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Review
. 2018 Oct;35(10):1763-1771.
doi: 10.1007/s10815-018-1235-0. Epub 2018 Aug 17.

Hippo signaling in the ovary and polycystic ovarian syndrome

Affiliations
Review

Hippo signaling in the ovary and polycystic ovarian syndrome

Kristi Maas et al. J Assist Reprod Genet. 2018 Oct.

Abstract

Purpose: To provide a commentary on our understanding of the role that the Hippo signaling pathway may play in patients with polycystic ovarian syndrome (PCOS) and how this understanding may impact the diagnosis of PCOS.

Methods: We assessed publications discussing the role of the Hippo signaling pathway in the ovary. In particular, we discuss how Hippo signaling disruption after ovarian fragmentation, combined with treating ovarian fragments with phosphatase and tensin homolog (PTEN) inhibitors and phosphoinositide-3-kinase stimulators to augment AKT signaling, has been used in treatment of patients with primary ovarian insufficiency. Furthermore, we discuss our own data on variations in Hippo signaling pathway gene expression in cumulus cells isolated from women undergoing IVF with a previous diagnosis of PCOS.

Results and conclusions: Aberrant Hippo signaling in PCOS patients is likely a contributing mechanism to the multifactorial etiology of the disease. Given the challenge of discerning the underlying etiology of oligo-ovulation in some patients, especially those with normal body mass indices, and the need for customized stimulation protocols for PCOS patients who have an increased risk of over-response and higher percentage of immature oocyte yield, it is important to identify these patients prior to treatment. Hippo gene expression fingerprints could potentially be used to more accurately define patients with PCOS. Additionally, targeting this pathway with pharmacologic agents could lead to non-surgical therapeutic options for PCOS.

Keywords: Cumulus cells; HIPPO signaling; IVF; PCOS.

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Figures

Fig. 1
Fig. 1
Relative expression levels of Hippo signaling genes when comparing a the average fold change between control and PCOS patients and b the relative fold change between control and PCOS patients in individual samples. The top panel contains all tested individuals, while the bottom panel shows sample distribution without outliers. Statistically significant differences between control and PCOS in fold change sample distributions are denoted by * = p < 0.05 > 0.001, *** = p < 0.001
Fig. 2
Fig. 2
Receiver operating curves (ROC) demonstrating the predictive value of individual Hippo gene expression levels for PCOS. Area under the curve (AUC) signifies better predictive value when it is closer to 1

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