肠道微生物组预测了糖尿病前期饮食纤维的个性化反应:一个随机的,开放的标签试验
Delei Song1, Guangli Feng1,2, Yuhang Ma1
1Department of Endocrinology and Metabolism of Shanghai General Hospital, State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Nature communications
|December 13, 2025
概括
肠道微生物群影响糖尿病前期饮食纤维的有效性. 一个机器学习模型识别了从纤维中受益的个体,从而实现了针对糖尿病预防的个性化微生物组向干预.
科学领域:
- 代谢健康 代谢健康
- 微生物组研究 微生物组研究
- 个性化医疗是个性化的医疗.
背景情况:
- 肠道微生物群在糖尿病前期的进展中发挥着作用.
- 需要大规模的试验来验证微生物群引导的糖尿病预防和治疗.
研究的目的:
- 调查在糖尿病前期患者中食纤维干预的疗效.
- 探索肠道微生物群在预测个人对食纤维反应中的作用.
- 开发一种基于微生物组的模型,用于个性化预防糖尿病.
主要方法:
- 一项为期6个月的随机试验,涉及802名糖尿病前期患者,将食纤维干预与常规护理进行比较.
- 多变量聚类以根据代谢和微生物组特征对受试者进行分层.
- 机器学习 (LightGBM) 开发临床决策得分,用于预测纤维干预反应.
主要成果:
- 总体而言,组之间主要结果 (HbA1c) 没有显著差异.
- 食纤维改善了特定群体 (3和4) 的血糖控制,这些群体具有不同的肠道微生物群样本.
- 一个基于微生物组的得分有效地预测了纤维干预的个体血糖益处.
结论:
- 肠道微生物群的组成影响了糖尿病前期饮食纤维干预措施的有效性.
- 基于微生物组的临床决策得分可以指导个性化,针对微生物组的治疗方法.
- 这种方法为个性化预防糖尿病提供了一种临床上适用的策略.
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