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综合生物信息学-机器学习-实验验证确定了牛皮和牛皮性关节炎中共享的免疫调节标,并破译了素的治疗机制

Wenke Ma¹, Changsheng Wei², Zitong Guan¹

¹Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.

Naunyn-Schmiedeberg's archives of pharmacology

|December 17, 2025

概括

牛皮和牛皮性关节炎的免疫调节障碍涉及关键基因CXCL10,ISG15和IFI27. 大大大大大

科学领域:

免疫学和计算生物学
自身免疫性疾病的研究.
药理学和药物发现

背景情况:

免疫系统功能障碍是牛皮 (PSO) 和牛皮性关节炎 (PsA) 的核心原因.
确定共同的治疗点对于治疗这些相关的自身免疫性疾病至关重要.
现有的治疗方法往往有局限性,需要新的治疗策略.

研究的目的:

确定PSO和PSA的共享免疫调节目标.
预测和验证这些疾病的潜在治疗方法.
阐明已识别的候选药物的作用机制.

主要方法:

利用转录组数据,WGCNA和PPI网络来找到关键的基因.
应用机器学习 (随机森林,LASSO) 和ROC曲线用于基因识别和诊断评估.
使用scRNA-seq,分子对接,模拟和RT-qPCR来验证目标和药物机制.

主要成果:

鉴定出CXCL10,ISG15和IFI27是关键的枢纽基因,这些基因富含免疫细胞.
大 (Allium sativum),特别是素,被预测为一种潜在的治疗药物.
阿利通过NF-κB抑制表现出稳定地与标结合,并调节基因表达.

结论:

CXCL10,ISG15和IFI27是PSO和PsA的主要免疫治疗点.
阿利因通过抑制NF-κB信号传递,显示出作为治疗剂的潜力.
这项研究为开发针对自身免疫性疾病的基于素的治疗提供了基础.

关键词:

生物信息学是一种生物信息学.牛皮的病症是什么牛皮关节炎牛皮关节炎

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