肠道微生物组的特征预测了5-ASA在性结肠炎中的有效性
Yan Dang1, Xinyi Xu1, Jiuyue Ma1
1Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, State Key Laboratory of Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing, China.
iScience
|June 13, 2025
概括
某些肠道细菌可以预测性结肠炎 (UC) 患者是否会对5 - 氨基酸 (5-ASA) 治疗有反应. 识别这些微生物特征可能有助于个性化UC治疗,以获得更好的结果.
科学领域:
- 胃肠病学 胃肠病学
- 微生物组研究 微生物组研究
- 计算生物学 计算生物学
背景情况:
- 性结肠炎 (UC) 影响全球数以百万计的人,治疗成功有限.
- 一线5-氨基酸 (5-ASA) 治疗在超过50%的UC患者中失败.
- 预测UC的治疗反应对于有效管理至关重要.
研究的目的:
- 确定肠道微生物特征,预测UC中的5-ASA治疗疗效.
- 开发一个对5-ASA治疗不响应的预测模型.
- 探索肠道微生物组在UC治疗结果中的作用.
主要方法:
- 接受5-ASA治疗的活跃UC患者的潜在招募.
- 用于分类学和功能性分析的枪支元基因组测序.
- 随机森林建模以根据微生物物种预测治疗反应.
主要成果:
- 在基线确定了明确的微生物特征,将响应者与非响应者区分开来.
- 在没有反应的人群中,Faecalibacterium prausnitzii,Blautia massiliensis和Phascolarctobacterium faecium被耗尽了.
- 一个预测模型在识别可能接受无效5-ASA治疗的患者方面取得了高准确性 (AUC=0.80-0.82).
结论:
- 肠道微生物组组成可以预测UC患者的5-ASA治疗疗效.
- 特定的细菌物种可以作为治疗反应的非侵入性生物标志物.
- 基于微生物的预测可以指导UC的个性化治疗策略.
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