Abstract

You have accessJournal of UrologyInfections/Inflammation of the Genitourinary Tract: Interstitial Cystitis1 Apr 2013873 CORRELATING GENE EXPRESSION PROFILES IN BLADDER UROTHELIUM WITH CLINICAL AND HISTOLOGICAL PARAMETERS FOR PATIENTS WITH INTERSTITIAL CYSTITIS/BLADDER PAIN SYNDROME David Koslov, Brandy Hood, Tristan Keys, Stephen Walker, Robert Evans, Gopal Badlani, and Karl-Erik Andersson David KoslovDavid Koslov Winston Salem, NC More articles by this author , Brandy HoodBrandy Hood Winston Salem, NC More articles by this author , Tristan KeysTristan Keys Winston Salem, NC More articles by this author , Stephen WalkerStephen Walker Winston Salem, NC More articles by this author , Robert EvansRobert Evans Winston Salem, NC More articles by this author , Gopal BadlaniGopal Badlani Winston Salem, NC More articles by this author , and Karl-Erik AnderssonKarl-Erik Andersson Winston Salem, NC More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.442AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The exact mechanisms for the etiology and pathophysiology of Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) remain unknown. Clinical diagnosis is mainly symptom based, but some tissue and urine based markers has been reported. A means of relating clinical symptomatology and diagnostic test results (cystoscopy, bladder biopsy) with markers of disease severity is desirable. The objective of this pilot study was to correlate symptom severity and operative findings of non-ulcer type IC/BPS with urothelial gene expression profiles. METHODS Bladder urothelium samples were collected from patients at our institution and stored at −20oC in 250 μL RNAlater® in our prospectively maintained tissue bank. At the time of tissue collection, patients completed O'Leary Sant and PUF questionnaires. Bladder capacity during hydrodistension and cystoscopic findings were recorded, and urothelial mast cell counts were also obtained. Four groups, based on clinical and histological parameters, were chosen for analysis: 1) low bladder capacity, high O'Leary Sant/PUF symptom score, mast cell count between 35-75 cells/hpf; 2) normal capacity, high symptom score, mast cell count between 22-25 cells/hpf; 3) normal capacity, high symptom score, mast cell count between 36-50 cells/hpf, and severe glomerulations; and 4) patients undergoing cystectomy for end stage IC/BPS. Control samples (group 5) came from patients without IC/BPS. Biopsy tissues were homogenized and mRNA was extracted and purified using the Qiagen® mRNeasy kit. Gene expression profiles for each of 16 samples (3 in each group 1-3 and control; 4 in Group 2) were generated using Agilent G3 Human GE 8x60k microarrays; statistical analyses were conducted to identify correlations and differential gene expression within and between these groups. RESULTS Principal component analysis on unfiltered data indicated distinct grouping of gene expression profiles for patients in group 4 whereas groups 1-3 showed significant overlap with the control group (Figure). CONCLUSIONS Gene expression profiles seem to be a promising tool for subcategorizing IC/BPS patients and may give valuable pathophysiological information. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e360 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information David Koslov Winston Salem, NC More articles by this author Brandy Hood Winston Salem, NC More articles by this author Tristan Keys Winston Salem, NC More articles by this author Stephen Walker Winston Salem, NC More articles by this author Robert Evans Winston Salem, NC More articles by this author Gopal Badlani Winston Salem, NC More articles by this author Karl-Erik Andersson Winston Salem, NC More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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