Mast cells and nerve fibers in interstitial cystitis (IC): an algorithm for histologic diagnosis via quantitative

M A Hofmeister1, F He, T L Ratliff

  • 1Division of Cellular and Molecular Pathology, University of Pittsburgh School of Medicine, Pennsylvania 15213-2582, USA.

Urology
|May 1, 1997
PubMed

Insights

A new diagnostic algorithm for interstitial cystitis (IC) uses mast cell and nerve fiber alterations in bladder tissue. This method helps diagnose IC by analyzing the detrusor to mucosa mast cell ratio and nerve fiber density.

Area of Science:

  • Urology
  • Pathology
  • Immunology

Background:

  • Interstitial cystitis (IC) is a chronic condition characterized by bladder pain and urinary urgency.
  • Current diagnostic methods for IC can be invasive and lack specificity.
  • Alterations in mast cells and nerve fibers are observed in bladder tissue of IC patients.

Purpose of the Study:

  • To develop and validate a diagnostic algorithm for interstitial cystitis (IC).
  • The algorithm is based on quantifying mast cell and nerve fiber changes in bladder tissue.

Main Methods:

  • Quantitative image analysis and morphometry (QIAM) were used to calculate the detrusor to mucosa mast cell ratio (DMMCR).
  • Giemsa staining was employed for mast cell quantification.
  • Immunohistochemical staining for S-100 protein was performed to assess nerve fiber proliferation.

Main Results:

  • Nonclassic IC (NC-IC) showed an average DMMCR of 1.19.
  • Bacille Calmette-Guérin (BCG) cystitis had a DMMCR of 0.84, while normal bladder tissue had a DMMCR of 0.45.
  • Increased nerve fiber presence in the detrusor was observed in IC patients compared to controls and BCG-treated patients.

Conclusions:

  • A diagnostic algorithm is proposed: DMMCR > 0.75 suggests IC, DMMCR < 0.5 suggests no IC.
  • For DMMCR between 0.5 and 0.75, S-100 protein staining aids in diagnosing marginal NC-IC cases.
  • Findings suggest a potential neuroimmune mechanism in IC pathogenesis.
Abstract