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Evaluate Established Anti-DEFA5 mAbs Diagnostic Efficacy and Safety in IBD

Meharry Medical College · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
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inflammatory-bowel-diseaseinflammatory-bowel-diseasesulcerative-colitis
Investigators propose to validate efficacy and safety of the detection of DEFA5 in the diagnosis of the colonic IBD using longitudinal vs. cross-sectional studies of known patient clinical data to correlate with their endoscopy biopsy data. 30% of colonic IBD patients cannot be accurately diagnosed (CC vs. UC) in a timely manner even when a state-of-the-art classification system of combined clinical, endoscopic, radiologic and histologic tools are used. When the diagnostic classification for these two diseases is inconclusive, the condition is termed indeterminate colitis (IC). Here, the central medical challenge is the discrimination of IBD into the specific subtypes with high accuracy, as it greatly effects surgical care of patients. Diagnostic accuracy of IC into either authentic UC or CC is of utmost importance when determining a patient's candidacy for RPC-IPAA surgery, the standard curative surgical procedure for UC. Further, incorrect diagnosis and treatment carry potential morbidity from inappropriate and unnecessary surgery and costs. The success outcomes of RPC-IPAA surgery and convalescence depend on correct diagnosis. To address IBD diagnosis ambiguity and delays in IBD clinical settings, investigators developed a proteomic signature to discriminate between UC and CC patients that also will predict the outcome of IC patients for their eventual progress to either UC or CC. Our published data has shown robust evidence supporting presence of human alpha-defensin 5 (DEFA5) in areas of the colon mucosa with aberrant expression of apparent Paneth cell-like cells (PCLCs) or crypt cell-like cells (CCLCs), which identifies an area of colonic ileal metaplasia, consistent with the diagnosis of CC. DEFA5 bioassay discriminated CC and UC in a cohort of all IC patients with accuracy. A fit logistic model with group CC and UC as the outcome and the DEFA5 as independent variable differentiator with a positive predictive value of 96%. These findings were obtained solely
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