Nonhistone Protein Acetylation Reprograms the ECM-Receptor Interaction Pathway: Multiomics Profiling of Cartilage Degeneration in Rat Models of Osteoarthritis

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Journal of Proteome Research Pub Date : 2026-10-02 Epub Date: 2026-08-26 DOI:10.1021/acs.jproteome.6c00137
Jiahao Sun, Teng Ma, Qi Sun, Xu Cui, Ximin Jin, Yongkui Zhang, Wenpeng Xie
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引用次数: 0

Abstract

Nonhistone acetylation is a key epigenetic mechanism in osteoarthritis (OA), but its specific role in cartilage degeneration remains unclear. Here, we integrated transcriptomics, proteomics, and acetyl-proteomics to systematically analyze molecular changes in rat OA cartilage. Multiomics coenrichment identified the ECM-receptor interaction pathway as the core target, reprogrammed by increased acetylation of Fn1, Tnc, and Itgb1. Using 113 machine-learning strategies, we identified 11 core diagnostic genes, with Wisp3 showing the highest efficacy validated in independent data sets. In vitro experiments and single-cell RNA-seq confirmed that Wisp3 downregulation disrupts ECM homeostasis. This study reveals that nonhistone acetylation drives OA by reprogramming the ECM-receptor interaction pathway and provides novel early diagnostic biomarkers.

非组蛋白乙酰化重编程ecm受体相互作用途径:骨关节炎大鼠模型软骨变性的多组学分析
非组蛋白乙酰化是骨关节炎(OA)的关键表观遗传机制,但其在软骨退变中的具体作用尚不清楚。在这里,我们整合了转录组学、蛋白质组学和乙酰蛋白质组学来系统地分析大鼠OA软骨的分子变化。多组学富集鉴定出ecm受体相互作用途径是核心靶点,通过增加Fn1、Tnc和itgb1的乙酰化重新编程。使用113种机器学习策略,我们确定了11个核心诊断基因,其中Wisp3在独立数据集中显示出最高的有效性。体外实验和单细胞rna测序证实,Wisp3下调可破坏ECM稳态。该研究揭示了非组蛋白乙酰化通过重编程ecm受体相互作用途径驱动OA,并提供了新的早期诊断生物标志物。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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