# Gut Microbiota Alterations and Dysbiosis Patterns in Pediatric Inflammatory Bowel Disease: Clinical Correlations and Therapeutic Impact

**Authors:** Anda-Maria Beca, Roxana Folescu, Adina Teodora Crăciun, Laura Olariu, Ileana Enatescu, Bianca Belei, Oana Belei

PMC · DOI: 10.3390/jcm15041589 · 2026-02-18

## TL;DR

This study explores gut microbiota changes in children with inflammatory bowel disease and finds that these changes are more severe in Crohn's disease and may be influenced by treatment type.

## Contribution

The study introduces a semi-quantitative dysbiosis score and correlates it with clinical metrics in pediatric IBD patients.

## Key findings

- Dysbiosis severity is higher in Crohn’s disease compared to ulcerative colitis.
- Biologic therapy shows a trend toward lower dysbiosis scores.
- Strong correlations exist between dysbiosis scores and microbial indices like the Organism of Interest metric and Gut Microbiota Index.

## Abstract

Background: Gut microbiota alterations are increasingly recognized as key contributors to the development and clinical course of inflammatory bowel disease (IBD), particularly in pediatric patients, in whom microbial maturation and immune regulation are still evolving. Objective: This study aimed to assess intestinal microbiota composition and dysbiosis severity in pediatric IBD, with comparative analyses according to disease phenotype (Crohn’s disease versus ulcerative colitis) and therapeutic strategy (biologic versus non-biologic treatment). Methods: A prospective cohort of 60 pediatric patients diagnosed with IBD based on Porto criteria was evaluated. Fecal samples were obtained at baseline and after three months of combined standard IBD treatment and adjunct microbiota-targeted therapy, and were analyzed using an AI-assisted microbiota profiling platform. A semi-quantitative dysbiosis score was calculated based on the relative abundance of proinflammatory taxa and depletion of short-chain fatty acid (SCFA)-producing bacteria. Microbial parameters were correlated with clinical and therapeutic variables, including the Organism of Interest metric and the Gut Microbiota Index (GMI). Results: Dysbiosis severity was significantly higher in patients with Crohn’s disease compared with ulcerative colitis (9.65 ± 1.44 vs. 8.42 ± 1.88, p = 0.037). Patients receiving biologic therapy showed a trend toward lower dysbiosis scores and improved microbial indices, although statistical significance was not reached. Severe dysbiosis was identified in 46.7% of the cohort. Strong positive correlations were observed between the dysbiosis score, Organism of Interest metric and GMI (r = 0.68–0.72, p < 0.01). Conclusions: Pediatric IBD is associated with a reproducible dysbiotic profile, more pronounced in Crohn’s disease and partially modulated by biologic therapy. The observed correlations between microbiota-derived indices support their potential utility as complementary markers of intestinal microbial imbalance and disease activity.

## Linked entities

- **Diseases:** inflammatory bowel disease (MONDO:0005265), Crohn’s disease (MONDO:0005011), ulcerative colitis (MONDO:0005101)

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** UC (MESH:D003093), immune dysregulation (OMIM:614878), mucosal injury (MESH:D052016), IBD (MESH:D015212), Dysbiosis (MESH:D064806), CD (MESH:D003424), Nutrient deficiencies (MESH:D007153), malabsorption (MESH:D008286), Inflammatory (MESH:D007249), injury to (MESH:D014947)
- **Chemicals:** SCFA (MESH:D005232), infliximab (MESH:D000069285), sodium butyrate (MESH:D020148), steroid (MESH:D013256), fatty acid (MESH:D005227), azathioprine (MESH:D001379), Butyrate (MESH:D002087), Mesalamine (MESH:D019804), aminosalicylates (MESH:D010131), 5-ASA (-)
- **Species:** Actinomycetota (actinobacteria, phylum) [taxon 201174], Bilophila wadsworthia (species) [taxon 35833], Mediterraneibacter torques (species) [taxon 33039], Eubacteriales (order) [taxon 186802], Fusobacterium varium (species) [taxon 856], Agathobacter rectalis (species) [taxon 39491], Enterococcus (genus) [taxon 1350], Eggerthella lenta (species) [taxon 84112], Pseudomonadota (proteobacteria, phylum) [taxon 1224], Bifidobacterium adolescentis (species) [taxon 1680], Bacillota (clostridial firmicutes, phylum) [taxon 1239], Veillonella (genus) [taxon 29465], Enterobacteriaceae (enterobacteria, family) [taxon 543], Shigella (genus) [taxon 620], Bifidobacterium bifidum (species) [taxon 1681], Actinomyces (genus) [taxon 1654], Faecalibacterium prausnitzii (species) [taxon 853], Homo sapiens (human, species) [taxon 9606], Clostridioides difficile (species) [taxon 1496], Metamycoplasma hominis (species) [taxon 2098], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Mediterraneibacter gnavus (species) [taxon 33038], Prevotella (genus) [taxon 838], Bacteroides fragilis (species) [taxon 817], Escherichia coli (E. coli, species) [taxon 562], Haemophilus parainfluenzae (species) [taxon 729], Clostridium perfringens (species) [taxon 1502], Akkermansia muciniphila (species) [taxon 239935], Bifidobacterium longum (species) [taxon 216816], Faecalibacterium (genus) [taxon 216851]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12941501/full.md

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Source: https://tomesphere.com/paper/PMC12941501