ArticleInternational journal of molecular sciences2025
Integrative Proteome and Transcriptome Analyses Reveal the Metabolic Disturbance of the Articular Cartilage in Kashin-Beck Disease, an Endemic Arthritis.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
2 citing papers 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
- Effects of selenium-mediated RUNX2 overexpression and its transcriptome alterations on Chondrocyte injury in Kashin Beck disease.Frontiers in cell and developmental biology · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The objective of this study was to elucidate the proteomic and transcriptomic alterations within the cartilage in Kashin-Beck disease (KBD) compared to a normal control. We conducted a comparison of the expression profiles of proteins, mRNAs, and lncRNAs via data-independent acquisition (DIA) proteomics and transcriptome sequencing in six KBD individuals and six normal individuals. To facilitate the functional annotation enrichment analysis of the differentially expressed (DE) proteins, DE mRNAs, and DE lncRNAs, we employed bioinformatic analysis utilizing Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Additionally, we conducted integration analysis of multi-omics datasets using mixOmics. We revealed a distinct proteomic signature, highlighting 53 DE proteins, with notable alterations in the pathways related to tryptophan metabolism and microbial metabolism. Additionally, we identified 160 DE mRNAs, with the functional enrichment analysis uncovering pathways related to RNA metabolism and protein splicing. Furthermore, our analysis of the lncRNAs demonstrated biological processes involved in protein metabolism and cellular nitrogen compound metabolic processes. The integrative analysis uncovered significant correlations, including the positive correlation between superoxide dismutase 1 (
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Registered trials
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