Polycystic Ovaries Research - Treatment, Symptoms, Polycystic Ovary Syndrome, Infertility

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Molecular profiling of polycystic ovaries for markers of cell invasion and matrix turnover.

Oksjoki S, Söderström M, Inki P, Vuorio E, Anttila L

Departments of Medical Biochemistry and Molecular Biology, Turku University Central Hospital, University of Turku, Turku, Finland.

OBJECTIVE: To study gene expression profiles of connective tissue components in polycystic ovaries using complementary deoxyribonucleic acid (cDNA) array technology. DESIGN: Descriptive study of normal and polycystic human ovarian biopsy samples analyzed by cDNA array hybridizations. SETTING: Experimental laboratory research. PATIENT(S): Eight women with polycystic ovary syndrome (PCOS) and two normally cycling women treated with electrocauterization and hysterectomy, respectively. INTERVENTIONS: Ovarian biopsy samples. MAIN OUTCOME MEASURE(S): Expression levels of 588 genes involved in cellular invasion, extracellular matrix (ECM) turnover, and cell-ECM interactions in polycystic ovaries. RESULT(S): A majority of the 30 genes down-regulated in PCOS ovaries represented those related to cell adhesion and motility, as well as angiogenesis, followed by regulators of cell cycle and growth. The 14 up-regulated genes represented those regulating cell fate and development, growth factors, cytokines, chemokines, and cell-cell interactions. Of the 44 transcripts exhibiting marked changes in the cDNA array analysis, only one - proliferating cell nuclear antigen messenger ribonucleic acid (PCNA mRNA) - was systematically down-regulated; 2 transcripts, for CDC27HS protein and CD9 antigen, were down-regulated in 7 out of 8 PCOS samples. CONCLUSION(S): The present data suggest that gene expression profiling may become a useful tool to classify PCOS patients into subgroups with different etiologies. Genome-wide expression profiling using microarrays should be performed to better understand the metabolic derangement(s) in PCOS.

Published 11 April 2005 in Fertil Steril, 83(4): 937-44.
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Polycystic Ovaries Research Today Archive:

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