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Paneth cell phenotype as a predictive biomarker for ulcerative colitis

潘氏细胞表型作为溃疡性结肠炎的预测生物标志物

基本信息

批准号：
10682400
负责人：
Ta-Chiang Liu
金额：
$ 36.16万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-24 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10682400
关键词：
Affect Anastomosis - action Anus Biological Markers Caring Cell physiology Cellular Morphology Chronic Classification Clinical Clinical Trials Colectomy Collaborations Combinatorial Synthesis Complex Cost Measures Crohn&apos s disease Data Development Disease Disease Management Disease remission Economic Burden Epithelial Cells Excision Genetic Genetic Markers Genetic Predisposition to Disease Goals Grant Ileal Reservoirs Image Inflammatory Inflammatory Bowel Diseases Interobserver Variability Longterm Follow-up Manuals Medical center Methods Molecular Molecular Target Monitor Morphology Mucous Membrane Natural History Natural Immunity Observer Variation Paneth Cells Pathologist Pathology Pathway interactions Patients Phenotype Positioning Attribute Postoperative Period Pouchitis Prevalence Process Prognosis Prognostic Marker Public Health Reproducibility Research Research Personnel Role Sampling Serum Serum Markers Small Intestines Specimen Standardization Subgroup Surgical Pathology Testing Therapeutic Time Tissues Translating Ulcerative Colitis Universities Washington Work aggressive therapy analysis pipeline cell type clinical practice clinically relevant cohort deep learning deep learning algorithm dysbiosis experience experimental study gastrointestinal gene environment interaction genetic association gut homeostasis improved innate immune function innovation insight intestinal epithelium novel novel strategies outcome prediction patient stratification personalized medicine phenotypic biomarker predictive marker treatment strategy

项目摘要

ABSTRACT One of the challenges for the management of ulcerative colitis (UC; a subtype of inflammatory bowel disease) is the lacking of a predictive biomarker that can help stratify patients for personalized treatment strategies. We have previously shown that in Crohn’s disease (CD; another subtype of inflammatory bowel disease), the morphologic phenotype of small intestinal Paneth cells readily predicts outcome in post-surgical CD patients. Given the shared genetic etiology and clinical features between CD and UC, we hypothesize that Paneth cell phenotype will also predict outcome in UC. Our long-term goal is to define the clinical indications of inflammatory bowel disease of which Paneth cell phenotype can predict outcome. The objective of this grant is to determine to the extent of which Paneth cell phenotype predicts development of ileal complications in UC. The central hypothesis is that in UC patients undergoing total colectomy and ileal pouch anal anastomosis (IPAA), the Paneth cell phenotype obtained at time of colectomy will predict development of pouchitis and de novo CD in the ileal pouch. Our rationale is that Paneth cell phenotype will offer better outcome prediction over current practice. Our specific aims will test the following hypotheses: (Aim1) Paneth cell phenotype correlates with ileal complications in UC patients with IPAA; (Aim 2) Deep learning will reduce observer variation and enhance rigor and reproducibility of Paneth cell phenotype analysis in surgical pathology specimens, and also identify novel clinical factors that correlate with Paneth cell function; (Aim 3) Serum markers that correlate with Paneth cell phenotype could be used to predict outcome in UC. Upon conclusion, we will understand the role for Paneth cell function in modulating disease course in IBD. This contribution is significant since it will establish Paneth cell phenotype as a critical predictive biomarker for IBD. The proposed research is innovative because we use state-of-the-art deep learning approach to build an imaging analysis pipeline, and to identify novel clinical factors that affect Paneth cell functions. Identifying how epithelial cells with innate immune function affect disease course will provide insight into other inflammatory disorders.

摘要