Effects of green tea consumption on human fecal microbiota with special reference to Bifidobacterium species

作者
Jong‐Sik Jin,M. Touyama,Takayoshi Hisada,Yoshimi Benno
出处
期刊:Microbiology and Immunology [Wiley]
卷期号:56 (11): 729-739 被引量:153
标识
DOI:10.1111/j.1348-0421.2012.00502.x
摘要

Green tea is one of the most popular beverages in the world. Its beneficial health effects and components have been extensively reviewed. However, little is known about the influence of green tea consumption on the human intestinal microbiota (HIM), which plays a crucial role in human health. Ten volunteers who did not usually consume green tea, drank it for 10 days and then stopped drinking it for 7 days. Their fecal samples were collected at three time points: before beginning the 10-day green-tea regime, at the conclusion of that 10 days, and 7 days after stopping the regime. Their fecal samples were analyzed by terminal restriction fragment length polymorphism with specific primer-restriction enzyme systems for HIM and by using a real-time PCR method for the Bifidobacterium species. Although the HIM of each subject was relatively stable, the proportion of Bifidobacterium species played an important role in the classification of their fecal microbiota. Although there were inter-individual differences in the Bifidobacterium species, an overall tendency for the proportion of bifidobacteria to increase because of green tea consumption was noted. However, little change was observed in the composition of Bifidobacterium species in each sample. This suggests that the change in proportion was induced, not by an inter-species transition, but by an intra-species increase and/or decrease. In conclusion, green tea consumption might act as a prebiotic and improve the colon environment by increasing the proportion of the Bifidobacterium species.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
自然的湘完成签到,获得积分10
1秒前
2秒前
今后应助科研通管家采纳,获得10
2秒前
xuan发布了新的文献求助10
2秒前
辰12完成签到 ,获得积分10
2秒前
xuan应助科研通管家采纳,获得10
2秒前
无敌大裤衩完成签到,获得积分20
3秒前
我是老大应助科研通管家采纳,获得10
3秒前
Akim应助科研通管家采纳,获得10
3秒前
Z11完成签到,获得积分10
3秒前
lixinglei应助科研通管家采纳,获得20
3秒前
CodeCraft应助科研通管家采纳,获得10
3秒前
丰富语蕊应助尊敬涵双采纳,获得10
3秒前
NexusExplorer应助科研通管家采纳,获得10
3秒前
完美世界应助科研通管家采纳,获得10
3秒前
科目三应助科研通管家采纳,获得10
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
共享精神应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
星辰大海应助氧气瑞采纳,获得10
4秒前
v0id应助六六采纳,获得10
5秒前
5秒前
5秒前
潇洒发布了新的文献求助10
5秒前
隐形曼青应助科研通管家采纳,获得10
5秒前
5秒前
搜集达人应助典雅胜采纳,获得10
5秒前
Ava应助112233采纳,获得10
6秒前
6秒前
脑洞疼应助qiu采纳,获得10
6秒前
大模型应助陆帅帅他大伯采纳,获得10
6秒前
6秒前
6秒前
小和完成签到,获得积分10
6秒前
张XX完成签到,获得积分10
7秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582222
求助须知:如何正确求助?哪些是违规求助? 9161271
关于积分的说明 19602325
捐赠科研通 7164426
什么是DOI,文献DOI怎么找? 3266122
关于科研通互助平台的介绍 2431004
邀请新用户注册赠送积分活动 2257312