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MicroRNAs Related to Polycystic Ovary Syndrome (PCOS)

1
Department of Science, Systems and Models, Roskilde University, Universitetsvej 1, Roskilde 4000, Denmark
2
Fertility Clinic Region Sjaelland, Holbaek Hospital, Holbaek 4300, Denmark
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Author to whom correspondence should be addressed.
Genes 2014, 5(3), 684-708; https://doi.org/10.3390/genes5030684
Received: 13 June 2014 / Revised: 7 August 2014 / Accepted: 12 August 2014 / Published: 25 August 2014
(This article belongs to the Special Issue miRNA Regulation)
Polycystic ovary syndrome (PCOS) is the most common, though heterogeneous, endocrine aberration in women of reproductive age, with high prevalence and socioeconomic costs. The syndrome is characterized by polycystic ovaries, chronic anovulation and hyperandrogenism, as well as being associated with infertility, insulin resistance, chronic low-grade inflammation and an increased life time risk of type 2 diabetes. MicroRNAs (miRNAs) are small, non-coding RNAs that are able to regulate gene expression at the post-transcriptional level. Altered miRNA levels have been associated with diabetes, insulin resistance, inflammation and various cancers. Studies have shown that circulating miRNAs are present in whole blood, serum, plasma and the follicular fluid of PCOS patients and that they might serve as potential biomarkers and a new approach for the diagnosis of PCOS. In this review, recent work on miRNAs with respect to PCOS will be summarized. Our understanding of miRNAs, particularly in relation to PCOS, is currently at a very early stage, and additional studies will yield important insight into the molecular mechanisms behind this complex and heterogenic syndrome. View Full-Text
Keywords: polycystic ovary syndrome; microRNA; biomarkers; insulin resistance; infertility; diabetes polycystic ovary syndrome; microRNA; biomarkers; insulin resistance; infertility; diabetes
MDPI and ACS Style

Sørensen, A.E.; Wissing, M.L.; Salö, S.; Englund, A.L.M.; Dalgaard, L.T. MicroRNAs Related to Polycystic Ovary Syndrome (PCOS). Genes 2014, 5, 684-708.

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