Metabolic Basis of Polycystic Ovarian Syndrome; Indications for Biochemical Screening

Title:Metabolic Basis of Polycystic Ovarian Syndrome; Indications for Biochemical Screening

Volume: 16 Issue: 1

Author(s): Maxwell Omabe, Kenneth Nwobini Omabe, Famurewa Ademola Clement and Grace Maxwell Omabe

Affiliation:

Keywords: Annovulation, follicules, hyperandrogenemia, hyperinsulinema, infertility, testosterone, thecal cells, ultrasound.

Abstract: Background: Polycystic ovary syndrome (PCOS) is a heterogeneous condition with wide range of phenotype the cause of this disorder is unknown, however, increased ovarian androgen production including increased theca cell responsiveness to gonadotropin stimulation, increased pituitary secretion of luteinizing hormone, and hyperinsulinemia have been suggested. Some known risk factors are ethnicity and environmental factors including lifestyle and bodyweight.

Method: Relevant English language studies from January 1995 to September 2015 were identified, reviewed, synthesized and discussed extensively.

Result: various forms of PCOS, and the underlying mechanisms; and highlights biochemical, morphological and metabolic hallmarks of PCOS, including trends and emerging phenotypes; and presents a simplified synthesis that integrates current understanding of biochemical and metabolic endocrinology of PCOS are summarized. As no generally accepted criteria exist for its diagnosis, some existing diagnostic criteria that cut across different geographical regions are also highlighted.

Conclusion: Indeed, emerging evidence points that the severity of menstrual problems could serve as a predictor of the like-hood of insulin resistance in women of reproductive age, suggesting the need for routine metabolic screening and early intervention in PCOS.

Cite this article as:

Omabe Maxwell, Nwobini Omabe Kenneth, Ademola Clement Famurewa and Maxwell Omabe Grace, Metabolic Basis of Polycystic Ovarian Syndrome; Indications for Biochemical Screening, Endocrine, Metabolic & Immune Disorders - Drug Targets 2016; 16 (1) . https://dx.doi.org/10.2174/1871530316666160201145934