Controversies in the diagnosis of polycystic ovary syndrome

Ovarian reserve and fertility parameters in post-pubertal females with congenital adrenal hyperplasia: a case-control study

OBJECTIVES

Congenital adrenal hyperplasia (CAH) is an autosomal recessive disorder characterized by impaired activity of the enzyme required for cortisol and aldosterone production, resulting in increased adrenal androgen synthesis. Factors affecting fertility in CAH patients include ambiguous genitalia and their complications, excessive androgen secretion, adrenal progesterone hypersecretion, and various psychosocial factors. Serum anti-Müllerian hormone (AMH) level is used to assess ovarian reserve in women. A few data on serum AMH levels in CAH patients are available in the literature. The aim of the study was to evaluate ovarian reserve in a group of post-menarche females diagnosed with CAH by measuring serum AMH level and assessing the number of antral follicles sonographically.

METHODS

A case-control study was conducted on 17 post-pubertal CAH females and 17 age-matched healthy female controls; the mean age of the patient group was 15.09 ± 3.55 years ranging from 11 to 24 years, while the mean age of the control group was 16.04 ± 3.72 years ranging from 12 to 25 years, the mean post-menarchal age of the patients group was 3.29 ± 1.37 years ranging from 1 to 6 years while the mean post-menarchal age of the control group was 4.13 ± 1.62 years ranging from 1 to 9 years. The degree of hirsutism was compared between the two groups according to the modified Ferriman-Gallwey score, clitoral length was assessed using a digital caliber. Serum levels of adrenal androgens in addition to basal levels of serum follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol, progesterone, and serum AMH were measured in both groups.

RESULTS

Patients had smaller uterine volumes, and smaller ovarian volumes but a comparable number of antral follicles and comparable serum AMH levels relative to controls.

CONCLUSIONS

Good compliance with treatment in patients with CAH results in good hormonal control, low risk of PCOS, good fertility parameters, and a good ovarian reserve.

The impact of sleeve gastrectomy on polycystic ovarian syndrome: a single-center 1-year cohort study

BACKGROUND AND AIM

Obesity is one of the risk factors for polycystic ovarian syndrome (PCOS), and weight loss is the mainstay of treatment. This study investigates the effects of sleeve gastrectomy on clinical and paraclinical signs and symptoms of PCOS patients referred to a tertiary hospital.

METHODS

Female patients with a definite diagnosis of PCOS and body mass index (BMI) > 40 kg/m2 who were candidates for sleeve gastrectomy were enrolled in this cohort study and followed for 1 year postoperatively. Clinical signs and symptoms of PCOS, sonographic examination, and laboratory hormonal assessments were assessed preoperatively and 1 year following surgery.

RESULTS

Fifty patients enrolled in the study. The mean age of patients was 31.69 ± 9.54 years. The mean BMI before and after the surgery was 44.28 ± 3.03 and 29.37 ± 2.41 kg/m2, respectively. Oligomenorrhea was improved in 66% of patients. According to the sonographic criteria, PCOS was improved in 74% of patients. After a year post-operation, while the mean serum levels of the follicular stimulating hormone (FSH), testosterone, and dehydroepiandrostenedione have improved significantly in all patients (p < 0.001 in all), the significant decrease in serum luteinizing hormone (LH), LH/ FSH ratio, and estrogen was only noted in patients with improved clinical response (p < 0.05, p < 0.001, and p < 0.001 respectively).

CONCLUSION

Weight loss and improvements in hyperandrogenism following sleeve gastrectomy result in clinical and paraclinical improvement of PCOS signs and symptoms, including oligomenorrhea and ovulation induction.

Immune and oxidative stress disorder in ovulation-dysfunction women revealed by single-cell transcriptome

Introduction

Ovulation dysfunction is now a widespread cause of infertility around the world. Although the impact of immune cells in human reproduction has been widely investigated, systematic understanding of the changes of the immune atlas under female ovulation remain less understood.

Methods

Here, we generated single cell transcriptomic profiles of 80,689 PBMCs in three representative statuses of ovulation dysfunction, i.e., polycystic ovary syndrome (PCOS), primary ovarian insufficiency (POI) and menopause (MENO), and identified totally 7 major cell types and 25 subsets of cells.

Results

Our study revealed distinct cluster distributions of immune cells among individuals of ovulation disorders and health. In patients with ovulation dysfunction, we observed a significant reduction in populations of naïve CD8 T cells and effector memory CD4 T cells, whereas circulating NK cells and regulatory NK cells increased.

Discussion

Our results highlight the significant contribution of cDC-mediated signaling pathways to the overall inflammatory response within ovulation disorders. Furthermore, our data demonstrated a significant upregulation of oxidative stress in patients with ovulation disorder. Overall, our study gave a deeper insight into the mechanism of PCOS, POI, and menopause, which may contribute to the better diagnosis and treatments of these ovulatory disorder.

Polycystic Ovary Syndrome (PCOS): A Cross-Sectional Observational Study Analyzing the Quality of Content on YouTube

INTRODUCTION

Polycystic ovary syndrome (PCOS), a chronic multifactorial disorder in women of reproductive age group, is a major public health problem. With most women resorting to platforms like "YouTube" that form a perfect source of edutainment, our aim was to analyze the quality of content available regarding the same.

AIMS

The aims and objectives of this study were to assess the quality and reliability of content related to PCOS on YouTube by analyzing the DISCERN score, global quality score (GQS), and video power index (VPI).

METHODOLOGY

It was a facility-based cross-sectional study undertaken on a single day with each author reviewing 10 videos from YouTube on PCOS using predetermined keywords. The number of likes, dislikes, views, comments, and uploader backgrounds were evaluated. DISCERN score, GQS, and VPI were also calculated for each video. While data entry was done using Microsoft Excel 2020 (Microsoft Corporation, Washington, United States), the analysis was carried out using SPSS Statistics version 16 (SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.). Categorical variables were expressed as frequency and percentages, and statistical significance was determined using the Kruskal-Wallis test/one-way ANOVA.

RESULTS

A total of 80 videos that fit the inclusion criteria were analyzed. A majority of the videos (80%) were posted a year back with no updates. Only 28.8% of the video content was posted by doctors. Though most videos (96.25%) shared information pertaining to symptomatology, only 45% spoke regarding prevention. Promotional content was noted in 28.75% of the video content. GQS and VPI were better with information being provided by doctors, hospitals, and healthcare organizations (p-value 0.033 and 0.006, respectively).

CONCLUSIONS

With women reaching out to edutainment platforms like YouTube to clarify their concerns surrounding lifestyle diseases such as PCOS in the digital era, it becomes relevant to evaluate the quality of content available on such platforms. The findings of the study form a prototype for addressing the existing gaps in the knowledge available on YouTube. Furthermore, the findings warrant frequent monitoring of such available web-based content and delivery of such content only from qualified wellness experts.

Determining the age group-based cut-off values of serum anti-Mullerian hormone concentrations to diagnose polycystic ovary syndrome

OBJECTIVE

To determine the cut-off values of the serum anti-Müllerian hormone (AMH) concentration for different age groups (21-25, 26-30, 31-35 years) to diagnose polycystic ovary syndrome (PCOS).

METHODS

In total, 187 women aged 21-35 years were included in this descriptive study. Patients diagnosed with PCOS according to the Rotterdam Criteria formed the PCOS group (n = 93), whereas those without symptoms related to PCOS formed the control group (n = 94). Follicular phase serum hormone concentrations were evaluated during the endocrinological assessment of patients with PCOS. Serum levels of estradiol, follicle-stimulating hormone (FSH), luteinizing hormone (LH), prolactin, total testosterone, dehydroepiandrosterone sulfate, sex hormone-binding globulin, androstenedione, and AMH were measured. The free androgen index and LH/FSH ratio were calculated. Cut-off values of serum AMH concentrations for the age groups were measured using receiver operating characteristic curve analysis.

RESULTS

The prevalence rates of frank, ovulatory, normoandrogenic, and non-polycystic ovary PCOS were 69.9, 10.8, 10.8, and 8.6%, respectively. Serum AMH concentrations >5.56 ng/mL were associated with PCOS in the 21-25-year-old group. The cut-off value was 4.01 ng/mL in the 26-30-year-old group, whereas it was 3.42 ng/mL in the oldest age group. The correlation between the antral follicle count (AFC) and serum AMH level was strong for each age group.

CONCLUSIONS

The serum AMH concentration is a valuable parameter for assessing patients with symptoms indicative of PCOS. We recommend measuring serum AMH levels to support the diagnosis or to use them instead of the AFC for the Rotterdam criteria.

Blood volatile organic compounds as potential biomarkers for poly cystic ovarian syndrome (PCOS): An animal study in the PCOS rat model

Polycystic ovary syndrome (PCOS) as a common metabolic and endocrinological disorder can affect the metabolic profile in biological fluids. We studied the profile of blood volatile organic compounds (VOCs) in rats with PCOS and controls to identify potential specific biomarkers of blood VOCs in PCOS rats. For this purpose, 30 female adult Wistar rats were assigned to two groups: control and PCOS groups. PCOS model was induced using letrozole gavage (1 mg/kg) for 21 days. The rats in the control group received water of the same volume for 21 days. During treatment, a collection of vaginal smears was done every day for estrus cycle determination and weight was measured weekly. On the day after the last administration of letrozole, the rats were killed and their blood and ovaries were collected. Testosterone levels and histologic changes in ovaries were examined. Also, headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) analyzed the VOCs in the blood of PCOS and control rats. Multivariate and univariate statistical analyses were used to find the potential biomarkers for a rat model of PCOS. Weight gain, ovarian and vaginal pathological alteration, as well as hyperandrogenemia, confirmed the successful induction of the PCOS in rats. The results of blood VOCs analysis showed that nine VOCs were significantly elevated and one VOC decreased in the PCOS group than the control group (P < 0/05). The partial least-squares discriminant analysis (PLS-DA) and principal component analysis (PCA) showed good separation of VOCs between the PCOS rats and the control group. The 4-ethylphenol and capric (decanoic) acid were selected as the potential biomarkers for PCOS diagnosis in the blood of the PCOS rats. The blood of PCOS rats had a specific profile of VOCs, which could be detected by GC-MS analysis. These findings can pave the way for further studies towards developing a new screening method for PCOS detection and studying their pathology, based on VOCs analysis.

Ovarian volume, not follicle count, is independently associated with androgens in patients with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS) is diagnosed based on chronic anovulation, androgen excess (clinical and/or biochemical), and polycystic ovaries in ultrasound. The aim of the present study was to evaluate which parameters in the transvaginal ultrasound (TVUS) of ovaries could be better associated with concurrent hormonal imbalance in the women with PCOS.

METHODS

Using a cross-sectional design, this study focused on 61 subjects (18-40 years) with PCOS. Patients were recruited at three academic hospitals during the 2017-2019 period. PCOS was defined according to the Rotterdam criteria. The association of ovarian morphology with hormonal and metabolic feature was investigated using linear regression models, adjusted for a set of possible confounding variables including age, mensuration status and body mass index (BMI).

RESULTS

The mean volume of both ovaries was positively associated with the total testosterone level (β = 0.025, P value < 0.001), free androgen index (β = 0.041, P value < 0.001) and luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (β = 0.032, P value = 0.004), even after adjustments made for age, mensuration status and BMI (fully-adjusted model). In contrast, in the fully-adjusted model, antral follicle count (AFC), follicle number per ovary (FNPO), ovarian area, stromal area, and ratio of stromal area to ovarian area (S/A) were not associated with androgen levels and LH/FSH ratio. In addition, after full adjustments, ovarian volume, AFC, FNPO, ovarian area, stromal area and S/A were not associated with insulin resistance, which was estimated by the homeostasis model assessment of insulin resistance (HOMA-IR).

CONCLUSION

Increased ovarian volume is, thus, highly predictive of hyperandrogenemia and high LH/FSH ratio in PCOS patients.

Free-androgen Index in Women with Polycystic Ovarian Syndrome: A Meta-Analysis

Objectives Hyperandrogenism, a key feature of polycystic ovarian syndrome (PCOS), is caused by excess androgen secretion, most commonly of ovarian origin. Although the serum total testosterone (TT) levels have long been used as a traditional measure of hyperandrogenemia in women with PCOS, it is associated with many fallacies due to the fact that a component of TT is linked to sex hormone-binding globulin (SHBG). Recent research has discovered that measuring free testosterone levels and computing the free androgen index (FAI), which is a ratio of TT and SHBG, are better predictors of androgen excess in PCOS. The aim of this meta-analysis is to determine the association of FAI in diagnosing hyperandrogenism and its ability to discriminate PCOS from controls.

Materials and Methods The publicly available databases PubMed, Scopus and Web of Science were searched using MeSH terms, ‘Polycystic Ovarian Syndrome’ OR ‘PCOS’ OR ‘PCOD’ AND ‘Testosterone’ AND ‘Sex Hormone Binding Globulin’ OR ‘SHBG’ to collect the full-text articles for the retrieval of related data of case–control and cross-sectional studies. The studies quality was assessed using the Newcastle–Ottawa scale, and a sub-group analysis and publication bias between the studies was evaluated by funnel plot.

Statistical Analysis The R program (v4.0.3) and R packages ‘metafor’ and ‘dmetar’ were used for statistical analyses of quantitative data and the plots were generated using ‘ggplot2’ package through a comparison of pooled SMD by Egger's linear regression and Beggs-Mazumdar tests.

Results Twenty-four studies involving 7,847 participants including 3,290 controls and 4,557 PCOS were included in the meta-analysis. The pooled data analysis of the included studies showed that the PCOS women had higher FAI than controls, with SMD of 1.56 (95%CI 1.08–2.04; p < 0.01). The publication bias was tested using a funnel plot and Egger's regression asymmetry test, which revealed no risk of publishing bias (p = 0.1727). Additionally, the sub-group meta-analysis of geographic region revealed that FAI levels were more significant in PCOS subjects of Asia and Europe, compared with the American region.

Conclusion Overall, this meta-analysis indicates that FAI could be a reliable marker to differentiate PCOS patients from controls in Asian and European ethnicities.

Insulin Resistance in Polycystic Ovarian Syndrome

Polycystic ovarian syndrome (PCOS) is one of the readily recognised endocrine gland illnesses in women, with an incidence range from 2.2% to 26% in India. Patients experiencing PCOS experience issues involving irregular menstrual periods, hirsutism, acne, being overweight, and impotence. Long-term, low-grade inflammation has emerged as a crucial factor leading to PCOS. A rise in glucose levels may stimulate oxidative stress and a troubling reaction from mononuclear cells (MNC) of females with PCOS, which normally do not rely on fat. This is required because MNC-derived macrophages are the major source of cytokine synthesis in big adipose tissue and similarly encourage adipocyte cytokine production. In summary, data reveal the substantial risks of insulin resistance in obese people who are suffering from PCOS. The findings of this specific lesson indicated that individuals with the conventional PCOS phenotype had obesity and higher insulin levels and insulin resistance, neglecting the absence of BMI differences from other phenotypes. These data show that insulin resistance is the most significant pathophysiological trait in people with PCOS.

The Relationship between Ovarian Ultrasound Parameters and Endocrine and Metabolic Indicators in Patients with Ovarian Syndrome

Objective. The aim of this study is to investigate the relationship between the levels of endocrine and metabolic indicators and ovarian ultrasonography indicators in patients with ovarian syndrome (PCOS). Methods. Three hundred and forty patients with PCOS from January 2017 to February 2022 were selected as the observation group, and 340 healthy women of the same age were selected as the control group. A retrospective analysis was performed to observe the levels of endocrine and metabolic indicators and ovarian ultrasound examination indicators in the two groups. Results. The levels of testosterone, dehydroepiandrosterone (DHEA-S), luteinizing hormone (LH), LH/FSH, blood glucose, and insulin were higher in the observation group than those in the control group. The levels of low-density lipoprotein (LDL) and free insulin-like growth factor (IGF-I) were higher in the observation group than those in the control group. However, the level of high-density lipoprotein (HDL) was lower in the observation group than that in the control group. The ovarian interstitial area, total ovarian area, ovarian volume, number of follicles, uterine artery pulsatility index (PI), and resistance index (RI) were higher in the observation group than those in the control group. Pearson correlation analysis concluded that estrone (E1) levels in PCOS patients were correlated with ovarian interstitial area, total ovarian area, and ovarian volume. In addition, E1 levels correlated with LH levels, LH/FSH, testosterone, DHEA-S, and progesterone at $P<0.05$ . Compared with different treatment methods, the total testosterone, LH, and LH/FSH levels in the two groups were decreased compared with those before treatment, and the degree of decrease in the combined treatment group was more significant than that in the treatment alone group. Conclusion. The levels of endocrine metabolism and ovarian ultrasound in PCOS patients are abnormal and there is a close relationship between the levels of endocrine metabolism and ovarian ultrasound. Attention should be paid to the monitoring and regulation of endocrine metabolism and ovarian ultrasound. Integrated traditional Chinese and western medicine can greatly improve the hormone levels in PCOS patients.

Controversies in the Pathogenesis, Diagnosis and Treatment of PCOS: Focus on Insulin Resistance, Inflammation, and Hyperandrogenism

Polycystic ovary syndrome (PCOS) is a heterogeneous and extremely common disease with symptoms that vary with the age of the patient, typically characterized by hyperandrogenism, chronic oligo-anovulation, and/or several metabolic disorders. The syndrome includes various phenotypes, and the pathogenesis is multifactorial, often involving insulin resistance. This feature is closely related to ovarian dysfunction, inflammation, hyperandrogenism, and metabolic disorders, which characterize and complicate the syndrome. Therapy currently considers both lifestyle improvements and medications, and must be tailored on a case-by-case basis. To date, the published studies have not arrived at a definition of the most suitable therapy for each individual case and many of the drugs used are still off-label. In this review, we discuss some controversial diagnostic and therapeutic aspects of PCOS, such as the role of insulin resistance, inflammation, and hyperandrogenism. We also evaluated the advantages and disadvantages of contraceptive therapy and antiandrogens.

Mean platelet volume and polycystic ovary syndrome: a systematic review and meta-analysis

OBJECTIVE

This meta-analysis evaluated the association between the mean platelet volume (MPV) and polycystic ovary syndrome (PCOS).

METHODS

A systematic literature search using PubMed, EMBASE, and Web of Science databases until June 2021 was conducted. Pooled standardized mean differences (SMD) and 95% confidence intervals (CI) were determined using a random effects model.

RESULTS

Ten studies involving 866 women with PCOS and 548 age- and body mass index-matched women without PCOS were included. The MPV was significantly increased in women with PCOS compared with non-PCOS women (SMD = 0.43, 95% CI = 0.13-0.72). Subgroup analyses showed that this trend was consistent in cross-sectional studies (SMD = 0.44, 95% CI = 0.03-0.86) and in Turkish women (SMD = 0.46, 95% CI = 0.13-0.79). Meta-regression analysis revealed a marginally positive correlation between the MPV and the homoeostasis model assessment of insulin resistance in women with PCOS. The sensitivity analysis showed that the effect estimate was robust and stable, and publication bias was not evidenced in the pooled analysis.

CONCLUSIONS

This meta-analysis revealed that women with PCOS have a significantly increased MPV than women without PCOS, which is probably associated with insulin resistance.INPLASY registration number: INPLASY2021100021.

Cardiovascular Risk Factors and Subclinical Atherosclerosis in Greek Adolescents with Polycystic Ovary Syndrome: Its Relationship with Body Mass Index

Polycystic ovary syndrome (PCOS) is the most common endocrine condition affecting 6–18% of adolescents and is strongly associated with obesity and cardiovascular risk factors, enhancing the risk of atherosclerosis. Thirty-two adolescents with newly diagnosed PCOS were evaluated for lipid profile disorders, insulin resistance, inflammation, non-alcoholic fatty liver disease (NAFLD), and subclinical atherosclerosis through measurements of carotid intima–media thickness (cIMT). The relationships of the above markers with increased body mass index and abdominal obesity were investigated. Twenty-three adolescents (72%) were overweight (OW) or obese (OB). The OW/OB group had significantly higher insulin, HOMA-IR, high-sensitive C-reactive protein (hsCRP), visceral adiposity index (VAI), and lipid accumulation product (LAP) levels; and lower glucose-per-insulin ratios and HDL-C levels compared to the healthy weight group. The cIMT and small dense low-density lipoprotein cholesterol (sdLDL-C) levels did not differ between the two groups. Similarly, cIMT and sdLDL-C levels did not differ between PCOS-adolescents and healthy controls. CIMT was positively correlated with systolic blood pressure and waist circumference per height ratio. In conclusion, OW/OB PCOS-adolescents have a cluster of adverse factors predisposing them to atherosclerotic cardiovascular disease. Therefore, early cardiovascular risk assessment, as well as timely and targeted interventions, are necessary for prevention.

A Cross-Sectional Study on Potential Ovarian Volume and Related Factors in Women with Polycystic Ovary Syndrome from Infertile Couples

Purpose

This study was designed to explore the value of ovarian volume (OV) measured by transvaginal ultrasound and its relationship with anthropometry and serum hormonal levels in a polycystic ovary syndrome (PCOS) population.

Patients and Methods

A total of 119 women with PCOS from infertile couples were recruited in this cross-sectional study. On days 2-4 of the menstrual cycle, transvaginal ultrasound examinations were performed, and hormonal profiles were measured. PCOS diagnosis was based on the Rotterdam 2003 criteria and classified into four phenotype groups. The PCOS group (study group) and the non-PCOS group (control group) were compared.

Results

The mean age of the participants was 32.66±4.10 years compared to 33.99±4.78 years in 273 cases (69.6%) without PCOS. The mean OV was statistically larger in the PCOS group than in the non-PCOS group (7.65±3.23 mL vs 6.08±3.67 mL, p < 0.001) and positively correlated with serum anti-Mullerian (AMH) and luteinizing hormone (LH) levels (r=0.30; p < 0.001 and r=0.23; p < 0.001, respectively), and weakly and inversely correlated with age (-0.182, p < 0.001). The area under the receiver operating characteristic (ROC) curve of OV in the diagnosis of PCOS was 0.613 (0.557-0.670, 95% CI).

Conclusion

The enlarged OV is remarkable in women with PCOS and is related to AMH and LH concentrations. Although the diagnostic potential of PCOS is substantially low, OV alone may contribute to predicting the severity of PCOS and better performance for the diagnosis of PCOS phenotypes.

Research progress of endometrial receptivity in patients with polycystic ovary syndrome: a systematic review

Polycystic ovary syndrome (PCOS) is a neuroendocrine heterogeneous disease that frequently occurs in women of reproductive age, causing serious damage to the fertility, quality of life, and physical and mental health of patients. The current studies have proved that satisfactory endometrial receptivity is one of the conditions that must be met during the process of spermatovum position, adhesion and invasion, as well as the subsequent blastocyst division and embryo development. Women with PCOS may suffer a series of pathological processes such as changes in the expression levels of hormones and related receptors, imbalances in the proportion of miscellaneous cytokines, insulin resistance, low-grade chronic inflammation and endometrial morphological changes, which will damage endometrial receptivity from various aspects and obstruct fertilized egg nidation and embryonic development, thus causing adverse reproductive health events including infertility and abortion. This article reviews the research progress about characteristics and related influencing factors of endometrial receptivity in PCOS patients.

The connection of alpha-1 acid glycoprotein inflammatory marker with anthropometric, hormonal, and metabolic characteristic of women with polycystic ovary syndrome

AIM

To investigate the connection of alpha-1 acid glycoprotein inflammatory biomarker with clinical, hormonal, and metabolic characteristics in women with polycystic ovary syndrome (PCOS) and normal cycling controls.

METHODS

A cross-sectional study was conducted on 235 women with PCOS and 92 normal cycling controls attended between 2008 and 2018. Alpha-1 acid glycoprotein levels were correlated with clinical, anthropometric, anthropometric-metabolic indexes, and hormones of women with PCOS and controls. Simple and multivariate stepwise linear regression, matched for age and body mass index confounding variables, was performed.

RESULTS

Alpha-1 acid glycoprotein levels were higher in women with PCOS (p = 0.0016). In controls, it was positively correlated with waist circumference, fat mass, body adiposity index, and lipid accumulation product, and negatively correlated with sex hormone-binding globulin (p < 0.005 for all comparisons). In PCOS, it was positively correlated with testosterone, most biomarkers of central adiposity, homeostatic model assessment of insulin-resistant, erythrocyte sedimentation rate, and negatively correlated with sex hormone-binding globulin, high-density lipoprotein cholesterol, glucose/insulin ratio, and lymphocytes (p < 0.055 for all comparisons). After multivariate regression in women with PCOS, alpha-1 acid glycoprotein retained a significant positive correlation with erythrocyte sedimentation rate and C-reactive protein.

CONCLUSIONS

In PCOS, alpha-1 acid glycoprotein is correlated with biomarkers of adiposity, carbohydrate metabolism, and total testosterone. This inflammatory marker is also correlated with erythrocyte sedimentation rate, neutrophils, and lymphocytes, frequent markers of an inflammation state.

Intersection of Polycystic Ovary Syndrome and the Gut Microbiome

The etiology of polycystic ovary syndrome (PCOS) remains unclear, although studies indicate that both genetic and environmental factors contribute to the syndrome. In 2012, Tremellen and Pearce proposed the idea that dysbiosis of the intestinal (gut) microbiome is a causative factor of metabolic and reproductive manifestations of PCOS. In the past 5 years, studies in both humans and rodent models have demonstrated that changes in the taxonomic composition of gut bacteria are associated with PCOS. Studies have also clearly shown that these changes in gut microbiota are associated with PCOS as opposed to obesity, since these changes are observed in women with PCOS that are both of a normal weight or obese, as well as in adolescent girls with PCOS and obesity compared with body mass index- and age-matched females without the disorder. Additionally, studies in both women with PCOS and rodent models of PCOS demonstrated that hyperandrogenism is associated with gut microbial dysbiosis, indicating that androgens may modulate the gut microbial community in females. One study reported that the fecal microbiome transplantation of stool from women with PCOS or exposure to certain bacteria resulted in a PCOS-like phenotype in mice, while other studies showed that exposure to a healthy gut microbiome, pre/probiotics, or specific gut metabolites resulted in protection from developing PCOS-like traits in mice. Altogether, these results suggest that dysbiosis of the gut microbiome may be sufficient to develop PCOS-like symptoms and that modulation of the gut microbiome may be a potential therapeutic target for PCOS.