通过分析与炎症相关的特定基因组来识别骨关节炎的新诊断生物标志物和分类模式
Songsheng Li1, Lige Ma2, Ruikai Cui2
1Orthopaedics Department III (Joint), The Fifth Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, China. lisongsheng3716@163.com.
Inflammation
|July 18, 2023
概括
这项研究确定了与TNF-alpha通过NF-kappaB (TSVN) 信号传递相关的关键基因,这些基因对骨关节炎 (OA) 进展至关重要. 使用这些基因的预测模型准确诊断了OA,突出了TSVN.
科学领域:
- * 分子生物学 * 分子生物学
- * 遗传学 遗传学是一门学科
- * 免疫学 免疫学
背景情况:
- *骨关节炎 (OA) 是全球广泛的关节疾病.
- *瘤坏死因子-α (TNF-α) 是一种关键的炎症性细胞因子在OA的发病过程中.
- *TNF-α通过NF-kappaB (TSVN) 相关基因 (TRG) 信号传递在OA进展中的作用尚未完全理解.
研究的目的:
- * 识别和分析TSVN相关基因 (TRGs) 参与骨关节炎进展.
- * 开发使用已识别的枢纽TRG进行OA诊断的预测模型.
- * 探索OA中的分子亚型和免疫微环境.
主要方法:
- *对来自三个独立数据集的OA转录组数据进行综合分析.
- * 后勤回归建模以识别枢纽TRG并构建预测名ogram.
- *共识聚类用于分子亚型,与GO,KEGG,GSVA,GSEA和xCell一起用于功能和免疫微环境分析.
主要成果:
- *确定了三个枢纽TRG (BHLHE40,BTG2,CCNL1) 作为潜在的OA生物标志物.
- * 开发了一个具有高诊断准确性的预测模型 (AUC合并=0.937,AUC验证=0.924).
- *发现了两个分子亚型 (C1,C2),其中C1表现出激活的免疫和炎症通路.
结论:
- *确定了TSVN信号在OA发展和进展中的参与.
- * 突出显示了BHLHE40,BTG2和CCNL1作为与OA相关的重要基因.
- * 证明了开发的逻辑回归模型对准确的OA诊断的有效性.
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