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解码潜在的缩相关基因在萨尔科佩尼亚:一个多omics网络分析分析

Hongyu Yan¹, Long Shi¹, Yang Li^2,3,4

¹College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan 430061, China.

|December 30, 2025

概括

这项研究确定了SLC25A12和PABPC4作为关键基因,将铜代谢与肉症联系起来. 这些基因有潜力作为与年龄相关的肌肉损失的诊断生物标志物,提供新的治疗点.

科学领域:

生物化学和分子生物学
老年学是一门学科.
遗传学和基因组学遗传学和基因组学

背景情况:

麻症是一种与年龄相关的肌肉疾病,缺乏有效的诊断和治疗策略.
铜,一种依赖铜的细胞死亡,与肌肉缩有关,但其在肉症中的作用尚不清楚.

研究的目的:

为了研究 cuproptosis 和 sarcopenia 之间的关联.
为了确定潜在的诊断生物标志物和治疗的治疗标.

主要方法:

综合生物信息学分析GEO数据集 (GSE1428,GSE25941) 包括差异表达分析和权重基因同表达网络分析 (WGCNA).
与cuproptosis相关的基因 (CRG) 与差异表达的基因 (DEGs) 和WGCNA模块的交叉,以识别与肉类相关的cuproptosis DEGs (SAR-CUP DEGs).
使用了机器学习算法 (LASSO,RF,SVM) 和实验验证 (RT-qPCR).

主要成果:

确定了367个DEG和7个共同表达模块,其中14个SAR-CUP DEG在线粒体能量代谢中富含.
确定SLC25A12和PABPC4是具有强烈诊断价值的枢纽基因 (AUC分别为0.879和0.858).
在D-银糖诱导的肉病细胞模型中证实了SLC25A12和PABPC4的下调.

结论:

SLC25A12和PABPC4是有前途的生物标志物,将铜代谢失调与肉症联系起来.
这些基因代表了萨尔科佩尼亚诊断和治疗的潜在目标.
对铜代谢调节的进一步研究可能为与年龄相关的肌肉损失提供新的治疗途径.

关键词:

在PABPC4中,您可以使用PABPC4.在 SLC25A1212 中.这就是cuproptosis.机器学习是机器学习.这种类型的麻症是sarcopenia.

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