Fu Yuanqing, Gou Wanglong, Zhong Haili, Tian Yunyi, Zhao Hui, Liang Xinxiu, Shuai Menglei, Zhuo Lai-Bao, Jiang Zengliang, Tang Jun, Ordovas Jose M, Chen Yu-Ming, Zheng Ju-Sheng
Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China; Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, School of Medicine and School of Life Sciences, Westlake University, Hangzhou, China.
Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, School of Medicine and School of Life Sciences, Westlake University, Hangzhou, China.
EBioMedicine. 2025 Jan;111:105483. doi: 10.1016/j.ebiom.2024.105483. Epub 2024 Dec 7.
The interplay between diet and gut microbiome substantially influences host metabolism, but uncertainties remain regarding their relationships tailored for each subject given the huge inter-individual variability. Here we aim to investigate diet-gut microbiome interaction at single-subject resolution and explore its effects on blood glucose homeostasis.
We conducted a series of nutritional n-of-1 trials (NCT04125602), in which 30 participants were assigned high-carbohydrate (HC) and low-carbohydrate (LC) diets in a randomized sequence across 3 pair of cross-over periods lasting 72 days. We used shotgun metagenomic sequencing and continuous glucose monitoring systems to profile the gut microbiome and blood glucose, respectively. An independent cohort of 1219 participants with available metagenomics data are included as a validation cohort.
We demonstrated that the gut microbiome exhibited both intra-individually dynamic and inter-individually personalized signatures during the interventions. At the single-subject resolution, we observed person-specific response patterns of gut microbiota to interventional diets. Furthermore, we discovered a personal gut microbial signature represented by a carb-sensitivity score, which was closely correlated with glycemic phenotypes during the HC intervention, but not LC intervention. We validate the role of this score in the validation cohort and find that it reflects host glycemic sensitivity to the personal gut microbiota profile when sensing the dietary carbohydrate inputs.
Our finding suggests that the HC diet modulates gut microbiota in a person-specific manner and facilitates the connection between gut microbiota and glycemic sensitivity. This study represents a new paradigm for investigating the diet-microbiome interaction in the context of precision nutrition.
This work was supported by the National Key R&D Program of China, National Natural Science Foundation of China and Zhejiang Provincial Natural Science Foundation of China.
饮食与肠道微生物群之间的相互作用对宿主代谢有重大影响,但鉴于个体间存在巨大差异,针对每个个体的二者关系仍存在不确定性。在此,我们旨在以单一个体分辨率研究饮食与肠道微生物群的相互作用,并探索其对血糖稳态的影响。
我们进行了一系列单一个体营养n-of-1试验(NCT04125602),30名参与者在3个为期72天的交叉周期中以随机顺序分别接受高碳水化合物(HC)和低碳水化合物(LC)饮食。我们分别使用鸟枪法宏基因组测序和连续血糖监测系统来分析肠道微生物群和血糖。将1219名有宏基因组学数据的独立队列参与者作为验证队列。
我们证明,在干预期间,肠道微生物群表现出个体内动态变化和个体间个性化特征。在单一个体分辨率下,我们观察到肠道微生物群对干预饮食的个体特异性反应模式。此外,我们发现了一个以碳水化合物敏感性评分表示的个人肠道微生物特征,该特征在HC干预期间与血糖表型密切相关,但在LC干预期间则不然。我们在验证队列中验证了该评分的作用,发现它反映了宿主在感知饮食碳水化合物输入时对个人肠道微生物群谱的血糖敏感性。
我们的研究结果表明,HC饮食以个体特异性方式调节肠道微生物群,并促进肠道微生物群与血糖敏感性之间的联系。这项研究代表了在精准营养背景下研究饮食与微生物群相互作用的一种新范式。
本研究得到了中国国家重点研发计划、国家自然科学基金和浙江省自然科学基金的支持。