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Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis Jay Kim, PhD Cedars-Sinai Medical Center UCLA *Confidential information included Urinary Metabolite Profiling Combined with


  1. Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis Jay Kim, PhD Cedars-Sinai Medical Center UCLA *Confidential information included

  2. Urinary Metabolite Profiling Combined with Computational Analysis Suggest Interstitial Cystitis-Associated Candidate Biomarkers

  3. Interstitial Cystitis • A chronic syndrome of unknown etiology • Very common bladder disease among old generation (more than one out of 77 people in USA) • Affects quality of life, productivity and work performance—Public health burden • Elmiron, the first FDA-approved oral drug for IC, shows unfavorable side effects • Need for new medication for IC • Need for objective and clinically relevant indicators

  4. IC-Associated Mechanistic Signaling Network 1: The Frizzled 8-Associated Antiproliferative Factor Enhances p53 Stability Through USP2a and MDM2 APF USP2a MDM2 p53 Interstitial Cystitis

  5. IC-Associated Mechanistic Signaling Network 2: SILAC ratio Mock APF CTNNB1 0.69 JUP 0.70 EGFR 0.77 CAPN2 0.69 STAT3 0.56 ITGB1 1.40 F3 1.42 PTGS2 1.79 1.86 NDRG1 1.02 ACTB Direct activation Direct repression Indirect activation Physical interaction

  6. IC-Associated Mechanistic Signaling Network 3: Integration Analysis of Quantitative Proteomics and Transcriptomics Data Identifies Potential Targets of Frizzled-8 Protein-related Antiproliferative Factor In Vivo A C Gamper method 1794 164 3256 Our method 1957 probe sets 5050 probe sets Up:1188 Up:2636 Inflammation pathways Down:769 Down:2414 1.TCR signaling pathway; 2.BCR signaling pathway; 3.Fc  RI signaling pathway; 4.TLR signaling pathway; Our method:FDR ≤ 0.01, Fold>1.40 5.Antigen processing and presen 6.Leukocyte transendothelial mig Gamper’s method:FDR ≤ 0.01, Fold>2.00 B Ulcer/ Non-u 10 11 2 5 7 9 12 14 13 15 4 Healthy Non-ulcer tissue

  7. ‘OMICS’ Approaches to Understand Intersitital Cystitis More ‘OMICS’ Profiles using the Cutting-Edge Technology are needed

  8. Differentiation of IC patients and healthy control groups using multivariate analysis

  9. A volcano plot showing differentially expressed metabolites in IC patients.

  10. Network modeling derived from IC-associated metabolites

  11. Differential network in IC is identified with multilevel local graphical model

  12. Acknowledgements • NIDDK/NIH 1R01DK100974 • NIDDK/NIH 1UO1 DK103260 • Department of Defense (W81XWH-15-1-0415) • Centers for Disease Controls and Prevention (1U01DP006079) • Steven Spielberg Discovery Fund Research Career Development Award • U24 DK097154 • UCLA CTSI UL1TR000124 • Interstitial Cystitis Association (ICA) Pilot grant • Fishbein Family IC Research Foundation • New York Academy of Medicine • Children’s Hospital Boston Faculty Development • J.K. is an IMAGINE NO IC Scholar, American Urological Association Foundation Research Scholar and an Eleanor and Miles Shore Scholar of Harvard Medical School.

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