用生物信息分析和机器学习算法识别电治疗风湿性关节炎的诊断生物标志物
Yijun Sun1, Guoqi Dong1, Hui Gao1
1School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Journal of pain research
|July 10, 2025
概括
电针 (EA) 通过识别ARHGAP17和VEGFB作为关键生物标志物,有效治疗类风湿性关节炎 (RA). 在动物模型中,EA治疗对这些生物标志物产生积极影响,并改善RA症状.
科学领域:
- 生物医学研究的研究.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 类风湿性关节炎 (RA) 是一种具有复杂分子机制的慢性炎症性疾病.
- 电针 (EA) 显示了RA的治疗潜力,但其潜在的分子通路尚未完全理解.
研究的目的:
- 用生物信息学和机器学习来识别RA的诊断生物标志物.
- 阐明EA在RA治疗中的分子标.
主要方法:
- 对于RA患者和EA治疗的RA患者,利用了基因表达综合 (GEO) 数据集.
- 应用了 LASSO,随机森林和 SVM-REF 机器学习算法来识别生物标志物.
- 经验证的生物标志物表达和EA的影响使用完整的弗洛恩德辅助剂 (CFA) 诱导的鼠类RA模型和定量实时PCR.
主要成果:
- 在EA治疗后确定了26个差异表达的基因.
- 在多个队列中,将ARHGAP17和VEGFB作为强大的RA诊断生物标志物 (AUC > 0.75) 的融合识别.
- 在CFA诱导的RA小鼠中,EA治疗改善了疼痛反应,并提高了ARHGAP17和VEGFB的表达.
结论:
- 成功确定ARHGAP17和VEGFB作为RA的潜在诊断生物标志物.
- 在动物模型中证明了EA对这些生物标志物的有利监管效应.
- 这些发现为基于EA的RA治疗提供了新的治疗目标.
相关概念视频
01:28Methods of Classification and Identification
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
01:25Rapid Identification of Pathogens
MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
01:24Automated Microbial Diagnostics
Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...