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Table of Contents
Year : 2021  |  Volume : 32  |  Issue : 1  |  Page : 8

A step toward precision diagnosis of interstitial cystitis

Department of Urology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation; School of Medicine, Tzu Chi University, Hualien, Taiwan

Date of Submission18-Jan-2021
Date of Acceptance27-Jan-2021
Date of Web Publication27-Mar-2021

Correspondence Address:
Hann-Chorng Kuo
Department of Urology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, No. 707, Section 3, Chung-Yang Road, Hualien
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/UROS.UROS_15_21

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How to cite this article:
Kuo HC. A step toward precision diagnosis of interstitial cystitis. Urol Sci 2021;32:8

How to cite this URL:
Kuo HC. A step toward precision diagnosis of interstitial cystitis. Urol Sci [serial online] 2021 [cited 2021 Jul 30];32:8. Available from: https://www.e-urol-sci.com/text.asp?2021/32/1/8/312430

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a mystery of functional urology. For 100 years, urologists still cannot find the underlying pathophysiology of IC/BPS and also cannot establish an algorithm for the diagnosis of this bladder disorder. IC/BPS is a syndrome of constellation of symptoms. These symptoms might be bladder centered or not.[1] How to make an accurate diagnosis of IC/BPS without using invasive cystoscopic hydrodistention and bladder biopsy is a big challenge.[2] The ESSIC type 2 IC/BPS patients also express multiple urine cytokines with high sensitivity and high specificity. The urine cytokines MCP-1, RANTES, CXCL10, IL-7, and eotaxin-1 are statistically significant in differentiating IC/BPS and controls. MCP-1, CXCL10, eotaxin-1, and RANTES were positively correlated with glomerulation grade and negatively correlated with maximal bladder capacity.[3] These cytokines might serve as biomarkers in the diagnosis and mapping the clinical characteristics of IC/BPS. This review article reports a study calling the IC-risk score currently undergoing in the US to develop a simple diagnostic test based on several urine proteins, through machine learning technology.[4] However, based on their study protocol, only IC/BPS patients and controls are involved. I believe that this will be the weakest point of this study because differential diagnosis between IC/BPS and controls is not difficult, based on the characteristic symptoms of IC/BPS. The difficult diagnostic test for IC/BPS is to find those with true bladder-centered IC/BPS patients from a large cohort of patients with bladder hypersensitivity, overactive bladder (OAB), and not bladder-centered BPS. In a recent study, the urinary cytokines with high diagnostic values (Area under curve >0.7) to distinguish IC/BPS and OAB included IL-10, RANTES, eotaxin, CXCL10, IL-12, p70, NGF, IL-6, IL-17A, MCP-1, and IL-1RA. However, the accuracy cannot reach a satisfactory high rate, except the cytokine MIP-1β, which has the highest sensitivity (92.2%) to discriminate diseased study patients from controls.[5] Although there is still no accurate diagnostic test to identify IC/BPS from patients with bladder hypersensitive symptoms, using urinary biomarkers is a correct road in the precision diagnosis of specific bladder disorders.

  References Top

Jhang JF, Kuo HC. Pathomechanism of interstitial cystitis/bladder pain syndrome and mapping the heterogeneity of disease. Int Neurourol J 2016;20:S95-104.  Back to cited text no. 1
Yu WR, Jhang JF, Ho HC, Jiang YH, Lee CL, Hsu YH, et al. Cystoscopic hydrodistention characteristics provide clinical and long-term prognostic features of interstitial cystitis after treatment. Sci Rep 2021;11:455.  Back to cited text no. 2
Jiang YH, Jhang JF, Hsu YH, Ho HC, Wu YH, Kuo HC. Urine cytokines as biomarkers for diagnosing interstitial cystitis/bladder pain syndrome and mapping its clinical characteristics. Am J Physiol Renal Physiol 2020;318:F1391-9.  Back to cited text no. 3
Chancellor MB, Lamb LE. Toward a validated diagnostic test with machine learning algorithm for interstitial cystitis. Urol Sci 2021;32:2-7.  Back to cited text no. 4
  [Full text]  
Jiang YH, Jhang JF, Hsu YH, Ho HC, Wu YH, Kuo HC. Urine biomarkers in ESSIC type 2 interstitial cystitis/bladder pain syndrome and overactive bladder with developing a novel diagnostic algorithm. Sci Rep 2021;11:914.  Back to cited text no. 5


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