Interstitial cystitis/painful bladder syndrome/bladder pain syndrome (IC/PBS/BPS; hereafter IC) is a vexing and heterogeneous lower urinary tract disorder, currently defined by the International Continence Society as: an unpleasant sensation (pain, pressure, discomfort) perceived to be related to the urinary bladder, associated with lower urinary tract symptoms of more than six weeks duration, in the absence of infection or other identifiable causes. Diagnostic criteria have also been set forth by the National Institute of Diabetes, Digestive, and Kidney Diseases (NIDDK) and the European Society for Study of Interstitial Cystitis (ESSIC). Criteria from each of these organizations differ slightly, which renders the projected incidence and prevalence numbers of IC variable. This diagnostic uncertainty is further confounded by the overlap of IC with other functional pain syndromes including fibromyalgia, irritable bowel syndrome, chronic prostatitis/chronic pelvic pain, and vuvlodynia (sometimes confused with pain of bladder etiology), which have been posited to have similar pathophysiology. A method to quickly categorize/diagnose IC patients in a clinically relevant way that also predicts response to treatment would be a real clinical asset in that the most appropriate, patient-specific, therapy could be initiated early on in the process. Having biomarkers that define a specific IC subtype(s) could greatly facilitate diagnosis and treatment. The use of molecular tools, like gene expression profiling in relevant tissues, provides a feasible and effective approach for the identification of these biomarkers. We hypothesize that patients with IC can be categorized into clinically relevant groups based on the correlation of symptoms and/or clinical findings to gene expression profiles from patient bladder biopsy tissue. We further hypothesize that these biomarkers may be predictive, prognostic, and/or diagnostic. We will test these hypotheses by correlating subgroups of IC patients, designated based initially on bladder capacity, with gene expression profiles of those subgroups (Specific Aim 1). We will also correlate bladder tissue gene expression profiles with peripheral blood gene expression within the same IC patients to determine whether the peripheral blood harbors a clinically useful biomarker for IC sub-grouping (Specific Aim 2).

Public Health Relevance

The lack of clear understanding of the heterogeneous disorder called interstitial cystitis (IC) or bladder pain syndrome, and the lack of sensitive and specific biomarkers for IC makes diagnosis and treatment very challenging. It is not uncommon for IC patients to receive a diagnosis of IC and yet fail to respond to a multitude of treatment approaches before their symptoms can be adequately managed. It would be highly clinically useful to be able to sub-type IC patients, based on their likely response to a particular treatment at the outset and then initiate patient-specific treatment using an evidence-based approach. The goals of this proposal, designed to develop such a tool, are twofold: (1) to correlate anesthetized bladder capacity of IC patients, specifically patients with low (<400 mL) capacity, with gene expression profiles from bladder biopsy tissue, to identify and confirm the underlying pathophysiology and also to identify a clinically useful biomarker and, (2) to determine, from gene expression profiling of peripheral blood from the same IC patients, if there is a sensitive and specific biomarker for IC in blood that can be used to facilitate diagnosis and rational treatment.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21DK106554-02
Application #
9115595
Study Section
Special Emphasis Panel (ZRG1-DKUS-G (55))
Program Officer
Bavendam, Tamara G
Project Start
2015-08-01
Project End
2017-07-31
Budget Start
2016-08-01
Budget End
2017-07-31
Support Year
2
Fiscal Year
2016
Total Cost
$193,750
Indirect Cost
$68,750
Name
Wake Forest University Health Sciences
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
937727907
City
Winston-Salem
State
NC
Country
United States
Zip Code
27157