MP69-02 THE IMPACT OF RECURRENT URINARY TRACT INFECTION AND UROBIOME ECOLOGY ON THE URINARY METABOLOME

• DOI: 10.1097/01.ju.0001008892.86171.de.02
• Publication Date: 2024-04-15T21:33:57Z
• Authors: Michael L. Neugent; Neha V. Hulyalkar; Kevin C. Lutz; Qiwei Li; Philippe E. Zimmern; Vladimir Shulaev; Nicole J. De Nisco
• Keywords: Metabolome

You have accessJournal of UrologyInfections/Inflammation/Cystic Disease the Genitourinary Tract: Kidney & Bladder I (MP69)1 May 2024MP69-02 THE IMPACT OF RECURRENT URINARY TRACT INFECTION AND UROBIOME ECOLOGY ON METABOLOME Michael L. Neugent, Neha V. Hulyalkar, Kevin C. Lutz, Qiwei Li, Philippe E. Zimmern, Vladimir Shulaev, and Nicole J. De Nisco NeugentMichael Neugent , HulyalkarNeha Hulyalkar LutzKevin Lutz LiQiwei Li ZimmernPhilippe Zimmern ShulaevVladimir Shulaev NiscoNicole View All Author Informationhttps://doi.org/10.1097/01.JU.0001008892.86171.de.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION OBJECTIVE: Host microbial factors underlying recurrent urinary tract infection (rUTI) susceptibility remain unclear. The female hosts a resident microbiome (urobiome) that is thought protect against uropathogen colonization; however, it unknown how urobiome composition affected by chemical environment tract. Here, we use urine metabolomics metagenomic sequencing controlled, cross-sectional cohort postmenopausal women identify metabolites associated with rUTI taxonomic composition. METHODS: Clean catch midstream was collected from (n=75) divided into three groups based on history current UTI status. We previously performed whole genome (WGMS) yield profiles. In matched samples, targeted liquid chromatography mass spectrometry (LC-MS/MS) profile using Biocrates Quant 500 assay Xevo TQ-S tandem quadrupole LC-MS/MS system (Waters). per manufacturer's standard operating procedures validated MRM transitions for quantification >600 analytes. Wilcoxon rank sum test used screen differential between groups. RESULTS: Significant differences in metabolome no lifetime those presenting an active, culture-confirmed were observed. Discriminating included strong enrichment putrescine several ceramide dihydroceramide species, including Cer(d18:2/16:0), Cer(d18:1/16:0), Dh-Cer(d18:0/16:0), active patients, while enriched dicarboxylic acids DiCA 14:0 12:0. further identified discriminatory metabolic features urobiomes dominated protective Lactobacillus species (>20% relative abundance), 3 ceramides (d18:1/20:0, d18:2/20:0, d18:1/20:0), cholesterol ester 14:0, 2 acylcarnitines (C16 C14:1-OH), Taurine. CONCLUSIONS: Here present novel associations utilizing WGMS These may provide critical insight interactions microbiota as well serve biomarkers urologic disease be development new diagnostic platforms. Source Funding: This work supported Welch Foundation (AT- 2030-20200401) National Institutes Health (1R01DK131267-01) N.J.D. (1F32DK128975-01A1) M.L.N. also Felicia John Cain Distinguished Chair Women's P.E.Z © 2024 American Urological Association Education Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e1118 Advertisement Copyright Permissions© Inc.Metrics Information More articles this author Expand PDF downloadLoading ...