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基于炎症和与热相关的基因的萨尔科佩尼亚预测模型

Xiaoqing Li¹, Cheng Wu¹, Xiang Lu¹

¹Department of Geriatrics, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.

Frontiers in genetics

|January 8, 2025

概括

与衰老相关的萨尔科佩尼亚,涉及炎症和热. 研究人员确定了六个关键基因 (BTG2,FOXO3,AQP9,GPC3,CYCS,SCN1B) 以及用于早期发现肉类的诊断模型.

科学领域:

老年学是一门学科.
分子生物学分子生物学
免疫学免疫学免疫学

背景情况:

萨科佩尼亚是一种常见的与年龄相关的疾病.
炎症和热是导致萨科佩尼亚发展的重要因素.

研究的目的:

为了确定关键的基因,并开发一个诊断模型,对萨尔科佩尼亚.
为了研究炎症和热在与年龄相关的肌肉损失中的作用.

主要方法:

对基因表达综合 (GEO) 数据集的分析 (GSE111016,GSE167186).
使用LASSO分析识别差异表达基因 (DEGs) 和与炎症和热相关的基因 (IPRGs).
开发和验证骨肌肉衰老模型和诊断查模型.
进行了基因本体学 (GO),基因和基因组的京都百科全书 (KEGG),基因组丰富分析 (GSEA) 和ssGSEA.
使用定量实时PCR (qRT-PCR) 来验证IPRG表达.

主要成果:

对44名老年人和68名年轻健康肌肉样本的分析揭示了DEGs.
老化肌肉显示T细胞透率降低,瘤细胞和单细胞透率增加.
一个基于六个IPRG的新型诊断模型实现了高预测效率 (AUC = 0.871).
qRT-PCR证实了已识别的IPRG的表达趋势.

结论:

确定了六个核心生物标志物 (BTG2,FOXO3,AQP9,GPC3,CYCS,SCN1B) 的研究结果.
一个新的诊断模型为早期诊断肉类症提供了一种新的方法.

关键词:

拉索·拉索 (Lasso) 是一个炎症和与炎症亡相关的基因.命名图形模型的模型.预测模型是一个预测模型.这种类型的麻症是sarcopenia.

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