OBJECTIVE: To evaluate the relationship between polycystic ovary syndrome (PCOS), night eating syndrome (NES), and sleep problems in the adolescent population.
METHODS: PCOS patients (n = 43) and healthy controls (n = 62) aged between 15 and 19 years were recruited from the clinics of Adolescent Medicine and Adolescent Gynecology. The Night Eating Questionnaire (NEQ), Pittsburg Sleep Quality Index (PSQI), and Pediatric Sleep Questionnaire-short form (PSQ-SF) were completed by the participants.
RESULTS: The PSQI (p = 0.175), PSQ-SF (p = 0.320), and NEQ (p = 0.493) scores were not statistically different between the PCOS and control groups. The NEQ scores were positively correlated with illness duration (r = 0.348, p = 0.024) in the PCOS group. There was no significant correlation between the NEQ scores and BMI Z-score, total testosterone and dehydroepiandrosterone sulfate (DHEAS) levels, or modified Ferriman-Gallwey Score (mFGS). The NEQ scores were positively correlated with both the PSQI (r = 0.532, p < 0.001) and PSQ-SF scores (r = 0.204, p = 0.037) in the PCOS group. The ratio of adolescents at risk for NES (having an NEQ Score ≥25) did not differ significantly between the PCOS and control groups (p = 0.601).
CONCLUSIONS: Adolescents with PCOS have NES scores similar to those of healthy controls. This result may change as the duration of exposure to the disease increases. When screening adolescents with PCOS for eating, psychiatric, and sleep problems, they should also be screened for NES due to the high comorbidity rates and symptom overlap of these health conditions.

The study\'s primary objectives encompass the following: (i) To implement the object detection of ovarian follicles using you only look once (YOLO)v8 and subsequently segment the identified follicles using a hybrid fuzzy c-means-based active contour technique. (ii) To extract statistical features and evaluate the effectiveness of both machine learning (ML) and deep learning (DL) classifiers in detecting polycystic ovary syndrome (PCOS). The research involved a two different dataset in which dataset1 comprising both normal (N = 50) and PCOS (N = 50) subjects, dataset 2 consists of 100 normal and 100 PCOS affected subjects for classification. The YOLOv8 method was employed for follicle detection, whereas statistical features were derived using Gray-level co-occurrence matrices (GLCM). For PCOS classification, various ML models such as Random Forest (RF), k- star, and stochastic gradient descent (SGD) were employed. Additionally, pre-trained models such as MobileNet, ResNet152V2, and DenseNet121 and Vision transformer were applied for the categorization of PCOS and healthy controls. Furthermore, a custom model named Follicles Net (F-Net) was developed to enhance the performance and accuracy in PCOS classification. Remarkably, the F-Net model outperformed among all ML and DL classifiers, achieving an impressive classification accuracy of 95% for dataset1 and 97.5% for dataset2 respectively in detecting PCOS. Consequently, the custom F-Net model holds significant potential as an effective automated diagnostic tool for distinguishing between normal and PCOS.

OBJECTIVE: To explore the correlation between Fat mass and objectivity associated gene (FTO) rs9939609 polymorphism and susceptibility to polycystic ovary syndrome.
METHODS: Case-control studies on the relationship between FTO rs9939609 A/T polymorphism and PCOS were searched in PubMed, EMBASE, and Web of Science according to inclusion and exclusion criteria. STATA 12.0 software was conducted for Meta-analysis.
RESULTS: Nine case-control studies were included, including 1410 cases in PCOS group and 1223 cases in healthy control group. The results of meta-analysis showed that FTO rs9939609 gene polymorphism was associated with PCOS susceptibility, and the risk of developing PCOS was 1.19 times higher for T alleles carriers than for A alleles carriers, and some similar associations were observed in Asian populations.
CONCLUSIONS: In summary, FTO rs9939609 gene polymorphism is significantly associated with PCOS susceptibility, especially in Asian populations.

OBJECTIVE: To assess the impact of intermittent fasting, with or without probiotic supplementation, versus a calorie-restricted diet on anthropometric measures, metabolic status and gonadal variables in women with polycystic ovary syndrome (PCOS).
METHODS: This is a randomized, placebo-controlled, parallel-arm clinical trial. The effects of the 14:10 early time-restricted eating (eTRE) strategy alone or combined with probiotics, on obese women with PCOS, were investigated. Participants were divided into three groups: eTRE plus probiotics (n = 30), eTRE plus placebo (n = 30) and a control group following a standard three-meal-per-day diet with daily calorie restriction (DCR) (n = 30). Over 8 weeks, various anthropometric, metabolic, menstrual and gonadal variables were assessed.
RESULTS: A total of 90 individuals were included in the study, with a mean body weight of 81.4 kg, and a mean age of 30 years. Mean (standard deviation) weight loss was not different between the groups at week 8 (TRE + probiotic: -2.2 [1.6] kg vs. TRE + placebo: -2.9 [2.7] kg vs. DCR: -2.5 [1.7] kg). Results revealed that, while all three regimes led to reductions in body weight, body mass index, vascular risk indicators, hirsutism and acne scores, there were no statistically significant differences between the eTRE groups and the control group in terms of weight loss, or improvements in metabolic, menstrual and gonadal variables (P > .05). Additionally, combining probiotics with eTRE did not benefit hormonal and cardiometabolic factors (P > .05).
CONCLUSIONS: The eTRE alone or eTRE plus probiotics did not result in significantly greater weight loss or improvements in metabolic, menstrual and gonadal variables compared with the standard three-meal DCR diet.

BACKGROUND: Accumulating studies have highlighted the significant role of circulating metabolomics in the etiology of reproductive system disorders. However, the causal effects between genetically determined metabolites (GDMs) and reproductive diseases, including primary ovarian insufficiency (POI), polycystic ovary syndrome (PCOS), and abnormal spermatozoa (AS), still await thorough clarification.
METHODS: With the currently most comprehensive genome-wide association studies (GWAS) data of metabolomics, systematic two-sample Mendelian randomization (MR) analyses were conducted to disclose causal associations between 1,091 blood metabolites and 309 metabolite ratios with reproductive disorders. The inverse-variance weighted (IVW) method served as the primary analysis approach, and multiple effective MR methods were employed as complementary analyses including MR-Egger, weighted median, constrained maximum likelihood (cML-MA), contamination mixture method, robust adjusted profile score (MR-RAPS), and debiased inverse-variance weighted method. Heterogeneity and pleiotropy were assessed via MR-Egger intercept and Cochran\'s Q statistical analysis. Outliers were detected by Radial MR and MR-PRESSO methods. External replication and metabolic pathway analysis were also conducted.
RESULTS: Potential causal associations of 63 GDMs with POI were unearthed, and five metabolites with strong causal links to POI were emphasized. Two metabolic pathways related to the pathogenesis of POI were pinpointed. Suggestive causal effects of 70 GDMs on PCOS were detected, among which 7 metabolites stood out for strong causality with elevated PCOS risk. Four metabolic pathways associated with PCOS mechanisms were recognized. For AS, 64 GDMs as potential predictive biomarkers were identified, particularly highlighting two metabolites for their strong causal connections with AS. Three pathways underneath the AS mechanism were identified. Multiple assessments were conducted to further confirm the reliability and robustness of our causal inferences.
CONCLUSIONS: By extensively assessing the causal implications of circulating GDMs on reproductive system disorders, our study underscores the intricate and pivotal role of metabolomics in reproductive ill-health, laying a theoretical foundation for clinical strategies from metabolic insights.

BACKGROUND: Changes in the oxidative stress and lipid metabolism (OSLM) pathways play important roles in polycystic ovarian syndrome (PCOS) pathogenesis and development. Consequently, a systematic analysis of genes related to OSLM was conducted to identify molecular clusters and explore new biomarkers that are helpful for the diagnostic of PCOS.
METHODS: Gene expression and clinical data from 22 PCOS women and 14 normal women were obtained from the GEO database (GSE34526, GSE95728, and GSE106724). Consensus clustering identified OSLM-related molecular clusters, and WGCNA revealed co-expression patterns. The immune microenvironment was quantitatively assessed utilizing the CIBERSORT algorithm. Multiple machine learning models and connectivity map analyses were subsequently applied to explore potential biomarkers for PCOS, and nomograms were employed to develop a predictive multigene model of PCOS. Finally, the OSLM status of PCOS and the hub genes expression profiles were preliminarily verified using TUNEL, qRT‒PCR, western blot, and IHC assays in a PCOS mouse model.
RESULTS: 19 differential expression genes (DEGs) related to OSLM were identified. Based on 19 DEGs that were strongly influenced by OSLM, PCOS patients were stratified into two distinct clusters, designated Cluster 1 and Cluster 2. Distinct differences in the immune cell proportions existed in normal and two PCOS clusters. The random forest showed the best results, with the least cross-entropy and the utmost AUC (cross-entropy: 0.111 AUC: 0.960). Among the 19 OSLM-related genes, CXCR1, ACP5, CEACAM3, S1PR4, and TCF7 were identified by a Bayesian network and had a good fit with PCOS disease risk by the nomogram (AUC: 0.990 CI: 0.968-1.000). TUNEL assays revealed more severe DNA damage within the ovarian granule cells of PCOS mice than in those of normal mice (P < 0.001). The RNA and protein expression levels of the five hub genes were significantly elevated in PCOS mice, which was consistent with the results of the bioinformatics analyses.
CONCLUSIONS: A novel predictive model was constructed for PCOS patients and five hub genes were identified as potential biomarkers to offer novel insights into clinical diagnostic strategies for PCOS.

DNA damage is a key factor affecting gametogenesis and embryo development. The integrity and stability of DNA are fundamental to a woman\'s successful conception, embryonic development, pregnancy and the production of healthy offspring. Aging, reactive oxygen species, radiation therapy, and chemotherapy often induce oocyte DNA damage, diminished ovarian reserve, and infertility in women. With the increase of infertility population, there is an increasing need to study the relationship between infertility related diseases and DNA damage and repair. Researchers have tried various methods to reduce DNA damage in oocytes and enhance their DNA repair capabilities in an attempt to protect oocytes. In this review, we summarize recent advances in the DNA damage response mechanisms in infertility diseases such as PCOS, endometriosis, diminished ovarian reserve and hydrosalpinx, which has important implications for fertility preservation.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is prevalent in young females and is known to affect fertility. Minimal research has examined fertility perspectives in adolescents with PCOS, despite adult research revealing relationships between infertility and psychosocial well-being and quality of life. We examined fertility perspectives/concerns in adolescents with PCOS and an age- and body mass index (BMI)-matched control group and explored associations with quality of life.
METHODS: This was a cross-sectional study of female adolescents (13-21 years of age) with PCOS (n = 50) and age- and BMI-matched controls (n = 50), recruited at a large Midwestern pediatric center. Surveys assessed sociodemographics, hirsutism, fertility perspectives and quality of life. Descriptive statistics and Welch\'s 2-sample t-tests were used to examine fertility perspectives and quality of life.
RESULTS: Of the 103 approached, 100 participants were enrolled (97% recruitment rate), with 50 participants in each group. Parenthood goals did not significantly differ between groups; >70% expressed desire to have biological children. However, PCOS participants reported significantly higher concerns about future fertility (p < .01) without differences in fertility knowledge or support (p = .53). Most PCOS participants stated they would feel angry if their provider withheld this information and reported wanting more information. Quality of life did not differ between groups.
CONCLUSIONS: Our study suggests that irrespective of PCOS status, most adolescents aspire to parenthood. Notably, many with PCOS lack awareness of infertility risks but express heightened concerns. In contrast to adult studies, fertility concerns among adolescents with PCOS were not associated with decreased quality of life, suggesting that earlier fertility counseling may improve outcomes.

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting approximately 5 to 18% of women of reproductive age and 3 to 11% of teenagers. The diagnostic criteria used in adult patients are not suitable for the diagnosis of adolescent patients, because some of the features may be physiological for puberty, so research is still ongoing to improve the criteria for diagnosing PCOS in teenagers. Polycystic ovary syndrome is associated with hormonal and metabolic changes and may predispose to the occurrence of many other diseases, such as obesity, metabolic syndrome, hypertension, type 2 diabetes and non-alcoholic fatty liver disease (NAFLD). Due to the high prevalence of PCOS and the various health problems it brings, it is necessary to select adolescent girls from the risk group, make an efficient diagnosis, start appropriate treatment, and lead the patient through a lifestyle change as soon as possible. Researchers\' attention is increasingly focused on patients presenting with PCOS already in their teenage years. In our work, we want to look at the latest reports regarding the prevalence, pathophysiology and diagnosis of PCOS in adolescent girls.

Polycystic Ovary Syndrome (PCOS), which is common among women of reproductive age, is characterized by low-grade chronic inflammation and is associated with several health problems and dysbiosis. Kefir has been shown to have many beneficial health effects; however, its effect on PCOS is unknown. This study aimed to examine the effect of kefir on the intestinal microbiota and health outcomes in PCOS. In this intervention study, 17 women with PCOS consumed 250 mL/day of kefir (containing Lactobacillus kefiranofaciens subsp. kefiranofaciens, Lactobacillus kefiranofaciens subsp. kefirgranum, Lactobacillus kefiri, Lactobacillus acidophilus, Lactobacillus parakefiri, Lactobacillus bulgaricus, Lactobacillus reuteri, Lactobacillus casei, Lactobacillus fermentum, Lactobacillus helveticus, Lactococcus lactis, Leuconostoc mesentereoides, Bifidobacterium bifidum, Streptococcus thermophilus, Kluyveromyces marxianus, Kluyveromyces lactis, Acetobacter pasteurianus, and Saccharomyces cerevisiae) for 8 weeks. Food consumption and physical activity records, anthropometrical measurements, quality of life, and fecal and blood samples were taken at the study\'s beginning and end. Quality of life in mental health (58.8 ± 15.08; 64.0 ± 15.23, respectively) and physical function (95.00 and 100.00, respectively) categories showed a significant increase after kefir intervention (p < .05). Additionally, Interleukin-6 (IL-6), one of the inflammatory cytokines, significantly decreased (174.00 and 109.10 ng/L, respectively) (p < .05). The intestinal barrier permeability was evaluated with zonulin, and no significant change was observed. Gut microbiota analysis showed that while the relative abundance of the class Bacilli and genus Lactococcus significantly increased, the genus Holdemania decreased with kefir consumption (p < .05). In conclusion, kefir appears to be beneficial for improving the microbiota and some health outcomes, like reducing inflammation and improving quality of life in PCOS. Therefore, kefir may be useful in the treatment of PCOS.