Human molecular mechanisms of lumbar disc degeneration: A scoping review

腰椎间盘退变的人类分子机制:一项范围综述

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Abstract

STUDY DESIGN: Scoping review. OBJECTIVE: To synthesize current knowledge of molecular mechanisms underlying human lumbar disc degeneration (LDD) and identify knowledge gaps to be addressed by future research. SUMMARY OF BACKGROUND DATA: Chronic low back pain (CLBP) is a leading cause of disability worldwide. Epidemiological studies based on radiologic findings suggest that patients with LDD are more likely to develop CLBP. Despite many reviews on disc degeneration, no systematic synthesis has focused on the molecular mechanisms of LDD using human tissue models. METHODS: A systematic search of 12 databases identified 8310 studies. After applying screening criteria, 159 studies analyzing human lumbar degenerative disc tissues from adult patients with radiologically diagnosed LDD were eligible for data extraction. Studies with sample sizes < 20, tissues from organ donors or non-lumbar regions, or findings based solely on animal data or public repositories (e.g., Gene Expression Omnibus) without clinical validation were excluded from the final synthesis. RESULTS AND CONCLUSIONS: Twenty-nine studies were selected for the synthesis of findings. Current evidence converges on dysregulated lipid metabolism, including impaired phosphatidylcholine synthesis and oxidized low-density lipoprotein signaling via LOX-1; ferroptosis and pyroptosis driven by iron overload and mitochondrial DNA-mediated inflammasome activation; and interleukins (IL-21, IL-17A) that enhance TNF-α-mediated catabolic and inflammatory signaling. Epigenetic regulators (SIRT1 and BRD4), posttranscriptional/translational proteins (TRIM21, Piezo1, YAP1, CHSY3, FSTL1, and IGFBP5), and noncoding RNAs further modulate extracellular matrix homeostasis, cell cycle progression, apoptosis, and inflammation, often through NF-κB and MAPK pathways. Despite their clinical relevance, the included studies had several major limitations: small sample sizes, limited phenotypic profiling and stratification, demographically unbalanced cohorts, and reliance on in vitro or animal models for experimental data. Future studies should integrate multi-omics, imaging, and clinical data to enhance mechanistic insight and support the development of targeted therapies for LDD.

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