Immunological and Metabolic Causes of Infertility in Polycystic Ovary Syndrome

Zishen Qingre Lishi Huayu Recipe May Ameliorate the Symptoms of PCOS Model Rats via Alleviating Systemic and Ovarian Inflammation

BACKGROUND

Zishen Qingre Lishi Huayu recipe (ZQLHR) has shown significant therapeutic effects in treating sex hormone levels and follicular developmental disorders in patients with polycystic ovary syndrome (PCOS). However, little is known about the potential mechanisms of its treatment.

METHODS

Dehydroepiandrosterone and a high-fat diet induced the PCOS model rat. The serum of rats was collected to detect the levels of sex hormones and inflammatory cytokines by enzyme-linked immunosorbent assay, and the ovaries were collected for ovarian histopathology and qPCR assay to detect the levels of inflammatory cytokines in ovarian tissues. Granulosa cells (GCs) were collected for western blot assay to detect of IL-1β, IL-6R, and LOX protein expression levels.

RESULTS

ZQLHR could reduce body weight, regulate estrous cycles, and improve serum sex hormone levels, follicular development, and insulin resistance (IR) in PCOS model rats. In addition, ZQLHR treatment improved the levels of inflammatory cytokines in serum and ovary, and regulated the protein expression of IL-6R, IL-1β, and LOX in GCs of PCOS model rats. The results showed that the HOMA-IR index increased with the increasing levels of IL-6, IL-1β, and CRP, and decreased with the increased IL-10.

CONCLUSION

This study reveals that the treatment of endocrine disorders and ovulation disorders in PCOS with ZQLHR may be closely related to the improvement of systemic and ovarian inflammation in PCOS patients, as well as the inhibition of IL-6R, IL-1β, and LOX expression in GCs, which reemphasizes the role of reducing chronic inflammatory states in the treatment of PCOS. Moreover, this study reemphasizes the correlation between multiple inflammatory mediators and IR.

Usefulness of the Sympto-Thermal Method with Standardized Cervical Mucus Assessment (InVivo Method) for Evaluating the Monthly Cycle in Women with Polycystic Ovary Syndrome (PCOS)

(1) Background: FABMs (fertility awareness-based methods) are methods that rely on the observation of clinical signs related to fertility found in women, the so-called fertility bioindicators. They can be a valuable tool for diagnosing monthly cycle disorders and infertility, for example, among patients with PCOS (polycystic ovary syndrome). Until now, it has been difficult for women with PCOS to use FABM, due to the difficulty of describing fertility bioindicators and their disorders due to the biology of the syndrome. The new InVivo sympto-thermal method with standardized cervical mucus assessment may provide a valuable diagnostic and therapeutic tool for observing the monthly cycle in this group of women. (2) Methods: The monthly cycle was evaluated in a group of 32 women of reproductive age. A total of 108 monthly cycle observation cards were analyzed: 35 monthly cycle cards were collected from 18 women with PCOS, and 73 monthly cycle cards collected from 14 healthy women. In addition, 32 pairs of macroscopic and microscopic images were evaluated: 17 pairs from the study group (four subjects) and 15 pairs from women in the control group (six subjects). (3) Results: We showed that in the group of patients with PCOS, menstruation was longer (p = 0.000814), the number of mucus peaks was statistically higher (p = 0.040747), and the interquartile range (IQR) of the duration of the follicular phase (calculated according to the BBT) was significantly higher (8 days) compared to women in the control group. We also observed that among all the women studied, the microscopic image of cervical mucus correlated with the cycle phase described in the observation card, as determined by reference to the BBT chart, provided that it showed the correct features. (4) Conclusions: Systematic maintenance of monthly cycle observation charts using the InVivo method can be an important supplement to the medical history, as it allows for a thorough assessment of, among others, the timing of monthly bleeding, cervical mucus symptoms, BBT changes, and the duration of the follicular and luteal phases among both healthy and PCOS women.

Association between dietary inflammation index and female infertility from National Health and Nutrition Examination Survey: 2013-2018

Objective

To investigate the relationship between dietary inflammatory index (DII) scores and infertility in US adults aged 18 to 45.

Methods

Data were gathered from the 2013-2018 National Health and Nutrition Examination Survey (NHANES). In total, 3496 women were included in the study. To examine the relationship between DII, EDII and infertility, a weighted multivariable logistic regression analysis using continuous factors or categorical variables grouped by quartiles was conducted. Using subgroup analysis stratified based on DII and infertility features, the association between DII and infertility has been further studied. In order to determine whether there was a nonlinear relationship between DII and infertility, restricted cubic spline (RCS) analysis was carried out.

Results

For statistical analysis, a total of 3496 individuals - 367 patients with infertility and 3129 persons without infertility - were included. A multivariable logistic regression study revealed a positive relationship between DII and infertility. A significant difference in subgroup analysis was shown in age group and race, although RCS analysis demonstrated nonlinear relationship between the DII and infertility.

Conclusion

For participants aged 18-45 years, higher DII scores were positively correlated with infertility. In addition, anti-inflammatory diets might improve infertility outcomes.

Astaxanthin supplementation impact on insulin resistance, lipid profile, blood pressure, and oxidative stress in polycystic ovary syndrome patients: A triple-blind randomized clinical trial

Astaxanthin (ASX) is a natural carotenoid compound found in several of microorganisms and seafood. It may have numerous therapeutic benefits for polycystic ovarian syndrome (PCOS) patients. The aim of this study was to investigate the effect of ASX on lipid profile, insulin resistance (IR), blood pressure (BP), and oxidative stress (OS) levels in infertile PCOS patients. Overall, 58 infertile women with diagnosed PCOS participated in this triple-blind randomized clinical trial. They were randomly assigned to two groups, taking either a placebo or ASX (2 × 6 mg/day) for 8 weeks. Blood serum samples were collected from patients before and after the intervention. Fasting Insulin (FI), fasting blood glucose (FBS), OS markers (malondialdehyde [MDA], superoxide dismutase [SOD], and total antioxidant capacity [TAC]), and lipid profiles were evaluated in serum. Moreover, based on the relevant formula, several indices associated with IR were calculated. BP was also assessed at the start and end of the study. After 8 weeks of ASX consumption, a significant reduction was observed in fasting blood sugar, HOMA-IR, FI, MDA, low-density lipoprotein-cholesterol, and TC/HDL-C. Conversely, ASX significantly increased TAC, HDL-C, and QUICKI. After adjusting the analysis for the baseline values of age, body mass index, and biochemical parameters, non-significant values were obtained for QUICKI and FI, along with no changes in other findings. Overall, ASX appears to be an effective and safe supplement that alleviates insulin metabolism, lipid profile parameters, and OS in infertile PCOS patients.

Molecular role of non-exonic variants in CALPAIN 10 gene in polycystic ovarian syndrome in Saudi women

Introduction

Non-diabetic women with polycystic ovarian syndrome (PCOS) often have abnormal insulin regulation. Calpain 10 (CALP10) is a biomarker of type 2 diabetes mellitus, with some of its single-nucleotide polymorphisms (SNPs) influencing PCOS development.

Methods

In this case-control study on 90 women each with and without PCOS, we explored the molecular role of five CALP10 SNPs using biochemical parameters and Sanger sequencing analyses.

Results

Different genetic models, genotypes, and allele frequencies were significantly associated with UCSNP-19 (rs3842570; p=0.01), UCSNP-44 (rs2975760; p=0.009), UCSNP-56 (rs2975762; p<0.0001), and UCSNP-63 (rs5030952; p=0.0003) in women with PCOS. The multiple logistic regression model showed a strong association of CALP10 SNPs with fasting blood glucose (p<0.001). ANOVA showed significant associations with various biochemical parameters such as FSH (p=0.0001) in UCSNP-19 (rs3842570), FI (p=0.002), TG (p=0.01) in UCSNP-56 (rs2975762) and FBG (p=0.001), FI (p=0.004), FSH (p=0.02) & LDLc (p=0.04) in UCSNP-63 (rs5030952) SNPs. Haplotype analysis also revealed significant associations between different combinations of alleles in the studied 5 SNPs in women with PCOS (p<0.05). Generalized multifactor dimensionality reduction analysis showed the best gene-gene interactions among the five SNPs in CALP10I (p<0.05). However, dendrogram and graphical depletion models found no strong association in women with PCOS.

Conclusion

In conclusion, this study confirms rs3842570, rs2975760, rs2975767, and rs5030952 SNPs in CALP10 gene is associated in diagnosed PCOS women in the Saudi Arabia.

Polycystic Ovary Syndrome and Oxidative Stress-From Bench to Bedside

Oxidative stress (OS) is a condition that occurs as a result of an imbalance between the production of reactive oxygen species (ROS) and the body's ability to detoxify and neutralize them. It can play a role in a variety of reproductive system conditions, including polycystic ovary syndrome (PCOS), endometriosis, preeclampsia, and infertility. In this review, we briefly discuss the links between oxidative stress and PCOS. Mitochondrial mutations may lead to impaired oxidative phosphorylation (OXPHOS), decreased adenosine triphosphate (ATP) production, and an increased production of ROS. These functional consequences may contribute to the metabolic and hormonal dysregulation observed in PCOS. Studies have shown that OS negatively affects ovarian follicles and disrupts normal follicular development and maturation. Excessive ROS may damage oocytes and granulosa cells within the follicles, impairing their quality and compromising fertility. Impaired OXPHOS and mitochondrial dysfunction may contribute to insulin resistance (IR) by disrupting insulin signaling pathways and impairing glucose metabolism. Due to dysfunctional OXPHOS, reduced ATP production, may hinder insulin-stimulated glucose uptake, leading to IR. Hyperandrogenism promotes inflammation and IR, both of which can increase the production of ROS and lead to OS. A detrimental feedback loop ensues as IR escalates, causing elevated insulin levels that exacerbate OS. Exploring the relations between OS and PCOS is crucial to fully understand the role of OS in the pathophysiology of PCOS and to develop effective treatment strategies to improve the quality of life of women affected by this condition. The role of antioxidants as potential therapies is also discussed.

Exome sequencing to explore the possibility of predicting genetic susceptibility to the joint occurrence of polycystic ovary syndrome and Hashimoto's thyroiditis

A large body of evidence indicates that women with polycystic ovary syndrome (PCOS) have a higher risk of developing Hashimoto's thyroiditis (HT) than healthy individuals. Given the strong genetic impact on both diseases, common predisposing genetic factors are possibly involved but are not fully understood. Here, we performed whole-exome sequencing (WES) for 250 women with sporadic PCOS, HT, combined PCOS and HT (PCOS+HT), and healthy controls to explore the genetic background of the joint occurrence of PCOS and HT. Based on relevant comparative analyses, multivariate logistic regression prediction modeling, and the most informative feature selection using the Monte Carlo feature selection and interdependency discovery algorithm, 77 variants were selected for further validation by TaqMan genotyping in a group of 533 patients. In the allele frequency test, variants in RAB6A, GBP3, and FNDC7 genes were found to significantly (padjusted < 0.05) differentiated the PCOS+HT and PCOS groups, variant in HIF3A differentiated the PCOS+HT and HT groups, whereas variants in CDK20 and CCDC71 differentiated the PCOS+HT and both single disorder groups. TaqMan genotyping data were used to create final prediction models, which differentiated between PCOS+HT and PCOS or HT with a prediction accuracy of AUC = 0.78. Using a 70% cutoff of the prediction score improved the model parameters, increasing the AUC value to 0.87. In summary, we demonstrated the polygenic burden of both PCOS and HT, and many common and intersecting signaling pathways and biological processes whose disorders mutually predispose patients to the development of both diseases.