ESPE Abstracts (2018) 89 P-P3-280

aFirst Department of Paedaitrics, National and Kapodistrian University of Athens Med School, Aghia Sophia Hospital, Athens, Greece; bBiomedical Research Foundation of the Academy of Athens, Athens, Greece; cIzmir International Biomedicine and Genome Institute, Izmir, Turkey


Aim: This study aims to screen the genes/gene products associated with the polycystic ovary syndrome (PCOS) and to predict any possible interactions among them with high confidence. These interactions networks could contribute to the better understanding of PCOS pathophysiology and help generate new hypotheses

Methods: Systems medicine approach using STRING v10.5 database and confidence level 0.7, interactions networking.

Results: We created a highly interconnected network of 48 nodes, of which insulin (INS) was the major hub. INS upstream and downstream analysis revealed that kisspeptin and glucagon are upstream, while reproduction and other endocrine gene/gene products are downstream.

Conclusion: PCOS’s different underlying pathogenetic factors, phenotypes and suggested remedies need to be re-weighed and re-assessed.

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