MP10-17 CHARACTERIZATION OF THE URINARY MICROBIOME IN AFFECTED AND NON-AFFECTED KIDNEYS OF RENAL STONE FORMERS

Abstract

You have accessJournal of UrologyStone Disease: Basic Research & Pathophysiology II (MP10)1 Apr 2020MP10-17 CHARACTERIZATION OF THE URINARY MICROBIOME IN AFFECTED AND NON-AFFECTED KIDNEYS OF RENAL STONE FORMERS Catherine Ingram*, Jason Scovell, Richard Link, Samit Soni, Sreedhar Mandayam, and Wesley Mayer Catherine Ingram*Catherine Ingram* More articles by this author , Jason ScovellJason Scovell More articles by this author , Richard LinkRichard Link More articles by this author , Samit SoniSamit Soni More articles by this author , Sreedhar MandayamSreedhar Mandayam More articles by this author , and Wesley MayerWesley Mayer More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000830.017AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The microbiome consists of commensal bacteria that reside in a variety of organ systems. The urinary microbiome exists across several disease states including nephrolithiasis. The impact of the microbiome on renal stone formation remains unknown and a comparison between affected (stone-forming) and unaffected kidneys has not been performed. We characterized the microbiome composition in renal stone formers in the upper and lower tracts in the largest sample size evaluation to date. METHODS: We obtained IRB approval at Baylor College of Medicine. All subjects were provided informed consent prior to ureteroscopic laser lithotripsy. Prior to the administration of perioperative antibiotics, urine samples were obtained from the bladder and bilateral kidneys (affected and non-affected), and a fragment of the stone was collected. Information regarding subject age, gender, and type of stone was abstracted. DNA was extracted and 16S rDNA (V4 region) was PCR amplified and the amplicon pool was sequenced on the Illumina MiSeq. Sequencing reads were mapped to the current SILVA database to determine sample taxonomies. Data analysis was performed in R (v1.2.5) and ATIMA (CMMR). RESULTS: A total of 38 samples from 11 subjects had sufficient sequence depth and were included for analysis. These samples include 12 affected kidneys, 9 unaffected kidneys, 9 bladders, and 8 stones. There was no difference in alpha-diversity (diversity within the same patient) between sample site (p=0.56) including no difference between affected and non-affected kidneys. Principal component analysis determined that differences in beta-diversity (diversity between different patients) were due in part by patient origin (p=0.001) and patient gender (p=0.03). Hierarchal clustering of family level data identified 7 pertinent urotypes (Figure 1). There was no difference in urotype by site or age (p>0.05). CONCLUSIONS: We report the largest urinary microbiome evaluation in renal stone formers to date. This data is the first to demonstrate that major differences do not exist between stone-forming and non-stone-forming renal units. Larger studies will be helpful in understanding the importance of the urinary microbiome in renal stone disease. Source of Funding: None. © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e132-e132 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Catherine Ingram* More articles by this author Jason Scovell More articles by this author Richard Link More articles by this author Samit Soni More articles by this author Sreedhar Mandayam More articles by this author Wesley Mayer More articles by this author Expand All Advertisement PDF downloadLoading ...