X centromeric drive may explain the prevalence of polycystic ovary syndrome and other conditions: Genomic structure of the human X chromosome pericentromeric region is consistent with meiotic drive associated with PCOS and other conditions

X chromosome centromeric drive may explain the prevalence of polycystic ovary syndrome and contribute to oocyte aneuploidy, menopause, and other conditions. The mammalian X chromosome may be vulnerable to meiotic drive because of X inactivation in the female germline. The human X pericentromeric region contains genes potentially involved in meiotic mechanisms, including multiple SPIN1 and ZXDC paralogs. This is consistent with a multigenic drive system comprising differential modification of the active and inactive X chromosome centromeres in female primordial germ cells and preferential segregation of the previously inactivated X chromosome centromere to the polar body at meiosis I. The drive mechanism may explain differences in X chromosome regulation in the female germlines of the human and mouse and, based on the functions encoded by the genes in the region, the transmission of X pericentromeric genetic or epigenetic variants to progeny could contribute to preeclampsia, autism, and differences in sexual differentiation.

Depression, higher level of tension induction, and impaired coping strategies in response to stress in women with PCOS correlate with clinical and laboratory indices of hyperandrogenism and not with central obesity and insulin resistance

PCOS is characterized by ovarian hyperandrogenism and insulin resistance (IR), which give rise to symptoms of hyperandrogenism and central obesity, which in turn may cause depression, lower self-esteem, and deteriorate coping strategies in stressful situations.

THE PURPOSE

to examine the mental condition, self-esteem, and ways of coping with stress in women with PCOS compared to age and BMI-matched healthy controls and to correlate them with clinical and laboratory hyperandrogenism, central obesity, and IR.

METHODS

42 women with PCOS and 39 controls were assessed for the above-mentioned psychological measures and correlated with serum hormonal and metabolic parameters.

RESULTS

Compared to controls, women with PCOS had more symptoms of depression (p = 0.026), a higher level of tension induction (p = 0.032), were more prone to alcohol consumption (p = 0.015), and were less likely to use the strategy of active coping in stressful situations (p = 0.014) and to seek instrumental (p = 0.048) and emotional support (p = 0.043). The presence of hirsutism correlated negatively with the level of emotional induction (R = -0.32, p < 0.05), and androgenic alopecia positively with the hedonistic tone (R = 0.36, p < 0.05). Serum testosterone (TST) correlated positively with the likelihood of seeking instrumental support in stressful situations (R = 0.31, p < 0.05) and with emotional focus (R = 0.34, p < 0.05). Serum androstenedione (A4-dione) correlated negatively with the escape behavior (R = -0.32, p < 0.05). No correlations were found between waist circumference and IR with the studied psychological measures.

CONCLUSIONS

Women with PCOS are characterized by depression, higher levels of tension induction, and impaired coping strategies in stressful situations, which correlate with clinical and laboratory indices of hyperandrogenism and not with central obesity and IR.

The Search for the Causes of Common Hyperandrogenism, 1965 to Circa 2015

From 1965 to 2015, immense strides were made into understanding the mechanisms underlying the common androgen excess disorders, premature adrenarche and polycystic ovary syndrome (PCOS). The author reviews the critical discoveries of this era from his perspective investigating these disorders, commencing with his early discoveries of the unique pattern of plasma androgens in premature adrenarche and the elevation of an index of the plasma free testosterone concentration in most hirsute women. The molecular genetic basis, though not the developmental biologic basis, for adrenarche is now known and 11-oxytestosterones shown to be major bioactive adrenal androgens. The evolution of the lines of research into the pathogenesis of PCOS is historically traced: research milestones are cited in the areas of neuroendocrinology, insulin resistance, hyperinsulinism, type 2 diabetes mellitus, folliculogenesis, androgen secretion, obesity, phenotyping, prenatal androgenization, epigenetics, and complex genetics. Large-scale genome-wide association studies led to the 2014 discovery of an unsuspected steroidogenic regulator DENND1A (differentially expressed in normal and neoplastic development). The splice variant DENND1A.V2 is constitutively overexpressed in PCOS theca cells in long-term culture and accounts for their PCOS-like phenotype. The genetics are complex, however: DENND1A intronic variant copy number is related to phenotype severity, and recent data indicate that rare variants in a DENND1A regulatory network and other genes are related to PCOS. Obesity exacerbates PCOS manifestations via insulin resistance and proinflammatory cytokine excess; excess adipose tissue also forms testosterone. Polycystic ovaries in 40 percent of apparently normal women lie on the PCOS functional spectrum. Much remains to be learned.

Predictive model of IVF outcomes for polycystic ovarian morphology and polycystic ovary syndrome in GnRH antagonist protocol using AMH-MoM and ovarian sensitivity index

AIM

To evaluate the relationship between AMH and ovarian response to controlled ovarian hyperstimulation in women with PCOM and PCOS.

METHODS

A retrospective study was conducted on 559 patients who underwent the IVF-ET cycle between January 2018 and December 2022 at Gangnam Cha Hospital. Patients were divided into 3 groups matched for age and BMI: the PCOS group (n = 54), based on the new 2023 PCOS guideline; the PCOM group (n = 53); and the control group (n = 452) with normal ovaries. Serum AMH levels were converted to multiples of the median (MoM) for each corresponding age. The ovarian sensitivity index (OSI) was calculated as the number of retrieved oocytes divided by the total dose of recombinant FSH administered (per 1000 IU).

RESULTS

There were significant differences in AMH-MoM value among women with PCOS [2.7 ± 1.3 (95% CI 2.3-3.0)], those with PCOM [2.0 ± 1.0 (95% CI 1.7-2.3)], and controls [0.8 ± 0.7 (95% CI 0.8-0.9)] (p < 0.001). The abortion rates in the normoovulatory, PCOM, and PCOS groups were 18.2%, 21.1%, and 25.0%, respectively. OSI and live birth rate were positively correlated with the AMH-MoM value in normoovulatory women (r = 0.389, p < 0.05, r = 0.122, p < 0.05), while no such correlation was observed in women with PCOM and PCOS.

CONCLUSIONS

Ovarian response and live birth rate are possibly correlated with the AMH-MoM value in normoovulatory women, but not in women with PCOM and PCOS.

Influence of state-of-the-art laboratory techniques on the phenotyping of women with polycystic ovary syndrome in the clinical setting

PURPOSE

Evidence-based guidelines for the management of polycystic ovary syndrome (PCOS) recommend clinical laboratories use liquid chromatography-tandem mass spectrometry (LC-MS/MS) for diagnosing biochemical hyperandrogenism. However, automated immunoassays are still mostly used in routine laboratories worldwide. Another hurdle for PCOS phenotyping in the clinical setting is ultrasound assessment of polycystic ovarian morphology. We address the impact of using state-of-the-art (LC-MS/MS) and of an anti-müllerian hormone (AMH) assay on the diagnosis of PCOS in routine practice.

METHODS

In a cross-sectional study, we included 359 premenopausal women consecutively evaluated because of symptoms of functional androgen excess or hyperandrogenemia, and finally diagnosed with PCOS. Patients were submitted to routine phenotyping based on serum androgen measurements by immunoassays and an ovarian ultrasound when necessary. Samples of all patients were also assayed by LC-MS/MS for hyperandrogenemia and for circulating AMH.

RESULTS

The observed agreement between immunoassays and LC-MS/MS in identifying hyperandrogenemia was poor [78.0%; k(95%CI): 0.366 (0.283;0.449)]. The observed agreement between ultrasound and increased AMH was 27.3% [(95%CI): 0.060 (0.005; 0.115)]. Using LC-MS/MS changed PCOS phenotypes in 60(15.8%) patients. Fifty-two (18.3%) individuals with hyperandrogenemia by routine immunoassays no longer presented with androgen excess by LC-MS/MS. Overall diagnostic agreement between routine assessment using immunoassays and ultrasound and that derived from LC-MS/MS and the addition of AMH to US was moderate [weighted κ (linear weights): 0.512 (0.416;0.608)].

CONCLUSIONS

Immunoassays used in routine practice are unacceptably inaccurate for phenotyping women with PCOS. Our data cast some doubts upon the interchangeability of serum AMH and ultrasound examination for the diagnosis of PCOS.

Ovarian Morphology in Girls Longitudinal Cohort Study: Pilot Evaluation of Ovarian Morphology as a Biomarker of Reproductive and Metabolic Features during the First Gynecological Year

OBJECTIVE

The objective was to establish whether aspects of ovarian morphology correlate with reproductive and metabolic features during the first postmenarcheal year using data from the Ovarian Morphology in Girls (OMG!) cohort study. The feasibility of transabdominal ultrasonography to assess ovarian features was also determined.

METHODS

Healthy adolescent females enrolled in a prospective cohort study. Study visits occurred at 6-10, 11-13, 17-19, and 23-25 months postmenarche and entailed a physical exam, transabdominal ultrasound, and fasting blood draw. Participants maintained menstrual diaries throughout the study. The present analysis reflects participants who completed the study visit at 6-10 months postmenarche. Associations between ovarian morphology or average cycle length with reproductive and metabolic features were assessed by Spearman correlations and linear regression.

RESULTS

Forty participants enrolled in the OMG!

STUDY

Thirty-one participants initiated study procedures at 6-10 months postmenarche, and data were available for analysis for 29 participants. Image quality was judged as partially visible or excellent in 90% of the left and 78% of the right ovaries assessed, with all images collected having sufficient image quality to provide measurements of at least 1 ovarian marker. The follicle number per ovary and ovarian volume were positively associated with anti-Müllerian hormone levels and negatively associated with fasting insulin. The average cycle length was only associated negatively with triglycerides.

CONCLUSION

Transabdominal ultrasonography in the early postmenarcheal period provides sufficient resolution to enable estimations of antral follicle count and ovarian size. Ovarian features in early gynecological life may correspond with measures of reproductive and metabolic function.

Adolescents diagnosed with polycystic ovary syndrome under the Rotterdam criteria but not meeting the diagnosis under the updated guideline

STUDY QUESTION

What are the characteristics of adolescents diagnosed with polycystic ovary syndrome (PCOS) based on the 2003 Rotterdam criteria, but who do not meet the diagnosis according to the international evidence-based guideline?

SUMMARY ANSWER

Adolescents who had features of PCOS but did not meet the evidence-based guideline adolescent criteria exhibited unfavorable metabolic profiles compared to controls and shared considerable metabolic and hormonal features with adolescents who did meet the adolescent criteria.

WHAT IS KNOWN ALREADY

The international evidence-based PCOS guideline recommended that ultrasound should not be used for the diagnosis of PCOS in girls with a gynecological age of <8 years. Thus far, few studies have evaluated the clinical characteristics of the girls diagnosed with PCOS based on the Rotterdam criteria but who do not meet the diagnosis according to the updated guideline.

STUDY DESIGN, SIZE, DURATION

This is a retrospective study, and subjects attended for care from 2004 to 2022.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Adolescent girls with PCOS diagnosed according to the 2003 Rotterdam criteria and healthy controls. All participants were between 2 and 8 years since menarche.

MAIN RESULTS AND THE ROLE OF CHANCE

Of the 315 girls diagnosed with PCOS according to the Rotterdam criteria, those with irregular menstruation (IM)/hyperandrogenism (HA)/polycystic ovary (PCO), IM/HA, HA/PCO, and IM/PCO phenotypes accounted for 206 (65.4%), 30 (9.5%), 12 (3.8%), and 67 (21.3%) participants, respectively. According to the evidence-based guideline, 79 girls (25.1%) with the HA/PCO or IM/PCO phenotypes were not diagnosed with PCOS, and aligned to the international guideline; they were designated as the 'at-risk' group. As expected, the girls meeting the evidence-based guideline adolescent criteria showed the worst metabolic profiles (degree of generalized or central obesity, frequency of insulin resistance, prediabetes or diabetes, and metabolic syndrome) and higher hirsutism scores than the at-risk group or controls. Approximately 90% of the at-risk group were not overweight or obese, which was similar to the controls. However, they showed worse metabolic profiles, with higher blood pressure, triglyceride, and insulin resistance parameters than controls; furthermore, these profiles were similar to those of the girls meeting the adolescent criteria. The at-risk group showed similarly elevated serum LH levels and LH/FSH ratio with the girls meeting adolescent criteria.

LIMITATIONS, REASONS FOR CAUTION

We could not evaluate hormonal or ultrasound parameters in controls.

WIDER IMPLICATIONS OF THE FINDINGS

Compared to the conventional Rotterdam criteria, the recent international evidence-based guideline-avoiding ultrasound in PCOS diagnosis in adolescents-still gives the opportunity to identify young girls at risk, aligned to the findings in this study. A practical approach to this adolescent population would involve establishing IM or HA (with ultrasound not indicated) and designating 'at-risk' PCOS status with regular check-ups for newly developed or worsening PCOS-related symptoms or metabolic abnormalities, with subsequent reassessment including ultrasound or anti-Müllerian hormone, once 8 years post-menarche.

STUDY FUNDING/COMPETING INTEREST(S)

No funding was received in support of this study. The authors have no conflicts of interest to disclose.

TRIAL REGISTRATION NUMBER

N/A.

Fuzzy machine learning logic utilization on hormonal imbalance dataset

In this research work, a novel fuzzy data transformation technique has been proposed and applied to the hormonal imbalance dataset. Hormonal imbalance is ubiquitously found principally in females of reproductive age which ultimately leads to numerous related medical conditions. Polycystic Ovary Syndrome (PCOS) is one of them. Treatment along with adopting a healthy lifestyle is advised to mitigate its consequences on the quality of life. The biological dataset of hormonal imbalance "PCOS" provides limited results that is whether the syndrome is present or not. Also, there are input variables that contain binary responses only, to deal with this conundrum, a novel fuzzy data transformation technique has been developed and applied to them thus leading to their fuzzy transformation which provides a broader spectrum to diagnose PCOS. Due to this, the output variable has also been transformed. Hence, a novel fuzzy transformation technique has been employed due to the limitation of the dataset leading to the transition of binary classification output into three classes. An adaptive fuzzy machine learning logic model is developed in which the inference of the transformed biological dataset is performed by the machine learning techniques that provide the fuzzy output. Machine learning techniques have also been applied to the untransformed biological dataset. Both implementations have been compared by computation of the relevant metrics. Machine learning employment on untransformed biological dataset provides limited results whether the syndrome is present or absent however machine learning on fuzzy transformed biological dataset provides a broader spectrum of diagnosis consisting of a third class depicting that PCOS might be present which would ultimately alert a patient to take preventive measures to minimize the chances of syndrome development in future.

Ovarian Morphology in Non-Hirsute, Normo-Androgenic, Eumenorrheic Premenopausal Women from a Multi-Ethnic Unselected Siberian Population

Polycystic ovary syndrome (PCOS) is a highly prevalent disorder in women, and its diagnosis rests on three principal features: ovulatory/menstrual dysfunction, clinical and/or biochemical hyperandrogenism, and polycystic ovarian morphology (PCOM). Currently, data on age- and ethnicity-dependent features of PCOM remain insufficient. We aimed to estimate ethnicity- and age-dependent differences in ovarian volume (OV) and follicle number per ovary (FNPO) in a healthy, medically unbiased population of Caucasian and Asian premenopausal women, who participated in the cross-sectional Eastern Siberia PCOS epidemiology and phenotype (ESPEP) study (ClinicalTrials.gov ID: NCT05194384) in 2016-2019. The study population consisted of 408 non-hirsute, normo-androgenic, eumenorrheic premenopausal women aged 18-44 years. All participants underwent a uniform evaluation including a review of their medical history and a physical examination, blood sampling, and pelvic ultrasonography. The statistical analysis included non-parametric tests and the estimation of the upper normal limits (UNLs) by 98th percentiles for OV and FNPO. In the total study population, the upper OV percentiles did not differ by ethnicity or age group. By contrast, the UNL of FNPO was higher in Caucasian women than in Asian women, and women aged <35 years demonstrated a higher UNL of FNPO compared to older women. In summary, these data suggest that the estimation of FNPO, but not OV, should take into account the ethnicity and age of the individual in estimating the presence of PCOM.

A matter of new life and cell death: programmed cell death in the mammalian ovary

BACKGROUND

The mammalian ovary is a unique organ that displays a distinctive feature of cyclic changes throughout the entire reproductive period. The estrous/menstrual cycles are associated with drastic functional and morphological rearrangements of ovarian tissue, including follicular development and degeneration, and the formation and subsequent atrophy of the corpus luteum. The flawless execution of these reiterative processes is impossible without the involvement of programmed cell death (PCD).

MAIN TEXT

PCD is crucial for efficient and careful clearance of excessive, depleted, or obsolete ovarian structures for ovarian cycling. Moreover, PCD facilitates selection of high-quality oocytes and formation of the ovarian reserve during embryonic and juvenile development. Disruption of PCD regulation can heavily impact the ovarian functions and is associated with various pathologies, from a moderate decrease in fertility to severe hormonal disturbance, complete loss of reproductive function, and tumorigenesis. This comprehensive review aims to provide updated information on the role of PCD in various processes occurring in normal and pathologic ovaries. Three major events of PCD in the ovary-progenitor germ cell depletion, follicular atresia, and corpus luteum degradation-are described, alongside the detailed information on molecular regulation of these processes, highlighting the contribution of apoptosis, autophagy, necroptosis, and ferroptosis. Ultimately, the current knowledge of PCD aberrations associated with pathologies, such as polycystic ovarian syndrome, premature ovarian insufficiency, and tumors of ovarian origin, is outlined.

CONCLUSION

PCD is an essential element in ovarian development, functions and pathologies. A thorough understanding of molecular mechanisms regulating PCD events is required for future advances in the diagnosis and management of various disorders of the ovary and the female reproductive system in general.

Impact of bariatric surgery on ovarian reserve markers and its correlation with nutritional parameters and adipokines

Introduction

A reduction in anti-müllerian hormone (AMH) levels at short-term after bariatric surgery (BS) has been previously described. However, an assessment of ovarian reserve at longer-follow up, and a comprehensive evaluation of the potentially implicated factors has not been reported.

Design

Prospective cohort study.

Materials and methods

Twenty women aged 18-40 years with BMI 43.95 kg/m2 undergoing BS were studied at baseline (BS0), and at 1 month (BS1), 4 months (BS2), 12 months (BS3), and 24-36 months (BS4) after the surgery. Anthropometrics, reproductive hormones (AMH, FSH, LH, estradiol, testosterone, SHBG, androstenedione), metabolic parameters (adiponectin, leptin, ghrelin, insulin), and nutritional blood parameters (markers of nutritional status, vitamins, and minerals) were obtained at each study time point. Antral follicular count (AFC) was assessed by ultrasonography at BS0, BS3, and BS4. Mixed models were used for analysis of longitudinal data.

Results

The mean AMH level was 3.88 ng/mL at BS0, decreased at BS3 (mean= 2.59 ng/mL; p=0.009), and remained stable between BS3 and BS4 (mean= 2.96 ng/mL; p=0.409). We also observed a non-significant decrease in AFC at BS3 (mean=26.14 at BS0, mean 16.81 at BS3; p=0.088) that remained stable at BS4 (mean= 17.86; p=0.731). Mixed models analysis showed: (a) a decrease in 10 kg of body weight was associated with an average decrease of 0.357 ng/mL in AMH (p=0.014); (b) a decrease in 1 BMI point was associated with an average decrease of 0.109 ng/mL in AMH (p=0.005); (c) an increase in 1 µg/mL of adiponectin was associated with an average decrease of 0.091 ng/ml in AMH (p=0.041) Significant positive correlations were found between the AMH levels after BS and plasma concentrations of testosterone, free androgen index, insulin and HOMA index. No significant correlations were detected between AMH levels and nutritional parameters.

Conclusions

Our results were in line with previous observations, showing that AMH levels decreased significantly at 12 months after bariatric surgery, in parallel with a non-significant reduction in AFC. Both ovarian reserve markers showed a later stabilization up to the end of the study. Of note, postoperative AMH levels were positively correlated with key androgen and insulin resistance-related parameters.

Mechanistic actions of long non-coding RNA MALAT1 within the ovary and at the feto-maternal interface

Long non-coding RNAs (LncRNAs) are being unveiled as crucial regulators of several biological processes and pathways. Among the lncRNAs is metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), which is also known as nuclear enriched abundant transcript 2 (NEAT2). MALAT1 is highly conserved in mammals, and controls cellular processes such as proliferation, migration, invasion, angiogenesis, and apoptosis in both physiological and pathological conditions. Roles of MALAT1 in the female reproductive system are gradually getting explored. Within the ovarian micro-environment, the physiological expression of MALAT1 potentially modulates folliculogenesis while its upregulation promotes the metastasis of epithelial ovarian cancers. Interestingly, women with polycystic ovary syndrome have been shown to exhibit aberrant ovarian expression of MALAT1 and this is believed to contribute to the development of the disease. At the feto-maternal interface, MALAT1 potentially promotes trophoblast development. While its placental downregulation is linked to the pathogenesis of preeclampsia, its placental upregulation is associated with placenta increta and placenta percreta. Hence, abnormal expression of MALAT1 is a candidate molecular biomarker and therapeutic target for the treatment of these obstetric and gynecologic anomalies. To enhance a quick uncovering and detailed characterization of the mechanistic actions of MALAT1 in the female reproductive system, we have highlighted some knowledge deficits and have recommended ideal experimental models to be employed in prospective investigations.

Ultrasonographic criteria in the diagnosis of polycystic ovary syndrome: a systematic review and diagnostic meta-analysis

BACKGROUND

Polycystic ovary morphology (PCOM) on ultrasonography is considered as a cardinal feature of polycystic ovarian syndrome (PCOS). Its relevance as a diagnostic criterion for PCOS was reaffirmed in the most recent International Evidence-Based Guideline for the Assessment and Management of PCOS. However, there remains a lack of clarity regarding the best practices and specific ultrasonographic markers to define PCOM.

OBJECTIVE AND RATIONALE

The aim of this systematic review and diagnostic meta-analysis was to assess the diagnostic accuracy of various ultrasonographic features of ovarian morphology in the diagnosis of PCOS.

SEARCH METHODS

Relevant studies published from 1 January 1990 to 12 June 2023 were identified by a systematic search in PubMed, Web of Science, Scopus, CINAHL, and CENTRAL. Studies that generated diagnostic accuracy measures (e.g. proposed thresholds, sensitivity, specificity) for PCOS using the following ultrasonographic markers met criteria for inclusion: follicle number per ovary (FNPO) or per single cross-section (FNPS), ovarian volume (OV), and stromal features. Studies on pregnant or post-menopausal women were excluded. Risk of bias and applicability assessment for diagnostic test accuracy studies were determined using the QUADAS-2 and QUADAS-C tool for a single index test or between multiple index tests, respectively. Diagnostic meta-analysis was conducted using a bivariate model of pooled sensitivity and specificity, and visualized using forest plots and summary receiver-operating characteristic (SROC) curves.

OUTCOMES

From a total of 2197 records initially identified, 31 studies were included. Data from five and two studies were excluded from the meta-analysis due to duplicate study populations or limited data for the index test, leaving 24 studies. Pooled results of 20 adult studies consisted of 3883 control participants and 3859 individuals with PCOS. FNPO was the most accurate diagnostic marker (sensitivity: 84%, CI: 81-87%; specificity: 91%, CI: 86-94%; AUC: 0.905) in adult women. OV and FNPS had similar pooled sensitivities (OV: 81%, CI: 76-86%; FNPS: 81%, CI: 70-89%) but inferior pooled specificities (OV: 81%, CI: 75-86%; FNPS: 83%, CI: 75-88%) and AUCs (OV: 0.856; FNPS: 0.870) compared to FNPO. Pooled results from four adolescent studies consisting of 210 control participants and 268 girls with PCOS suggested that OV may be a robust ultrasonographic marker for PCOS diagnosis albeit the current evidence remains limited. The majority of the studies had high risk of bias for the patient selection (e.g. lack of randomized/consecutive patient selection) and index test (e.g. lack of pre-proposed thresholds for comparison) domains across all ultrasonographic markers. As such, diagnostic meta-analysis was unable to determine the most accurate cutoff for ultrasonographic markers to diagnose PCOS. Subgroup analysis suggested that stratification based on previously proposed diagnostic thresholds, age, BMI, or technology did not account for the heterogeneity in diagnostic accuracy observed across the studies. Studies that diagnosed PCOS using the Rotterdam criteria had improved sensitivity for FNPO. Studies from North America had lower diagnostic accuracy when compared to Asian studies (FNPO: sensitivity) and European studies (OV: specificity, diagnostic odds ratio and positive likelihood ratio). Geographic differences in diagnostic accuracy may potentially be due to differences in age, BMI, and diagnostic criteria of the PCOS group across regions.

WIDER IMPLICATIONS

This diagnostic meta-analysis supports the use of FNPO as the gold standard in the ultrasonographic diagnosis of PCOS in adult women. OV and FNPS provide alternatives if total antral follicle counts cannot be accurately obtained. Our findings support the potential for ultrasonographic evidence of PCOM in adolescents as more data becomes available. Subgroup analysis suggests the need to investigate any relative contributions of geographical differences on PCOS phenotypes. These findings may provide the basis for the development of strategies and best practices toward a standardized definition of PCOM and a more accurate ultrasonographic evaluation of PCOS.

Bisphenol A analogues and metabolic syndrome in women with polycystic ovary syndrome

Bisphenols (BPs) have become a chemical group of special interest due to their ability to interfere with the endocrine system and their ubiquitous presence in the environment. As some of them possess mild estrogenic and anti-androgenic effects, they might be associated with the diagnosis of polycystic ovary syndrome (PCOS). Acting on multiple tissues, BPs exposure may lead to metabolic derangements characteristic for metabolic syndrome (MetS). Therefore, the aim of this study was to determine the potential relationship between exposure to some BPA analogues and features of the MetS in women with PCOS. Serum BPE, BPC, BPG, BPM, BPP, BPZ, BPFL, and BPBP concentrations did not differ significantly between the PCOS (n = 135) and the control subjects (n = 104). However, women whose serum BPM and BPP concentrations were in the highest tertile were more likely to be diagnosed with PCOS (adjusted OR; [95%CI] 0.43; [0.20; 0.89], P < 0.001 and 0.56; [0.27; 0.96], P = 0.049, consequently). Serum concentrations of BPs were not associated with the MetS diagnosis in the PCOS group. There was a negative correlation between the concentrations of serum BPBP and total serum cholesterol (r = - 0.153; P = 0.019), BPE and serum testosterone (r = - 0.160; P = 0.014) as well as BPC and HDL-cholesterol (r = - 0.138; P = 0.036). There was a positive correlation between the concentrations of BPP and serum triglycerides (r = 0.138; P = 0.036). Our results point to the potential association between exposure to BPM, BPP, and the diagnosis of PCOS, along with the impact of BPBP, BPE, BPC, and BPP on the metabolic features of the MetS.

Long noncoding RNA H19 in ovarian biology and placenta development

As the first long noncoding RNA to be discovered, H19 has gained substantial attention as a key regulator of several biological processes and its roles in female reproductive biology are gradually getting revealed. Herein, we have summarized the current evidence regarding H19 expression pattern and involvement in the developmental and pathological processes associated with the ovary and the placenta. The findings indicate that within the ovaries, H19 is expressed in the antral and cystic atretic follicles as well as in the corpora lutea but absent in the primordial, primary, and secondary follicles. Its normal expression promotes the maturation of antral follicles and prevents their premature selection for the ovulatory journey while its aberrant induction promotes polycystic ovary syndrome development and ovarian cancer metastasis. In the placenta, H19 is highly expressed in the cytotrophoblasts and extravillous trophoblasts but weakly expressed in the syncytiotrophoblast layer and potentially controls trophoblast cell fate decisions during placenta development. Abnormal expression of H19 is observed in the placental villi of pregnancies affected by pre-eclampsia and fetal growth restriction. Therefore, dysregulated H19 is a candidate biomarker and therapeutic target for the mitigation of ovarian and placenta-associated diseases.

Clinical management of androgen excess and defect in women

INTRODUCTION

Hyperandrogenism and hypoandrogenism are complex disorders involving multiple-organ systems. While androgen excess is a well-characterized condition, androgen deficiency still needs diagnostic criteria, as there are no specific cutoffs.

AREAS COVERED

We highlight the most recent findings on the role of androgens in female pathophysiology, investigating clinically relevant conditions of androgen insufficiency or excess throughout a woman's life, and their possible therapeutic management.

EXPERT OPINION

Combined oral contraceptives (COCs) should be considered as first-line therapy for the management of menstrual irregularity and/or clinical hyperandrogenism in adolescents with a clear diagnosis of polycystic ovary syndrome (PCOS). There are limited evidence-based data regarding specific types or doses of COCs for management of PCOS in women; however, the lowest effective estrogen dose should be considered for treatment. Despite evidence regarding safety, efficacy, and clinical use, testosterone therapy has not been approved for women by most regulatory agencies for treatment of hypoactive sexual desire disorder (HSDD). The long-term safety for treatments with testosterone is still to be evaluated, and this review highlights the need for more research in this area.

Predicting the ovarian response: towards a determinant model and implications for practice

OBJECTIVE

To improve the reliability of prediction models for ovarian response to stimulation in ART.

DESIGN

A multicenter retrospective cohort study.

SETTING

Twelve reproductive centers.

PATIENTS

A total of 25,854 controlled ovarian stimulations between 2005 and 2016, including cycles cancelled for inadequate response, were included.

INTERVENTION(S)

None.

MAIN OUTCOME MEASURE(S)

Precision of the prediction of the number of oocytes at ovarian pickup and of cancellation rate for poor ovarian response.

RESULTS

Both AMH and antral follicle count exhibit a non-linear effect on the oocyte yield, with a linear relationship after log-transformation. After adjustment for age, BMI, and center, ovarian response observed in a previous stimulation was found to be the best predictor, followed by AMH and AFC. The zero-inflated binomial negative model showed that predictors of cycle cancellation and number of oocytes at retrieval were different, and assimilating cancellation to zero oocyte greatly reduces the determination of the model. Our model was characterized by the best ever reached determination (R2=0.505 for non-naïve women, 0.313 for all the women) and provided evidence of a very strong difference among centers. The results can be easily converted in the prediction of response levels (poor-medium-good-high). Finally, in case of partial report of the above predictors, we show that the univariate prediction based on the best predictor provides a good approximation.

CONCLUSION(S)

A substantial improvement of the ovarian response prediction is possible in modelling the possible cancellation decision, followed by the oocyte retrieval itself, according to an appropriate model based on previous stimulation and non-linear effects of AMH and AFC.

Prevalence of functional hypothalamic amenorrhea in a cohort of women referred because of polycystic ovary syndrome

In this unselected population of women referred to a center specialized in gynecologic endocrinology for suspicion of PCOS, a minimum rate of misdiagnosed FHA patients of about 2% was found. It is necessary to evaluate reliable markers for the differential diagnosis between PCOS and FHA to avoid incorrect treatment, which might lead to negative long-term effects in women with undiagnosed FHA.

Validation of the follicular and ovarian thresholds by an 18-MHz ultrasound imaging in polycystic ovary syndrome: a pilot cutoff for North African patients

Background

Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrinopathies among young women. Ultrasound evidence of polycystic ovaries is one of its crucial diagnostic criteria.

Objectives

Our main objective is to study the contribution of ultrasound data in diagnosing PCOS. In addition, we aim to establish a new cutoff point for the use of ultrasound and to determine its sensitivity as well as its specificity.

Design

It was a prospective study, including all patients presenting with clinical hyperandrogenism.

Methods

The ultrasound examination of these patients was performed using a novel ultrasound machine (18 MHz) compared to an older ultrasound machine (2 Hz-8 MHz). Inclusion criteria encompassed adult female patients over 18 years presenting symptoms suggestive of PCOS, particularly hyperandrogenism and oligo-anovulation, meeting Rotterdam's diagnostic criteria. Prior to inclusion, assessments were conducted to eliminate other potential causes explaining hyperandrogenism or menstrual disorders in both groups.

Results

We examined 92 patients diagnosed with PCOS. Menstrual disorders were the main symptoms, with amenorrhea being more frequent in the PCOS group (G1) (48.9% vs the control group (G2): 11.1%). The follicle number was significantly lower in the control group, as assessed by both ultrasound machines (p < 10-3). The accuracy of the new ultrasound device was evaluated compared to the old one using the receiver operating characteristic (ROC) curve, revealing a cutoff of 18 follicles (sensitivity of 68.1%, specificity of 100%) and an area under the curve of 0.955. We found a significant difference between the median values of the number of follicles (NF) by both ultrasound machines (18 vs 12). It was positively correlated with an index of r = 0.916. For the volume, it was distinctively higher in G1 (p < 10-3). ROC curve analysis revealed an ovarian volume cutoff of 9.25 ml with a sensitivity of 48.9% and a specificity of 100%. Both ultrasound machines were positively correlated with an index of r = 0.979 (p < 10-3).

Conclusion

In conclusion, we were able to establish significant correlations between the new and the old ultrasound devices for both the NF and ovarian volume. Our study is distinctive as it represents the first on the African continent to re-evaluate the ultrasound criterion for PCOS.

Hyperandrogenism drives ovarian inflammation and pyroptosis: A possible pathogenesis of PCOS follicular dysplasia

Hyperandrogenemia and persistent chronic inflammation, two main striking features of polycystic ovary syndrome (PCOS), have been proven involved in follicular dysgenesis in PCOS. However, the association between hyperandrogenism and inflammation activation in PCOS is not fully understood. Excess testosterone（T） induces inflammation and pyroptosis activation in a mouse model of PCOS, leading to ovarian dysfunction and fibrosis. Excessive endoplasmic reticulum (ER) stress is present in ovarian granulosa cells (GCs), testosterone-induced PCOS mouse and cellular models. This study found higher levels of interleukin (IL)-1β, IL-8, IL-17, and IL-18 in the follicular fluid of PCOS patients with hyperandrogenemia undergoing IVF treatment. In addition, pyroptosis in GCs was demonstrated, which was significantly elevated in PCOS patients. To clarify the association of hyperandrogenism, inflammation, and pyroptosis activation in PCOS, dehydroepiandrosterone(DHEA)-treated mouse PCOS model and T-treated KGN cell line were explored for PCOS mechanism. Markers of inflammatory activation and pyroptosis were significantly increased after DHEA treatment in mice and T treatment in KGN cells. In addition, ER stress sensor proteins were increased simultaneously. However, suppression of inflammation by genipin(GP) led to decreased pyroptosis in KGN cells but no variation in ER stress sensor proteins. In contrast, when treated with tauroursodeoxycholic acid(TUDCA) to attenuate ER stress, the markers of inflammatory factors were significantly reduced, accompanied by a reduction in pyroptosis. Our results suggest that persistent hyperandrogenemia of PCOS promotes local inflammatory activation of the ovary, and the imbalanced inflammatory microenvironment leads to pyroptosis of GCs, which is mediated by ER stress activation.

Deciphering the DNA methylome in women with PCOS diagnosed using the new international evidence-based guidelines

STUDY QUESTION

Is there any methylome alteration in women with PCOS who were diagnosed using the new international evidence-based guidelines?

SUMMARY ANSWER

A total of 264 differentially methylated probes (DMPs) and 53 differentially methylated regions (DMRs) were identified in patients with PCOS and healthy controls.

WHAT IS KNOWN ALREADY

PCOS is a common endocrine disorder among women of reproductive age and polycystic ovarian morphology (PCOM) is one of the main features of the disease. Owing to the availability of more sensitive ultrasound machines, the traditional diagnosis of PCOM according to the Rotterdam criteria (≥12 antral follicles per ovary) is currently debated as there is a risk of overdiagnosis. The new international evidence-based guidelines set the threshold for PCOM as ≥20 antral follicles per ovary when using endovaginal ultrasound transducers with a frequency bandwidth that includes 8 MHz. However, current DNA methylation studies in PCOS are still based on the Rotterdam criteria. This study aimed to explore aberrant DNA methylation in patients diagnosed with PCOS according to the new evidence-based guidelines.

STUDY DESIGN, SIZE, DURATION

This cross-sectional case-control study included 34 PCOS cases diagnosed using new international evidence-based guidelines and 36 controls.

PARTICIPANTS/MATERIALS, SETTING, METHODS

A total of 70 women, including 34 PCOS cases and 36 controls, were recruited. DNA extracted from whole blood samples of participants were profiled using array technology. Data quality control, preprocessing, annotation, and statistical analyses were performed. Least absolute shrinkage and selection operator (LASSO) regression were used to build a PCOS diagnosis model with DNA methylation sites.

MAIN RESULTS AND THE ROLE OF CHANCE

We identified 264 DMPs between PCOS cases and controls, which were mainly located in intergenic regions or gene bodies of the genome, CpG open sea sites, and heterochromatin of functional elements. Pathway enrichment analysis showed that DMPs were significantly enriched in biological processes involved in triglyceride regulation. Three of these DMPs overlapped with the PCOS susceptibility genes thyroid adenoma-associated protein (THADA), aminopeptidase O (AOPEP), and tripartite motif family-like protein 2 (TRIML2). Fifty-three DMRs were identified and their annotated genes were largely enriched in allograft rejection, thyroid hormone production, and peripheral downstream signaling effects. Two DMRs were closely related to the PCOS susceptibility genes, potassium voltage-gated channel subfamily A member 4 (KCNA4) and farnesyl-diphosphate farnesyltransferase 1 (FDFT1). Finally, based on LASSO regression, we built a methylation marker model with high accuracy for PCOS diagnosis (AUC=0.952).

LIMITATIONS, REASONS FOR CAUTION

The study cohort was single-center and the sample size was relatively limited. Further analyses with a larger number of participants are required.

WIDER IMPLICATIONS OF THE FINDINGS

This is the first study to identify DNA methylation alterations in women with PCOS diagnosed using the new international evidence-based guideline, and it provided new molecular insight into the application of the new guidelines.

STUDY FUNDING/COMPETING INTEREST(S)

This study was supported by the National Key Research and Development Program of China (2021YFC2700400), Basic Science Center Program of NSFC (31988101), CAMS Innovation Fund for Medical Sciences (2021-I2M-5-001), National Natural Science Foundation of China (32370916, 82071606, 82101707, 82192874, and 31871509), Shandong Provincial Key Research and Development Program (2020ZLYS02), Taishan Scholars Program of Shandong Province (ts20190988), and Fundamental Research Funds of Shandong University. The authors declare no conflicts of interest.

TRIAL REGISTRATION NUMBER

N/A.

Expression of genes and enzymes involved in ovarian steroidogenesis in relation to human follicular development

Introduction

Granulosa cells (GCs) and theca cells (TCs) play a pivotal role in human ovarian steroidogenesis, facilitating the conversion of cholesterol into sex steroids that regulate normal reproductive function. This study aims to explore the expression patterns of key enzymes that govern human ovarian steroidogenesis throughout follicle development, employing both genomic and immunological methodologies.

Methods

Follicles and GCs obtained from women undergoing ovarian tissue cryopreservation (OTC) and in vitro fertilisation treatment were utilized. Gene expression data were obtained from a Chinese study using RNA sequencing and from microarray data generated in our laboratory to comprehensively analyse gene expression profiles across distinct stages of follicular development. To corroborate the localisation of key enzymes within GCs and TCs, immunohistochemistry analyses utilizing colourimetric and fluorescent techniques were conducted.

Results

Steroidogenesis-related enzymes displayed low gene expression levels during early follicle development. However, a notable upregulation of HSD3B2 was observed in GCs as follicles progressed to the antral/preovulatory stage, confirmed consistently using both microarray and RNA sequencing methodologies. Furthermore, immunohistochemical analyses effectively demonstrated that HSD3B2 were not only expressed in GCs, but co-localised with CYP17A1 within a specific subset of TCs surrounding human small antral follicles. Contributing to an enhanced progesterone production during the second half of the follicular phase was a significant upregulation of CYB5A in both microarray and RNA-seq datasets as follicles transition from the antral stage to the pre-ovulatory stage. Moreover, an augmented expression of DHCR24 and LDLR in both types of data, along with HMGCR expression expression in the microarray data, indicates increased substrate availability for ovarian steroidogenesis.

Discussion

This study confirms and extends that GCs gradually augment expression of HSD3B2 thereby enhancing their capacity for progesterone synthesis as follicles reach the size of selection at around 10 mm in diameter. This is supported by the expression CYB5A and possibly augmented availability of steroid precursors. A subset of TCs exhibit concurrent expression of CYP17A1 and HSD3B2, collectively contributing to the synthesis of 17-hydroxyprogesterone. These data significantly enhance our understanding of the dynamic regulation of progesterone throughout the process of follicular development.

Semaglutide Treatment of Excessive Body Weight in Obese PCOS Patients Unresponsive to Lifestyle Programs

In spite of the widespread use of lifestyle modifications programs, many patients with PCOS are obese and prevalence of obesity in PCOS remains high. In this study, we present the data on the use of semaglutide, an incretin mimetic drug, in obese PCOS patients who were unresponsive to a lifestyle modification program. Twenty-seven obese patients with a diagnosis of PCOS, who did not reduce their body weight by a lifestyle modification program, were included in this study and treated by semaglutide, 0.5 mg subcutaneously once a week. After three months of treatment, an improvement in body weight with a mean decrease in body weight of 7.6 kg and a mean BMI loss of 3.1 was observed, while very few side effects were reported. Almost 80% of the studied obese PCOS patients obtained at least a 5% decrease in their body weight. Only a few patients (22%) obtained a decrease in body weight lower than 5% and were considered non-responsive to semaglutide, at least at the used doses. These patients presented a more severe obesity than responsive patients. Independently of results on body weight, and in patients who did not obtain a 5% decrease in their body weight, insulin basal values decreased, and HOMA-IR improved. Fasting blood glucose normalized in 80% of semaglutide-treated IFG PCOS women. In patients who were responsive to semaglutide (weight loss > 5%), the treatment was continued for additional three months. Weight loss slowed but continued and, at the end of the six months of therapy, the mean body weight loss was 11.5 kg and mean BMI reduced from 34.4 to 29.4. A total of 80% of responsive patients normalized menstrual cycles. In conclusion, treatment with semaglutide, at low doses, significantly reduces body weight in almost 80% of obese PCOS patients who were unresponsive to a previous lifestyle plan. It is often associated with the normalization of menstrual cycles, and these important results are obtained with very few side effects.

Hepatokine Profile in Adolescents with Polycystic Ovary Syndrome: A Case-Control Study

The current guidelines suggest routine screening for non-alcoholic fatty liver disease (NAFLD) in patients with polycystic ovary syndrome (PCOS). Hepatokines seem to be promising surrogate endpoints for the diagnosis and severity of NAFLD. PCOS has its onset in adolescence and its metabolic sequalae begin during the same period. There are scarce data on the hepatokine profile of adolescent PCOS patients. This case-control study examined the serum profile of the hepatokines sex hormone-binding globulin (SHBG), selenoprotein P, fibroblast growth factor 21 (FGF21), and fetuin A in a sample of adolescent PCOS patients, and their association to metabolic and hormonal parameters. The selenoprotein P and SHBG serum concentrations were significantly decreased in PCOS patients vs. the controls (median (IQR), 2.47 (0.40) vs. 2.66 (0.36) μg/mL, p = 0.025; mean ± SD, 41.71 ± 19.41 vs. 54.94 ± 22.12 nmol/L, p = 0.011, respectively), whereas selenoprotein P was significantly and positively associated with testosterone (r = 0.325, p = 0.007) and the free androgen index (r = 0.361, p = 0.002). The SHBG demonstrated multiple significant negative correlations with adverse metabolic parameters. Among the PCOS patients, the FGF21 concentrations were significantly higher in those with NAFLD, whereas a 1 pg/mL increase in the FGF21 concentration increased the odds of NAFLD diagnosis by liver ultrasound by 1%, suggesting FGF21 as a potential biomarker for hepatic disease in females with PCOS in adolescence. Fetuin A was the least differentiated hepatokine between the PCOS patients and controls with the least associations with metabolic and hormonal parameters.

Ovarian volume is more closely related to the different manifestations of polycystic ovary syndrome than follicle number per ovary

OBJECTIVE

Polycystic ovary (PCO), a diagnostic component of polycystic ovary syndrome (PCOS), requires either an ovarian volume (OV) criterion or a follicle number per ovary (FNPO) criterion. This study investigated the association of OV and FNPO criteria with various manifestations of PCOS.

METHODS

This cross-sectional study was conducted at a university hospital among 100 patients newly diagnosed with PCOS (according to the revised Rotterdam criteria). Fasting blood samples were collected to measure glucose, total testosterone (TT), luteinizing hormone (LH), follicle-stimulating hormone (FSH), lipid, insulin, and hemoglobin A1c levels. An oral glucose tolerance test was performed. Transabdominal or transvaginal ultrasound of the ovaries was done, depending on patients' marital status. All investigations were conducted in the follicular phase of the menstrual cycle. OV >10 mL and/or FNPO ≥12 indicated PCO. A homeostasis model assessment of insulin resistance (IR) value ≥2.6 indicated IR, and metabolic syndrome (MS) was defined according to the international harmonization criteria.

RESULTS

Seventy-six participants fulfilled the OV criterion, 70 fulfilled the FNPO criterion, and 89 overall had PCO. Both maximum OV and mean OV had a significant correlation with TT levels (r=0.239, p=0.017 and r=0.280, p=0.005, respectively) and the LH/FSH ratio (r=0.212, p=0.034 and r=0.200, p=0.047, respectively). Mean OV also had a significant correlation with fasting insulin levels (r=0.210, p=0.036). Multivariate binary logistic regression analysis showed that IR (odds ratio [OR], 9.429; 95% confidence interval [CI], 1.701 to 52.271; p=0.010) and MS (OR, 7.952; 95% CI, 1.821 to 34.731; p=0.006) had significant predictive associations with OV alone, even after adjustment for age and body mass index.

CONCLUSION

OV may be more closely related to the androgenic and metabolic characteristics of PCOS than FNPO.

Diagnostic challenges and management advances in cytochrome P450 oxidoreductase deficiency, a rare form of congenital adrenal hyperplasia, with 46, XX karyotype

Cytochrome P450 oxidoreductase deficiency (PORD) is a rare form of congenital adrenal hyperplasia that can manifest with skeletal malformations, ambiguous genitalia, and menstrual disorders caused by cytochrome P450 oxidoreductase (POR) mutations affecting electron transfer to all microsomal cytochrome P450 and some non-P450 enzymes involved in cholesterol, sterol, and drug metabolism. With the advancement of molecular biology and medical genetics, increasing numbers of PORD cases were reported, and the clinical spectrum of PORD was extended with studies on underlying mechanisms of phenotype-genotype correlations and optimum treatment. However, diagnostic challenges and management dilemma still exists because of unawareness of the condition, the overlapping manifestations with other disorders, and no clear guidelines for treatment. Delayed diagnosis and management may result in improper sex assignment, loss of reproductive capacity because of surgical removal of ruptured ovarian macro-cysts, and life-threatening conditions such as airway obstruction and adrenal crisis. The clinical outcomes and prognosis, which are influenced by specific POR mutations, the presence of additional genetic or environmental factors, and management, include early death due to developmental malformations or adrenal crisis, bilateral oophorectomies after spontaneous rupture of ovarian macro-cysts, genital ambiguity, abnormal pubertal development, and nearly normal phenotype with successful pregnancy outcomes by assisted reproduction. Thus, timely diagnosis including prenatal diagnosis with invasive and non-invasive techniques and appropriate management is essential to improve patients' outcomes. However, even in cases with conclusive diagnosis, comprehensive assessment is needed to avoid severe complications, such as chromosomal test to help sex assignment and evaluation of adrenal function to detect partial adrenal insufficiency. In recent years, it has been noted that proper hormone replacement therapy can lead to decrease or resolve of ovarian macro-cysts, and healthy babies can be delivered by in vitro fertilization and frozen embryo transfer following adequate control of multiple hormonal imbalances. Treatment may be complicated with adverse effects on drug metabolism caused by POR mutations. Unique challenges occur in female PORD patients such as ovarian macro-cysts prone to spontaneous rupture, masculinized genitalia without progression after birth, more frequently affected pubertal development, and impaired fertility. Thus, this review focuses only on 46, XX PORD patients to summarize the potential molecular pathogenesis, differential diagnosis of classic and non-classic PORD, and tailoring therapy to maintain health, avoid severe complications, and promote fertility.

How to Choose the Optimal Starting Dose of Clomiphene Citrate (50 or 100 mg per Day) for a First Cycle of Ovulation Induction in Anovulatory PCOS Women?

RESEARCH QUESTION

Clomiphene citrate (CC) is one of the first-line treatments for ovulation induction in women with anovulatory polycystic ovary syndrome (PCOS). However, nearly 1 out of 2 women is resistant to 50 mg/day of CC. The objective of this study is to investigate the clinical, biological, and/or ultrasound factors that may predict the resistance to 50 mg/day of CC in the first cycle of treatment in women with anovulatory PCOS. This would make it possible to identify PCOS patients to whom the dose of 100 mg/day would be offered as of the first cycle.

DESIGN

A retrospective and monocentric study was conducted on 283 women with anovulatory PCOS who required the use of ovulation induction with CC (903 cycles).

RESULTS

During the first cycle of treatment, 104 patients (36.8%) were resistant to 50 mg/day of CC. Univariate regression analysis showed that patients who resisted 50 mg/day of CC had significantly higher BMI, waist circumference, serum levels of AMH, total testosterone, Δ4-androstenedione, 17-OHP, and insulin (p < 0.05), compared to patients ovulating with this dose. Serum levels of SHBG were significantly lower in patients resistant to 50 mg/day (p < 0.05). After multivariate analysis, only AMH and SHBG remained statistically significant (p = 0.01 and p = 0.001, respectively). However, areas under the ROC curves were weak (0.59 and 0.68, respectively).

CONCLUSION

AMH and SHBG are the only two parameters significantly associated with the risk of resistance to 50 mg/day of CC. However, no satisfactory thresholds have been established to predict resistance to 50 mg CC.

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.

High-Resolution Single-Shot Fast Spin-Echo MR Imaging with Deep Learning Reconstruction Algorithm Can Improve Repeatability and Reproducibility of Follicle Counting

OBJECTIVE

To investigate the diagnostic performance of high-resolution single-shot fast spin-echo (SSFSE) imaging with deep learning (DL) reconstruction algorithm on follicle counting and compare it with original SSFSE images and conventional fast spin-echo (FSE) images.

METHODS

This study included 20 participants (40 ovaries) with clinically confirmed polycystic ovary syndrome (PCOS) who underwent high-resolution ovary MRI, including three-plane T2-weighted FSE sequences and slice-matched T2-weighted SSFSE sequences. A DL reconstruction algorithm was applied to the SSFSE sequences to generate SSFSE-DL images, and the original SSFSE images were also saved. Subjective evaluations such as the blurring artifacts, subjective noise, and clarity of the follicles on the SSFSE-DL, SSFSE, and conventional FSE images were independently conducted by two observers. Intra-class correlation coefficients and Bland-Altman plots were used to present the repeatability and reproducibility of the follicle number per ovary (FNPO) based on the three types of images.

RESULTS

SSFSE-DL images showed less blurring artifact, subjective noise, and better clarity of the follicles than SSFSE and FSE (p < 0.05). For the repeatability of the FNPO, SSFSE-DL showed the highest intra-observer (ICC = 0.930; 95% CI: 0.878-0.962) and inter-observer (ICC = 0.914; 95% CI: 0.843-0.953) agreements. The inter-observer 95% limits of agreement (LOA) for SSFSE-DL, SSFSE, and FSE ranged from -3.7 to 4.5, -4.4 to 7.0, and -7.1 to 7.6, respectively. The intra-observer 95% LOA for SSFSE-DL, SSFSE, and FSE ranged from -3.5 to 4.0, -5.1 to 6.1, and -5.7 to 4.2, respectively. The absolute values of intra-observer and inter-observer differences for SSFSE-DL were significantly lower than those for SSFSE and FSE (p < 0.05).

CONCLUSIONS

Compared with the original SSFSE images and the conventional FSE images, high-resolution SSFSE images with DL reconstruction algorithm can better display follicles, thus improving FNPO assessment.

Polycystic Ovary Syndrome: Pathophysiology and Controversies in Diagnosis

Polycystic ovary syndrome (PCOS) is a complex and heterogeneous disorder that commonly affects women in the reproductive age group. The disorder has features that propose a blend of functional reproductive disorders, such as anovulation and hyperandrogenism, and metabolic disorders, such as hyperglycemia, hypertension, and obesity in women. Until today, the three implemented groups of criteria for the diagnosis of PCOS are from the National Institutes of Health (NIH) in the 1990s, Rotterdam 2003, and the Androgen Excess Polycystic Ovary Syndrome 2009 criteria. Currently, the most widely utilized criteria are the 2003 Rotterdam criteria, which validate the diagnosis of PCOS with the incidence of two out of the three criteria: hyperandrogenism (clinical and/or biochemical), irregular cycles, and polycystic ovary morphology. Currently, the anti-Müllerian hormone in serum is introduced as a substitute for the follicular count and is controversially emerging as an official polycystic ovarian morphology/PCOS marker. In adolescents, the two crucial factors for PCOS diagnosis are hyperandrogenism and irregular cycles. Recently, artificial intelligence, specifically machine learning, is being introduced as a promising diagnostic and predictive tool for PCOS with minimal to zero error that would help in clinical decisions regarding early management and treatment. Throughout this review, we focused on the pathophysiology, clinical features, and diagnostic challenges in females with PCOS.

The diagnostic performance of antimullerian hormone for polycystic ovarian syndrome and polycystic ovarian morphology

PURPOSE

The diagnosis of polycystic ovary syndrome (PCOS) remains a challenge to clinicians due to heterogeneous clinical presentation and diagnostic criteria. This study investigated the utilization of Anti-Müllerian hormone (AMH) alone or replacing polycystic ovarian morphology (PCOM) in the PCOS diagnostic criteria.

METHODS

A total of 401 women were categorised as PCOS (n:154), nonPCOS with polycystic ovarian morphology (PCOM) (n:105), and nonPCOS with normal ovarian morphology (NOM) (n:142). First, the diagnostic performance of AMH for PCOS diagnosis in Rotterdam, Androgen Excess Society, and National Institutes of Health (NIH) criteria was analyzed. Second, AMH was used instead of PCOM in Rotterdam criteria and we searched diagnostic performance for PCOS phenotypes.

RESULTS

AMH levels were positively correlated with LH, testosterone, hirsutism score, menstrual cycle length, and antral follicle count (p < 0.05). AMH alone had specificity and sensitivity for PCOS diagnosis were 84.9% and 72.4% in Rotterdam (AUC: 0.866); 84.4% and 72% in Androgen Excess Society (AUC: 0.857); 83.3% and 66.4% in National Institute of Health criteria (AUC: 0.825). AMH alone had satisfactory diagnostic potential for phenotype A, but not other phenotypes. The replacement of PCOM with AMH in Rotterdam criteria had a high diagnostic potential for PCOS (AUC: 0.934, sensitivity:97.4%, specificity: 90.67%). Phenotype A and phenotype D were diagnosed with 100% sensitivity and 94.5% specificity. Phenotype C was recognised with 96.15% sensitivity and 94.5% specificity.

CONCLUSION

AMH may be used with high diagnostic accuracy instead of PCOM in the Rotterdam PCOS criteria.

Regulatory mechanism and research progress of ferroptosis in obstetrical and gynecological diseases

Ferroptosis is a novel type of regulated cell death driven by iron-dependent lipid peroxidation, which is distinguished from traditional types of programmed cell death, such as apoptosis, proptosis and necrosis et al. Impaired iron homeostasis, lipid peroxidation and antioxidants depletion are three hallmarks of ferroptosis. Over the past years, emerging studies support the notion that ferroptosis might be involved in the pathology of obstetrical and gynecological diseases, including preeclampsia (PE), endometriosis (EMs) and polycystic ovarian syndrome (PCOS). In the PE condition, the high sensitivity of trophoblasts towards ferroptosis has been found to potentially link to inflammation, suboptimal vascular remodeling and aberrant hemodynamics, which are three prominent pathophysiological features of PE. As for EMs, compromised ferroptosis of endometrial cells was associated with the formation ectopic lesions, whereas in the nearby lesions, the presence of ferroptosis was suggested to promote the progression of EMs, contributing to the relative clinical manifestations. Ferroptosis has been implicated a crucial role in the initiation of ovarian follicular atresia, which might help to manage ovulation in PCOS patients. Taken together, this review explored the basis of ferroptosis mechanisms and comprehensively summarized the latest discovery of roles of ferroptosis on PE, EMs and PCOS, gaining a deeper insight into the pathogenesis of these obstetrical and gynecological diseases and investigation of novel therapeutic interventions.

Current Guidelines for Diagnosing PCOS

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder of reproductive-aged women. Much of the confusion surrounding PCOS diagnosis stems from the broad heterogeneity of symptomology experienced by women with PCOS. The diverse features of the syndrome have led to a number of diagnostic criteria over the years. This manuscript describes each of the current composite criteria and individually breaks down each component. The importance of accurate diagnosis for both clinical care and research is emphasized.

Association of Oxidative Stress with Kidney Injury in a Hyperandrogenemic Female Rat Model

Background

Polycystic ovary syndrome (PCOS) is the most common reproductive dysfunction in premenopausal women. PCOS is associated with oxidative stress (OS), which is the main risk factor for renal diseases. This study aimed to investigate the mechanisms responsible for renal injury in a hyperandrogenemic female rat model.

Methods

This study was conducted from December 2019 to September 2021 at Shiraz Nephro-Urology Research Centre, Shiraz University of Medical Sciences (Shiraz, Iran). Thirty female Sprague-Dawley rats were randomly divided into three groups (n=10), namely control, sham, and dehydroepiandrosterone (DHEA). Plasma total testosterone, plasma creatinine (Cr), and blood urea nitrogen (BUN) levels were measured. In addition, total oxidant status (TOS), total antioxidant capacity (TAC), oxidative stress index (OSI), and histopathological changes in the ovaries and kidneys were determined. Data were analyzed using the GraphPad Prism software, and P<0.05 was considered statistically significant.

Results

Plasma total testosterone levels increased by nine-fold in DHEA-treated rats compared to controls (P=0.0001). Administration of DHEA increased Cr and BUN levels and caused severe renal tubular cell injury. In addition, plasma and tissue (kidney and ovary) TAC levels decreased significantly, but TOS levels and OSI values were significantly increased (P=0.019). Significant damage to both glomerular and tubular parts of the kidney and ovarian follicular structure was observed in the DHEA group.

Conclusion

Hyperandrogenemia caused systemic abnormalities through OS-related mechanisms and damaged renal and ovarian tissues. DHEA treatment in rat models is recommended to study the mechanisms that mediate PCOS-associated renal injury.

The physiological sonographic features of the ovary in healthy subjects: a joint systematic review and meta-analysis by the Italian Society of Gynecology and Obstetrics (SIGO) and the Italian Society of Endocrinology (SIE)

PURPOSE

There is a lack of uniformity in the definition of normal ovary ultrasound parameters. Our aim was to summarize and meta-analyze the evidence on the topic. Full-text English articles published through December 31, 2020 were retrieved via MEDLINE and Embase. Data available for meta-analysis included: ovarian follicular count, ovarian volume, and ovarian Pulsatility Index (PI) assessed by Doppler ultrasound.

METHODS

Cohort, cross-sectional, prospective studies with a single or double arm were considered eligible. Interventional studies were included when providing baseline data. Both studies on pre- and post-menopausal women were screened; however, data on menopausal women were not sufficient to perform a meta-analysis. Studies on pre-pubertal girls were considered separately. Eighty-one papers were included in the meta-analysis.

RESULTS

The mean ovarian volume was 6.11 [5.81-6.42] ml in healthy women in reproductive age (5.81-6.42) and 1.67 ml [1.02-2.32] in pre-pubertal girls. In reproductive age, the mean follicular count was 8.04 [7.26-8.82] when calculated in the whole ovary and 5.88 [5.20-6.56] in an ovarian section, and the mean ovarian PI was 1.86 [1.35-2.37]. Age and the frequency of the transducers partly modulated these values. In particular, the 25-30-year group showed the higher mean follicular count (9.27 [7.71-10.82]), followed by a progressive age-related reduction (5.67 [2.23-9.12] in fertile women > 35 years). A significant difference in follicular count was also found according to the transducer's upper MHz limit.

CONCLUSION

Our findings provide a significant input to improve the interpretation and diagnostic accuracy of ovarian ultrasound parameters in different physiological and pathological settings.

The reference value of anti-Müllerian hormone to diagnose polycystic ovary syndrome is inversely associated with BMI: a retrospective study

BACKGROUND

This study aimed to evaluate the cut-off value of anti-Müllerian hormone (AMH) combined with body mass index (BMI) in the diagnosis of polycystic ovary syndrome (PCOS) and polycystic ovary morphology (PCOM).

METHODS

This retrospective study included 15,970 patients: 3775 women with PCOS, 2879 women with PCOM, and 9316 patients as controls. Multivariate logistic regression analysis was used to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for AMH. We randomly divided the patients into two data sets. In dataset 1, a receiver operating characteristic (ROC) curve was generated to analyze the accuracy of basic AMH levels in diagnosing PCOS and PCOM. The optimal cut-off value was calculated in dataset 1 and validated in dataset 2, expressed as sensitivity and specificity.

RESULTS

In the PCOS group, obese patients had the lowest AMH levels, while underweight patients had the highest AMH level (P < 0.001). After adjusting for age, the ratio of luteinizing hormone (LH) and follicle stimulating hormone (FSH), serum testosterone level, and BMI, AMH was an independent predictor of PCOS and PCOM. In the group with BMI < 18.5 kg/m², the optimistic AMH cut-off value was 5.145 ng/mL with a sensitivity of 84.3% and specificity of 89.1%, whereas in the BMI ≥ 28 kg/m² group, the optimistic AMH cut-off value was 3.165 ng/mL with a sensitivity of 88.7% and specificity of 74.6%. For the BMI range categories of 18.5-24, 24.0-28 kg/m², the optimistic AMH cut-off values were 4.345 ng/mL and 4.115 ng/mL, respectively. The tendency that the group with lower weight corresponded to higher AMH cut-off values was also applicable to PCOM. In the same BMI category, patients with PCOM had a lower AMH diagnosis threshold than those with PCOS (< 18.5 kg/m², 5.145 vs. 4.3 ng/mL; 18.5-24 kg/m², 4.345 vs. 3.635 ng/mL; 24.0-28 kg/m², 4.115 vs. 3.73 ng/mL; ≥ 28 kg /m², 3.165 vs. 3.155 ng/mL). These cut-off values had a good diagnostic efficacy in the validation dataset. Based on different phenotypes and severity of ovulation disorders, the distribution of AMH in PCOS were also significantly different (P < 0.001).

CONCLUSIONS

AMH is a potential diagnostic indicator of PCOS and is adversely associated with BMI. The AMH cut-off value for diagnosing PCOS was significantly higher than that for PCOM.

Diagnostic values of MRI indexes for polycystic ovary syndrome

BACKGROUND

Magnetic resonance imaging (MRI) is a useful non-invasive modality for observation of ovarian morphologic characteristics. Few studies have focused on the value of MRI-derived indexes in reproductive-aged women with polycystic ovary syndrome (PCOS).

PURPOSE

To assess the diagnostic value of MRI in women with PCOS.

MATERIAL AND METHODS

This prospective case-control study included 85 women with PCOS and 50 controls who underwent pelvic MRI during 2017-2019. Ovarian volume (OV), follicle count (FC; counts of follicles sizing 2-3, 4-6, 7-9, 2-9 mm, respectively), follicular peripheral distribution, absence of a dominant follicle and stromal to total area ratio (S:A) were determined with MRI. The diagnostic value (sensitivity, specificity, area under the receiver operating characteristic curve [AUC]) of OV, FC2-9, and follicular peripheral distribution for PCOS were assessed.

RESULTS

The AUCs were 0.94 for OV, 0.96 for FC2-9, and 0.78 for follicular peripheral distribution. The optimal threshold to detect PCOS was 8.5 mL for OV (sensitivity 78%; specificity 96%) and 26 for FC2-9 (sensitivity 85%; specificity 98%). Sensitivity and specificity were 73% and 82% for follicular peripheral distribution, respectively. Reproducibility was perfect for OV (ICC = 0.96) and absence of a dominant follicle (k = 0.85), substantial for FC2-9 (ICC = 0.79) and S:A (ICC = 0.69), and moderate for follicular peripheral distribution (k = 0.56).

CONCLUSION

Detected by MRI, OV >8.5 mL or FC2-9 >26 are accurate for diagnosing PCOS.

Diagnostic Performance of Ovarian Morphology on Ultrasonography across Anovulatory Conditions-Impact of Body Mass Index

The study objectives were to determine whether ovarian morphology can distinguish between women with regular menstrual cycles, normo-androgenic anovulation (NA-Anov), and PCOS and whether body mass index (BMI)-specific thresholds improved diagnostic potential. Women with PCOS (biochemical and/or clinical hyperandrogenism and irregular cycles; N = 66), NA-Anov (irregular cycles without clinical and/or biochemical hyperandrogenism; N = 64), or regular cycles (controls; cycles every 21-35 days in the absence of clinical or biochemical hyperandrogenism; N = 51) were evaluated. Participants underwent a reproductive history, physical exam, transvaginal ultrasound, and a fasting blood sample. Linear regression analyses were used to assess the impact of BMI on ovarian morphology across groups. The diagnostic performance of ovarian morphology for anovulatory conditions, and by BMI (lean: <25 kg/m²; overweight: ≥25 kg/m²), was tested using Receiver Operating Characteristic (ROC) curves. Follicle number per ovary (FNPO) and ovarian volume (OV), but not follicle number per cross-section (FNPS), increased across controls, NA-Anov, and PCOS. Overall, FNPO had the best diagnostic performance for PCOS versus controls (AUC_ROC = 0.815) and NA-Anov and controls (AUC_ROC = 0.704), and OV to differentiate between PCOS and NA-Anov (AUC_ROC = 0.698). In lean women, FNPO best differentiated between PCOS and controls (AUC_ROC = 0.843) and PCOS versus NA-Anov (AUC_ROC = 0.710). FNPS better distinguished between NA-Anov and controls (AUC_ROC = 0.687), although diagnostic performance was lower than when thresholds were generated using all participants. In women with overweight and obesity, OV persisted as the best diagnostic feature across all analyses (PCOS versus control, AUC_ROC = 0.885; PCOS versus NA-Anov, AUC_ROC = 0.673; NA-Anov versus controls, AUC_ROC = 0.754). Ovarian morphology holds diagnostic potential to distinguish between NA-Anov and PCOS, with marginal differences in diagnostic potential when participants were stratified by BMI suggesting that follicle number may provide better diagnostic performance in lean women and ovarian size in those with overweight.

Polycystic ovary syndrome and adipose tissue

Polycystic ovary syndrome (PCOS) is the most common endocrine metabolic disorder in women of reproductive age. Typically, it is associated with ovulatory dysfunction: dysovulation or anovulation, and symptoms of hyperandrogenism. It incurs risk of metabolic disorders such as diabetes, dyslipidemia and fatty liver. As a key endocrine organ in metabolic homeostasis, adipose tissue is often implicated in these complications. Studies of white adipose tissue (WAT) in PCOS have focused on the mechanism of insulin resistance in this tissue. Clinically, abnormalities in WAT distribution are seen, with decreased waist-to-hip ratio and increased ratio of adipose to lean mass. Such abnormalities are greater when total circulating androgens are elevated. At tissue level, white adipocyte hyperplasia occurs, along with infiltration of macrophages. Secretion of adipokines, cytokines and chemo-attractant proteins is increased in a pro-inflammatory manner, leading to reduced insulin sensitivity via alteration of glucose transporters, and hence decreased glucose uptake. The kinetics of non-esterified fatty acids (or free fatty acids) is also altered, leading to lipotoxicity. In recent years, brown adipose tissue (BAT) has been studied in women with PCOS. Although abundance is low in the body, BAT appears to play a significant role in energy expenditure and metabolic parameters. Both supra-clavicular skin temperature, which reflects BAT activity, and BAT mass are reduced in women with PCOS. Moreover, BAT mass and body mass index (BMI) are inversely correlated in patients. In the adipocyte, increased total circulating androgen levels reduce expression of uncoupling protein 1 (UCP1), a key protein in the brown adipocyte, leading to reduced biogenesis and mitochondrial respiration and hence a reduction in post-prandial thermogenesis. BAT is currently being investigated as a possible new therapeutic application.

Deconstructing a Syndrome: Genomic Insights Into PCOS Causal Mechanisms and Classification

Polycystic ovary syndrome (PCOS) is among the most common disorders in women of reproductive age, affecting up to 15% worldwide, depending on the diagnostic criteria. PCOS is characterized by a constellation of interrelated reproductive abnormalities, including disordered gonadotropin secretion, increased androgen production, chronic anovulation, and polycystic ovarian morphology. It is frequently associated with insulin resistance and obesity. These reproductive and metabolic derangements cause major morbidities across the lifespan, including anovulatory infertility and type 2 diabetes (T2D). Despite decades of investigative effort, the etiology of PCOS remains unknown. Familial clustering of PCOS cases has indicated a genetic contribution to PCOS. There are rare Mendelian forms of PCOS associated with extreme phenotypes, but PCOS typically follows a non-Mendelian pattern of inheritance consistent with a complex genetic architecture, analogous to T2D and obesity, that reflects the interaction of susceptibility genes and environmental factors. Genomic studies of PCOS have provided important insights into disease pathways and have indicated that current diagnostic criteria do not capture underlying differences in biology associated with different forms of PCOS. We provide a state-of-the-science review of genetic analyses of PCOS, including an overview of genomic methodologies aimed at a general audience of non-geneticists and clinicians. Applications in PCOS will be discussed, including strengths and limitations of each study. The contributions of environmental factors, including developmental origins, will be reviewed. Insights into the pathogenesis and genetic architecture of PCOS will be summarized. Future directions for PCOS genetic studies will be outlined.

Increased Prevalence of Elevated DHEAS in PCOS Women with Non-Classic (B or C) Phenotypes: A Retrospective Analysis in Patients Aged 20 to 29 Years

It is well known that a subgroup of women with PCOS present an excessive adrenal androgen production, generally associated with ovarian hyperandrogenism. In the past, it has been impossible to correlate adrenal hyperandrogenism to any clinical or hormonal pattern of PCOS. However, adrenal androgens are strictly dependent on age and their blood values reduce by 40% in patients moving from their twenties to thirties. Due to this, serum DHEAS values are strongly influenced by the age distribution of studied populations. To avoid this bias, in this study we retrospectively analyzed the clinical and hormonal data of PCOS women in their twenties (age between 20 and 29 years). Data of 648 young hyperandrogenic women with PCOS were evaluated. Serum DHEAS was increased in a third (33%) of studied patients and was associated with higher values of testosterone (T) and androstenedione (A). In each phenotype, patients with high DHEAS had higher values of T and A than patients with normal DHEAS of the same phenotype. Therefore, a DHEAS increase is generally part of a generalized higher androgen production in a subgroup of PCOS patients, independently of the finding of anovulatory or ovulatory cycles or of polycystic or normal ovaries. However, our study showed some important differences between PCOS phenotypes. A lower prevalence of increased DHEAS in A phenotype PCOS patients who generally have the highest androgen levels, versus non-classic (B or C) PCOS phenotypes, was observed. It was also found that patients with A phenotype PCOS present significantly lower BMI and serum insulin than patients with normal DHEAS of the same phenotype while, in patients with the B or C phenotype, the opposite occurs. We conclude that adrenal hyperandrogenism is more common in patients with non-classic (B and C) phenotypes of PCOS and is generally part of a generalized higher production of androgens in a subgroup of PCOS patients. However, other factors may increase the adrenal androgen production and influence the clinical expression of the syndrome. More studies in large, selected for age, populations of PCOS women with different phenotypes are needed.

Early diagnosis in polycystic ovary syndrome

ABSTRACT

NPs are in an ideal position to educate patients on the lifelong implications of polycystic ovary syndrome (PCOS). A timely diagnosis and comprehensive plan are needed to appropriately manage patients with PCOS. This article highlights diagnostic criteria, common comorbid conditions, psychological impacts of the clinical manifestations, management approaches, and implications for NPs.

The FIGO Ovulatory Disorders Classification System

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding, and infertility, and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical, and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical, and procedural interventions. Collaborative research, effective education, and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to WHO, was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This manuscript describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians, and trainees using the "GAIN-FIT-PIE" mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care, and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.

Key signalling pathways underlying the aetiology of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a common endocrine condition characterised by a range of reproductive, endocrine, metabolic and psychological abnormalities. Reports estimate that around 10% of women of reproductive age are affected by PCOS, representing a significant prevalence worldwide, which poses a high economic health burden. As the origin of PCOS remains largely unknown, there is neither a cure nor mechanism-based treatments leaving patient management suboptimal and focused solely on symptomatic treatment. However, if the underlying mechanisms underpinning the development of PCOS were uncovered then this would pave the way for the development of new interventions for PCOS. Recently, there have been significant advances in our understanding of the underlying pathways likely involved in PCOS pathogenesis. Key insights include the potential involvement of androgens, insulin, anti-Müllerian hormone and transforming growth factor beta in the development of PCOS. This review will summarise the significant scientific discoveries on these factors that have enhanced our knowledge of the mechanisms involved in the development of PCOS and discuss the impact these insights may have in shaping the future development of effective strategies for women with PCOS.

Ovarian volume as an independent marker for metabolic dysfunction in women with suspected androgen excess

Objective

To determine whether ovarian volume (OV) alone is an independent marker for metabolic dysfunction in women with suspected androgen excess.

Design

Retrospective cohort study.

Setting

Tertiary academic reproductive endocrinology clinic.

Patients

Women aged ≥21 years recruited/referred for symptoms related to androgen excess.

Interventions

Transvaginal ovarian ultrasound, physical and medical evaluation, 2-hour 75-g oral glucose tolerance test (oGTT), and blood sampling.

Main Outcome Measures

Prevalence of hyperandrogenism and metabolic dysfunction.

Results

This study included 666 women, of whom 412 (61.9%) and 254 had OVs of >10 and ≤10 mL, respectively. An OV of >10 mL was associated with a higher prevalence of hirsutism (65.1% vs. 51.5%) than an OV of ≤10 mL. Polycystic ovary syndrome by the National Institutes of Health 1990 criteria was found in 67.3% and 51.4% of women with OVs of >10 and ≤10 mL, respectively. Metabolic parameters, including body mass index, waist circumference, and 1-hour insulin levels during the oGTT (odds ratio, 1.98; 95% confidence interval, 1.18-3.31), were significantly higher in women with an OV of >10 mL than in those with an OV of ≤10 mL. An OV of ≤10 mL had a 76.3% negative predictive value for hyperinsulinemia at 1 hour.

Conclusions

In women with suspected androgen excess, an OV of >10 mL in at least 1 ovary is not associated with metabolic syndrome but is associated with younger age; an increased body mass index and waist circumference; a higher prevalence of hirsutism, oligoovulation, and polycystic ovary syndrome; and a higher 60-minute insulin level during the oGTT. Overall, an increased OV appears to be a good marker for hyperinsulinemia and hyperandrogenism in women suspected of having an androgen excess disorder.

Comparing Lean and Obese PCOS in Different PCOS Phenotypes: Evidence That the Body Weight Is More Important than the Rotterdam Phenotype in Influencing the Metabolic Status

Polycystic Ovary Syndrome (PCOS) represents a heterogeneous disorder and, using Rotterdam diagnostic criteria, four main phenotypes (A, B, C, and D) have been distinguished. However, it remains unclear whether lean versus obesity status influences findings in the various phenotypes of women with PCOS. 274 women with PCOS were consecutively assessed. Among these women, there were 149 with phenotype A, 24 with phenotype B, 94 with phenotype C, and 7 with phenotype D. We found normal body weight to be very common (65%) in phenotype C patients, common (43%) in phenotype A and D patients, and less represented (but still 25%) in phenotype B patients. Obesity was common in phenotype B (54%) and phenotype A (33%) patients and uncommon in phenotype C (only 11%) and phenotype D (14%) patients. Obese and lean patients of each phenotype were compared. Compared to the phenotype C PCOS patients, both phenotype A and B patients had higher total testosterone circulating values and higher luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (p < 0.01) while anti-Mullerian hormone (AMH) levels were higher only in phenotype A PCOS patients. Instead, in the three obese PCOS phenotypes no differences in serum insulin, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) calculation, and lipid blood values were observed. Analysis of data of lean patients gave similar results. Compared to the phenotype C PCOS patients, both phenotype A and B patients had higher total testosterone circulating values and higher LH/FSH ratio (p < 0.01) while AMH levels were higher only in phenotype A PCOS patients. However, no differences were observed in the circulating insulin levels, HOMA-IR calculation, or blood lipids between the three groups of lean PCOS patients. We conclude that Rotterdam phenotypes express the differences between PCOS patients in terms of ovulatory pattern and androgen secretion but fail to differentiate between obese patients with altered metabolic patterns and lean patients with normal metabolic patterns. A new classification of PCOS patients is needed and it should consider the influence of body weight on the metabolic patterns of PCOS patients.

Relationship between the follicular distribution pattern of polycystic ovaries and the degree of menstrual disturbance and serum sex steroid levels

Objective:

This study aimed to examine the associations between follicular distribution pattern (FDP) in polycystic ovaries and menstrual disturbances in women with infertility.

Materials and Methods:

A retrospective review of patients was performed (n=73). Ultrasound images from cycle day 2-5 of a spontaneous or progestin induced menstrual cycle were reviewed. Ovaries were classified as polycystic ovarian morphology (PCOM) if they contained ≥12-follicles measuring 2-9 mm in diameter. Images of PCOM ovaries were classified as having a peripheral cystic pattern (PCP) with follicles arranged at the periphery of the ovary, or general cystic pattern (GCP) if follicles were dispersed heterogeneously throughout the ovarian stroma. Menstrual disturbance was assessed by questionnaire, and oligomenorrhea was defined as cycles >35 days in length.

Results:

PCP was more strongly associated with menstrual irregularity that GCP. 94% of subjects with bilateral PCP-experienced oligomenorrhea compared with 65% of women with a unilateral PCP ovary [odds ratio (OR) 9; p<0.05]. 29% of women with bilateral GCP ovaries experienced menstrual disturbances, less than bilateral PCP (OR 36; p=0.002), but similar to unilateral PCP (OR 3; p=0.07). Serum testosterone and luteinizing hormone (LH) levels were significantly correlated with the ovarian FDP.

Conclusion:

There is a relationship between menstrual irregularity or certain types of serum steroids and ovarian morphology. It remains unknown if morphology, testosterone or LH causes the menstrual disturbance or if they are co-initiated by an intervening factor.

The Prevalence of Fallopian Tube Occlusion in Women with Polycystic Ovary Syndrome Seems Similar to Non-Subfertile Women: A Retrospective Cohort Study

There are limited data on how non-infectious risk factors influence tubal patency in women with subfertility. With hormonal shifts influencing tubal secretions, it has been argued that subfertile women with polycystic ovary syndrome (PCOS) have lower tubal patency. In a retrospective study, 216 women, who underwent diagnostic evaluation for PCOS and infertility, were included. Fallopian tube patency was tested using HSG, HyCoSy, and laparoscopic chromopertubation in 171 (79.2%), 28 (13.0%), and 17 (7.9%), respectively. Bilateral patency was found in 193 women (89.4%), unilateral patency in 13 (6.0%) and bilateral occlusion in 10 (4.6%) patients. Women with PCOS phenotypes C (odds ratio, OR 0.179, 95% CI: 0.039–0.828) and D (OR 0.256, 95% CI: 0.069–0.947) demonstrated lower risks for Fallopian tube occlusion. In conclusion, our data suggest that about 5% of infertile women with PCOS also have bilateral tubal occlusion, which seems similar to the rate in non-subfertile women. With 11% of participants having unilateral or bilateral tubal occlusion, this should reassure women with PCOS that their hormonal challenges do not seem to increase their risk for tubal factor subfertility.

The FIGO Ovulatory Disorders Classification System†

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding and infertility and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical and procedural interventions. Collaborative research, effective education and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to the World Health Organization (WHO), was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This article describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians and trainees using the 'GAIN-FIT-PIE' mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and Vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.

The FIGO ovulatory disorders classification system

Ovulatory disorders are common causes of amenorrhea, abnormal uterine bleeding, and infertility, and are frequent manifestations of polycystic ovary syndrome (PCOS). There are many potential causes and contributors to ovulatory dysfunction that challenge clinicians, trainees, educators, and those who perform basic, translational, clinical, and epidemiological research. Similarly, therapeutic approaches to ovulatory dysfunction potentially involve a spectrum of lifestyle, psychological, medical, and procedural interventions. Collaborative research, effective education, and consistent clinical care remain challenged by the absence of a consensus comprehensive system for classification of these disorders. The existing and complex system, attributed to WHO, was developed more than three decades ago and did not consider more than 30 years of research into these disorders in addition to technical advances in imaging and endocrinology. This manuscript describes the development of a new classification of ovulatory disorders performed under the aegis of the International Federation of Gynecology and Obstetrics (FIGO) and conducted using a rigorously applied Delphi process. The stakeholder organizations and individuals who participated in this process comprised specialty journals, experts at large, national, specialty obstetrical and gynecological societies, and informed lay representatives. After two face-to-face meetings and five Delphi rounds, the result is a three-level multi-tiered system. The system is applied after a preliminary assessment identifies the presence of an ovulatory disorder. The primary level of the system is based on an anatomic model (Hypothalamus, Pituitary, Ovary) that is completed with a separate category for PCOS. This core component of the system is easily remembered using the acronym HyPO-P. Each anatomic category is stratified in the second layer of the system to provide granularity for investigators, clinicians, and trainees using the "GAIN-FIT-PIE" mnemonic (Genetic, Autoimmune, Iatrogenic, Neoplasm; Functional, Infectious and Inflammatory, Trauma and Vascular; Physiological, Idiopathic, Endocrine). The tertiary level allows for specific diagnostic entities. It is anticipated that, if widely adopted, this system will facilitate education, clinical care, and the design and interpretation of research in a fashion that better informs progress in this field. Integral to the deployment of this system is a periodic process of reevaluation and appropriate revision, reflecting an improved understanding of this collection of disorders.