Evidence map›Paper›PMID 29750437›Full record

ArticleMolecular nutrition & food research2018

Green Tea Liquid Consumption Alters the Human Intestinal and Oral Microbiome.

Xiaojie Yuan, Yong Long, Zhaohua Ji, Jie Gao, Ting Fu, Min Yan, Lei Zhang, Haixia Su, Weilu Zhang, Xiaohui Wen and 7 more

Abstract read
In one paragraph

Article in Molecular nutrition & food research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Effect of Garambullo (International journal of molecular sciences · 2026
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Xiaojie YuanDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Yong LongDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Zhaohua JiDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Jie GaoDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Ting FuDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Min YanDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Lei ZhangDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Haixia SuDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Weilu ZhangDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Xiaohui WenDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Zhongshu PuDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Hui ChenDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Yufei WangDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Xu GuDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Binyuan YanDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.
Kanakaraju KaliannanLaboratory for Lipid Medicine and Technology, Department of Medicine, 149 13th Street, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02129, USA.
Zhongjun ShaoDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an, Shannxi, 710032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

scopeGTPs (green tea polyphenols) exert anti-CRC (colorectal cancer) activity. The intestinal microbiota and intestinal colonization by bacteria of oral origin has been implicated in colorectal carcinogenesis. GT modulates the composition of mouse gut microbiota harmonious with anticancer activity. Therefore, the effect of green tea liquid (GTL) consumption on the gut and oral microbiome is investigated in healthy volunteers (n = 12). METHODS AND

results16S sequencing and phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis of both fecal and saliva samples (collected before intervention, after 2 weeks of GTL (400 mL per day) and after a washout period of one week) in healthy volunteers show changes in microbial diversity and core microbiota and difference in clear classification (partial least squares-discriminant analysis [PLS-DA]). An irreversible, increased FIR:BAC (Firmicutes to Bacteroidetes ratio), elevated SCFA producing genera, and reduction of bacterial LPS synthesis in feces are discovered in response to GTL. GTL alters the salivary microbiota and reduces the functional pathways abundance relevance to carcinogenesis. Similar bacterial networks in fecal and salivary microbiota datasets comprising putative oral bacteria are found and GTL reduces the fecal levels of Fusobacterium. Interestingly, both Lachnospiraceae and B/E (Bifidobacterium to Enterobacteriacea ratio-markers of colonization resistance [CR]) are negatively associated with the presence of oral-like bacterial networks in the feces.

conclusionThese results suggest that GTL consumption causes both oral and gut microbiome alterations.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaTeaAdultBifidobacteriumFecesFemaleFusobacteriumHealthy VolunteersHumansMaleMiddle AgedRNA, Ribosomal, 16SSalivaRNA, Ribosomal, 16STeaBacteroidetescolorectal cancerFirmicutesgreen teagut microbiomeoral microbiomeshort-chain fatty acids

Identifiers

PMID29750437
PMCPMC6033105

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.