Int Neurourol J.  2012 Dec;16(4):159-168.

'Omics' Approaches to Understanding Interstitial Cystitis/Painful Bladder Syndrome/Bladder Pain Syndrome

Affiliations
  • 1Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Jayoung.Kim@cshs.org
  • 2Department of Surgery, Cedars-Sinai Medical Center, Center for Women's Continence and Pelvic Health at Cedars-Sinai, Los Angeles, CA, USA.
  • 3The Urological Diseases Research Center, Boston Children's Hospital, Boston, MA, USA.
  • 4Departments of Surgery and Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.

Abstract

Recent efforts in the generation of large genomics, transcriptomics, proteomics, metabolomics and other types of 'omics' data sets have provided an unprecedentedly detailed view of certain diseases, however to date most of this literature has been focused on malignancy and other lethal pathological conditions. Very little intensive work on global profiles has been performed to understand the molecular mechanism of interstitial cystitis/painful bladder syndrome/bladder pain syndrome (IC/PBS/BPS), a chronic lower urinary tract disorder characterized by pelvic pain, urinary urgency and frequency, which can lead to long lasting adverse effects on quality of life. A lack of understanding of molecular mechanism has been a challenge and dilemma for diagnosis and treatment, and has also led to a delay in basic and translational research focused on biomarker and drug discovery, clinical therapy, and preventive strategies against IC/PBS/BPS. This review describes the current state of 'omics' studies and available data sets relevant to IC/PBS/BPS, and presents opportunities for new research directed at understanding the pathogenesis of this complex condition.

Keyword

Interstitial cystitis; Omics; Medical informatics; Physiopathology

MeSH Terms

Cystitis, Interstitial
Drug Discovery
Genomics
Medical Informatics
Metabolomics
Pelvic Pain
Proteomics
Quality of Life
Translational Medical Research
Urinary Bladder
Urinary Tract
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