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Polycystic οvary syndrome revisited: An interactions network approach

Styliani A Geronikolou1,2, Athanasia Pavlopoulou3,4, Dennis V Cokkinos1

  • 1Clinical, Translational & Experimental Surgery Research Center, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.

European Journal of Clinical Investigation
|May 6, 2021
PubMed
Abstract

Insights

Polycystic ovary syndrome (PCOS) involves complex genetic and metabolic factors. This study identified insulin as a central hub in PCOS, suggesting metabolic pathways are key to understanding the condition.

Area of Science:

  • Endocrinology and Genetics
  • Metabolic Syndrome Research

Background:

  • Polycystic ovary syndrome (PCOS) presents multifaceted genetic, epigenetic, metabolic, and reproductive characteristics.
  • The intricate pathophysiology of PCOS remains incompletely understood.

Purpose of the Study:

  • To screen genes and gene products associated with PCOS.
  • To predict potential gene/gene product interactions with high accuracy.

Main Methods:

  • Utilized the STRING v10.5 database.
  • Applied a confidence score threshold of 0.7 for interaction prediction.

Main Results:

  • Constructed a densely interconnected network comprising 48 nodes.
  • Identified insulin (INS) as the central hub within the network.
  • Analyzed upstream and downstream defects of INS, revealing kisspeptin- and glucagon-coding genes as upstream regulators.

Conclusions:

  • Inferred metabolic dominance in PCOS pathophysiology.
  • Discussed implications for puberty, obesity, infertility, and cardiovascular health.
  • Proposed potential contributions to resolving definitional conflicts and advancing P4 medicine approaches for PCOS.
Keywords:
P4 medicineinsulininteractomepolycystic ovary syndromesystems medicinethermoregulation

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