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Urine markers of interstitial cystitis
1Department of Surgery, Division of Urology, Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, Pennsylvania 17033-0850, USA. drerickson@psu.edu
Urology
|May 30, 2001
Summary
Researchers reviewed urine markers for interstitial cystitis (IC), identifying glycoprotein-51 and antiproliferative factor (APF) as key diagnostic indicators. Further research is needed to correlate other markers with disease pathophysiology and treatment response.
Area of Science:
- Urology
- Biomarker Research
- Interstitial Cystitis (IC)
Background:
- Interstitial cystitis (IC) is a chronic condition with complex pathophysiology.
- Current diagnostic methods for IC can be invasive and lack specificity.
- Identifying reliable urine biomarkers is crucial for improving IC diagnosis and management.
Purpose of the Study:
- To review the current state of urine biomarkers for interstitial cystitis (IC).
- To evaluate the potential of urine markers for diagnosing IC, confirming pathophysiology, and predicting treatment response.
- To identify areas requiring further research in IC urine biomarker discovery.
Main Methods:
- Systematic review of MEDLINE-referenced articles on urine alterations in IC.
- Cross-referencing to identify additional relevant studies.
- Tabulation and discussion of identified urine marker alterations.
Main Results:
- Glycoprotein-51 and antiproliferative factor (APF) effectively differentiate IC patients from controls.
- Markers like 1,4-methylimidazole acetic acid and eosinophil cationic protein (ECP) correlate with bladder biopsy findings (mast cell density).
- Interleukin-6 (IL-6) correlates with mononuclear inflammation; various markers show changes post-treatment.
Conclusions:
- Specific urine markers like glycoprotein-51 and APF show diagnostic promise for IC.
- Certain urine markers correlate with IC's underlying bladder pathology.
- Further investigation is necessary to validate these markers for clinical application and treatment monitoring.
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