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Genome-based expression profiles as a single standardized microarray platform for the diagnosis of bladder pain syndrome/interstitial cystitis: an array of 139 genes model
Introduction and hypothesis The aim of the study was to investigate the molecular signatures underlying bladder pain syndrome/interstitial cystitis (BPS/IC) using cDNA microarray. Methods Microarray gene expression profiles were studied in a matched case–control study by using a system of conditiona...
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Published in: | International Urogynecology Journal 2009-06, Vol.20 (6), p.743-743 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Introduction and hypothesis
The aim of the study was to investigate the molecular signatures underlying bladder pain syndrome/interstitial cystitis (BPS/IC) using cDNA microarray.
Methods
Microarray gene expression profiles were studied in a matched case–control study by using a system of conditional regression modeling.
Results
The main findings are summarized as follows: Firstly, a “139-gene” model was discovered to contain high expressions of bladder epithelium, which feature in BPS/IC. Secondly, complex metabolic reactions, including carbohydrate, lipid, cofactors, vitamins, xenobiotics, nucleotide, and amino acid metabolisms, were found to have a strong relationship with bladder smooth muscle contraction through IC status. Thirdly, we found the transcriptional regulations of IC-induced bladder smooth muscle contraction status, including the level of contractile force, tissue homeostasis, energy homeostasis, and the development of the nervous system. In addition, our study suggested the mast-cell activation mediated by the high-affinity receptor of Fc epsilon RI triggering allergic inflammation through IC status. Such genetic changes, jointly termed “bladder remodeling,” can constitute an important long-term consequence of BPS/IC.
Conclusions
The success of this innovation has supported the use of microarray-based expression profiling as a single standardized platform for diagnosis of BPS/IC and offers drug discovery. |
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ISSN: | 0937-3462 1433-3023 |
DOI: | 10.1007/s00192-009-0863-4 |