在骨关节炎中识别与菌相关的生物标志物
Shiqiang Ruan1, Dongxu Tang1, Yanfei Luo1
1Department of Orthopaedics Surgery, the First People's Hospital of Zunyi City (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China.
Animal models and experimental medicine
|May 9, 2024
概括
这项研究确定了六个与菌相关的基因 (MRG) 作为骨关节炎 (OA) 的潜在诊断生物标志物. 这些MRG与免疫细胞的变化有关,这表明线粒会通过免疫微环境影响OA的进展.
科学领域:
- 生物医学研究生物医学研究
- 分子生物学分子生物学
- 免疫学 免疫学 免疫学
背景情况:
- 骨关节炎 (OA) 是一种常见的退行性关节疾病,目前没有治愈方法,需要新的治疗点.
- 关键的细胞过程 - - 线粒细胞吸收 (mitophagy) 参与了OA的发病过程,但它在OA免疫系统中的特定作用在很大程度上仍未被探索.
研究的目的:
- 为了识别与菌相关的基因 (MRGs) 在OA中差异表达.
- 使用机器学习对具有OA诊断价值的MRG进行选.
- 研究OA中线粒和免疫反应之间的相互作用.
主要方法:
- 进行了差异和丰富分析,以确定OA中的关键MRG和相关途径.
- 随机森林 (RF) 和LASSO回归模型用于MRG选择和名录构造.
- 透分析被用来探索菌和OA相关的免疫细胞群之间的关系.
主要成果:
- 在OA中发现了43种不同表达的MRG,其中6种 (GABARAPL2,PARL,GABARAPL1,JUN,RRAS,SNX7) 具有显著的诊断价值.
- 接收器操作特征 (ROC) 分析证实了这六个MRG对OA诊断的高预测准确性.
- 免疫透分析显示,OA中免疫细胞的丰富性主要是上调,诊断MRG表达与这些免疫细胞变化相关.
结论:
- 六种特定的MRG作为骨关节炎的有前途的诊断生物标志物.
- 这些诊断MRG的表达与OA微环境内的免疫细胞丰度的变化有关.
- 线性可能通过调节免疫细胞来调节OA免疫微环境,从而影响疾病的进展.
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