IDENTIFICATION AND ANALYSIS OF KEY GENES IN THE PATHOGENESIS OF STRESS URINARY INCONTINENCE AS A PARTICULAR MANIFESTATION OF CONNECTIVE TISSUE DYSPLASIA


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Abstract

Objective. To identify the key genes of connective tissue dysplasia in women with stress urinary incontinence. Subjects and methods. By using a MetaCore software product (GeneGo Inc., USA) and the data of GSE 12852 recording microchip from the GEO DataSets database, the authors analyzed the results of determining the gene expression in the round and uterosacral ligament samples taken from 17 patients (a study group was made up of 8 women with genital prolapse and stress urinary incontinence and a control group consisted of 9 women). The most characteristic and statistically significant network interaction map was selected from the 388 ones for connective tissue remodeling. Results. Through the interaction of multiple genes, the body’s signaling systems, the expression of PAI-1 compensatorily increases in women with the manifestations of connective tissue dysplasia (by 4.67 times in our study), by preventing further degradation of connective tissue. Conclusion. Considering the significant correlation between PAI-1 and metalloproteinases, there is no question that it is implicated in the pathogenesis of connective tissue dysplasia and, among other processes, in stress urinary incontinence. The role of PAI-1 in connective tissue dysplasia surely requires further investigation; however, its importance is undeniable in this pathology.

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About the authors

A. M ABDEYEVA

Academician V.I. Kulakov Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health and Social Development of Russia

Email: bonch-bonch@yandex.ru

V. E BALAN

Academician V.I. Kulakov Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health and Social Development of Russia

Email: balanmed@gmail.com

A. E DONNIKOV

Academician V.I. Kulakov Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health and Social Development of Russia

Email: donnikov@mdl-lab.ru

V. V SOBOLEV

N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences

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