scholarly journals Cervical Length and Androgens in Pregnant Women With Polycystic Ovary Syndrome: Has Metformin Any Effect?

2016 ◽  
Vol 101 (6) ◽  
pp. 2325-2331 ◽  
Author(s):  
Tone Shetelig Løvvik ◽  
Solhild Stridsklev ◽  
Sven M. Carlsen ◽  
Øyvind Salvesen ◽  
Eszter Vanky
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Preterm Delivery ◽  
Polycystic Ovary ◽  
First Trimester ◽  
Cervical Length ◽  
Cervical Ripening ◽  
Ovary Syndrome ◽  
Increased Risk ◽  
Gestational Week ◽  
Androgen Levels

Abstract Context: Women with polycystic ovary syndrome (PCOS) have increased risk of preterm delivery. Shortening of the cervix is a sign of preterm delivery. Objective: This study aimed to investigate potential effect of metformin on cervical length and whether androgen levels correlate with cervical length in PCOS pregnancies. Design and Setting: This was a sub-study of a randomized, placebo-controlled, multicenter study (The PregMet study) performed at 11 secondary or tertiary centers from 2005 to 2009. Participants: Two-hundred sixty-one pregnancies of 245 women with PCOS, age 18–42 years participated. Interventions: Participants were randomly assigned to metformin or placebo from first trimester to delivery. Outcome Measurements: We compared cervical length and androgen levels in metformin and placebo groups at gestational weeks 19 and 32. We also explored whether cervical length correlated with androgen levels. Results: We found no difference in cervical length between the metformin and the placebo groups at gestational week 19 and 32. Dehydroepiandrosterone (DHEAS) tended to be higher in the metformin group. There were no correlations between androgens and cervical length at week 19. At gestational week 32, androstenedione (P = .02) and DHEAS (P = .03) showed a trend toward negative correlation to cervical length. High androstenedione level correlated with shortening of cervical length from week 19 to 32 when adjusted for confounders (P = .003). T (P = .03), DHEAS (P = .02), and free testosterone index (P = .03) showed a similar trend. Conclusion: Metformin in pregnancy did not affect cervical length in women with PCOS. High maternal androgen levels correlated with cervical shortening from the second to the third trimester of pregnancy, as a sign of cervical ripening.

scholarly journals Pre-Conception Characteristics Predict Obstetrical and Neonatal Outcomes in Women With Polycystic Ovary Syndrome

2018 ◽  
Vol 104 (3) ◽  
pp. 809-818 ◽  
Author(s):  
Jacob P Christ ◽  
Marlise N Gunning ◽  
Cindy Meun ◽  
Marinus J C Eijkemans ◽  
Bas B van Rijn ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Preterm Delivery ◽  
Outcome Measures ◽  
Disease Risk ◽  
Adverse Outcome ◽  
Polycystic Ovary ◽  
National Registry ◽  
Neonatal Outcomes ◽  
Ovary Syndrome ◽  
Increased Risk

Abstract Context Women with polycystic ovary syndrome (PCOS) are at increased risk for obstetric and perinatal complications. At present, it is unknown how characteristics of PCOS relate to the likelihood of these complications. Objective To evaluate which preconception features are associated with obstetric and perinatal disease among infertile women with PCOS. Design Data from two prospective cohort studies completed from January 2004 until January 2014 were linked to Dutch Perinatal national registry outcomes. Setting Two Dutch university medical centers. Participants 2768 women diagnosed with PCOS were included. Participants underwent an extensive standardized preconception screening. Exclusion criteria included: age <18 years or >45 years, language barrier, or failure to meet PCOS criteria. Interventions None. Main Outcome Measures Outcome measures were obtained from the Dutch Perinatal national registry and included: preeclampsia, preterm delivery, small for gestational age (SGA), low Apgar score, and any adverse outcome. Results 1715 (62% of participants) women with PCOS were identified as undergoing a pregnancy with live birth after screening. In fully adjusted models, prepregnancy free androgen index was associated with subsequent preeclampsia [OR (95% CI), 1.1 (1.0 to 1.1)]. Fasting glucose [1.4 (1.2 to 1.7)] and testosterone [1.5 (1.2 to 1.7)] predicted preterm delivery. Fasting insulin [1.003 (1.001 to 1.005)], and testosterone [1.2 (1.1 to 1.4)] predicted any adverse outcome. SGA was only predicted by features nonspecific to PCOS. Conclusions Primary disease characteristics of PCOS, chiefly hyperandrogenism and impaired glucose tolerance, predict suboptimal obstetric and neonatal outcomes. Increased surveillance during pregnancy should focus on women with PCOS and these features to help mitigate disease risk.

Gestational Diabetes Mellitus in Women with Polycystic Ovary Syndrome Undergoing Assisted Reproduction

MedPharmRes ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 26-31
Author(s):  
Chau Tran ◽  
Lan Vuong
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Polycystic Ovary Syndrome ◽  
Gestational Diabetes Mellitus ◽  
Polycystic Ovary ◽  
First Trimester ◽  
Reproductive Age ◽  
Ovary Syndrome ◽  
Logistic Regression Models ◽  
Increased Risk

Polycystic ovary syndrome (PCOS) is a common endocrine metabolic disorder in women of reproductive age. PCOS is often associated with insulin resistance and carries an increased risk of gestational diabetes mellitus (GDM). The aim of this study was to evaluate the risk of GDM in women with a history of PCOS. This was a retrospective cohort study conducted at a single center in Vietnam between January 2014 and December 2017. A total of 400 women who conceived through assisted reproductive technology (ART) were included, 200 who had been diagnosed with PCOS, and 200 without a PCOS diagnosis as controls. Multivariable logistic regression models were used to examine the association between risk of GDM and PCOS after adjusting for confounders. GDM was present in 37% of those with PCOS, compared with 26.5% in those without PCOS (RR 1.4, 95% CI 1.04–1.87, p=0.02). The prevalence of GDM did not differ significantly between PCOS phenotype groups (p=0.28). Women with PCOS undergoing ART had a higher risk of GDM after adjusting for differences in age, pre-pregnancy body mass index, type of infertility, ART indications, and type of ART (adjusted OR 2.04, 95% CI 1.06–3.92). First-trimester fasting plasma glucose (FPG) was also an independent predictor for GDM (adjusted OR 1.54, 95% CI 1.01–2.34). This study suggests that PCOS and first-trimester FPG are independent risk factors for the development of GDM.

scholarly journals Relationships Between Biochemical Markers of Hyperandrogenism and Metabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 51 (01) ◽  
pp. 22-34 ◽  
Author(s):  
Mina Amiri ◽  
Fahimeh Tehrani ◽  
Razieh Bidhendi-Yarandi ◽  
Samira Behboudi-Gandevani ◽  
Fereidoun Azizi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Metabolic Parameters ◽  
High Density Lipoproteins ◽  
Total Testosterone ◽  
Ovary Syndrome ◽  
Increased Risk

AbstractWhile several studies have documented an increased risk of metabolic disorders in patients with polycystic ovary syndrome (PCOS), associations between androgenic and metabolic parameters in these patients are unclear. We aimed to investigate the relationships between biochemical markers of hyperandrogenism (HA) and metabolic parameters in women with PCOS. In this systematic review and meta-analysis, a literature search was performed in the PubMed, Scopus, Google Scholar, ScienceDirect, and Web of Science from 2000 to 2018 for assessing androgenic and metabolic parameters in PCOS patients. To assess the relationships between androgenic and metabolic parameters, meta-regression analysis was used. A total number of 33 studies involving 9905 patients with PCOS were included in this analysis. The associations of total testosterone (tT) with metabolic parameters were not significant; after adjustment for age and BMI, we detected associations of this androgen with low-density lipoproteins cholesterol (LDL-C) (β=0.006; 95% CI: 0.002, 0.01), high-density lipoproteins cholesterol (HDL-C) (β=–0.009; 95% CI: –0.02, –0.001), and systolic blood pressure (SBP) (β=–0.01; 95% CI: –0.03, –0.00). We observed a positive significant association between free testosterone (fT) and fasting insulin (β=0.49; 95% CI: 0.05, 0.91); this association remained significant after adjustment for confounders. We also detected a reverse association between fT and HDL-C (β=–0.41; 95% CI: –0.70, –0.12). There was a positive significant association between A4 and TG (β=0.02; 95% CI: 0.00, 0.04) after adjustment for PCOS diagnosis criteria. We also found significant negative associations between A4, TC, and LDL-C. Dehydroepiandrosterone sulfate (DHEAS) had a positive association with LDL-C (β=0.02; 95% CI: 0.001, 0.03) and a reverse significant association with HDL-C (β=–0.03; 95% CI: –0.06, –0.001). This meta-analysis confirmed the associations of some androgenic and metabolic parameters, indicating that measurement of these parameters may be useful for predicting metabolic risk in PCOS patients.

scholarly journals Increased risk of disordered eating in polycystic ovary syndrome

2017 ◽  
Vol 107 (3) ◽  
pp. 796-802 ◽  
Author(s):  
Iris Lee ◽  
Laura G. Cooney ◽  
Shailly Saini ◽  
Maria E. Smith ◽  
Mary D. Sammel ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Disordered Eating ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Increased Risk

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.

scholarly journals Potential genetic polymorphisms predicting polycystic ovary syndrome

2018 ◽  
Vol 7 (5) ◽  
pp. R187-R195 ◽  
Author(s):  
Yao Chen ◽  
Shu-ying Fang
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Genetic Polymorphisms ◽  
Polycystic Ovary ◽  
Gonadal Hormones ◽  
Energy Regulation ◽  
Ovary Syndrome ◽  
Increased Risk ◽  
Number Of Genes ◽  
Hormone Biosynthesis

Polycystic ovary syndrome (PCOS) is a heterogenous endocrine disorder with typical symptoms of oligomenorrhoea, hyperandrogenism, hirsutism, obesity, insulin resistance and increased risk of type 2 diabetes mellitus. Extensive evidence indicates that PCOS is a genetic disease and numerous biochemical pathways have been linked with its pathogenesis. A number of genes from these pathways have been investigated, which include those involved with steroid hormone biosynthesis and metabolism, action of gonadotropin and gonadal hormones, folliculogenesis, obesity and energy regulation, insulin secretion and action and many others. In this review, we summarize the historical and recent findings in genetic polymorphisms of PCOS from the relevant publications and outline some genetic polymorphisms that are potentially associated with the risk of PCOS. This information could uncover candidate genes associating with PCOS, which will be valuable for the development of novel diagnostic and treatment platforms for PCOS patients.

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