| Literature DB >> 31367382 |
Mia A Charifson1,2, Benjamin C Trumble1,2.
Abstract
Polycystic ovary syndrome (PCOS) is the most common female endocrine disorder and has important evolutionary implications for female reproduction and health. PCOS presents an interesting paradox, as it results in significant anovulation and potential sub-fecundity in industrialized populations, yet it has a surprisingly high prevalence and has a high heritability. In this review, we discuss an overview of PCOS, current diagnostic criteria, associated hormonal pathways and a review of proposed evolutionary hypotheses for the disorder. With a multifactorial etiology that includes ovarian function, metabolism, insulin signaling and multiple genetic risk alleles, PCOS is a complex disorder. We propose that PCOS is a mismatch between previously neutral genetic variants that evolved in physically active subsistence settings that have the potential to become harmful in sedentary industrialized environments. Sedentary obesogenic environments did not exist in ancestral times and exacerbate many of these pathways, resulting in the high prevalence and severity of PCOS today. Overall, the negative impacts of PCOS on reproductive success would likely have been minimal during most of human evolution and unlikely to generate strong selection. Future research and preventative measures should focus on these gene-environment interactions as a form of evolutionary mismatch, particularly in populations that are disproportionately affected by obesity and metabolic disorders. LAYEntities:
Keywords: evolutionary medicine; infertility; mismatch; natural selection; polycystic ovary syndrome; reproduction
Year: 2019 PMID: 31367382 PMCID: PMC6658700 DOI: 10.1093/emph/eoz011
Source DB: PubMed Journal: Evol Med Public Health ISSN: 2050-6201
Phenotypic categories for PCOS
| Phenotype | HA | PCO | A | Percentage of PCOS patients (%) | Association with obesity on average? | Association with insulin resistance on average? | Effective treatment methods |
|---|---|---|---|---|---|---|---|
| Type I classic | X | X | X | 25.4 (range: 4.7–31.0) | Yes | Yes | Weight loss, metformin, COC, antiandrogens |
| Type II classic | X | X | 19.3 (range: 4.7–39.7) | Yes | Yes | Weight loss, metformin, COC, antiandrogens | |
| Ovulatory | X | X | 35.3 (range: 0–72.1) | No | Yes (less than Type I & II) | Metformin, COC, antiandrogens | |
| Normoandrogenic | X | X | 20 (range: 10–32.5) | No | No | COC |
There are four main PCOS phenotypes, which vary in clinical presentation, frequency, comorbidity and treatment method. Phenotypes with more clinical features and comorbidities are generally considered more severe forms of PCOS for those who experience it (i.e. Type I classic is considered the most severe phenotypic form of PCOS). It should be noted that there is considerable cross-cultural variation in the percentage of PCOS patients per phenotype. Thus, distribution of each phenotype might vary specifically by geographical region but this question that has yet to be sufficiently researched. COC, combined oral contraceptives.
Averaged across several cross-sectional, unselected populations from the following countries Denmark, China, Australia, Mexica, Iran and Turkey [30].
Adapted from Vrbikova and Hainer [1].
Figure 1.Hormonal differences between PCOS and non-PCOS individuals. The hormonal profiles throughout folliculogenesis and ovulation in (A) individuals without PCOS on average to compared to (B) individuals with Type I classic PCOS phenotype and (C) a description of the relevant differences and how they affect these processes
Genetic polymorphisms and associated pathways implicated in PCOS
| Proposed function in PCOS | Gene variant associated with PCOS | References |
|---|---|---|
| Obesity |
| [ |
| Insulin pathways |
| [ |
| Delayed menopause |
| [ |
| Hyperandrogenism |
| [ |
|
| [ | |
| Anovulation |
| [ |
|
| [ | |
| Inflammation |
| [ |
There have been a wide range of genetic polymorphisms associated with PCOS and their proposed physiological contribution to PCOS pathophysiology vary from metabolic, reproductive and immune pathways.
Figure 2.The intersection of PCOS comorbidities in PCOS pathophysiology. Comorbidity in patients with PCOS and where along the pathophysiology of PCOS each comorbidity may play a relevant role in the pathogenesis of the disorder
Figure 3.Proposed interaction between PCOS genetic susceptibility and environmental factors on ovulation rates. Successful ovulation is influenced by both the energy available to be used in reproductive function and genetic factors that affect the important actors in the female reproductive axis. Energy available for reproductive function for the purpose of ovulation will be traded off with immune activity, physical activity, parity and breastfeeding. The evolutionarily desirable outcome of a high ovulatory rate will therefore be a result of both environmental factors and the internal actors on reproductive function. Bolded actors in reproductive function are those known to have gene variants that are associated with PCOS