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.

Academic Article

Abstract

  • 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 [corrected] studied in a matched case-control study [corrected] by using a system of conditional regression modeling. RESULTS: The main [corrected] 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 [corrected] found to have a strong relationship with bladder smooth muscle contraction through IC status. Thirdly, we [corrected] 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 [corrected] nervous system. In addition, our study suggested the mast-cell activation mediated by the high-affinity receptor of Fc epsilon [corrected] RI triggering allergic inflammation through IC status. Such genetic changes, jointly termed "bladder remodeling," [corrected] can constitute an important long-term consequence of BPS/IC. [corrected]. CONCLUSIONS: The success of this innovation has supported the use of microarray-based expression profiling as a single standardized platform for diagnosis of PBS/IC and offers [corrected] drug discovery.
  • Authors

    Keywords

  • Actins, Adipokines, Amino Acids, Apoptosis, Carbohydrate Metabolism, Case-Control Studies, Cells, Cultured, Cystitis, Interstitial, Cytokines, DNA, Complementary, Epithelial Cells, Female, Gene Expression Profiling, Homeostasis, Humans, Lipid Metabolism, Logistic Models, MAP Kinase Signaling System, Muscle Contraction, Muscle, Smooth, Oligonucleotide Array Sequence Analysis, Peroxisome Proliferator-Activated Receptors, Transcriptome, Transforming Growth Factor beta, Urothelium
  • Digital Object Identifier (doi)

    Author List

  • Tseng L-H; Chen I; Chen M-Y; Lee C-L; Lin Y-H; Lloyd LK
  • Start Page

  • 515
  • End Page

  • 522
  • Volume

  • 20
  • Issue

  • 5