Computational Learning of microRNA-Based Prediction of Pouchitis Outcome After Restorative Proctocolectomy in Patients With Ulcerative Colitis.
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...
| Published in: | Inflammatory Bowel Diseases Vol. 27; no. 10; pp. 1653 - 1661 |
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| Main Authors: | , , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Oct2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153224088&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153224088 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10780998 N0V jtl: Inflammatory Bowel Diseases issn: 10780998 maglogo: N pubinfo: dt: Oct2021 vid: 27 iid: 10 pid: 622 pub: Oxford University Press / USA artinfo: ui: 153224088 153224088 153224088 10.1093/ibd/izab030 153224088 ppf: 1653 ppct: 8 formats: tig: atl: Computational Learning of microRNA-Based Prediction of Pouchitis Outcome After Restorative Proctocolectomy in Patients With Ulcerative Colitis. aug: au: Morilla, Ian Uzzan, Mathieu Cazals-Hatem, Dominique Colnot, Nathalie Panis, Yves Nancey, Stéphane Boschetti, Gilles Amiot, Aurélien Tréton, Xavier Ogier-Denis, Eric Daniel, Fanny affil: INSERM U1149, Université de Paris, Centre de Recherche sur l'inflammation, Team Gut Inflammation , Paris, France sug: subj: Colitis, Ulcerative Surgery Ileoanal Reservoir Adverse Effects Pouchitis Risk Factors Chronic Disease Risk Factors Recurrence Risk Factors Risk Assessment MicroRNA Analysis Biological Markers Blood Algorithms Human Retrospective Design Tertiary Health Care France Surgical Patients Neural Networks (Computer) Prospective Studies Prediction Models Descriptive Statistics ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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