Evidence map›Paper›PMID 41423748›Full record

ReviewIET systems biology

Gut Microbiome and Paediatric Inflammatory Bowel Disease: Emerging Mechanistic and Therapeutic Insights Into Pathogenesis and Microbiota-Based Approaches.

Chu Wang, Dong Zhan

Abstract readReview
In one paragraph

Review in IET systems biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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

2 authors.

Chu WangDepartment of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Dong ZhanDepartment of Human Anatomy, School of Basic Medical Sciences, Kunming Medical University, Kunming, China.ORCID 0000-0001-9540-3715

Funding

The Joint Project of Kunming Medical University and Science and Technology Agency 202101AY070001-049Yunnan Fundamental Research Projects 202101AT070199Yunnan Revitalization Talent Support Program XDYC-QNRC-2022-0293
6 · The paper itself

Abstract

The gut microbiome is crucial for paediatric intestinal development and holds therapeutic potential for inflammatory bowel disease (IBD). This review explores the link between gut microbiome dysbiosis and paediatric IBD pathogenesis. Microbial colonisation during early developmental windows establishes immune tolerance, reinforces epithelial barrier integrity and regulates metabolic functions. Dysbiosis contributes to disease through reduced beneficial microbial metabolites, impaired mucosal barriers and aberrant immune activation. Distinct dysbiosis signatures in paediatric patients correlate with clinical phenotypes and treatment responses, suggesting potential biomarkers. Emerging therapies include targeted nutritional therapies, designed microbial consortia, microbiota transplantation and tailored diets. By correcting underlying microbial imbalances, these approaches may offer more sustainable disease control with fewer side effects than conventional anti-inflammatory treatments. However, challenges persist, such as limited paediatric cohort sizes, a lack of causal mechanistic data and variability in microbiome profiles due to diet, geography and developmental stage. Future research requires larger longitudinal studies to develop paediatric-specific interventions that restore microbial equilibrium, ultimately transforming IBD management in children.

Indexed as

Gastrointestinal MicrobiomeInflammatory Bowel DiseasesChildDysbiosisHumansbiochemistrybiologydiseases

Identifiers

PMID41423748
PMCPMC12719241

What OpenQuestion holds

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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.