作为习惯饮食的读数,便代谢物捕捉了饮食与肠道微生物群的相互作用
Robert Pope1, Alessia Visconti1,2, Xinyuan Zhang1
1Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Nature communications
|December 4, 2025
概括
便代谢产物,即肠道代谢产物,可以准确预测饮食和疾病风险. 这些代谢物揭示了复杂的饮食微生物群相互作用,为个性化的健康干预提供了洞察力.
科学领域:
- 人类肠道微生物组研究研究
- 代谢学和营养科学
- 计算生物学 计算生物学
背景情况:
- 饮食和肠道微生物组合有着复杂的相互作用.
- 便代谢物提供了对宿主微生物代谢相互作用的见解.
- 了解这些相互作用对于预防饮食相关疾病至关重要.
研究的目的:
- 调查便代谢物对饮食摄入量和模式的预测能力.
- 评估便代谢物与动脉样硬化心血管疾病 (ASCVD) 风险之间的关联.
- 探索便代谢物,肠道微生物组成和饮食之间的关系.
主要方法:
- 来自大型队列的便代谢学,代谢基因组学和饮食数据的整合 (TwinsUK,ZOE PREDICT1).
- 应用机器学习模型来预测饮食摄入量和遵守饮食模式.
- 统计分析以确定代谢物,食品组,微生物多样性和物种之间的关联.
主要成果:
- 便代谢物准确预测了20个食物组的摄入量 (AUC>0.80) 和遵守7种饮食模式 (AUC0.710.83).
- 便代谢组是ASCVD风险 (AUC = 0.86) 的更强的预测因素,而不是标准的饮食评分 (AUC = 0.66).
- 在食物组和代谢物之间发现了414个关联,与微生物多样性和物种组成相关.
结论:
- 便代谢物作为饮食和疾病风险的可靠生物标志物.
- 代谢物调解饮食和肠道微生物组之间的关系.
- 这些发现有助于更好地了解饮食与微生物群的相互作用,并为基于代谢物的健康策略提供信息.
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