萨尔科佩尼亚中化学基因和NETosis相关基因的全面分析:基于机器学习的诊断名录图的构建
Yingwei Wang1, Le Wang1, Yan Zhang2
1Clinical Nutrition/Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
Frontiers in medicine
|July 8, 2025
概括
这项研究确定了三种关键基因 (CXCR1,CXCR2,LPL),这些基因与肉类的化学因子和中性粒细胞外细胞陷形成 (NETosis) 有关. 这些发现有助于开发准确的诊断模型来诊断和 Sarcopenia 的早期检测.
科学领域:
- 生物化学和分子生物学
- 免疫学 免疫学 免疫学
- 老年学是一门学科.
背景情况:
- 化学物质和中性粒细胞外细胞陷形成 (NETosis) 是关键的炎症媒介.
- 石症中化学因子和NETosis的分子机制尚未完全理解.
研究的目的:
- 为了确定参与sarcopenia中的化学和NETosis途径的关键基因.
- 使用机器学习开发准确的萨尔科佩尼亚诊断模型.
主要方法:
- 利用了来自肉症,前肉症和健康对照组的mRNA表达数据 (GSE226151).
- 进行丰富分析以确定差异表达基因 (DECRGs和DENRGs).
- 采用机器学习和单变量分析来选择特征基因并构建诊断名录.
主要成果:
- 鉴定了7个差异表达的基因 (DECRG和DENRG),富含化学激素信号和细胞因子受体相互作用.
- 发现了三个标志性基因:CXCR1,CXCR2和LPL.
- 开发了高精度 (AUC 0.837 和 0.903) 的名图模型,用于区分肉症阶段.
结论:
- 确定了CXCR1,CXCR2和LPL作为关键基因,将化学因子和萨尔科佩尼亚中的NETosis联系起来.
- 建立了高精度的诊断模型,用于萨科佩尼亚及其早期阶段.
- 提供了一种新的 sarcopenia 诊断的初步方法.
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