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: PCOSs different underlying pathogenetic factors, phenotypes and suggested remedies need to be re-weighed and re-assessed.
27 - 29 Sep 2018
European Society for Paediatric Endocrinology