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临床,免疫学和膀标记在萨尔科佩尼亚和前萨尔科佩尼亚

Liudmila M Shuliko¹, Dmitry A Svarovsky^1,2, Liudmila V Spirina^1,2

¹Division of Biochemistry and Molecular Biology, Siberian State Medical University, Ministry of Health of the Russian Federation, 634050 Tomsk, Russia.

Frontiers in bioscience (Landmark edition)

|September 8, 2025

概括

整合临床,免疫和细胞外囊 (EV) 标记器有助于萨科佩尼亚分层. 人工智能 (AI) 改善了患者聚类,以进行个性化管理和预测萨科佩尼亚疾病进展.

科学领域:

老年学是指老年学的学科.
生物标志物发现发现
免疫学免疫学免疫学

背景情况:

肉症是肌肉损失的多因素状况,由于缺乏整合性生物标志物,因此存在诊断挑战.
由于其病理生理学的复杂性, Sarcopenia 的早期识别和描述受到阻碍.

研究的目的:

在sarcopenia阶段全面描述临床,免疫,细胞外囊泡 (EV) 和生化标志物.
阐明生物梯度和识别潜在的生物标志物,用于诊断和进展.

主要方法:

使用EWGSOP2标准将前性队列研究 (n=45-85岁) 分类为对照,前性或性.
多层次分析包括临床评估,免疫细胞的流细胞计 (例如CD14,CD163),EV分析 (四素,MMPs) 和生物化学测定.
使用克鲁斯卡尔-瓦利斯,差别分析和主要成分分析 (PCA) 分析数据.

主要成果:

PCA确定了四个集群:ECM降解,炎症性巨细胞,代谢干扰和基于EV的标记物.
膀和免疫标记物显示出显著的分类潜力,检测了在前缩症中代谢不稳定和炎症.
慢性炎症 (CD14+CD163+206+细胞),蛋白质分解失衡和代谢障碍有助于肌肉消耗.

结论:

综合临床,免疫和EV标志物有效地分层了sarcopenia.
电子细胞和巨细胞的形状反映了在肉症中发生的系统性变化和代谢应激.
人工智能 (AI) 增强了患者聚类,以实现个性化管理,疾病预测和改善诊断可靠性.

关键词:

作为一个prosin.细胞外囊泡中的细胞外囊泡.巨细胞是什么?巨细胞是什么?矩阵金属蛋白质酶是一种金属蛋白质.这是一种类似流星的蛋白质.单细胞 (Monocytes) 是一种单细胞.蛋白质酶是一种蛋白质酶.这种类型的麻症是sarcopenia.维特罗尼克丁 (Vitronectin) 是一种葡萄素.α1-抗素是一种α1-抗素.

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