0 331

Cited 7 times in

Estrogen-related genome-based expression profiling study of uterosacral ligaments in women with pelvic organ prolapse

Authors
 Yeo Jung Moon  ;  Sang Wook Bai  ;  Chan-Young Jung  ;  Chul Hoon Kim 
Citation
 INTERNATIONAL UROGYNECOLOGY JOURNAL, Vol.24(11) : 1961-1967, 2013 
Journal Title
INTERNATIONAL UROGYNECOLOGY JOURNAL
ISSN
 0937-3462 
Issue Date
2013
MeSH
Adaptor Proteins, Signal Transducing/biosynthesis ; Aged ; Case-Control Studies ; Death-Associated Protein Kinases/biosynthesis ; Estrogens/metabolism* ; Female ; Gene Expression Profiling ; Humans ; Interleukin-15/biosynthesis ; Ligaments/metabolism* ; Menopause/metabolism* ; Middle Aged ; Multigene Family ; Oligonucleotide Array Sequence Analysis ; Pelvic Organ Prolapse/genetics ; Pelvic Organ Prolapse/metabolism* ; Pelvic Organ Prolapse/physiopathology ; Phosphoproteins/biosynthesis ; Real-Time Polymerase Chain Reaction ; Receptors, Estrogen/biosynthesis
Keywords
Pelvic organ prolapse ; Gene expression ; DNA microarray ; Estrogen
Abstract
INTRODUCTION AND HYPOTHESIS: The aim of the study was to identify the differential expression of estrogen-related genes that may be involved in the menopause and pelvic organ prolapse (POP) using microarray analysis. METHODS: An age, parity, and menopausal status-matched case-control study with 12 POP patients and 5 non-POP patients was carried out. The study was conducted from January to December 2010 at Yonsei University, Severance Hospital. We examined microarray gene expression profiles in uterosacral ligaments (USLs) from POP and non-POP patients. Total RNA was extracted from USL samples to generate labeled cDNA, which was hybridized to microarrays and analyzed for the expression of 44,049 genes. We identified differentially expressed genes and performed functional clustering. After clustering, we focused on transcriptional response and signal transduction gene clusters, which are associated with estrogen, and then validated the changes of gene expression levels observed with the microarray analysis using quantitative polymerase chain reaction (qPCR). RESULTS: The data from the microarray analysis using more than a 1.5-fold change with p value <0.05 resulted in 143 upregulated genes and 87 downregulated genes. Of 59 genes identified to be associated with signal transduction and transcription, 4 genes were chosen for qPCR that have been classified to be associated with estrogen. We found that estrogen receptor-related receptor-α (ERRα) was downregulated and that the expression of death-associated protein kinase 2 (DAPK 2), signal-transducing adaptor protein-2 (STAP-2), and interleukin (IL)-15 were upregulated. CONCLUSIONS: We found four differentially expressed genes by microarray analysis that may account for the way in which changes in estrogen level affect POP pathophysiology.
Full Text
http://link.springer.com/article/10.1007%2Fs00192-013-2124-9
DOI
10.1007/s00192-013-2124-9
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Obstetrics and Gynecology (산부인과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pharmacology (약리학교실) > 1. Journal Papers
Yonsei Authors
Kim, Chul Hoon(김철훈) ORCID logo https://orcid.org/0000-0002-7360-429X
Moon, Yeo Jung(문여정)
Bai, Sang Wook(배상욱) ORCID logo https://orcid.org/0000-0001-7724-7552
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/88296
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links