ArticleBMC musculoskeletal disorders2025
Identification of energy metabolism and m6A-related gene clusters in Kashin-Beck disease based on bioinformatics analysis.
Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- A blood-based four-gene diagnostic signature for Kashin-Beck disease revealed by multi-cohort transcriptomic analysis and machine learning.Frontiers in immunology · 2026Article
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7 authors.
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Abstract
Kashin-Beck disease (KBD) is a chronic and debilitating osteoarthropathy predominantly affecting populations in certain endemic regions. Despite extensive research, the underlying mechanisms of KBD remain poorly understood. Here we analyzed gene expression profiles from KBD patients and healthy controls, identifying 16 differentially expressed genes. Key pathways related to oxidative stress, apoptosis, and epigenetic regulation were implicated in KBD's development. Notably, GPX4 upregulation and differential m6A RNA methylation suggest potential therapeutic targets. Additionally, distinct metabolic regulation patterns were observed among KBD patients. These insights not only advance our understanding of KBD's molecular basis but also suggest promising directions for future research and clinical applications.
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