinformatics.JOR spine · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Intervertebral disc degeneration (IDD) is a widespread issue associated with chronic lumbar pain and disability. This study aimed to identify lactate metabolism-related genes in IDD and elucidate their mechanistic roles in disease progression. Methods: IDD datasets were analyzed using R packages GEOquery, sva, and limma for data retrieval, batch correction, and normalization. Differential gene expression analysis identified significant genes between IDD and control groups, from which lactate metabolism-related differentially expressed genes (LMRDEGs) were derived. Relationships among the LMRDEGs were assessed using Spearman's correlation analysis, and functional enrichment was conducted using ClusterProfiler. Gene set enrichment analysis identified biological processes associated with IDD. Diagnostic models were assessed using receiver operating characteristic (ROC) curve. Immune cell infiltration and correlations with core genes were analyzed via the CIBERSORT algorithm. Regulatory networks were constructed, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) was employed to validate the expression of hub LMRDEGs in IDD. Results: A total of 1325 differentially expressed genes were identified, yielding seven LMRDEGs: Conclusion: This study clarifies how lactate metabolism contributes to IDD through molecular mechanisms and its interplay with immunological features, providing a theoretical basis for understanding the early pathogenesis of IDD.
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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.