Increased risk markers in women with polycystic ovary syndrome and gestational diabetes mellitus during mid-pregnancy

Beyond Hormones: A Systematic Review of the Risk of Cardiovascular Diseases in Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women in the reproductive age group. PCOS is defined by the Rotterdam criteria, which include hyperandrogenism, oligo-anovulation, and polycystic ovaries on ultrasound. The common symptoms are irregular or absent periods, acne, hirsutism, and alopecia androgenica. Increased prevalence of metabolic syndrome is seen among women with PCOS, which increases cardiovascular risk (CVR). Insulin resistance (IR), being most common in PCOS, is often seen in patients with obesity. IR and obesity induce chronic low-grade inflammation in PCOS, increasing various inflammatory markers. Increase in the parameters of tumor necrosis factor-alpha (TNF-alpha), interleukin-1 (IL-1), interleukin-6 (IL-6), C- reactive protein (CRP), plasminogen, endothelin-1, fibrinogen, cystatin-C, fetuin B, vascular endothelial growth factor, and endostatin levels have been documented in the PCOS-affected women. Microbiota alteration is also seen in this demographic, which increases metabolites like trimethylamine-N-oxide (TMAO). TMAO, because of its pro-atherosclerotic activity, is linked to an increase in CVR. In this systematic review, we intended to discover the causes and factors that lead to increased CVR in women diagnosed with PCOS. This systematic review used PubMed, regular keywords, and Google Scholar. The inclusion criteria included the human female population of all ages and literature available in the English language in free full text published between the years 2019 and 2024. The exclusion criteria included research involving animals, works published before 2019, articles written in a language other than English, and articles not publicly available. A total of 89 articles were identified, and 8 final articles were selected after quality assessment.

Investigating the causal impact of polycystic ovary syndrome on gestational diabetes mellitus: a two-sample Mendelian randomization study

Introduction

Determining the causal relationship between polycystic ovary syndrome (PCOS) and gestational diabetes mellitus (GDM) holds significant implications for GDM prevention and treatment. Despite numerous observational studies suggesting an association between PCOS and GDM, it remains unclear whether a definitive causal relationship exists between these two conditions and which specific features of PCOS contribute to increased incidence of GDM.

Methods

The causal relationship between polycystic ovary syndrome (PCOS), its characteristic indices, and gestational diabetes mellitus (GDM) was investigated using a two-sample Mendelian randomization study based on publicly available statistics from genome-wide association studies (GWAS). The inverse-variance weighted method was employed as the primary analytical approach to examine the association between PCOS, its characteristic indices, and GDM. MR Egger intercept was used to assess pleiotropy, while Q values and their corresponding P values were utilized to evaluate heterogeneity. It is important to note that this study adopts a two-sample MR design where PCOS and its characteristic indices are considered as exposures, while GDM is treated as an outcome.

Results

The study results indicate that there is no causal relationship between PCOS and GDM (all methods P > 0.05, 95% CI of OR values passed 1). The IVW OR value was 1.007 with a 95% CI of 0.906 to 1.119 and a P value of 0.904. Moreover, the MR Egger Q value was 8.141 with a P value of 0.701, while the IVW Q value was also 8.141 with a P value of 0.774, indicating no significant heterogeneity. Additionally, the MR Egger intercept was 0.0004, which was close to zero with a P value of 0.988, suggesting no pleiotropy. However, the study did find a causal relationship between several other factors such as testosterone, high-density lipoprotein, sex hormone-binding globulin, body mass index, waist-hip ratio, apolipoprotein A-I, number of children, diabetes illnesses of mother, father and siblings, hemoglobin A1c, fasting insulin, fasting blood glucose, years of schooling, and GDM based on the IVW method.

Conclusion

We observed no association between genetically predicted PCOS and the risk of GDM, implying that PCOS itself does not confer an increased susceptibility to GDM. The presence of other PCOS-related factors such as testosterone, high-density lipoprotein, and sex hormone-binding globulin may elucidate the link between PCOS and GDM. Based on these findings, efforts aimed at preventing GDM in individuals with PCOS should prioritize those exhibiting high-risk features rather than encompassing all women with PCOS.

Role of cystatin C levels as an inflammatory marker in predicting endometriosis

OBJECTIVE

Endometriosis is a common chronic inflammatory disease associated with infertility and pelvic pain. Diagnosis is based on the appearance of endometriotic lesions at the time of surgery. Our study aimed to determine whether cystatin C can be used as a predictor of endometriosis and to investigate its potential role in doing so.

METHODS

The study included 45 patients with endometriosis between the ages of 18 and 40 years whose pathology results were compatible with endometriosis and were operated on, and a control group of 45 healthy women. These two groups were compared in terms of serum cystatin C levels, demographic-clinical characteristics, operation results, and other laboratory values.

RESULTS

The cystatin C and hs-CRP levels of the endometriosis patients were found to be significantly higher than the control subjects (p<0.005). Whether the endometriosis disease could be detected for serum cystatin C levels was determined by the receiver operating characteristic analysis and the most appropriate positive cutoff value for cystatin C was found to be 5.14 ng/mL (86.7% sensitivity and 77.8% specificity). In the linear regression analysis, it was observed that the probability of endometriosis increased 2.5 times when cystatin C levels increased above the threshold value of 5.14 ng/mL (OR: 2.5; 95%CI 2.24-2.76).

CONCLUSION

Our study shows that the serum cystatin C levels can be used as a guide for diagnosis in patients with advanced endometriosis. However, more research is needed to prove its reliability and accuracy in order to put it into practice.