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Microbial Patterns in Newly Diagnosed Inflammatory Bowel Disease Revealed by Presence and Transcriptional Activity-Relationship to Diagnosis and Outcome
Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway; Innlandet Hospital Trust, Gjøvik, Norway.
Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Section for Clinical Molecular Biology (Epigen), Akershus University Hospital, Lørenskog, Norway.
Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway.
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2025 (English)In: Clinical and Experimental Gastroenterology, E-ISSN 1178-7023, Vol. 18, p. 103-119Article in journal (Refereed) Published
Abstract [en]

Background: As part of the IBD Character initiative, we examined an inception cohort and investigated mucosal microbiota composition and transcriptional activity in relation to clinical outcomes.

Methods: A cohort of 237 individuals were included from five countries: Crohn's disease (CD, n = 72), ulcerative colitis (UC, n = 57), symptomatic non-IBD controls (SC, n = 78) and healthy controls (HC, n = 30). Rectal/colonic biopsies were obtained at inclusion, and DNA and RNA were extracted from the same biopsy and examined by sequencing the 16S rRNA V4 region.

Results: Beta diversity measurements separated IBD from both HC and SC. IBD and SC exhibited reduced intra-individual diversity compared with HC. When comparing taxonomy at DNA and RNA level, six bacteria were found to differ in abundance and/or transcriptional activity between IBD and symptomatic control, while there were 14 and three between symptomatic control and CD and UC, respectively. A limited number of bacterial taxa were responsible for the largest difference between presence and activity, separating patients and controls. Multiple bacterial taxa were associated with treatment escalation in both UC and CD. Machine-learning models separated IBD from symptomatic controls and treatment escalators from non-escalators (AUC >0.8). However, the differential effects were mainly driven by clinical biomarkers, such as f-calprotectin, s-albumin, and b-hemoglobin.

Conclusion: Differences between presence and transcriptional activity were found among multiple taxa when assessing 16S rRNA at DNA and RNA level. Symptomatic controls were more similar to the IBD patients compared to HC. The analyses suggest that the mucosal microbiota carries a moderate diagnostic and predictive potential, outcompeted by f-calprotectin.

Place, publisher, year, edition, pages
Dove Medical Press, 2025. Vol. 18, p. 103-119
Keywords [en]
microbiota, RNA, DNA, IBD, biomarkers
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Gastroenterology and Hepatology
Identifiers
URN: urn:nbn:se:oru:diva-121422DOI: 10.2147/CEG.S504459ISI: 001494899700001PubMedID: 40491932OAI: oai:DiVA.org:oru-121422DiVA, id: diva2:1963298
Note

The study was funded by the following EU FP7 grant: IBD-CHARACTER (contract #2858546). PR, SV and SHH were funded by South-Eastern Norway Regional Health Authority (project numbers 2014011, 2018001 and 2020066) .

Available from: 2025-06-03 Created: 2025-06-03 Last updated: 2025-06-11Bibliographically approved

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Bergemalm, DanielHalfvarson, Jonas

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