Project description:Little is known about the factors that predispose patients to complications after an ileal pouch-anal anastomosis procedure (IPAA). Our goal is to establish a registry that prospectively captures pre- and post-surgical data from participants. Retrospective studies concerning IPAA outcomes and will be conducted using these data.

| 2081764 | ecrin-mdr-crc

Fecal continence outcomes are associated with the type, height, and stage procedure of ileal pouch-anal anastomosis.

Project description: Not available

| S-EPMC7415023 | biostudies-literature

Novel prognostic biomarkers of pouchitis after ileal pouch-anal anastomosis for ulcerative colitis: Neutrophil-to-lymphocyte ratio.

Project description: Not available

| S-EPMC7588073 | biostudies-literature

Volvulus of the ileal pouch-anal anastomosis: a meta-narrative systematic review of frequency, diagnosis, and treatment outcomes.

Project description: Not available

| S-EPMC6911998 | biostudies-literature

Multiphasic analysis of the temporal development of the distal gut microbiota in patients following ileal pouch anal anastomosis.

Project description: Not available

| S-EPMC3971607 | biostudies-literature

Microarray analysis from paired biopsies from ileal pouch-anal anastomosis surgery patients with ulcerative colitis and familial adenomatous polyposis

Project description:Pouchitis is a common complication for ulcerative colitis (UC) patients with ileal pouch-anal anastomosis (IPAA) surgery. Similarly to IBD, both innate host factors such as genetics, and environmental stimuli including the tissue-associated microbiome have been implicated in the pathogenesis. In this study, we make use of the IPAA model of inflammatory bowel disease (IBD) to carry out a study associating mucosal host gene expression with the microbiome and corresponding clinical outcomes. In order to determine how host gene expression might influence, or be influenced by the tissue associated microbiome, we analyzed 205 IPAA patients with biopsies collected from the pouch and afferent limb for host transcriptomics and 16S rDNA gene sequencing. Metadata included antibiotic use, inflammation score, and clinical classification. To achieve power for a genome-wide microbiome-transcriptome association study, we used principal component analysis to reduce OTUs and host transcripts to eigengenes and eigenclades explaining 50% of observed variance. These were subsequently tested for significant covariation with one another and/or outcome using multivariate linear modeling.

2015-01-27 | E-GEOD-65270 | biostudies-arrayexpress

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