Evidence map›Paper›PMID 39456970›Full record

ArticleInternational journal of molecular sciences2024

Inflammation, Gut Microbiota, and Metabolomic Shifts in Colorectal Cancer: Insights from Human and Mouse Models.

Chengcong Yang, Wusigale, Lijun You, Xiang Li, Lai-Yu Kwok, Yongfu Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
  2. Cells · 2026
    Article
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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.

Chengcong YangKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.
WusigaleKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.
Lijun YouKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.
Xiang LiKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.
Lai-Yu KwokKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yongfu ChenKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot 010018, China.

Funding

Inner Mongolia Autonomous Region Higher Education Institutions Innovation Team Development Plan NMGIRT2220Inner Mongolia Autonomous Region Key R&D Plan Project 2022YFHH0060
6 · The paper itself

Abstract

Colorectal cancer (CRC) arises from aberrant mutations in colorectal cells, frequently linked to chronic inflammation. This study integrated human gut metagenome analysis with an azoxymethane and dextran sulfate sodium-induced CRC mouse model to investigate the dynamics of inflammation, gut microbiota, and metabolomic profiles throughout tumorigenesis. The analysis of stool metagenome data from 30 healthy individuals and 40 CRC patients disclosed a significant escalation in both gut microbiota diversity and abundance in CRC patients compared to healthy individuals (

Indexed as

Colorectal NeoplasmsDisease Models, AnimalGastrointestinal MicrobiomeInflammationAgedAnimalsDextran SulfateDysbiosisFecesFemaleHumansMaleMetabolomeMetabolomicsMiceMiddle AgedDextran Sulfateazoxymethanebiomarkersdextran sulfate sodiummicrobial dysbiosisstool metagenome analysistumor development

Identifiers

PMID39456970
PMCPMC11508446

What Socratic 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 Socratic graph.