Identification of diagnostic serum biomarkers for Hunner-type interstitial cystitis

Kazumasa Torimoto1, Tomohiro Ueda2, Masato Kasahara3

  • 1Department of Urology, Nara Medical University, Kashihara, Japan.

Insights

Serum 1-linoleoyl-GPC (18:2) shows promise as a biomarker for diagnosing Hunner-type interstitial cystitis (HIC). Further research is needed to confirm its clinical utility in differentiating HIC from other conditions causing frequent urination.

Area of Science:

  • Urology
  • Biochemistry
  • Medical Diagnostics

Background:

  • Hunner-type interstitial cystitis (HIC) diagnosis relies on identifying Hunner lesions, which can lead to misdiagnosis of storage symptoms.
  • Current diagnostic methods for HIC present challenges in accurate identification and differentiation from other conditions.

Purpose of the Study:

  • To identify and validate serum biomarkers for the diagnosis of Hunner-type interstitial cystitis (HIC).
  • To assess the diagnostic utility of candidate serum biomarkers in distinguishing HIC from control groups.

Main Methods:

  • Metabolomic analysis of serum samples from 25 patients with interstitial cystitis (IC) and 25 controls.
  • Liquid chromatography-tandem mass spectrometry was used to analyze metabolites, followed by Mann-Whitney tests for group comparisons.
  • Validation study conducted in 2019 on HIC and control groups.

Main Results:

  • Metabolomics identified significant differences in 14 lysolipids, seven γ-glutamyl amino acids, and two monoacylglycerols between IC and control groups.
  • Serum 1-linoleoyl-GPC (18:2) was identified as a candidate biomarker, with significantly lower concentrations in HIC patients (27,920 ± 6261 ng/mL) compared to controls (40,360 ± 1514 ng/mL).
  • At a cutoff of 28,400 ng/mL, 1-linoleoyl-GPC (18:2) demonstrated 68% sensitivity and 84% specificity.

Conclusions:

  • Serum 1-linoleoyl-GPC (18:2) is a potential diagnostic biomarker for Hunner-type interstitial cystitis (HIC).
  • Further investigation is required to determine if this biomarker can reliably differentiate HIC from other conditions causing urinary frequency for clinical application.
Abstract