Polycystic ovary syndrome: Pathways and mechanisms for possible increased susceptibility to COVID-19

Targeting patients for early COVID-19 therapy; Pre-infection metabolic dysfunction, polycystic ovary syndrome and risk of severe disease in patients under 65: A Massachusetts community-based observational study

INTRODUCTION

The demographics of those developing severe coronavirus disease (COVID-19) outcomes are shifting to younger patients. In an observational study utilizing electronic health records from a Massachusetts group medical practice, we identified 5025 patients with confirmed COVID-19 from March 1 to December 18, 2020. Of these, 3870 were under 65 years of age. We investigated the hypothesis that pre-infection metabolic or immunologic dysregulation including polycystic ovary syndrome (PCOS) increased risk of serious COVID-19 outcomes in patients under 65 years of age.

MATERIALS AND METHODS

We compared those with COVID-19 related hospitalization or mortality to all other COVID-19 patients, using a case control approach. Using logistic regression and propensity score modeling, we evaluated risk of developing severe COVID-19 outcomes (hospitalization or death) in those with pre-infection comorbidities, metabolic risk factors, or PCOS.

RESULTS

Overall, propensity score matched analyses demonstrated pre-infection elevated liver enzymes alanine aminotransferase (ALT) >40, aspartate aminotransferase (AST) >40 and blood glucose ≥215 mg/dL were associated with more severe COVID-19 outcomes, OR = 1.74 (95% CI 1.31, 2.31); OR = 1.98 (95% CI 1.52, 2.57), and OR = 1.55 (95% CI 1.08, 2.23) respectively. Elevated hemoglobin A1C or blood glucose levels were even stronger risk factors for severe COVID-19 outcomes among those aged < 65, OR = 2.31 (95% CI 1.14, 4.66) and OR = 2.42 (95% CI 1.29, 4.56), respectively. In logistic regression models, women aged < 65 with PCOS demonstrated more than a four-fold increased risk of severe COVID-19, OR 4.64 (95% CI 1.98, 10.88).

CONCLUSION

Increased risk of severe COVID-19 outcomes in those < age 65 with pre-infection indicators of metabolic dysfunction heightens the importance of monitoring pre-infection indicators in younger patients for prevention and early treatment. The PCOS finding deserves further investigation. Meanwhile women who suffer from PCOS should be carefully evaluated and prioritized for earlier COVID-19 treatment and vaccination.

Dysregulation of immune response in PCOS organ system

Polycystic ovary syndrome (PCOS) is the most common reproductive endocrine disorder affecting women, which can lead to infertility. Infertility, obesity, hirsutism, acne, and irregular menstruation are just a few of the issues that PCOS can be linked to. PCOS has a complicated pathophysiology and a range of clinical symptoms. Chronic low-grade inflammation is one of the features of PCOS. The inflammatory environment involves immune and metabolic disturbances. Numerous organ systems across the body, in addition to the female reproductive system, have been affected by the pathogenic role of immunological dysregulation in PCOS in recent years. Insulin resistance and hyperandrogenism are associated with immune cell dysfunction and cytokine imbalance. More importantly, obesity is also involved in immune dysfunction in PCOS, leading to an inflammatory environment in women with PCOS. Hormone, obesity, and metabolic interactions contribute to the pathogenesis of PCOS. Hormone imbalance may also contribute to the development of autoimmune diseases. The aim of this review is to summarize the pathophysiological role of immune dysregulation in various organ systems of PCOS patients and provide new ideas for systemic treatment of PCOS in the future.

A Copeptin as a Predictor Marker for Insulin Resistance Among Women with Polycystic Ovary Syndrome

Background:

A polycystic ovarian syndrome (PCOS) is a common endocrine syndrome in which women have a wide range of clinical presentations; insulin resistance was linked to its pathogenesis.

Objective:

We aimed to investigate the copeptin role as a predictive marker of insulin resistance among PCOS women.

Material and Methods:

In University Hospital, we included 280 women, with 140 of them being healthy controls. 140 out of 280 cases of PCOS subdivided into two groups depending on the insulin resistance; group 1 with homeostasis model assessment for the insulin resistance < 2.5. Group 2 with homeostasis model assessment for the insulin resistance >2.5. The evaluation of body mass index and blood pressure for all besides the blood sampling for estimation of a follicular stimulating hormone, luteinizing hormone, prolactin, estradiol, sex hormone-binding globulin, total testosterone, fasting insulin dehydroepiandrosterone sulfate, C-reactive protein, plasma glucose, free androgen index, and plasma copeptin using the Copeptin-Human EIA Kit besides the transvaginal ultrasound for ovarian assessment.

Results:

When compared to other groups, PCOS women with positive insulin resistance >2.5 had a significantly higher plasma copeptin level. The ROC curve calculated a 1.94 pmol/L; plasma copeptin cutoff value for detecting the insulin resistance in PCOS with 88 % sensitivity value and 36 % specificity, AUC was 0.88.

Conclusion:

The significant positive relationship between serum copeptin and insulin resistance with high sensitivity implies its usefulness as a marker of insulin resistance among PCOS patients with a high prediction of its complication.

Effect of orlistat during individualized comprehensive life-style intervention on visceral fat in overweight or obese PCOS patients

ObjectiveTo investigate the effect of orlistat combined with drospirenone/ethinylestradiol tablets (DRSP/EE) on the visceral fat area (VFA) compared to DRSP/EE-alone in overweight or obese patients with polycystic ovary syndrome (PCOS).Methods90 PCOS patients [body mass index (BMI) ≥24kg/m²] were recruited for a prospective, open-label, 1:2 paired 3-monthly study. All were included during the per-protocol defined recruitment time and numbered according to the entry-order: group-1: No.1-60, orlistat plus DRSP/EE; group-2: No.61-90, DRSP/EE-alone. Both groups received the same comprehensive intervention in terms of individualized, standardized management and lifestyle monitoring such as diet and exercise. Primary study-endpoint was VFA, secondary endpoints were anthropometric indices, sex hormones and glucolipid metabolism. Within- and between-group analyses were performed.ResultsVFA [cm²] in group-1 after treatment decreased significantly (p = 0.001), and the between-group comparison was highly significant (p = 0.001). Body weight, hip circumference (HC), BMI, body fat (BF), free testosterone (FT) and low-density lipoprotein-cholesterol (LDL-C) significantly decreased in both groups (within-group analysis); the decrease in group-1 was significantly greater than in group-2 (p < 0.05). Systolic and diastolic blood pressure (SBP/DBP) and fasting plasma glucose (FPG) in group-1 were significantly decreased, significantly more in group-1 than in group-2 (p < 0.05).ConclusionThis study is the first to investigate the effect of orlistat combined with DRSP/EE in overweight or obese PCOS patients compared with using DRSP/EE-alone. Orlistat combined with DRSP/EE was better than using DRSP/EE-alone in reducing VFA, body weight, FT, BP and FPG, which provides evidence for the choice of rational drug use in clinical practice.