Evidence map›Paper›PMID 42836569›Full record

ReviewImmunity, inflammation and disease2026

Tripartite Interplay of Epithelial, Immune, and Microbiota Dysregulation in Crohn's Disease: Mechanisms and Translational Strategies.

Qing Lai, Qing-Yun Zhang, Wei-Peng Yang, Chun-Ying Luo

Abstract readReview
In one paragraph

Review in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qing LaiClinical Medicine Department, Youjiang Medical University for Nationalities, Baise, Guangxi, China.ORCID https://orcid.org/0009-0009-4281-4655
Qing-Yun ZhangClinical Medicine Department, Youjiang Medical University for Nationalities, Baise, Guangxi, China.ORCID https://orcid.org/0009-0006-7428-7034
Wei-Peng YangDepartment of Pathology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.ORCID https://orcid.org/0009-0000-5765-0184
Chun-Ying LuoDepartment of Pathology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.ORCID https://orcid.org/0009-0006-1373-1074

Funding

Guangxi Natural Science Foundation Project 2020GXNSFAA259052The Joint Special Plan Project of Regional Frequently Encountered Diseases of Baise City 20224104
6 · The paper itself

Abstract

backgroundCrohn's disease (CD) is a multifactorial inflammatory bowel disease (IBD) characterized by impaired epithelial barrier integrity, excessive immune hyperactivation, and gut microbiota perturbations. Cumulative evidence supports the role of the intestinal epithelial barrier, immune system and gut microbiota in the progression of CD.

objectiveThis review constructs a mechanistic framework of the epithelial-immune-microbiota tripartite network in CD with a focus on positive‑feedback circuits sustaining persistent intestinal inflammation. KEY

findingsInterrelated pathological loops involving barrier injury, immune activation and microbial dysbiosis perpetuate chronic intestinal inflammation and provide a rationale for mechanism‑guided combinatorial therapeutic interventions.

conclusionsThis framework illuminates key pathogenic crosstalk that may be targeted to optimize future treatment regimens for CD.

Indexed as

Crohn DiseaseDysbiosisGastrointestinal MicrobiomeIntestinal MucosaAnimalsHumansIntestinal Barrier FunctionCrohn's diseaseepithelial barrier dysfunctiongut microbial dysbiosisimmune dysregulationprecision therapy

Identifiers

PMID42836569
PMCPMC13640524

What OpenQuestion holds

Textmetadata
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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.