- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00971568
Urinary Biomarkers Characteristic to Interstitial Cystitis
Urinary Biomarkers Characteristic to Interstitial Cystitis- Proteomic Analysis of Urine
This is a retrospective study of urine samples stored in the Beaumont BioBank for future research. The urine samples will be drawn from the urine back with patients previously diagnosed with severe interstitial cystitis (IC), mild IC and no IC.
Interstitial Cystitis (IC) also known as Painful Bladder Syndrome (PBS) is a chronic inflammatory disease. It has an unknown etiology, symptoms which present to varying degrees, as well as an uncertain natural history. Diagnosis of IC is based on symptoms after excluding more common and dangerous pathologies.
Study Overview
Status
Conditions
Detailed Description
Extensive research has been done to understand the multifactorial etiology as well as to help diagnose IC. Infectious, autoimmune and anatomic causes have been looked at with few usable results. Inflammatory cells and markers have been more productive. Recently we have shown in the rat model, that chemically induced inflammation, yields temporal increases in measurable cytokines and chemokines in the urine. Moreover, this was done by Multiplex analysis, using a multiple antigen bead assay (Luminex).
Cytokines and chemokines, part of an organisms proteome, allow for looking at the function of a cell or organ at the time of the collection United States: Institutional Review Board. Urine is obtained non-invasively and yields significant information about urinary tract organs. The ability to find a biomarker or pattern of biomarker in the urine, diagnostic to a disease, offers significant advantages over serum or tissue diagnosis.
We hope to identify patterns of inflammatory markers using proteomic analysis using the previously mentioned multiple antigen cassettes (Luminex) as well as identify possible new biomarkers using a Protein Chip SELDI--TOF (surface enhanced laser desorption ionisation-time of flight) mass spectrometer. The detection of patterns or new biomarkers has promise to help with diagnosis, treatment, and ultimately revealing the etiology and course of IC.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Michigan
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Royal Oak, Michigan, United States, 48073
- Beaumont Hospitals-Royal Oak
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients who have previously been contacted and consented to place a sample within the biobank. We will select five representative patients from the severe IC diagnosis, mild IC diagnosis, and no IC diagnosis, and we will match these patients as best as possible within the limited biobank samples.
Exclusion Criteria:
- None
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Urine sample
To prepare for SELDI-TOF we will use 15 samples.
Each sample (25ul) will be analyzed with the Luminex 100 IS (MiraiBio, South San Francisco, CA) using a LINCOplex cytokine/che-
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
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Using a ProteinChip SELDI--TOF (surface enhanced laser desorption ionisation-time of flight) mass spectrometer, we will analyze previously collected urine samples from matched patients with severe IC, mild IC and controls without disease.
Time Frame: 1 month
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1 month
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Michael Chancellor, MD, Beaumont Hospitals
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2009-163
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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