PD20-03 ANALYSIS OF GUT MICROBIOME REVEALS SIGNIFICANT DIFFERENCES BETWEEN MEN WITH CHRONIC PROSTATITIS/CHRONIC PELVIC PAIN SYNDROME AND CONTROLS

Abstract

You have accessJournal of UrologyInfections/Inflammation/Cystic Disease of the Genitourinary Tract: Prostate & Genitalia I1 Apr 2016PD20-03 ANALYSIS OF GUT MICROBIOME REVEALS SIGNIFICANT DIFFERENCES BETWEEN MEN WITH CHRONIC PROSTATITIS/CHRONIC PELVIC PAIN SYNDROME AND CONTROLS Daniel Shoskes, Jessica Altemus, Alan Polackwich, Barbara Tucky, Hannah Wang, and Charis Eng Daniel ShoskesDaniel Shoskes More articles by this author , Jessica AltemusJessica Altemus More articles by this author , Alan PolackwichAlan Polackwich More articles by this author , Barbara TuckyBarbara Tucky More articles by this author , Hannah WangHannah Wang More articles by this author , and Charis EngCharis Eng More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.1416AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Chronic Prostatitis/Chronic Pelvic Pain Syndrome (CPPS) is a common disorder with heterogeneous etiologies and clinical features including GI, psychiatric and neurologic symptoms. The gut microbiome is a metabolically active ecosystem linked to systemic conditions including autoimmunity, GI disorders and alterations in mood and stress (gut-brain axis). We hypothesize that the gut microbiome will show alterations between CPPS patients and controls METHODS We identified CPPS patients (NIH category III) and controls who were either asymptomatic or only had Lower Urinary Tract Symptoms. After rectal exam, the soiled glove tip was immersed in sterile saline and stored on ice. Symptom severity was measured with the NIH-Chronic Prostatitis Symptom Index (CPSI) and clinical phenotype with UPOINT. Total DNA was extracted from the pellet of samples from cases and controls, and from the pellet of clean glove tip-containing saline. MiSeq-sequencing of bacterial-specific 16S-rDNA-capture was performed. Taxonomic and functional bioinformatic analyses were performed using principal coordinate analysis (PCoA), QIIME, LEfSe, and PiCRUSt algorithms RESULTS There were 25 patients and 24 controls with complete data. Mean ages were similar (CPPS 52.3 vs control 57.0 years, p=0.27). For patients, median symptom duration was 48 months, mean CPSI was 26.0 and mean number of UPOINT domains was 3.6. 3D Unifrac PCoA revealed tighter clustering of controls in a space distinct from the wider clustering of cases (corrected P=0.001; a-diversity P=0.001). Compared to controls, 5 operational taxanomic units were over-represented, eg, Varibaculum, and 80 under-represented, eg, Prevotella, in cases. There was a trend in microbiomic differences with the neurologic/systemic phenotype for CPPS patients (p=0.2). Finally, in silico characterization by PiCRUSt showed specific pathways, such as ribosomes and pyrimidine transporters, and purine and thiamine metabolism, were under-expressed in patients CONCLUSIONS CPPS patients have significantly lower alpha diversity of gut microbiome which cluster differently from controls, and higher counts of Varibaculum, with separation sufficient to serve as a potential biomarker. The gut microbiome may serve as both biomarker of disease and potential target for therapy in CPPS. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e451-e452 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Daniel Shoskes More articles by this author Jessica Altemus More articles by this author Alan Polackwich More articles by this author Barbara Tucky More articles by this author Hannah Wang More articles by this author Charis Eng More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...