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长期饮食质量与肠道微生物组功能:一项针对中国城市成年人的前瞻性鸟枪法宏基因组学研究。

Long-term Diet Quality and Gut Microbiome Functionality: A Prospective, Shotgun Metagenomic Study among Urban Chinese Adults.

作者信息

Yu Danxia, Yang Yaohua, Long Jirong, Xu Wanghong, Cai Qiuyin, Wu Jie, Cai Hui, Zheng Wei, Shu Xiao-Ou

机构信息

Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.

出版信息

Curr Dev Nutr. 2021 Apr 2;5(4):nzab026. doi: 10.1093/cdn/nzab026. eCollection 2021 Apr.

DOI:10.1093/cdn/nzab026
PMID:33937616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8068758/
Abstract

BACKGROUND

Diet is known to affect human gut microbiome composition; yet, how diet affects gut microbiome functionality remains unclear.

OBJECTIVE

We compared the diversity and abundance/presence of fecal microbiome metabolic pathways among individuals according to their long-term diet quality.

METHODS

In 2 longitudinal cohorts, we assessed participants' usual diets via repeated surveys during 1996-2011 and collected a stool sample in 2015-2018. Participants who maintained a healthy or unhealthy diet (i.e., stayed in the highest or lowest quintile of a healthy diet score throughout follow-up) were selected. Participants were excluded if they reported a history of cancer, cardiovascular disease, diabetes, or hypertension; had diarrhea or constipation in the last 7 d; or used antibiotics in the last 6 mo before stool collection. Functional profiling of shotgun metagenomics was performed using HUMAnN2. Associations of dietary variables and 420 microbial metabolic pathways were evaluated via multivariable-adjusted linear or logistic regression models.

RESULTS

We included 144 adults (mean age = 64 y; 55% female); 66 had an unhealthy diet and 78 maintained a healthy diet. The healthy diet group had higher Shannon α-diversity indexes of microbial gene families and metabolic pathways (both < 0.02), whereas β-diversity, as evaluated by Bray-Curtis distance, did not differ between groups (both > 0.50). At < 0.01 [false discovery rate (FDR) <0.15], the healthy diet group showed enriched pathways for vitamin and carrier biosynthesis (e.g., tetrahydrofolate, acetyl-CoA, and l-methionine) and tricarboxylic acid (TCA) cycle, and increased degradation (or reduced biosynthesis) of certain sugars [e.g., cytidine monophosphate (CMP)-legionaminate, deoxythymidine diphosphate (dTDP)-l-rhamnose, and sucrose], nucleotides, 4-aminobutanoate, methylglyoxal, sulfate, and aromatic compounds (e.g., catechol and toluene). Meanwhile, several food groups were associated with the CMP-legionaminate biosynthesis pathway at FDR <0.05.

CONCLUSIONS

In a small longitudinal study of generally healthy, older Chinese adults, we found long-term healthy eating was associated with increased α-diversity of microbial gene families and metabolic pathways and altered symbiotic functions relevant to human nutrition and health.

摘要

背景

已知饮食会影响人体肠道微生物群的组成;然而,饮食如何影响肠道微生物群的功能仍不清楚。

目的

我们根据个体的长期饮食质量,比较了粪便微生物群代谢途径的多样性和丰度/存在情况。

方法

在2个纵向队列中,我们通过1996 - 2011年期间的重复调查评估参与者的日常饮食,并在2015 - 2018年收集粪便样本。选择保持健康或不健康饮食的参与者(即在整个随访期间处于健康饮食评分的最高或最低五分位数)。如果参与者报告有癌症、心血管疾病、糖尿病或高血压病史;在过去7天内有腹泻或便秘;或在收集粪便前的最后6个月内使用过抗生素,则将其排除。使用HUMAnN2对鸟枪法宏基因组学进行功能分析。通过多变量调整的线性或逻辑回归模型评估饮食变量与420种微生物代谢途径的关联。

结果

我们纳入了144名成年人(平均年龄 = 64岁;55%为女性);66人饮食不健康,78人保持健康饮食。健康饮食组微生物基因家族和代谢途径的香农α多样性指数较高(均 < 0.02),而通过布雷 - 柯蒂斯距离评估的β多样性在两组之间没有差异(均 > 0.50)。在 < 0.01 [错误发现率(FDR)< 0.15]时,健康饮食组显示维生素和载体生物合成(如四氢叶酸、乙酰辅酶A和L - 甲硫氨酸)以及三羧酸(TCA)循环的途径丰富,某些糖类[如胞苷单磷酸(CMP) - 军团菌酸、脱氧胸苷二磷酸(dTDP) - L - 鼠李糖和蔗糖]、核苷酸、4 - 氨基丁酸、甲基乙二醛、硫酸盐和芳香族化合物(如儿茶酚和甲苯)的降解增加(或生物合成减少)。同时,在FDR < 0.05时,几个食物组与CMP - 军团菌酸生物合成途径相关。

结论

在一项针对一般健康的中国老年成年人的小型纵向研究中,我们发现长期健康饮食与微生物基因家族和代谢途径的α多样性增加以及与人类营养和健康相关的共生功能改变有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/10c62e94080e/nzab026fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/a0f60a48c5e2/nzab026fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/27be1802368c/nzab026fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/10c62e94080e/nzab026fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/a0f60a48c5e2/nzab026fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/27be1802368c/nzab026fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61cd/8068758/10c62e94080e/nzab026fig1.jpg

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