Psychological Distress Is More Prevalent in Fertile Age and Premenopausal Women With PCOS Symptoms : 15-Year Follow-Up

Context: Polycystic ovary syndrome (PCOS) is associated with increased psychological distress, obesity and hyperandrogenism being suggested as key promoters. Objectives: To investigate the prevalence of anxiety/depression and their coexistence in women with PCOS/PCOS-related symptoms at ages 31 and 46. The roles of obesity, hyperandrogenism, and awareness of PCOS on psychological distress were also assessed. Design: Population-based follow-up. Setting: Northern Finland Birth Cohort 1966 with 15-year follow-up. Participants: At age 31, a questionnaire-based screening for oligoamenorrhea (OA) and hirsutism (H): 2188 asymptomatic (controls), 331 OA, 323 H, and 125 OA plus H (PCOS). Follow-up at age 46: 1576 controls, 239 OA, 231 H, and 85 PCOS. Interventions: Questionnaire-based screening for anxiety and depression symptoms (Hopkins Symptom Checklist-25) and previously diagnosed/treated depression at ages 31 and 46. Body mass index (BMI), serum testosterone/free androgen index, and awareness of polycystic ovaries/PCOS on psychological distress were also assessed. Main Outcomes: Population-based prevalence of anxiety and/or depression in women with PCOS/PCOS-related symptoms at ages 31 and 46. Results: Anxiety and/or depression symptoms, their coexistence, and rate of depression were increased at ages 31 and 46 in women with PCOS or isolated H compared with controls. High BMI or hyperandrogenism did not associate with increased anxiety or depression symptoms. The awareness of PCOS was associated with increased anxiety. Conclusions: Women with PCOS or isolated H present more often with anxiety and/or depression symptoms and their coexistence compared with controls. High BMI or hyperandrogenism did not provoke psychological distress in PCOS. The awareness of PCOS increased anxiety but did not associate with severe anxiety or depression.Peer reviewe

Psychological Distress Is More Prevalent in Fertile Age and Premenopausal Women With PCOS Symptoms : 15-Year Follow-Up

Context: Polycystic ovary syndrome (PCOS) is associated with increased psychological distress, obesity and hyperandrogenism being suggested as key promoters. Objectives: To investigate the prevalence of anxiety/depression and their coexistence in women with PCOS/PCOS-related symptoms at ages 31 and 46. The roles of obesity, hyperandrogenism, and awareness of PCOS on psychological distress were also assessed. Design: Population-based follow-up. Setting: Northern Finland Birth Cohort 1966 with 15-year follow-up. Participants: At age 31, a questionnaire-based screening for oligoamenorrhea (OA) and hirsutism (H): 2188 asymptomatic (controls), 331 OA, 323 H, and 125 OA plus H (PCOS). Follow-up at age 46: 1576 controls, 239 OA, 231 H, and 85 PCOS. Interventions: Questionnaire-based screening for anxiety and depression symptoms (Hopkins Symptom Checklist-25) and previously diagnosed/treated depression at ages 31 and 46. Body mass index (BMI), serum testosterone/free androgen index, and awareness of polycystic ovaries/PCOS on psychological distress were also assessed. Main Outcomes: Population-based prevalence of anxiety and/or depression in women with PCOS/PCOS-related symptoms at ages 31 and 46. Results: Anxiety and/or depression symptoms, their coexistence, and rate of depression were increased at ages 31 and 46 in women with PCOS or isolated H compared with controls. High BMI or hyperandrogenism did not associate with increased anxiety or depression symptoms. The awareness of PCOS was associated with increased anxiety. Conclusions: Women with PCOS or isolated H present more often with anxiety and/or depression symptoms and their coexistence compared with controls. High BMI or hyperandrogenism did not provoke psychological distress in PCOS. The awareness of PCOS increased anxiety but did not associate with severe anxiety or depression.Peer reviewe

Gestational Diabetes But Not Prepregnancy Overweight Predicts for Cardiometabolic Markers in Offspring Twenty Years Later

Context: Maternal gestational diabetes mellitus (GDM) and prepregnancy overweight/obesity [body mass index (BMI) >= 25 kg/m(2)] might adversely affect offspring cardiometabolic health. Objective: To assess the associations between maternal GDM and prepregnancy overweight/obesity with adult offspring cardiometabolic risk factors. Design: Longitudinal cohort study (ESTER Maternal Pregnancy Disorders Study and the Arvo Ylppo Longitudinal Study). Setting: Province of Uusimaa and Northern Finland. Participants: At a mean age of 24.1 +/- 1.3 years, we classified offspring as offspring of mothers with GDM regardless of the prepregnancy BMI (OGDM; n = 193); normoglycemic mothers with pre pregnancy overweight/obesity (ONO; n = 157); and normoglycemic mothers with prepregnancy BMI Main Outcome Measures: We assessed the cardiometabolic biomarkers from blood and measured the blood pressure at rest and heart rate. Results: Compared with the controls, the OGDM and ONO groups had greater fasting glucose (1.6%; 95% CI, 0.1% to 3.1%; and 2.3%; 95% CI, 0.5% to 4.3%, respectively) and insulin (12.7%; 95% CI, 4.4% to 21.9%; and 8.7%; 95% CI, 0.2% to 17.8%). These differences attenuated to nonsignificance when adjusted for confounders and/or current offspring characteristics, including BMI or body fat percentage. The OGDM group had lower SHBG (men, 12.4%; 95% CI, 20.2% to 3.9%; women, 33.2%; 95% CI, 46.3% to 16.8%), high-density lipoprotein (-6.6%; 95% CI, 10.9% to 2.2%), and apolipoprotein Al (-4.5%; 95% CI, 7.5% to 1.4%). These differences survived the adjustments. The heart rate and other biomarkers were similar among the groups. Conclusions: Adult offspring of mothers with GDM have increased markers of insulin resistance and a more atherogenic lipid profile. These were only partly explained by confounders or current offspring adiposity. Maternal prepregnancy overweight/obesity was associated with impaired offspring glucose regulation, which was explained by confounders and/or current adiposity.Peer reviewe

Normo- and hyperandrogenic women with polycystic ovary syndrome exhibit an adverse metabolic profile through life

Objective: To compare the metabolic profiles of normo- and hyperandrogenic women with polycystic ovary syndrome (PCOS) with those of control women at different ages during reproductive life. Design: Case-control study. Setting: Not applicable. Patient(s): In all, 1,550 women with normoandrogenic (n = 686) or hyperandrogenic (n = 842) PCOS and 447 control women were divided into three age groups: 39 years). Interventions(s): None. Main Outcome Measure(s): Body mass index (BMI), waist circumference, blood pressure, glucose, insulin, cholesterol, lipoproteins, triglycerides and high-sensitivity C-reactive protein. Result(s): Both normo- and hyperandrogenic women with PCOS were more obese, especially abdominally. They had increased serum levels of insulin (fasting and in oral glucose tolerance tests), triglycerides, low-density lipoprotein, and total cholesterol, higher blood pressure, and lower high-density lipoprotein levels independently from BMI compared with the control population as early as from young adulthood until menopause. The prevalence of metabolic syndrome was two-to fivefold higher in women with PCOS compared with control women, depending on age and phenotype, and the highest prevalence was observed in hyperandrogenic women with PCOS at late reproductive age. Conclusion(s): When evaluating metabolic risks in women with PCOS, androgenic status, especially abdominal obesity and age, should be taken into account, which would allow tailored management of the syndrome from early adulthood on. (C) 2016 by American Society for Reproductive Medicine.Peer reviewe

Gestational Diabetes But Not Prepregnancy Overweight Predicts for Cardiometabolic Markers in Offspring Twenty Years Later

ContextMaternal gestational diabetes mellitus (GDM) and prepregnancy overweight/obesity [body mass index (BMI) ≥25 kg/m2] might adversely affect offspring cardiometabolic health.ObjectiveTo assess the associations between maternal GDM and prepregnancy overweight/obesity with adult offspring cardiometabolic risk factors.DesignLongitudinal cohort study (ESTER Maternal Pregnancy Disorders Study and the Arvo Ylppö Longitudinal Study).SettingProvince of Uusimaa and Northern Finland.ParticipantsAt a mean age of 24.1 ± 1.3 years, we classified offspring as offspring of mothers with GDM regardless of the prepregnancy BMI (OGDM; n = 193); normoglycemic mothers with prepregnancy overweight/obesity (ONO; n = 157); and normoglycemic mothers with prepregnancy BMI Main Outcome MeasuresWe assessed the cardiometabolic biomarkers from blood and measured the blood pressure at rest and heart rate.ResultsCompared with the controls, the OGDM and ONO groups had greater fasting glucose (1.6%; 95% CI, 0.1% to 3.1%; and 2.3%; 95% CI, 0.5% to 4.3%, respectively) and insulin (12.7%; 95% CI, 4.4% to 21.9%; and 8.7%; 95% CI, 0.2% to 17.8%). These differences attenuated to nonsignificance when adjusted for confounders and/or current offspring characteristics, including BMI or body fat percentage. The OGDM group had lower SHBG (men, −12.4%; 95% CI, −20.2% to −3.9%; women, −33.2%; 95% CI, −46.3% to −16.8%), high-density lipoprotein (−6.6%; 95% CI, −10.9% to −2.2%), and apolipoprotein A1 (−4.5%; 95% CI, −7.5% to −1.4%). These differences survived the adjustments. The heart rate and other biomarkers were similar among the groups.ConclusionsAdult offspring of mothers with GDM have increased markers of insulin resistance and a more atherogenic lipid profile. These were only partly explained by confounders or current offspring adiposity. Maternal prepregnancy overweight/obesity was associated with impaired offspring glucose regulation, which was explained by confounders and/or current adiposity.</div

A genome-wide association study identifies protein quantitative trait loci (pQTLs)

There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts - cis effects, and elsewhere in the genome - trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8×10 -57), CCL4L1 (p = 3.9×10-21), IL18 (p = 6.8×10-13), LPA (p = 4.4×10-10), GGT1 (p = 1.5×10-7), SHBG (p = 3.1×10-7), CRP (p = 6.4×10-6) and IL1RN (p = 7.3×10-6) genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R), altered secretion rates of different sized proteins (LPA), variation in gene copy number (CCL4L1) and altered transcription (GGT1). We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha) levels (p = 6.8×10-40), but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis locations. The identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving our understanding of disease pathways. © 2008 Melzer et al

Biological, clinical and population relevance of 95 loci for blood lipids.

Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in &gt;100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P &lt; 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD

Genetic evidence that raised sex hormone binding globulin (SHBG) levels reduce the risk of type 2 diabetes

Epidemiological studies consistently show that circulating sex hormone binding globulin (SHBG) levels are lower in type 2 diabetes patients than non-diabetic individuals, but the causal nature of this association is controversial. Genetic studies can help dissect causal directions of epidemiological associations because genotypes are much less likely to be confounded, biased or influenced by disease processes. Using this Mendelian randomization principle, we selected a common single nucleotide polymorphism (SNP) near the SHBG gene, rs1799941, that is strongly associated with SHBG levels. We used data from this SNP, or closely correlated SNPs, in 27 657 type 2 diabetes patients and 58 481 controls from 15 studies. We then used data from additional studies to estimate the difference in SHBG levels between type 2 diabetes patients and controls. The SHBG SNP rs1799941 was associated with type 2 diabetes [odds ratio (OR) 0.94, 95% CI: 0.91, 0.97; P = 2 × 10−5], with the SHBG raising allele associated with reduced risk of type 2 diabetes. This effect was very similar to that expected (OR 0.92, 95% CI: 0.88, 0.96), given the SHBG-SNP versus SHBG levels association (SHBG levels are 0.2 standard deviations higher per copy of the A allele) and the SHBG levels versus type 2 diabetes association (SHBG levels are 0.23 standard deviations lower in type 2 diabetic patients compared to controls). Results were very similar in men and women. There was no evidence that this variant is associated with diabetes-related intermediate traits, including several measures of insulin secretion and resistance. Our results, together with those from another recent genetic study, strengthen evidence that SHBG and sex hormones are involved in the aetiology of type 2 diabetes

A Genome-Wide Association Study Identifies rs2000999 as a Strong Genetic Determinant of Circulating Haptoglobin Levels

Haptoglobin is an acute phase inflammatory marker. Its main function is to bind hemoglobin released from erythrocytes to aid its elimination, and thereby haptoglobin prevents the generation of reactive oxygen species in the blood. Haptoglobin levels have been repeatedly associated with a variety of inflammation-linked infectious and non-infectious diseases, including malaria, tuberculosis, human immunodeficiency virus, hepatitis C, diabetes, carotid atherosclerosis, and acute myocardial infarction. However, a comprehensive genetic assessment of the inter-individual variability of circulating haptoglobin levels has not been conducted so far

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms