在患有异常性炎症性肌肉病的中国患者中,多王国肠道微生物群的表征
Changyan Liu1, Yida Xing1, Jinwen Su2
1Department of Rheumatology, The Second Hospital of Dalian Medical University, No.467, Zhongshan Road, Shahekou District, Dalian, China.
Scientific reports
|January 7, 2026
概括
包括细菌,真菌和病毒在内的肠道微生物组在异常性炎症性肌肉病 (IIM) 中发生显著变化. 这种多王国肠道失生症显示出诊断IIM的潜力,病毒组是关键指标.
科学领域:
- 免疫学 免疫学 免疫学
- 微生物学 微生物学
- 胃肠病学 胃肠病学
背景情况:
- 异形性炎症性肌肉病 (IIM) 是一种自身免疫性疾病,其原因尚不清楚.
- 肠道微生物组在IIM中的作用在很大程度上仍未被探索.
- 肠道微生物群显著影响宿主免疫力.
研究的目的:
- 在IIM患者中全面分析肠道细菌组,真菌组和病毒组.
- 为了识别与IIM相关的微生物特征.
- 探索肠道微生物群对于IIM诊断的潜力.
主要方法:
- 从34名IIM患者和37名健康对照患者的便样本中进行了枪支元基因组测序.
- 进行了分类学,功能,网络和机器学习分析.
- 多个王国肠道微生物群的概况.
主要成果:
- 在IIM患者的细菌,真菌和病毒中观察到显著的变化.
- 与炎症相关的细菌和真菌的丰富,SCFA生产者的枯竭.
- 病毒组显示出大量的转移,在IIM中Sifhoviridae的丰富性增加.
- 多王国网络分析显示,IIM的连接性和真菌中心枢纽增加.
- 机器学习模型表明病毒组是IIM最强的歧视因素 (AUC = 0.997).
结论:
- 本研究介绍了IIM第一个全面的多王国肠道微生物群分析.
- 肠道微生物失调症,特别是涉及病毒组,与IIM密切相关.
- 这些发现为开发IIM的新型诊断和治疗策略提供了基础.
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