The Relevant Hormonal Levels and Diagnostic Features of Polycystic Ovary Syndrome in Adolescents

Unmasking the morphological alteration of erythrocytes among women suffering from PCOS

Dyslipidemia is frequently observed in polycystic ovarian syndrome (PCOS). Changes in plasma lipid levels potentially alter erythrocyte membrane lipid composition due to lack of inbuilt lipid synthesis machinery. Therefore, development of morphologically altered erythrocytes in PCOS patients with dyslipidemia is expected. However, this has not been established so far. So, we took this opportunity to explore the morphological alterations among dyslipidemic PCO women. We recruited thirty-five dyslipidemic PCOS women (satisfying Rotterdam criteria, without medication) and twenty-five age-matched healthy controls. Scanning electron microscopy revealed a significant increase in the number of stomatocytes, acanthocytes, and echinocytes in the PCO group. PCO group showed a considerable decrease in plasma antioxidant levels. Elevated lipid peroxidation, protein carbonylation, and decreased free thiol group in erythrocyte membrane in PCOS suggest oxidative degradation of the erythrocyte membrane. Elevated intracellular ROS levels, increased methemoglobin formation, and a decrease in NADPH methemoglobin reductase in PCOS also indicate altered physicochemical property of hemoglobin due to oxidative overload. Additionally, these patients exhibit a rise in erythrocyte membrane cholesterol and triglyceride, which promotes the membrane to become less fluidic and less fragile. Thus, these results corroborate a potential role in altering erythrocyte morphology among dyslipidemic PCO women.

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.

A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome

Women with polycystic ovary syndrome (PCOS) are reported to have different levels of prolactin (PRL) compared to women without PCOS. This study aimed to evaluate the PRL levels in women with PCOS, compared to the control group, before and after adjustment for potential confounders. Using a logical combination of keywords, a comprehensive search was carried out in PubMed and Web of Science, from inception to 30 August 2022. Weighted mean differences (WMDs) with corresponding 95% CIs in PRL levels were employed with a random-effects model. I2 was applied to evaluate heterogeneity among studies. A meta-regression analysis and subgroup analysis were conducted to explore heterogeneity sources. Publication bias was assessed by the Egger test. Thirty-two studies, measuring PRL levels in 8551 PCOS patients according to the Rotterdam criteria and 13,737 controls, were included in the meta-analysis. Pooled effect size suggested that the overall weighted mean difference (WMD) of PRL level was significantly higher in women with PCOS, compared to controls (WMD = 1.01, 95% CI: 0.04-1.98, p = 0.040). The result of meta-regression adjusted for age, BMI, and the continent of origin, revealed no confounding effect on results. Sub-group analysis of PRL levels according to the continent of origin showed significantly higher PRL levels among Eurasian PCOS patients compared to the control; this difference was not statistically significant in the subgroups of women from Asia, Europe, and South America. In conclusion, PRL levels in patients who were diagnosed according to the Rotterdam criteria were significantly higher than non-PCOS participants. Slightly higher levels of PRL could be presented as a diagnostic feature of PCOS.

Assessment of Serum Elements Concentration and Polycystic Ovary Syndrome (PCOS): Systematic Review and Meta-analysis

Change in the levels of trace elements has been linked with PCOS pathogenesis by various studies, whereas some had reported no such association. Therefore, in order to evaluate association of eleven trace element (Cu, Zn, Cr, Cd, Se, Mn, Fe, Mg, Co, Ni and Pb) serum concentration with PCOS pathogenesis, current systematic review and meta-analysis has been carried out. Literature search was conducted using PubMed, Central Cochrane Library, Google Scholar and Science Direct databases with appropriate keywords. Studies published upto 3rd of September were evaluated for eligibility with suitable inclusion and exclusion criteria. Only case-control studies examining the association of serum trace element concentrations between PCOS cases and controls were selected. Present meta-analysis identified 32 articles with 2317 PCOS and 1898 controls. The serum Cu (MD = 15.40; 95% CI = 4.32 to 26.48; p = 0.006), Co (MD = 0.01; 95% CI = 0.01 to 0.02; p = 0.000), Cr (MD = 0.04; 95% CI = 0.00 to 0.07; p = 0.03) and Fe (MD = 12.98; 95% CI = 5.87-20.09; p = 0.0003) concentration is significantly higher, while lower concentration has been observed for Se (MD =  - 0.99; 95% CI =  - 1.31 to - 0.67; p = 0.000) and Mg (MD =  - 223.41; 95% CI =  - 391.60 to - 55.23; p = 0.009) among women with PCOS in comparison with the healthy group. Concentration of other elements which were analysed is not significantly related to PCOS. In short, PCOS women has higher serum concentrations of Cu, Co, Cr and Fe and lower concentrations of Se and Mg. Studies with sub-population of obese, non-obese and with and without insulin resistance are important to understand the pathomechanism of these elements in the syndrome.

Anti-Müllerian hormone levels in the diagnosis of adolescent polycystic ovarian syndrome: a systematic review and meta-analysis

Polycystic ovary syndrome (PCOS) is an endocrine disorder that causes menstrual cycle irregularities and infertility. PCOS is diagnosed based on hyperandrogenism, polycystic ovarian morphology (PCOM), and an-/oligo-ovulation. Upregulation of anti-Müllerian hormone (AMH) in the serum of women with PCOS may be another suitable alternative diagnostic criterion for PCOM. However, previous meta-analyses have reported conflicting results due to the age-dependent decline in serum AMH levels. Therefore, we performed a meta-analysis to evaluate the threshold of AMH for the diagnosis of PCOS in adolescents and women in their early twenties. Fifteen trials were included in this meta-analysis. PCOS is diagnosed with either Rotterdam criteria, NIH, or AE-PCOS. AMH levels were significantly higher in adolescents with PCOS (weighted mean difference, 3.05; 95% confidence interval: 2.09-4.01) than in the control group. The cutoff values of AMH for the diagnosis of adolescent PCOS were 6.1, 6.26, 7.03, 7.11, 7.2, and 7.25 ng/mL in the studies that reported the usefulness of AMH levels. The summary receiver operating characteristic analysis of the diagnostic accuracy demonstrated that the specificity and sensitivity were 81% and 66.3%, respectively. Our meta-analysis demonstrates that AMH may be a useful diagnostic test for adolescent PCOS and, based on the previous studies included in the meta-analysis, its cutoff value was estimated to be 6-7 ng/mL.

Criteria for Diagnosis of Polycystic Ovary Syndrome during Adolescence: Literature Review

Polycystic ovary syndrome (PCOS) is one of the most common endocrine conditions in women. PCOS may be more challenging to diagnose during adolescence due to an overlap with the physiological events of puberty, which are part of the diagnostic criteria in adult women. This review focuses on the evidence available in relation to PCOS diagnostic criteria for adolescents. Adolescent PCOS should be diagnosed using two main criteria irregular -menstrual cycles (relative to number of years post-menarche) and hyperandrogenism (clinical and/or biochemical); after excluding other conditions that mimic PCOS. Accurate definitions of the two main criteria will decrease challenges/controversies with the diagnosis and provide timely diagnosis during adolescence to establish early management. Despite the attempts to create accurate diagnostic criteria and definitions, this review highlights the limited research in this area, especially in the follow up of adolescents presenting with one diagnostic feature that are called “at risk of PCOS”. Studies in adolescents continue to use the Rotterdam diagnostic criteria that uses pelvic ultrasound. This is inappropriate, because previous and emerging data that show many healthy adolescents have polycystic ovarian morphology in the early years post-menarche. In the future, anti-Müllerian hormone levels might help support PCOS diagnosis if adolescents meet two main criteria.

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

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

The immune system's role in PCOS

Polycystic ovary syndrome (PCOS) is a common disorder of the endocrine system. Its main manifestations include oligo-ovulation, hyperandrogenism, and polycystic ovary morphology (PCOM), affecting women of childbearing age. Although the exact pathogenesis of this disease is still unknown, many factors, including genetic, endocrine, and metabolism disorders, play critical roles in its development. The immunopathogenesis of PCOS has not yet been studied in-depth, but it is hypothesized that immune system abnormalities may play a key role in it. Recent research has shown inflammation's effect on ovulation and ovarian follicular dynamics. Thus, it is suggested that there is a close association between PCOS and low-grade chronic systemic inflammation. As a result, chronic low-grade inflammation is identified as a significant factor in the pathogenesis and development of PCOS, which in turn leads to infertility. As a result, this article reviews PCOS immunopathology, evaluates long-standing hypotheses about the immune system's role in PCOS, and assesses the association between inflammatory factors and PCOS.

Polycystic Ovary Syndrome in Adolescence: Challenges in Diagnosis and Management

Diagnosing polycystic ovary syndrome (PCOS) during adolescence is challenging since normal pubertal development overlap typical features of this syndrome. The authors aim to summarize the existing evidence concerning PCOS in adolescence, particularly its diagnostic criteria and therapeutic options. A search throughout medical databases such as PubMed and MedScape was performed. Diagnostic criteria include irregular menstrual cycles according to time postmenarche and evidence of clinical hyperandrogenism and/or biochemical hyperandrogenism, provided other causes have been excluded. Polycystic ovarian morphology ought not to be used as a diagnostic criterion. Treatment should target manifestations and/or comorbidities, even in the absence of a definite diagnosis. Lifestyle interventions are the first-line treatment. Combined oral contraceptives, metformin or antiandrogens may also be considered as adjuvants. Screening for PCOS in adolescence is crucial as it allows an early intervention on the symptoms and comorbidities presented leading to better long-term reproductive and metabolic outcomes.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Cortisol and polycystic ovarian syndrome - a systematic search and meta-analysis of case-control studies

BACKGROUND

Polycystic ovarian syndrome (PCOS) has become an emerging disorder affecting women of reproductive age group. Its intricate presentation of signs and symptoms makes it a disease of interest to research. While there are varied hypotheses related to its cause and pathogenesis, role of stress in this disease is yet to be grounded. There is emerging body of evidence on cortisol and PCOS, although it is currently equivocal.

METHODS

Medline, Embase, Pubmed, Science Direct, Google Scholar, and Scopus were searched from March 1985 to March 2020 using MeSH terms. After dual quality assessments and data abstraction, the final articles were included for meta-analysis.

RESULTS

Forty-one studies qualified for the analysis. Pooled meta-analysis showed that the level of cortisol was significantly higher in PCOS when compared to healthy controls (standard mean difference [SMD] = 0.83, 95% confidence interval [CI] = 0.42-1.23) with highly significant heterogeneity (I² = 94%). Subgroup analysis done based on type of sample stated high effect size for blood cortisol levels (SMD = 0.9, 95%CI = 0.32; 1.51) compared to overall effect.

CONCLUSIONS

This systematic review and meta-analysis on cortisol and PCOS have helped in generating evidence regarding the role of cortisol in the pathogenesis of PCOS and the use of cortisol estimation as a potential stress marker in PCOS.

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

AIM

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

The value of serum-free androgen index in the diagnosis of polycystic ovary syndrome: A systematic review and meta-analysis

OBJECTIVE

It is found that there is a significant difference in serum-free androgen index (FAI) between patients with polycystic ovary syndrome (PCOS) and healthy people, and the selection of appropriate cutoff value has a certain diagnostic value for PCOS. However, the current research conclusions on the diagnostic value of FAI for PCOS are not consistent. The purpose of this study is to explore the diagnostic value of FAI in PCOS, in order to provide reference for clinicians to select appropriate diagnostic indicators in the future.

METHODS

Cochrane Library, Medline, Excerpta Medica Database, China National Knowledge Infrastructure, and China Wanfang database were searched until July 2020. A comprehensive collection of FAI studies on the diagnosis of PCOS was conducted. The pooled sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (+LR), and negative likelihood ratio (-LR) were analyzed by Stata15.0 software, and the receiver operating characteristic (ROC) curves of the subjects were drawn.

RESULTS

A total of seven high-quality clinical studies were included. The results of meta-analysis showed that the pooled sensitivity = 0.76 (95% confidence interval [CI]: 0.69 ~ 0.82), specificity = 0.82 (95%CI: 0.69 ~ 0.90), +LR = 4.12 (95%CI: 2.12 ~ 4.03), -LR = 0.29 (95%CI: 0.22 ~ 0.38), DOR = 14.08 (95%CI: 7.13 ~ 27.83), and the area under ROC was 0.84.

CONCLUSION

FAI has a moderate diagnostic value for PCOS. It may be possible to add new experimental designs to find the best cut-off value for FAI diagnosis to improve the diagnostic efficacy.

The Relationship of Anti-Mullerian Hormone in Polycystic Ovary Syndrome Patients with Different Subgroups

PURPOSE

To explore the value of anti-Mullerian hormone (AMH) in patients with polycystic ovary syndrome (PCOS) with different phenotypes and ages, and to identify the relationship between hyperandrogenism (HA) and polycystic ovary morphology (PCOM), in a Chinese cohort.

METHODS

A total of 2262 women (1631 with PCOS and 631 controls) were enrolled. The serum AMH and total testosterone (TT) were analyzed, the AMH levels of each subgroup were compared, and the value of each phenotype and age group of patients with PCOS was evaluated.

RESULTS

The level of AMH in women with PCOS (mean±SD, 8.63±4.73 ng/mL) was higher than that in controls (5.57±3.31 ng/mL) (P<0.01). The level of AMH in the PCOM subgroup (11.19±6.4 ng/mL) was significantly higher than that in the HA subgroup (8.58±4.74 ng/mL) (P<0.01), and both were higher than that in controls (P<0.01). AMH was higher in PCOS patients than in controls, but the same values were found in subgroups of PCOS patients under 30 years old.

CONCLUSION

AMH changed in different subgroups of PCOS, which was the possible reason why AMH was not a diagnostic indicator. However, AMH could help to differentiate between clinical subgroups, as it was strongly related with PCOM but not with HA. AMH changed substantially with age, but was stable in PCOS patients under 30 years old.