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定义一种表达蔬菜和水果摄入量的饮食模式及其与肠道微生物群的关系。

Definition of a Dietary Pattern Expressing the Intake of Vegetables and Fruits and Its Association with Intestinal Microbiota.

机构信息

Innovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.

Innovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki 036-8562, Japan.

出版信息

Nutrients. 2023 Apr 27;15(9):2104. doi: 10.3390/nu15092104.


DOI:10.3390/nu15092104
PMID:37432274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10181458/
Abstract

Daily dietary habits directly or indirectly influence the intestinal microbiota, and the resulting changes in its composition and metabolic activity alter the health conditions of the host. Although many studies have analyzed the association between individual nutrients/food items and intestinal microbiota, the assessment of the diet and intestinal microbiota from a macroscopic perspective has not yet been performed in Japan. Therefore, we focused on vegetables and fruits and aimed to identify dietary patterns of high intake of these foods and to examine their relationship with the intestinal microbiota. This cross-sectional study included 1019 healthy individuals aged ≥20 years in a rural area in northern Japan. Six dietary patterns were detected by factor analysis using the brief-type self-administered diet history questionnaire (BDHQ) data to identify the "vege pattern", which was the dietary pattern rich in vegetables and fruits. Permutational multivariate analysis of variance revealed changes in β-diversity according to dietary patterns. In multivariable-adjusted models, the adherence to the vege pattern was positively correlated with α-diversity. This is the first study to reveal a correlation between intestinal microbiota and dietary habits rich in vegetables and fruits in a rural area of Japan.

摘要

日常饮食习惯会直接或间接地影响肠道微生物群,其组成和代谢活性的变化会改变宿主的健康状况。虽然许多研究已经分析了单个营养素/食物与肠道微生物群之间的关联,但在日本,还没有从宏观角度评估饮食和肠道微生物群。因此,我们关注蔬菜和水果,旨在确定这些食物高摄入量的饮食模式,并研究它们与肠道微生物群的关系。本横断面研究纳入了日本北部农村地区 1019 名年龄≥20 岁的健康个体。使用简短型自我管理饮食史问卷(BDHQ)数据通过因子分析检测到 6 种饮食模式,以确定“蔬菜模式”,即富含蔬菜和水果的饮食模式。基于置换的多变量方差分析显示,饮食模式的改变与β多样性有关。在多变量调整模型中,坚持蔬菜模式与α多样性呈正相关。这是首次在日本农村地区揭示富含蔬菜和水果的饮食与肠道微生物群之间相关性的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/1cea8fdb1290/nutrients-15-02104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/eb12e6652492/nutrients-15-02104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/b8c91b3dcef8/nutrients-15-02104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/f14af0753222/nutrients-15-02104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/1cea8fdb1290/nutrients-15-02104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/eb12e6652492/nutrients-15-02104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/b8c91b3dcef8/nutrients-15-02104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/f14af0753222/nutrients-15-02104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a626/10181458/1cea8fdb1290/nutrients-15-02104-g004.jpg

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Definition of a Dietary Pattern Expressing the Intake of Vegetables and Fruits and Its Association with Intestinal Microbiota.

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[9]
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引用本文的文献

[1]
A Swedish dietary guideline index, gut microbial α-diversity and prevalence of metabolic syndrome - observations in the Swedish CArdioPulmonary bioImage Study (SCAPIS).

Food Nutr Res. 2024-11-28

本文引用的文献

[1]
Dietary Patterns and Associations with Myopia in Chinese Children.

Nutrients. 2023-4-18

[2]
Social innovation for life expectancy extension utilizing a platform-centered system used in the Iwaki health promotion project: A protocol paper.

SAGE Open Med. 2021-3-19

[3]
The Role of Gut Microbiota in the High-Risk Construct of Severe Mental Disorders: A Mini Review.

Front Psychiatry. 2021-1-12

[4]
What is the scientific definition of the Japanese diet from the viewpoint of nutrition and health?

Nutr Rev. 2020-12-1

[5]
The Influence of Probiotics on the Firmicutes/Bacteroidetes Ratio in the Treatment of Obesity and Inflammatory Bowel disease.

Microorganisms. 2020-11-1

[6]
Depression in Individuals Coinfected with HIV and HCV Is Associated with Systematic Differences in the Gut Microbiome and Metabolome.

mSystems. 2020-9-29

[7]
Gut Microbiota Associations with Metabolic Health and Obesity Status in Older Adults.

Nutrients. 2020-8-7

[8]
Interaction between microbiota and immunity in health and disease.

Cell Res. 2020-6

[9]
Influence of Diet and Nutrition on Prostate Cancer.

Int J Mol Sci. 2020-2-20

[10]
Potential Role of Gut Microbiota in Induction and Regulation of Innate Immune Memory.

Front Immunol. 2019-10-25

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