小儿结肠炎症性肠病中初级因弗利西马布失效:使用加拿大前队列开发蛋白质组学预测模型
Amanda Ricciuto1,2,3, Andrei L Turinsky4, Anne M Griffiths1,5
1Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada.
Inflammatory bowel diseases
|February 11, 2026
概括
使用未经治疗的样本的血清蛋白质学模型准确地预测了儿科炎症性肠病中对infliximab的初级无反应. 这种方法有助于早期治疗药物监测和个性化治疗策略.
科学领域:
- 生物标志物和奥米克.
- 儿科胃肠病学 儿科胃肠病学
- 免疫学 免疫学 免疫学
背景情况:
- 在儿科炎症性肠病 (IBD) 中预测对infliximab (IFX) 的初级不反应 (PNR) 对于有效治疗至关重要.
- 早期治疗药物监测可以优化IFX治疗并改善患者的治疗结果.
- 血清蛋白质组学为开发IFX响应的预测模型提供了一个潜在的途径.
研究的目的:
- 开发和验证一种基于血清蛋白质组学的模型,用于预测儿科结肠IBD中的PNR到IFX.
- 利用蛋白质学评估早期,主动治疗药物监测的实用性.
- 为了比较未接受过治疗的血清样本与接受过治疗的血清样本的信息性.
主要方法:
- 儿科患者有性结肠炎,IBD未分类或结肠类克罗恩病的潜在队列.
- 在IFX前收集的血清样本使用奥林克炎症/免疫反应面板进行了分析.
- 建立了一个通用线性模型 (GLM) 机器学习模型,并使用交叉验证进行评估,并通过SHAP分析评估特征重要性.
主要成果:
- 与其他模型相比,使用未经治疗的血清的GLM模型表现出优异的预测性能 (AUC ~ 0.75).
- 该模型确定了21种蛋白质,其中CSF1和ITM2A是PNR的最高预测因素.
- 剂量前的IFX水平在响应者和不响应者中都是相似的,突出显示了超出药物水平的预测生物标志物的需要.
结论:
- 应用于未经治疗的样本的血清蛋白质学线性模型在预测儿科IBD中的PNR到IFX方面是有效的.
- 诊断/预治疗窗口对于理解治疗反应背后的生物机制至关重要.
- 外部验证是必要的,但研究结果支持蛋白质组学在指导个性化IFX疗法测序方面的潜力.
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