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与炎症性肠病相比,机器学习在免疫检查点抑制性结肠炎中识别出了独特的微生物群特征

Brigida Barberio¹, Ilaria Patuzzi², Luisa Bertin¹

¹Gastroenterology Unit, Department of Surgery, Oncology and Gastroenterology, University Hospital of Padova, Padova 35100, Italy.

|November 17, 2025

概括

独特的肠道微生物签名区分免疫检查点抑制剂 (ICI) -结肠炎与炎症性肠病 (IBD) 和健康对照. 机器学习有效地识别了这些独特的微生物模式,帮助诊断和管理ICI结肠炎.

科学领域:

在瘤学瘤学.
微生物组研究的研究.
免疫学免疫学免疫学

背景情况:

免疫检查点抑制剂 (ICI) 已经改变了癌症治疗,但可以导致免疫媒介的不良事件,如结肠炎.
免疫检查点抑制剂 (ICI) -结肠炎与炎症性肠病 (IBD) 有共同特征,包括克罗恩病 (CD) 和性结肠炎 (UC).
肠道微生物群与ICI-结肠炎和IBD的病原发生有关.

研究的目的:

确定一个独特的肠道微生物群概况,使ICI-结肠炎与IBD和健康对照区分开来.
评估机器学习在分析微生物群数据中对疾病分类的有用性.

主要方法:

前性和历史性队列研究,涉及患有ICI结肠炎,IBD (UC/CD) 和HCs的患者.
便样本的16S rRNA基因测序,以分析肠道微生物群的组成和多样性.
应用机器学习算法 (sPLS-DA,随机森林) 来识别微生物特征.

主要成果:

在ICI-结肠炎和IBD组之间观察到阿尔法和β多样性的显著差异,但在HCs中没有.
鉴定出了明显的微生物模式,在ICIs-colitis中存在较高的Enhydrobacter和UC中存在较高的Bifidobacterium longum.
机器学习模型成功地根据微生物群概况区分了ICI-结肠炎,IBD和HC.

结论:

一个独特的肠道微生物群特征标志着ICI-结肠炎.
结合机器学习的微生物群分析对诊断和管理ICI-结肠炎显示出前途.
在更大的队列中进一步验证和治疗影响的探索是有必要的.

关键词:

克罗恩氏病是什么克罗恩氏病是什么免疫检查点抑制剂结肠炎炎症性肠病是一种炎症性肠病.机器学习是机器学习.我们的微生物群.性结肠炎是一种

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