Article Dans Une Revue Inflammatory Bowel Diseases Année : 2021

Computational Learning of microRNA-Based Prediction of Pouchitis Outcome After Restorative Proctocolectomy in Patients With Ulcerative Colitis

Aurélien Amiot
  • Fonction : Auteur
Fanny Daniel
  • Fonction : Auteur

Résumé

Abstract Background Ileal pouch-anal anastomosis (IPAA) is the standard of care after total proctocolectomy for ulcerative colitis (UC). However, inflammation often develops in the pouch, leading to acute or recurrent/chronic pouchitis (R/CP). MicroRNAs (miRNA) are used as accurate diagnostic and predictive biomarkers in many human diseases, including inflammatory bowel diseases. Therefore, we aimed to identify an miRNA-based biomarker to predict the occurrence of R/CP in patients with UC after colectomy and IPAA. Methods We conducted a retrospective study in 3 tertiary centers in France. We included patients with UC who had undergone IPAA with or without subsequent R/CP. Paraffin-embedded biopsies collected from the terminal ileum during the proctocolectomy procedure were used for microarray analysis of miRNA expression profiles. Deep neural network–based classifiers were used to identify biomarkers predicting R/CP using miRNA expression and relevant biological and clinical factors in a discovery cohort of 29 patients. The classification algorithm was tested in an independent validation cohort of 28 patients. Results A combination of 11 miRNA expression profiles and 3 biological/clinical factors predicted the outcome of R/CP with 88% accuracy (area under the curve = 0.94) in the discovery cohort. The performance of the classification algorithm was confirmed in the validation cohort with 88% accuracy (area under the curve = 0.90). Apoptosis, cytoskeletal regulation by Rho GTPase, and fibroblast growth factor signaling were the most dysregulated targets of the 11 selected miRNAs. Conclusions We developed and validated a computational miRNA-based algorithm for accurately predicting R/CP in patients with UC after IPAA.

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Dates et versions

hal-04948259 , version 1 (14-02-2025)

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Ian Morilla, Mathieu Uzzan, Dominique Cazals-Hatem, Nathalie Colnot, Yves Panis, et al.. Computational Learning of microRNA-Based Prediction of Pouchitis Outcome After Restorative Proctocolectomy in Patients With Ulcerative Colitis. Inflammatory Bowel Diseases, 2021, 27 (10), pp.1653-1660. ⟨10.1093/ibd/izab030⟩. ⟨hal-04948259⟩
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