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Open access

Moderate increases in daily step count are associated with reduced IL6 and CRP in women with PCOS

M A Webb, H Mani, S J Robertson, H L Waller, D R Webb, C L Edwardson, D H Bodicoat, T Yates, K Khunti, and M J Davies

Aims

Physical activity has been proposed to be an effective non-pharmacological method of reducing systemic inflammation and therefore may prove particularly efficacious for women with polycystic ovary syndrome (PCOS) who have been shown to have high levels of inflammation and an increased risk of type 2 diabetes (T2DM) and cardiovascular disease (CVD). Therefore, the aim of the present study was to assess whether modest changes in daily step count could significantly reduce levels of inflammatory markers in women with PCOS.

Subjects and Methods

Sixty-five women with PCOS were assessed at baseline and again at 6 months. All had been provided with an accelerometer and encouraged to increase activity levels. Multivariate linear regression analyses (adjusted for age, ethnicity, baseline step count, change in BMI and change in accelerometer wear-time) were used to assess changes in daily step count against clinical and research biomarkers of inflammation, CVD and T2DM.

Results

Mean step count/day at baseline was 6337 (±270). An increase in step count (by 1000 steps) was associated with a 13% reduction in IL6 (β: −0.81 ng/L; 95% CI, −1.37, −0.25, P = 0.005) and a 13% reduction in CRP (β: −0.68 mg/L; 95% CI, −1.30, −0.06, P = 0.033). Additionally, there was a modest decrease in BMI (β: 0.20 kg/m2; 95% CI, −0.38, −0.01, P = 0.038). Clinical markers of T2DM and CVD were not affected by increased step count.

Conclusions

Modest increases in step count/day can reduce levels of inflammatory markers in women with PCOS, which may reduce the future risk of T2DM and CVD.

DOI:
https://doi.org/10.1530/EC-18-0438
Volume 7: Issue 12,
Pages:
1442–1447 (6 total)
Open access

Polycystic ovary syndrome and risk factors for gestational diabetes

Sanna Mustaniemi, Marja Vääräsmäki, Johan G Eriksson, Mika Gissler, Hannele Laivuori, Hilkka Ijäs, Aini Bloigu, Eero Kajantie, and Laure Morin-Papunen

Objective

To study the roles of self-reported symptoms and/or prior diagnosis of polycystic ovary syndrome (PCOS) and other potential risk factors for gestational diabetes mellitus (GDM) and to clarify whether the screening of GDM in early pregnancy is beneficial for all women with PCOS.

Design

The FinnGeDi multicentre case-control study including 1146 women with singleton pregnancies diagnosed with GDM and 1066 non-diabetic pregnant women. There were 174 women with PCOS (symptoms and/or diagnosis self-reported by a questionnaire) and 1767 women without PCOS (data missing for 271).

Methods

The study population (N = 1941) was divided into four subgroups: GDM + PCOS (N = 105), GDM + non-PCOS (N = 909), non-GDM + PCOS (N = 69), and controls (N = 858). The participants’ characteristics and their parents’ medical histories were compared.

Results

The prevalence of PCOS was 10.4% among GDM women and 7.4% among non-diabetics (odds ratios (OR) 1.44, 95% CI: 1.05–1.97), but PCOS was not an independent risk for GDM after adjustments for participants’ age and pre-pregnancy BMI (OR 1.07, 95% CI: 0.74–1.54). In a multivariate logistic regression analysis, the most significant parameters associated with GDM were overweight, obesity, age ≥35 years, participant’s mother’s history of GDM, either parent’s history of type 2 diabetes (T2D) and participant’s own preterm birth.

Conclusions

The increased risk of GDM in women with PCOS was related to obesity and increased maternal age rather than to PCOS itself, suggesting that routine early screening of GDM in PCOS women without other risk factors should be reconsidered. Instead, family history of GDM/T2D and own preterm birth were independent risk factors for GDM.

DOI:
https://doi.org/10.1530/EC-18-0076
Volume 7: Issue 7,
Pages:
859–869 (11 total)
Open access

Effect of liraglutide on atrial natriuretic peptide, adrenomedullin, and copeptin in PCOS

Signe Frøssing, Malin Nylander, Caroline Kistorp, Sven O Skouby, and Jens Faber

Context

Women with polycystic ovary syndrome (PCOS) have an increased risk of cardiovascular disease (CVD), and biomarkers can be used to detect early subclinical CVD. Midregional-pro-adrenomedullin (MR-proADM), midregional-pro-atrial natriuretic peptide (MR-proANP) and copeptin are all associated with CVD and part of the delicate system controlling fluid and hemodynamic homeostasis through vascular tonus and diuresis. The GLP-1 receptor agonist liraglutide, developed for treatment of type 2 diabetes (T2D), improves cardiovascular outcomes in patients with T2D including a decrease in particular MR-proANP.

Objective

To investigate if treatment with liraglutide in women with PCOS reduces levels of the cardiovascular biomarkers MR-proADM, MR-proANP and copeptin.

Methods

Seventy-two overweight women with PCOS were treated with 1.8 mg/day liraglutide or placebo for 26 weeks in a placebo-controlled RCT. Biomarkers, anthropometrics, insulin resistance, body composition (DXA) and visceral fat (MRI) were examined.

Results

Baseline median (IQR) levels were as follows: MR-proADM 0.52 (0.45–0.56) nmol/L, MR-proANP 44.8 (34.6–56.7) pmol/L and copeptin 4.95 (3.50–6.50) pmol/L. Mean percentage differences (95% CI) between liraglutide and placebo group after treatment were as follows: MR-proADM −6% (−11 to 2, P = 0.058), MR-proANP −25% (−37 to −11, P = 0.001) and copeptin +4% (−13 to 25, P = 0.64). Reduction in MR-proANP concentration correlated with both increased heart rate and diastolic blood pressure in the liraglutide group. Multiple regression analyses with adjustment for BMI, free testosterone, insulin resistance, visceral fat, heart rate and eGFR showed reductions in MR-proANP to be independently correlated with an increase in the heart rate.

Conclusion

In an RCT, liraglutide treatment in women with PCOS reduced levels of the cardiovascular risk biomarkers MR-proANP with 25% and MR-proADM with 6% (borderline significance) compared with placebo. The decrease in MR-proANP was independently associated with an increase in the heart rate.

DOI:
https://doi.org/10.1530/EC-17-0327
Volume 7: Issue 1,
Pages:
115–123 (9 total)
Open access

Limitations of insulin resistance assessment in polycystic ovary syndrome

Krzysztof C Lewandowski, Justyna Płusajska, Wojciech Horzelski, Ewa Bieniek, and Andrzej Lewiński

Background

Though insulin resistance (IR) is common in polycystic ovary syndrome (PCOS), there is no agreement as to what surrogate method of assessment of IR is most reliable.

Subjects and methods

In 478 women with PCOS, we compared methods based on fasting insulin and either fasting glucose (HOMA-IR and QUICKI) or triglycerides (McAuley Index) with IR indices derived from glucose and insulin during OGTT (Belfiore, Matsuda and Stumvoll indices).

Results

There was a strong correlation between IR indices derived from fasting values HOMA-IR/QUICKI, r = −0.999, HOMA-IR/McAuley index, r = −0.849 and between all OGTT-derived IR indices (e.g. r = −0.876, for IRI/Matsuda, r = −0.808, for IRI/Stumvoll, and r = 0.947, for Matsuda/Stumvoll index, P < 0.001 for all), contrasting with a significant (P < 0.001), but highly variable correlation between IR indices derived from fasting vs OGTT-derived variables, ranging from r = −0.881 (HOMA-IR/Matsuda), through r = 0.58, or r = −0.58 (IRI/HOMA-IR, IRI/QUICKI, respectively) to r = 0.41 (QUICKI/Stumvoll), and r = 0.386 for QUICKI/Matsuda indices. Detailed comparison between HOMA-IR and IRI revealed that concordance between HOMA and IRI was poor for HOMA-IR/IRI values above 75th and 90th percentile. For instance, only 53% (70/132) women with HOMA-IR >75th percentile had IRI value also above 75th percentile. There was a significant, but weak correlation of all IR indices with testosterone concentrations.

Conclusions

Significant number of women with PCOS can be classified as being either insulin sensitive or insulin resistant depending on the method applied, as correlation between various IR indices is highly variable. Clinical application of surrogate indices for assessment of IR in PCOS must be therefore viewed with an extreme caution.

DOI:
https://doi.org/10.1530/EC-18-0021
Volume 7: Issue 3,
Pages:
403–412 (10 total)
Open access

Metformin decreases miR-122, miR-223 and miR-29a in women with polycystic ovary syndrome

Pernille Bækgaard Udesen, Dorte Glintborg, Anja Elaine Sørensen, Rikke Svendsen, Nanna Louise Skov Nielsen, Marie Louise Muff Wissing, Marianne Skovsager Andersen, Anne Lis Mikkelsen Englund, and Louise Torp Dalgaard

Metformin is associated with increased insulin sensitivity, whereas oral contraceptive pills (OCP) could increase the risk for type 2 diabetes (T2D) in women with polycystic ovary syndrome (PCOS). Certain miRNAs might serve as biomarkers for the risk of T2D. The aim of this study was to investigate changes in circulating miRNA levels during treatment with metformin and OCP in women with PCOS. Sixty-five women with PCOS according to Rotterdam criteria were randomized to metformin (2 g/day), metformin + OCP (150 mg desogestrel + 30 µg ethinylestradiol) or OCP alone for 12 months. Serum miRNA analysis was performed with individual RT-qPCR or Taqman low density array cards of 22 selected miRNAs previously related to PCOS, glucose and/or lipid metabolism. miR-122 and miR-29a levels were decreased after treatment with metformin compared with metformin + OCP and OCP group: miR-122: log2 difference −0.7 (P = 0.01) and −0.7 (P = 0.02), miR-29a: log2 difference −0.5 (P = 0.01) and −0.4 (P = 0.04), while miR-223 levels were decreased in the metformin + OCP group after treatment: log2 difference −0.5 (P = 0.02). During the treatment period, a significant weight loss was observed in the metformin group compared with the OCP group. In the OCP group, miRNA levels were unchanged during the treatment period. Levels of circulating miRNAs associated with lipid and glucose metabolism decreased during metformin treatment. Changes in miRNA levels in the metformin group could be explained by the simultaneous weight loss in the same group. These results support the notion that metformin treatment alone may be superior for metabolic health compared with OCP.

DOI:
https://doi.org/10.1530/EC-20-0195
Volume 9: Issue 11,
Pages:
1075–1084 (10 total)
Open access

Association between PCOS and autoimmune thyroid disease: a systematic review and meta-analysis

Mírian Romitti, Vitor C Fabris, Patricia K Ziegelmann, Ana Luiza Maia, and Poli Mara Spritzer

Polycystic ovary syndrome (PCOS) is the most prevalent endocrine disorder affecting women of reproductive age. PCOS has been associated with distinct metabolic and cardiovascular diseases and with autoimmune conditions, predominantly autoimmune thyroid disease (AITD). AITD has been reported in 18–40% of PCOS women, depending on PCOS diagnostic criteria and ethnicity. The aim of this systematic review and meta-analysis was to summarize the available evidence regarding the likelihood of women with PCOS also having AITD in comparison to a reference group of non-PCOS women. We systematically searched EMBASE and MEDLINE for non-interventional case control, cross-sectional or cohort studies published until August 2017. The Ottawa–Newcastle Scale was used to assess the methodological quality of studies. Statistical meta-analysis was performed with R. Thirteen studies were selected for the present analysis, including 1210 women diagnosed with PCOS and 987 healthy controls. AITD was observed in 26.03 and 9.72% of PCOS and control groups respectively. A significant association was detected between PCOS and chance of AITD (OR = 3.27, 95% CI 2.32–4.63). Notably, after geographical stratification, the higher risk of AITD in PCOS women persisted for Asians (OR = 4.56, 95% CI 2.47–8.43), Europeans (OR = 3.27, 95% CI 2.07–5.15) and South Americans (OR = 1.86, 95% CI 1.05–3.29). AIDT is a frequent condition in PCOS patients and might affect thyroid function. Thus, screening for thyroid function and thyroid-specific autoantibodies should be considered in patients with PCOS even in the absence of overt symptoms. This systematic review and meta-analysis is registered in PROSPERO under number CRD42017079676.

DOI:
https://doi.org/10.1530/EC-18-0309
Volume 7: Issue 11,
Pages:
1158–1167 (10 total)
Open access

Complex diseases and co-morbidities: polycystic ovary syndrome and type 2 diabetes mellitus

Raymond J Rodgers, Jodie C Avery, Vivienne M Moore, Michael J Davies, Ricardo Azziz, Elisabet Stener-Victorin, Lisa J Moran, Sarah A Robertson, Nigel K Stepto, Robert J Norman, and Helena J Teede

Objective

Many complex diseases exhibit co-morbidities often requiring management by more than one health specialist. We examined cross-speciality issues that ultimately affect the health and wellbeing of patients with polycystic ovary syndrome (PCOS). PCOS was originally described as a reproductive condition but is now recognised to also be a metabolic and psychological condition affecting 8–13% of women of reproductive age. With a four-fold increased risk of type 2 diabetes (DM2), the Population Attributable Risk of DM2 that could be avoided if PCOS were eliminated is a substantial 19–28% of women of reproductive age. To determine the extent to which PCOS is an important consideration in diabetes development, we examined publications, funding, guidelines and predictors of risk of developing DM2.

Results

We found that the topic of PCOS appeared in specialist diabetes journals at only 10% the rate seen in endocrinology journals – about 1 in 500 articles. We found research funding to be substantially less than for diabetes and found that diabetes guidelines and predictive tools for DM2 risk mostly ignore PCOS. This is surprising since insulin resistance in women with PCOS has a different aetiology and additionally women with PCOS are at increased risk of becoming overweight or obese – high risk factors for DM2.

Conclusions

We consider the causes of these concerning anomalies and discuss current activities to address the co-morbidities of PCOS, including the recent development of international guidelines, an international PCOS awareness program and potentially changing the name of PCOS to better reflect its metabolic consequences.

DOI:
https://doi.org/10.1530/EC-18-0502
Volume 8: Issue 3,
Pages:
R71–R75
Open access

Anti-Müllerian hormone was independently associated with central obesity but not with general obesity in women with PCOS

Xiying Zeng, Yinxiang Huang, Mulin Zhang, Yun Chen, Jiawen Ye, Yan Han, Danyan Ma, Xin Zheng, Xiaohong Yan, and Changqin Liu

Objective

Anti-Müllerian hormone (AMH) is recognized as the most important biomarker for ovarian reserve. In this cross-sectional study, we aimed to explore the potential association of AMH with central obesity or general obesity in women with polycystic ovary syndrome (PCOS).

Methods

In this cross-sectional study, 179 patients with PCOS were enrolled and underwent anthropometric measurements (BMI and waist circumference (WC)) and serum AMH level detection. Pearson’s correlation and multivariable logistic regression analyses were performed to determine the associations of AMH with central obesity and general obesity.

Results

Subjects with increasing BMI showed significantly lower values of AMH (median (interquartile range (IQR)) 8.95 (6.03–13.60) ng/mL in normal weight group, 6.57 (4.18–8.77) ng/mL in overweight group, and 6.03 (4.34–9.44) ng/mL in obesity group, P = 0.001), but higher levels of systolic blood pressure, fasting insulin, total cholesterol, triglycerides, LDL-c, obesity indices (WC, hip circumferences, waist-to-hip ratio, waist-to-height ratio (WHtR), and Chinese visceral adiposity index (CVAI)). Compared with the group of PCOS women without central obesity, the group with central obesity had significantly lower value of AMH (median (IQR) 8.56 (5.29–12.96) ng/mL vs 6.22 (4.33–8.82) ng/mL; P = 0.003). Pearson’s correlation analysis showed that AMH was significantly and negatively correlated with BMI (r = −0.280; P < 0.001), WC (r = −0.263; P < 0.001), WHtR (r = −0.273; P < 0.001), and CVAI (r = −0.211; P = 0.006). Multivariate logistic regression analysis with adjustment for potential confounding factors showed that AMH was independently and negatively associated with central obesity but was not significantly associated with general obesity.

Conclusions

AMH was independently and negatively associated with central obesity. Closely monitoring the WC and AMH should be addressed in terms of assessing ovarian reserve in women with PCOS.

DOI:
https://doi.org/10.1530/EC-21-0243
Volume 11: Issue 1
Open access

Characteristic gut microbiota and predicted metabolic functions in women with PCOS

Ling Zhou, Zhexin Ni, Wen Cheng, Jin Yu, Shuai Sun, Dongxia Zhai, Chaoqin Yu, and Zailong Cai

Polycystic ovary syndrome (PCOS) is a chronic endocrine and metabolic disease. Gut microbiota is closely related to many chronic diseases. In this study, we conducted a cross-sectional study and recruited 30 obese (OG) and 30 non-obese (NG) women with PCOS, 30 healthy women (NC) and 11 healthy but obese women (OC) as controls to investigate the characteristic gut microbiota and its metabolic functions in obese and non-obese patients with PCOS. The blood and non-menstrual faecal samples of all the participants were collected and analysed. As a result, the Hirsutism score, LH/FSH and serum T level in NG and OG both increased significantly compared with their controls (P < 0.05). High-throughput 16S rRNA gene sequencing revealed that the abundance and diversity of the gut microbiota changed in patients with PCOS. The linear discriminant analysis (LDA) indicated that Lactococcus was the characteristic gut microbiota in NG, while Coprococcus_2 in OG. Correlation heatmap analysis revealed that the sex hormones and insulin levels in human serum were closely related to the changes in the gut microbiota of NG and OG. Functional prediction analysis demonstrated that the citrate cycle pathway enriched both in NG and OG, and other 12 gut bacterial metabolic pathways enriched in NG. This study highlighted significant differences in the gut microbiota and predictive functions of obese and non-obese women with PCOS, thereby providing insights into the role and function of the gut microbiota that may contribute to the occurrence and development of PCOS in obese and non-obese women.

DOI:
https://doi.org/10.1530/EC-19-0522
Volume 9: Issue 1,
Pages:
63–73 (11 total)
Open access

Effects of oral contraceptives on metabolic parameters in adult premenopausal women: a meta-analysis

Lina S Silva-Bermudez, Freddy J K Toloza, Maria C Perez-Matos, Russell J de Souza, Laura Banfield, Andrea Vargas-Villanueva, and Carlos O Mendivil

Objective

To estimate the effect of oral contraceptives (OC) containing different progestins on parameters of lipid and carbohydrate metabolism through a systematic review and meta-analysis.

Patients and methods

Premenopausal women aged 18 or older, who received oral contraceptives containing chlormadinone, cyproterone, drospirenone, levonorgestrel, desogestrel, dienogest, gestodene or norgestimate, for at least 3 months. Outcome variables were changes in plasma lipids, BMI, insulin resistance and plasma glucose. We searched MEDLINE and EMBASE for randomized trials and estimated the pooled within-group change in each outcome variable using a random-effects model. We performed subgroup analyses by study duration (<12 months vs ≥12 months) and polycystic ovary syndrome (PCOS) status.

Results

Eighty-two clinical trials fulfilled the inclusion criteria. All progestins (except dienogest) increased plasma TG, ranging from 12.1 mg/dL for levonorgestrel (P < 0.001) to 35.1 mg/dL for chlormadinone (P < 0.001). Most progestins also increased HDLc, with the largest effect observed for chlormadinone (+9.6 mg/dL, P < 0.001) and drospirenone (+7.4 mg/dL, P < 0.001). Meanwhile, levonorgestrel decreased HDLc by 4.4 mg/dL (P < 0.001). Levonorgestrel (+6.8 mg/dL, P < 0.001) and norgestimate (+11.5 mg/dL, P = 0.003) increased LDLc, while dienogest decreased it (–7.7 mg/dL, P = 0.04). Cyproterone slightly reduced plasma glucose. None of the progestins affected BMI or HOMA-IR. Similar results were observed in subgroups defined by PCOS or study duration.

Conclusion

Most progestins increase both TG and HDLc, their effect on LDLc varies widely. OC have minor or no effects on BMI, HOMA-IR and glycemia. The antiandrogen progestins dienogest and cyproterone displayed the most favorable metabolic profile, while levonorgestrel displayed the least favorable.

DOI:
https://doi.org/10.1530/EC-20-0423
Volume 9: Issue 10,
Pages:
978–998 (21 total)