scholarly journals Polycystic Ovary Syndrome, Obesity and Melatonin: An Etiological Perspective

2021 ◽  
pp. 1-8
Author(s):  
Büşra Başar Gökcen ◽  
Makbule Gezmen Karadağ
Keyword(s):  
Circadian Rhythm ◽  
Energy Expenditure ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Mitochondrial Functions ◽  
Metabolic Dysfunctions ◽  
The Relationship ◽  
Shed Light ◽  
Circadian Rhythm Disorders

Although the reproductive and metabolic dysfunctions associated with polycystic ovary syndrome are clearly known, the mechanisms between these dysfunctions are still unclear. One of the hypotheses put forward for these mechanisms is related to circadian rhythm. To date, many reproductive and metabolic dysfunctions have been associated with circadian rhythm disorders. Especially in women with polycystic ovary syndrome, the relationship between melatonin rhythm, which lasts until late in the morning and starts early at night, and metabolic dysfunctions has been revealed by recent studies. When the relationship between obesity and melatonin is examined, it is clearly seen that melatonin exhibits its effect on energy expenditure rather than energy intake. This hormone affects energy expenditure through adipogenesis, thermogenesis, mitochondrial functions and adipocytokines release, and shows anti-obesity effect. It is thought that this review will shed light on further studies on the therapeutic use of melatonin in obesity associated with polycystic ovary syndrome and contribute to the development of strategies for the prevention of obesity.

scholarly journals Urinary bisphenol A in women with polycystic ovary syndrome – a possible suppressive effect on steroidogenesis?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zora Lazúrová ◽  
Jana Figurová ◽  
Beáta Hubková ◽  
Jana Mašlanková ◽  
Ivica Lazúrová
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Bisphenol A ◽  
Steroid Hormones ◽  
Polycystic Ovary ◽  
Suppressive Effect ◽  
Human Reproduction ◽  
Control Group ◽  
Ovary Syndrome ◽  
Ovarian Steroidogenesis ◽  
The Relationship

Abstract Objectives There is a growing evidence indicating an impact of endocrine distrupting chemicals such as bisphenol A (BPA) on human reproduction. Its higher levels in serum or urine have been documented in women with polycystic ovary syndrome (PCOS), however the relationship to ovarian steroidogenesis remains unclear. Aim of the study was to compare urinary BPA (U-BPA) concentrations among PCOS women and control group. Second aim was to assess the relationship of U-BPA to ovarian steroidogenesis in the group with PCOS. Methods Eighty six Caucasian women (age 28.5 ± 5.1 years) diagnosed with PCOS and 32 controls of age 24.9 ± 4.4 years were included in the study. Fasting blood samples were analyzed for biochemical parameters and steroid hormones. U-BPA was measured in the morning urine sample using high pressure liquid chromatography. Results PCOS women had significantly higher U-BPA as compared with control group (p=0.0001). Those with high levels of U-BPA (U-BPA ≥2.14 ug/g creatinine) demonstrated higher serum insulin (p=0.029) and HOMA IR (p=0.037), lower serum estrone (p=0.05), estradiol (p=0.0126), FSH (p=0.0056), and FAI (p=0.0088), as compared with low-BPA group (U- BPA <2.14 ug/g creatinine). In PCOS women, U-BPA positively correlated with age (p=0.0026; R2=0.17), negatively with estradiol (p=0.0001, R2=0.5), testosterone (p=0.0078, R2=0.15), free-testosterone (p=0.0094, R2=0.12) and FAI (p=0.0003, R2=0.32), respectively. Conclusions PCOS women have significantly higher U-BPA concentrations than healthy controls. U-BPA positively correlates with age and negatively with ovarian steroid hormones suggesting a possible suppressive effect of bisphenol A on ovarian steroidogenesis.

scholarly journals The relationship of soluble neuropilin-1 to severe COVID-19 risk factors in polycystic ovary syndrome

2021 ◽  
Vol 9 ◽  
pp. 100079
Author(s):  
Abu Saleh Md Moin ◽  
Thozhukat Sathyapalan ◽  
Stephen L. Atkin ◽  
Alexandra E. Butler
Keyword(s):  
Risk Factors ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Neuropilin 1 ◽  
Relationship Of ◽  
The Relationship

scholarly journals Sex Modifies the Effect of Genetic Risk Scores for Polycystic Ovary Syndrome on Metabolic Phenotypes

2021 ◽  
Author(s):  
Ky'Era V. Actkins ◽  
Genevieve Jean-Pierre ◽  
Melinda C. Aldrich ◽  
Digna R. Velez Edwards ◽  
Lea K. Davis
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genetic Risk ◽  
Polycystic Ovary ◽  
Medical Center ◽  
Genetic Risk Score ◽  
Risk Scores ◽  
Ovary Syndrome ◽  
Biological Variables ◽  
Increased Risk ◽  
The Relationship

Females with polycystic ovary syndrome (PCOS), the most common endocrine disorder in women, have an increased risk of developing metabolic disorders such as insulin resistance, obesity, and type 2 diabetes (T2D). Furthermore, while only diagnosable in females, males with a family history of PCOS can also exhibit a poor cardiometabolic profile. Therefore, we aimed to elucidate the role of sex in the relationship between PCOS and its comorbidities by conducting bidirectional genetic risk score analyses in both sexes. We conducted a phenome-wide association study (PheWAS) using PCOS polygenic risk scores (PCOSPRS) to understand the pleiotropic effects of PCOS genetic liability across 1,380 medical conditions in females and males recorded in the Vanderbilt University Medical Center electronic health record (EHR) database. After adjusting for age and genetic ancestry, we found that European descent males with higher PCOSPRS were significantly more likely to develop cardiovascular diseases than females at the same level of genetic risk, while females had a higher odds of developing T2D. Based on observed significant associations, we tested the relationship between PRS for comorbid conditions (e.g., T2D, body mass index, hypertension, etc.) and found that only PRS generated for BMI and T2D were associated with a PCOS diagnosis. We then further decomposed the T2DPRS association with PCOS by adjusting the model for measured BMI and BMIresidual (enriched for the environmental contribution to BMI). Results demonstrated that genetically regulated BMI primarily accounted for the relationship between T2DPRS and PCOS. This was further supported in a mediation analysis, which only revealed clinical BMI measurements, but not BMIresidual, as a strong mediator for both sexes. Overall, our findings show that the genetic architecture of PCOS has distinct metabolic sex differences, but these associations are only apparent when PCOSPRS is explicitly modeled. It is possible that these pathways are less explained by the direct genetic risk of metabolic traits than they are by the risk factors shared between them, which can be influenced by biological variables such as sex.

Dietary diversity score is inversely related to the risk of polycystic ovary syndrome in Tehranian women: a case-control study

2021 ◽  
pp. 1-6
Author(s):  
Sahel Soodi ◽  
Seyed Ali Keshavarz ◽  
Sedighe Hosseini ◽  
Behnood Abbasi
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Case Control Study ◽  
Dietary Diversity ◽  
Polycystic Ovary ◽  
Case Control ◽  
Control Groups ◽  
Ovary Syndrome ◽  
And Control ◽  
The Relationship ◽  
Control Study

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among women of reproductive age and is affected by various dietary factors. Therefore, this study aimed to investigate the relationship between dietary diversity score (DDS) and the risk of PCOS. Our case-control study was conducted in the summer and autumn of 2019 in Taleghani and Arash hospitals in Tehran, Iran. A total of 494 participants (203 cases and 291 controls) were included in the study. Thereafter, their demographic information, dietary intake, and anthropometric and physical activity assessments were gathered. A validated semi-quantitative food frequency questionnaire was then used to calculate the DDS by scoring 5 food groups. To evaluate the risk of PCOS in association with DDS, the subjects were categorized based on the quartile cut-off points of the DDS. The mean ± SD age of the participants in both the case and control groups was 28.98 ± 5.43 and 30.15 ± 6.21 years, while mean ± SD body mass index was 25.74 ± 5.44 and 23.65 ± 3.90 kg/m2, respectively. The comparison between the case and control groups indicated that total DDS was 5.19 ± 1.19 for the cases and 5.51 ± 1.19 for the controls. The comparison of DDS in the highest versus the lowest quartiles showed a decreased risk of PCOS (p < 0.05). We demonstrated an inverse association between DDS and PCOS compared with the control group. Furthermore, a higher DDS was significantly associated with a lower risk of PCOS (odds ratio = 0.40). Novelty: This is the first investigation on the relationship between DDS and PCOS. Results depicted an inverse relationship between DDS and PCOS.

scholarly journals The Use of SenseWear Armband for Assessment of Daily Energy Expenditure and the Relation to Body Fat Distribution and Nutritional Intake in Lean Women with Polycystic Ovary Syndrome

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gulcan Arusoglu
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Nutritional Intake ◽  
Control Group ◽  
Ovary Syndrome ◽  
Sensewear Armband ◽  
Segmental Body Composition

Objective. To evaluate nutritional intake, energy expenditure, and segmental body composition in lean women with polycystic ovary syndrome (PCOS) and compare them with age- and body mass index- (BMI-) matched control women. Methods. 32 nonobese patients with PCOS and 31 age- and BMI-matched healthy women were included in the study. Energy expenditure and physical activity level were assessed by metabolic Holter equipment (SenseWear Armband, SWA) which was never previously used in lean PCOS population. Food intake is recorded with 24 hours of food record. Segmental body composition analysis was assessed by bioelectrical impedance analyses (BIA). Results. Mean BMI was 22.64 ± 3.64 and 21.55 ± 2.77 kg/m2 (p=0.185) in PCOS and control groups, respectively. Mean age was 22.03 ± 4.21 and 21.71 ± 2.67 year (p=0.720), respectively. No significant differences were found in total energy intake and percentage of carbohydrates, fats, and other micronutrients (p>0.05). Energy percentage of proteins (%12.73 ± 1.98, p=0.008) was statistically lower in subjects versus the control group. The measurements of physical activity duration (PAD) (1.40 ± 0.87/2.18 ± 0.99 hours, p=0.002), active energy expenditure (372.35 ± 198.32/494.10 ± 186.50 kcal, p=0.018), and step counting (9370.03 ± 3587.49/11730.90 ± 3564.31 steps, p=0.013) measurement of the PCOS group were lower than the control group, respectively. Conclusions. New diagnosed women with PCOS had similar distribution and quantity of body fat parameters and nutritional status when compared to healthy women. Control subjects were found more active in energy expenditure.

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