Evidence map›Paper›PMID 33072135›Full record

ArticleFrontiers in immunology2020

A Holistic View of Berberine Inhibiting Intestinal Carcinogenesis in Conventional Mice Based on Microbiome-Metabolomics Analysis.

Haitao Chen, Fan Zhang, Jin Zhang, Xinjie Zhang, Yong Guo, Qinghua Yao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
8.8field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 109 citations in OpenAlex.

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  20. Nutrients · 2022
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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

6 authors at 2 institutions in 1 country.

Haitao ChenThe First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Fan ZhangThe First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Jin ZhangThe First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Xinjie ZhangThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Yong GuoDepartment of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Qinghua YaoDepartment of Integrated Traditional Chinese and Western Medicine, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Zhejiang Chinese Medical University · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Berberine (BBR) has been reported that it has effects on inhibiting colorectal cancer (CRC). However, the mechanism of BBR on CRC also remains largely unknown. Herein, we investigated the therapeutic effects of BBR on CRC from the perspective of gut microbiota and metabolic alterations, which can provide a holistic view to understand the effects of BBR on CRC. First, azoxymethane (AOM)/dextran sodium sulfate (DSS) mouse was used as CRC animal model, then the degree of colorectal carcinogenesis in AOM/DSS mice with or without BBR administration was measured. The composition and abundance of gut microbiota was investigated by using 16S rRNA. Meanwhile, feces samples were analyzed with

Indexed as

AnimalsAnticarcinogenic AgentsAzoxymethaneBerberineCarcinogenesisColonColorectal NeoplasmsDextran SulfateDisease Models, AnimalFecesFemaleGastrointestinal MicrobiomeMetabolomicsMice, Inbred C57BLAnticarcinogenic AgentsAzoxymethaneBerberineDextran Sulfateberberinecolorectal cancergut microbiotametabolitesNMR-based metabolomics

Identifiers

PMID33072135
PMCPMC7541814
OpenAlexW3089079312

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.