Evidence map›Paper›PMID 24828543›Full record

ArticleScientific reports2014

Dynamic microbe and molecule networks in a mouse model of colitis-associated colorectal cancer.

Xujun Liang, Huiying Li, Geng Tian, Shao Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Xujun Liang1] MOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China [2].
Huiying Li1] MOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China [2].
Geng TianCenter of Biomedical Analysis, Tsinghua University, Beijing 100084, China.
Shao Li1] MOE Key Lab of Bioinformatics, Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China [2] School of Medicine/School of Life Sciences, Tsinghua University, Beijing 100084, China.
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial colonisation of the gut is involved in the development of colitis-associated colorectal cancer. However, it remains unclear how the gut microbiota dynamically shifts correlating with colorectal carcinogenesis. Here, we reveal the longitudinal shifts in the microbial community that occur with colitis-associated colorectal cancer. High-throughput sequencing results for the bacterial 16S rRNA gene (V3 region) were compared for azoxymethane/dextran sodium sulphate-treated mice and control mice. We found that microbial community structure was significantly altered by chronic colitis. Microbes in the species Streptococcus luteciae, Lactobacillus hamster, Bacteroides uniformis and Bacteroides ovatus were increased during colorectal carcinogenesis. Histological measurements for a molecular network including six interconnected key factors from inflammation to cancer, namely p65, p53, COX-2, PPARγ, CCR2 and β-catenin, indicated that the microbiome modifications were correlated with molecular pathogenesis of colitis-associated colorectal cancer. Phylotype modifications after each AOM/DSS cycle were identified. A longitudinal microbial network was then constructed for the gut microbiome and showed that the phylotype shifts during this process were complex and highly dynamic. This work may provide a deeper understanding of the role of the microbiota and microbe-host interactions in colitis-associated colorectal cancer.

Indexed as

AnimalsAzoxymethaneColitisColorectal NeoplasmsDextran SulfateDisease Models, AnimalGastrointestinal TractInflammationMaleMiceMice, Inbred BALB CRNA, Ribosomal, 16SAzoxymethaneDextran SulfateRNA, Ribosomal, 16S

Identifiers

PMID24828543
PMCPMC4021569
OpenAlexW2003412530

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.