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Project Specific Aims

Aim 1

Use mass spectrometry to identify unique metabolomic and proteomic biomarkers of urinary frequency and urgency symptoms in men. Patient urine will be collected from men with an AUA frequency + urgency score >7 while on alpha blockers and from matched controls with no history of significant LUTS. Mass spectrometry (MS) and bioinformatics approaches will be used to identify metabolomic and proteomic biomarkers whose presence/absence is associated with LUTS.

Aim 2

Test the hypothesis that expression of LUTS-associated biomarkers normalizes in human patients surgically treated for LUTS. Patient urine will be collected from men with an AUA frequency + urgency score >7 while on alpha blockers before and after surgery for LUTS. MS and bioinformatics approaches will be used to identify the subset of LUTS-associated metabolomic and proteomic biomarkers that normalize in expression upon the successful treatment of LUTS.

Aim 3

Test the hypothesis that human LUTS urinary biomarkers are altered in the urine of mice with bacterial-induced prostatic inflammation or hormone-induced urinary obstruction. Urine metabolomic and proteomic biomarkers for human LUTS will be interrogated in a previously-established model of bacterial prostatitis based on C3H/HeOuJ mice infected with uropathogenic E. coli 1677. Urine metabolomic and proteomic biomarkers for human LUTS will be interrogated in a previously-established model for hormone-induced urinary tract obstruction in C57Bl/6 mice. Bioinformatics will be used to determine the sub-type(s) of human LUTS that share similar biomarker profiles to each mouse model.


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