Menstrual cycle alterations during adolescence: early expression of metabolic syndrome and polycystic ovary syndrome

Progress of the application clinical prediction model in polycystic ovary syndrome

Clinical prediction models play an important role in the field of medicine. These can help predict the probability of an individual suffering from disease, complications, and treatment outcomes by applying specific methodologies. Polycystic ovary syndrome (PCOS) is a common disease with a high incidence rate, huge heterogeneity, short- and long-term complications, and complex treatments. In this systematic review study, we reviewed the progress of clinical prediction models in PCOS patients, including diagnosis and prediction models for PCOS complications and treatment outcomes. We aimed to provide ideas for medical researchers and clues for the management of PCOS. In the future, models with poor accuracy can be greatly improved by adding well-known parameters and validations, which will further expand our understanding of PCOS in terms of precision medicine. By developing a series of predictive models, we can make the definition of PCOS more accurate, which can improve the diagnosis of PCOS and reduce the likelihood of false positives and false negatives. It will also help discover complications earlier and treatment outcomes being known earlier, which can result in better outcomes for women with PCOS.

The Impact of Irregular Menstruation on Health: A Review of the Literature

Women are considered to have an irregular menstrual cycle if their cycle length is less than 21 days or more than 35 days, accompanied by less or very severe blood flow. The prevalence of menstrual cycle irregularities varies across countries. Irregular periods can occur due to changes in the body's levels of estrogen and progesterone hormones, which disrupt the normal pattern of the period. Menstrual irregularity has been found to be associated with various diseases and medical conditions, such as metabolic syndrome, coronary heart disease, type 2 diabetes mellitus, and rheumatoid arthritis. Anemia, osteoporosis, psychological problems, impaired quality of life, and infertility have also been recorded. Moreover, a significant correlation between irregular periods and the risk of developing pregnancy-related hypertensive disorders, as well as an increased risk of adverse obstetric and neonatal outcomes, has been proven. Therefore, irregular menstruation is considered an important health indicator among women. Physical, mental, social, psychological, and reproductive problems are often associated with menstrual irregularities. Thus, evaluating the factors associated with irregular menstruation is necessary to determine appropriate preventive and treatment strategies and to decrease the associated health problems. The aim of this review was to define normal and irregular menstruation, their types, and prevalence, to recognize the risk factors and causes of irregular menstruation, and to understand their impact on women's health.

Is anti-Mullerian hormone a useful biomarker in the diagnosis of polycystic ovary syndrome in Chinese adolescents?

OBJECTIVE

(1) To investigate anti-Mullerian-hormone (AMH) in adolescents with polycystic ovary syndrome (PCOS) compared to age-matched girls without PCOS; (2) to determine whether AMH is a valuable marker for diagnosing PCOS and to explore the best cutoff value in adolescents; (3) using a multivariate predictive model for the diagnosis of PCOS.

METHODS

Ninety girls (aged 10-20 years) recruited during two years for the PCOS-group (n = 45) or control-group (n = 45). PCOS diagnostic criteria according guidelines of the Endocrinology Expert Group, Obstetrics/Gynecology Branch of the Chinese Medical Association. Serum AMH and other sex hormones were measured. Logistic regression analysis to estimate the odds ratio of AMH and other variables for the diagnosis of PCOS. Receiver operator characteristics (ROC) curve analysis was performed to reveal the diagnostic potential.

RESULTS

(A) AMH was significantly higher in PCOS patients than in controls (10.21 ± 5.85 ng/ml vs. 4.31 ± 2.84 ng/ml, p < .001). In PCOS-group, total testosterone (TT), free testosterone (FT) and biologically active testosterone (BioT) were significantly higher than in controls (p < .001). (B) Logistic regression suggests that AMH and TT are correlated with the diagnosis of PCOS (p < .05). (C) ROC curve analyses demonstrated that the optimal value of AMH for predicting PCOS was 6.32 ng/mL, with 69.8% sensitivity and 80.5% specificity. Furthermore, AMH combined with TT can provide 83.7% sensitivity and 80.5% specificity for diagnosing PCOS in adolescents.

CONCLUSIONS

AMH may be a useful biomarker for the diagnosis of PCOS in Chinese adolescent girls. A cutoff value of 6.32 ng/mL best discriminated between PCOS patients and controls. Besides AMH a multivariate predictive model should include TT.

Pre-pregnancy menstrual cycle regularity and length and the risk of gestational diabetes mellitus: prospective cohort study

AIMS/HYPOTHESIS

Menstrual cycle dysfunction has been associated with many endocrine-related diseases, but evidence linking menstrual cycle dysfunction with gestational diabetes mellitus (GDM) is scant. The current study investigated the association of pre-pregnancy menstrual cycle regularity and length during adolescence, early adulthood and mid-adulthood with the subsequent risk of GDM.

METHODS

Between 1993 and 2009, we followed 10,906 premenopausal women participating in the Nurses' Health Study II who reported menstrual cycle characteristics during adolescence (age 14-17 years), early adulthood (age 18-22 years) and mid-adulthood (age 29-46 years). Incident GDM was ascertained from a self-reported questionnaire regarding physician diagnosis. Log-binomial models with generalised estimating equations were used to estimate the RRs and 95% CI for the associations between menstrual cycle characteristics and GDM.

RESULTS

We documented 578 incident cases of GDM among 14,418 pregnancies over a 16 year follow-up. After adjusting for potential confounders, women reporting always having irregular menstrual cycles during mid-adulthood had a 65% (95% CI 21, 125%) higher risk of GDM than women reporting very regular cycles. GDM risk was also greater among women reporting that their cycles were usually ≥32 days during mid-adulthood, compared with women reporting cycles between 26 and 31 days (RR 1.42 [95% CI 1.15, 1.75]). The risk of GDM was greater for women whose cycles changed from regular early in their reproductive years to irregular or from <32 days to ≥32 days during mid-adulthood, compared with women whose cycles remained <32 days or regular, respectively.

CONCLUSIONS/INTERPRETATION

Women whose cycles were long or irregular during mid-adulthood, but not in adolescence or young adulthood, were at higher risk of GDM.

Polycystic Ovary Syndrome and the Forgotten Uterus

Polycystic ovary syndrome (PCOS) is a common disorder that affects various facets of fertility. Although the ovarian and metabolic aspects of the disease is well studied, its role in uterine dysfunction is not well understood. Our objective was to review the features of endometrial and uterine aberrations in women with PCOS. A systematic literature search was performed in PubMed, Medline, and the Cochrane Library databases for papers published in English up to March 2020. The following key words were used for the search: polycystic ovary syndrome, poly cystic ovarian disease, polycystic ovaries, PCOS, PCOD, PCO, PCOM, oligoovulation, anovulation, oligomenorrhea, amenorrhea, hyperandrogenism and this was combined with terms; endometrium, infertility, uterus, progesterone resistance, endometrial hyperplasia, pregnancy outcomes, preterm delivery. In this review, we highlight various uterine pathologies that are associated with PCOS and explore its impact on fertility. We also discuss key uterine molecular pathways that are altered in PCOS that may be related to infertility, endometrial hyperplasia and cancer.

Polycystic Ovary Syndrome Signs and Metabolic Syndrome in Premenopausal Hispanic/Latina Women: the HCHS/SOL Study

CONTEXT

Polycystic ovary syndrome (PCOS), a condition of androgen excess in women, is associated with cardiometabolic risk factors; however, this association is not fully characterized in a population-based sample of premenopausal women and high-risk groups such as Hispanics/Latinas.

OBJECTIVE

We examined the association of PCOS signs and metabolic syndrome (MetS) in premenopausal Hispanic/Latina women.

METHODS

This cross-sectional analysis includes 1427 women age 24 to 44 years from the Hispanic Community Health Study/Study of Latinos. PCOS signs included menstrual cycle greater than 35 days or irregular, self-reported PCOS, and oral contraceptive use to regulate periods or acne, and a composite of 1 or more PCOS signs. We calculated odds ratios (OR) and 95% CI for MetS, accounting for sociodemographic factors and the complex survey design; an additional model included body mass index (BMI).

RESULTS

The mean age was 34 years and 30% reported any PCOS sign. The odds of MetS were higher in women reporting cycles greater than 35 days or irregular (OR 1.63; CI: 1.07-2.49) vs cycles 24 to 35 days, self-reported PCOS (OR 2.49; CI: 1.38-4.50) vs no PCOS, and any PCOS sign (OR 1.58; CI: 1.10-2.26) vs none. We found no association between OC use to regulate periods or acne and MetS (OR 1.1; CI: 0.6-1.8). When adjusting for BMI, only the association of self-reported PCOS and MetS was attenuated (OR 1.78; CI: 0.92-3.44).

CONCLUSIONS

In Hispanic/Latina women, irregular menstrual cycles, self-reported PCOS, and any PCOS sign were associated with MetS and could indicate women at metabolic disease risk.

Early evaluation of the metabolic syndrome in Bucaramanga, Colombia

BACKGROUND

Metabolic syndrome (MS) is one of the conditions that increase the risk of developing cardiovascular diseases (CVD) and type-2 diabetes in the early future if it appears during childhood or adolescence. The purpose of the study to compare the MS prevalence of MS estimated in a representative sample of school-age population in Bucaramanga, Colombia, and the MS prevalence estimated in a subsample from the same population in the adolescent stage.

METHODS

An analytical cross-sectional survey (in the adolescent stage) (n=494) was carried out, nested in a population-based cohort assembled when children were of school age (n=1,282). Selection employed a bi-stage randomized sampling per neighborhoods and houses across the city. Sociodemographic and anthropometric variables, as well as cardiometabolic factors were analyzed in accordance with their distribution, and statistical significance tests were applied according to each case. MS was determined using the Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF) criteria.

RESULTS

Estimated MS prevalence in school age according to the ATP III criteria was 9.5% (95% CI: 8.0-11.3%) and according to the IDF criteria it was 8.0% (95% CI: 6.6-9.7%). At the time of follow up the prevalence of MS was 13.2% and 14.8% according to the ATP III and IDF criteria, respectively.

CONCLUSIONS

MS prevalence of MS increased in 4% from the school age (9.5%) to the adolescence (13.1%).

Dysregulation of In Vitro Decidualization of Human Endometrial Stromal Cells by Insulin via Transcriptional Inhibition of Forkhead Box Protein O1

Insulin resistance and compensatory hyperinsulinemia are characteristic features of obesity and polycystic ovary syndrome, and both are associated with reduced fertility and implantation. There is little knowledge about the effect of insulin on the decidualization process and previous findings are contradictory. We investigated the effect of insulin on the regulation of forkhead box protein O1 (FOXO1), one of the most important transcription factors during decidualization. Endometrial stromal cells were isolated from six healthy, regularly menstruating women and decidualized in vitro. Gene expression levels of six putative FOXO1 target genes (including insulin-like growth factor binding protein-1 (IGFBP1) and prolactin (PRL)) were measured with Real-Time PCR following FOXO1 inhibition or insulin treatment. PI3K inhibition was used to identify the possible mechanism behind regulation. Subcellular localization of FOXO1 was analyzed with immunofluorescence. All the genes (IGFBP1, CTGF, INSR, DCN, LEFTY2), except prolactin, were evaluated as FOXO1 target genes in decidualizing stromal cells. Insulin caused a significant dose-dependent inhibition of the verified FOXO1 target genes. It was also demonstrated that insulin regulated FOXO1 target genes by transcriptional inactivation and nuclear export of FOXO1 via PI3K pathway. However, insulin did not inhibit the morphological transformation of endometrial stromal cells via transcriptional inactivation of FOXO1. This study provides new insights on the action of insulin on the endometrium via regulation of FOXO1. It is suggested that hyperinsulinemia results in dysregulation of a high number of FOXO1 controlled genes that may contribute to endometrial dysfunction and reproductive failure. Our findings may illuminate possible reasons for unexplained infertility.

Anthropometric and body composition analysis of infertile women with polycystic ovary syndrome

Objectives

To evaluate the body composition and anthropometric profile of infertile women who have been diagnosed with polycystic ovary syndrome (PCOS) and to investigate the incidence of PCOS and to examine body fat composition as a risk factor for this disease.

Methods

This hospital-based case controlled study was conducted on a cohort of 132 patients with and without PCOS. Bioelectrical impedance analysis was used to record body composition parameters, such as total body fat, visceral fat, subcutaneous fat, skeletal muscle composition and their distribution in the trunk, legs and arms, as well as blood pressure. Anthropometric profile parameters, including body mass index (BMI), ideal body weight (IBW), waist circumference, hip circumference and waist-to-hip ratio, were also recorded.

Results

The mean age of incidence of PCOS was 29.74 ± 3.32 years (OR 1.417), and most of the cohort exhibited high to very high visceral fat with significant correlation (p < 0.001). Total body fat distribution and whole, trunk, arm and leg subcutaneous fat were significantly higher in patients with PCOS (p < 0.001). The mean BMI, waist and hip circumference of the PCOS group were 28.2 ± 6.08, 97.44 ± 15.11 cm and 109.22 ± 17.39 cm, respectively. The results also indicated significant increases in DP and MAP (OR 1.528) in patients with PCOS compared to the control group (p < 0.001).

Conclusion

This study exhibits higher levels of BMI, body fat distribution, waist and hip circumference, diastolic and mean blood pressure, visceral fat, and a disproportionate increase in the level of global fat and its distribution.

Phenotypic Characterization of Polycystic Ovary Syndrome in Adolescents Based on Menstrual Irregularity

OBJECTIVE

Polycystic ovary syndrome (PCOS) in adolescents is associated with adverse metabolic outcomes. The association of menstrual irregularity with metabolic risk among adolescents with PCOS was assessed.

METHOD

A retrospective medical record review of 366 adolescents with PCOS aged 13-18 years was conducted, from which 265 girls newly diagnosed with PCOS were included and divided into those presenting with primary amenorrhea (PA), secondary amenorrhea (SA) and oligomenorrhea (OM). Androgen concentrations and markers of metabolic risk were compared among the groups.

RESULTS

Most subjects presented with OM (PA = 17, SA = 30 and OM = 218). Subjects with PA were younger than those with OM but not different from those with SA. Mean BMI was not different between groups. Total testosterone and insulin levels were higher in PA than SA and OM (p < 0.01 and 0.02, respectively). Fasting glucose was higher in PA than OM (p = 0.048) but not different from SA. Triglyceride levels were higher in PA than SA and OM (p < 0.001 each). More subjects with PA and SA had metabolic syndrome (52%) than those with OM (29.1%) (p = 0.027). The differences in triglycerides and glucose persisted despite BMI adjustment in multivariate regression models.

CONCLUSION

Adolescents with PCOS presenting with PA are at risk of metabolic disease beyond expected based on BMI.

Anti-Müllerian Hormone and Inhibin-A, but not Inhibin-B or Insulin-Like Peptide-3, may be Used as Surrogates in the Diagnosis of Polycystic Ovary Syndrome in Adolescents: Preliminary Results

OBJECTIVE

Polycystic ovary syndrome (PCOS) is a common endocrine problem in adolescents with an increasing prevalence of 30%. Pursuing new biomarkers with high specificity and sensitivity in the diagnosis of PCOS in adolescents is currently an active area of research. We aimed to investigate the diagnostic value of anti-Müllerian hormone (AMH), insulin-like peptide-3 (INSL3), inhibin-A (INH-A), and inhibin-B (INH-B) in adolescents with PCOS and also to determine the association, if any, between these hormones and clinical/laboratory findings related with hyperandrogenism.

METHODS

The study group comprised 53 adolescent girls aged between 14.5 and 20 years who were admitted to our outpatient clinic with symptoms of hirsutism and/or irregular menses and diagnosed as having PCOS in accordance with the Rotterdam criteria. Twenty-six healthy peers, eumenorrheic for at least two years and body mass index-matched, constituted the controls. Fasting blood samples for hormones [luteinizing hormone (LH), follicle-stimulating hormone (FSH), dehydroepiandrosterone-sulfate (DHEAS), androstenedione (D4-A), total/free testosterone (T/fT), sex hormone binding globulin (SHBG), AMH, INSL3, INH-A, INH-B] were drawn after an overnight fast.

RESULTS

In the PCOS group, 83% of the subjects were oligomenorrheic/amenorrheic and 87% had hirsutism. The LH, LH/FSH ratio, total T, fT, free androgen-index (FAI), DHEAS levels were significantly higher (p=0.005, p=0.042, p=0.047, p<0.001, p=0.007, p=0.014, respectively) and SHBG was significantly lower (p=0.004) in PCOS patients as compared to the controls. Although the INSL-3 and INH-B levels showed no difference between the groups (p>0.05), AMH and INH-A levels were found to be significantly higher in the PCOS group compared to the controls (p<0.001, p<0.001, respectively). In multiple linear regression analysis, WC SDS (p=0.028), logD4-A (p=0.033), logSHBG (p=0.031), and total ovarian volume (p=0.045) had significant effects on AMH levels, and LH (p=0.003) on INH-A levels. In receiver-operating characteristic analysis, the cut-off values for AMH and INH-A were 6.1 ng/mL (sensitivity 81.1%) and 12.8 pg/mL (sensitivity 86.8%), respectively, to diagnose PCOS. When AMH and INH-A were used in combination, the sensitivity (96.2%) increased.

CONCLUSION

INSL3 and INH-B were not found to have diagnostic value in adolescents with PCOS. On the other hand, it was shown that INH-A could be used as a new diagnostic biomarker in addition to AMH.

Association between Metabolic Syndrome and Menstrual Irregularity in Middle-Aged Korean Women

Background

Menstrual irregularity is a common major complaint in women of reproductive age. It is also a known marker for underlying insulin resistance. We investigated the association between menstrual irregularity and metabolic syndrome in the general population of middle-aged women in Korea.

Methods

This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey 2010–2012. A total of 2,742 subjects were included in the analysis. Participants were divided into two categories based on their menstrual cycle regularity and the relationship between metabolic syndrome and its variables was investigated by multiple logistic regression analysis.

Results

Adjusted analyses revealed significantly higher odds ratios for metabolic syndrome, high waist circumference, high triglyceride levels, and low high density lipoprotein cholesterol levels with the presence of menstrual irregularity.

Conclusion

Metabolic syndrome and its components (high waist circumference, high triglyceride levels, and low high density lipoprotein cholesterol levels) were significantly associated with menstrual irregularity in women of reproductive age.

Lipid Profile in Adolescent Girls with Type 1 Diabetes Mellitus and Hyperandrogenemia

Study Objectives. The study aim was to evaluate whether hyperandrogenemia in adolescent girls with type 1 diabetes mellitus (T1DM) may adversely influence lipid profile. Design and Participants. Lipid levels in 16 diabetic girls with biochemical hyperandrogenemia (T1DM-H) aged 16.3 ± 1.2 years were compared to 38 diabetic girls with normal androgen levels (T1DM-N) aged 15.8 ± 1.2 years. 15 healthy girls served as controls (CG). In all patients, anthropometric measurements were done, and androgens and SHBG were assessed. Results. In T1DM-H, total cholesterol (TC) and low density cholesterol (LDL-ch) were significantly higher than in CG (196.1 ± 41.2 versus 162.7 ± 31.7 mg/dL, p = 0.01; 117.3 ± 33.1 versus 91.3 ± 27.8 mg/dL, p = 0.01, resp.). Their LDL-ch, non-high density cholesterol (non-HDL-ch) concentrations, and LDL/HDL ratio were also significantly higher than in T1DM-N (117.3 ± 33.1 versus 97.7 ± 26.7 mg/dL, p = 0.03; 137.3 ± 42.9 versus 113.3 ± 40.4 mg/dL, p = 0.04; 2.8 ± 3.7 versus 1.6 ± 0.5, p = 0.04, resp.). In stepwise multiple linear regression, free androgen index (FAI) and waist-to-hip ratio (WHR) were associated with TC (R (2) = 0.4, p < 0.0006), non-HDL-ch (R (2) = 0.4, p < 0.0003), and LDL-ch (R (2) = 0.4, p < 0.0008). Triglycerides and LDL/HDL ratio were (R (2) = 0.7, p < 0.0001, R (2) = 0.6, p < 0.0003 resp.) related to testosterone, FAI, WHR, and mean HbA1c. Conclusion. Lipid profile in diabetic adolescent girls is adversely influenced by the androgens level, particularly in the group with higher WHR and poorer glycemic control.