Environmental and genetic factors influence age at menarche in women with polycystic ovary syndrome.
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ABSTRACT: Objective
We hypothesized that body mass index (BMI) and DNA variants would predict age at menarche in polycystic ovarian syndrome (PCOS).Subjects
Subjects aged 18-45 years with PCOS defined by the National Institutes of Health criteria (n=522) and controls with regular menstrual cycles and no hyperandrogenism (n=472) were studied.Methods
Age at menarche was compared between PCOS cases and controls and examined as a function of multiple parameters.Results
There was a strong inverse relationship between BMI and age at menarche in PCOS (r=-0.32, p=5 x lO(-11)). The chromosome 6 rs7759938-T variant was associated with earlier age at menarche in women with PCOS (12.60 +/- 0.09 vs. 13.41 +/- 0.23 years; genotype TT vs. CC; p = 0.006). Age at menarche was predicted by PCOS status (beta = 0.512, p < 0.001), reported weight group at 10-14 years (beta = -0.432, p < 0.001), current BMI (beta = -0.0202, p = 0.01), and genotype (beta = 0.169, p = 0.02).Conclusions
Age at menarche in women with PCOS is influenced by BMI and genetic variants near LIN28B.
SUBMITTER: Carroll J
PROVIDER: S-EPMC3597236 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Publications
Environmental and genetic factors influence age at menarche in women with polycystic ovary syndrome.
Carroll Jessica J Saxena Richa R Welt Corrine K CK
Journal of pediatric endocrinology & metabolism : JPEM 20120101 5-6
<h4>Objective</h4>We hypothesized that body mass index (BMI) and DNA variants would predict age at menarche in polycystic ovarian syndrome (PCOS).<h4>Subjects</h4>Subjects aged 18-45 years with PCOS defined by the National Institutes of Health criteria (n=522) and controls with regular menstrual cycles and no hyperandrogenism (n=472) were studied.<h4>Methods</h4>Age at menarche was compared between PCOS cases and controls and examined as a function of multiple parameters.<h4>Results</h4>There wa ...[more]
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Project description:IntroductionPolycystic ovary syndrome (PCOS) is a common condition characterized by reproductive, hyperandrogenic and dysmetabolic features, and often becomes clinically manifest during adolescence, particularly with weight-gain.Sources of dataPubmed search.Areas of agreementPCOS is heritable and closely associates with obesity (based on data from both epidemiological and genetic studies). Furthermore, insulin resistance forms a central cornerstone of the pathogenesis of PCOS and mediates a close association between obesity and the severity of the phenotypic features of PCOS.Areas of controversyOur understanding of the pathogenesis of PCOS remains incomplete, especially regarding its missing heritability (with only a small fraction having been identified from the genome-wide association studies reported to date), and its developmental origins.Growing pointsA challenge for the future is to explore a role for epigenetic modifications in the development of PCOS, and implications for the in utero environment and novel therapeutic opportunities.
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Project description:BackgroundPolycystic ovary syndrome (PCOS) affects 8% to 13% of reproductive-aged women and is associated with reproductive and metabolic dysfunction. Obesity worsens the presentation of PCOS and weight management (weight loss, maintenance or prevention of excess weight gain) is proposed as an initial treatment strategy, best achieved through lifestyle changes incorporating diet, exercise and behavioural interventions.ObjectivesTo assess the effectiveness of lifestyle treatment in improving reproductive, anthropometric (weight and body composition), metabolic and quality of life factors in PCOS.Search methodsWe searched the Cochrane Gynaecology and Fertility Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, PsycINFO, CINAHL and AMED (date of last search March 2018). We also searched controlled trials registries, conference abstracts, relevant journals, reference lists of relevant papers and reviews, and grey literature databases, with no language restrictions applied.Selection criteriaRandomised controlled trials (RCTs) comparing lifestyle treatment (diet, exercise, behavioural or combined treatments) to minimal or no treatment in women with PCOS.Data collection and analysisTwo authors independently selected trials, assessed evidence quality and risk of bias, and extracted data. Our primary outcomes were live birth, miscarriage and pregnancy. We used inverse variance and fixed-effect models in the meta-analyses. We reported dichotomous outcomes as an odds ratio and continuous outcomes as a mean difference (MD) or standardised mean difference (SMD).Main resultsWe included 15 studies with 498 participants. Ten studies compared physical activity to minimal dietary and behavioural intervention or no intervention. Five studies compared combined dietary, exercise and behavioural intervention to minimal intervention. One study compared behavioural intervention to minimal intervention. Risk of bias varied: eight studies had adequate sequence generation, seven had adequate clinician or outcome assessor blinding, seven had adequate allocation concealment, six had complete outcome data and six were free of selective reporting. No studies assessed the fertility primary outcomes of live birth or miscarriage. No studies reported the secondary reproductive outcome of menstrual regularity, as defined in this review.Lifestyle intervention may improve a secondary (endocrine) reproductive outcome, the free androgen index (FAI) (MD -1.11, 95% confidence interval (CI) -1.96 to -0.26, 6 RCTs, N = 204, I2 = 71%, low-quality evidence). Lifestyle intervention may reduce weight (kg) (MD -1.68 kg, 95% CI -2.66 to -0.70, 9 RCTs, N = 353, I2 = 47%, low-quality evidence). Lifestyle intervention may reduce body mass index (BMI) (kg/m2) (-0.34 kg/m2, 95% CI -0.68 to -0.01, 12 RCTs, N = 434, I2= 0%, low-quality evidence). We are uncertain of the effect of lifestyle intervention on glucose tolerance (glucose outcomes in oral glucose tolerance test) (mmol/L/minute) (SMD -0.02, 95% CI -0.38 to 0.33, 3 RCTs, N = 121, I2 = 0%, low-quality evidence).Authors' conclusionsLifestyle intervention may improve the free androgen index (FAI), weight and BMI in women with PCOS. We are uncertain of the effect of lifestyle intervention on glucose tolerance. There were no studies that looked at the effect of lifestyle intervention on live birth, miscarriage or menstrual regularity. Most studies in this review were of low quality mainly due to high or unclear risk of bias across most domains and high heterogeneity for the FAI outcome.
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Project description:BackgroundThis multi-center, cross-sectional study intended to explore the prevalence and risk factors of nonalcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) in patients with polycystic ovary syndrome (PCOS).MethodsPatients who met the PCOS Rotterdam diagnostic criteria were enrolled in 6 centers in China, and age-matched healthy volunteers were also recruited. Data were collected including medical history, physical characteristics, and blood tests (liver function, blood lipids, blood glucose and insulin, sex hormones, etc.). Transvaginal or transrectal ultrasound was employed to identify polycystic ovarian morphology (PCOM). The serological score Liver Fat Score (LFS) >-0.640 was used for the diagnosis of NAFLD, and the diagnosis of MAFLD was made according to the 2020 new definition.ResultsA total of 217 PCOS patients and 72 healthy controls were included. PCOS patients had impaired glucose and lipid metabolism, higher liver enzymes and LFS. Both NAFLD (33.6%) and MAFLD (42.8%) was more prevalent in PCOS patients than in controls (4.2%, P < 0.001). Logistic regression results showed that HOMA-IR ≥ 3.54 and ALT ≥ 18.2 were independently associated with NAFLD (P < 0.001) and MAFLD (P ≤ 0.001). The prevalence of NAFLD was significantly higher in PCOS patients with free androgen index (FAI) > 8 (53.8% versus 17.4%, P < 0.001) and BMI ≥ 24 kg/m2 (57.3%, 11.3%, P < 0.001).ConclusionThe prevalence of NAFLD/MAFLD in PCOS patients was significantly higher than that in healthy controls and was independently associated with HOMA-IR and ALT. PCOS patients with overweight and elevated FAI have a higher prevalence of fatty liver.
| S-EPMC10521461 | biostudies-literature
Project description: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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Project description:ContextSingle-nucleotide polymorphisms (SNPs) in the SHBG gene are associated with type 2 diabetes mellitus. SHBG has also been proposed as a candidate gene for the polycystic ovary syndrome (PCOS).ObjectiveThe study aims were 1) to determine whether any of four SHBG SNPs (rs1779941, rs6297, rs6259, and rs727428) are associated with PCOS and 2) to determine whether SNP genotype influences SHBG levels in PCOS women.DesignUsing the transmission disequilibrium test, evidence of associations between SHBG SNPs and PCOS were analyzed. Additionally, correlations between SHBG levels and SNP genotype, body mass index, non-SHBG-bound testosterone, and insulin resistance estimated by the homeostasis model were determined.SettingThe study was conducted at academic medical centers.Patients or other participantsA total of 430 families having a proband with PCOS were included in the family-based study. Associations between SNP genotypes, SHBG, and metabolic parameters were determined in 758 women with PCOS including probands from the family cohort.Main outcome measuresPrimary outcome measures included transmission frequency of SNP alleles and correlation coefficients between SHBG and allele frequency/metabolic parameters.ResultsNo evidence of association between SNPs of interest and PCOS was found. However, in multivariate analyses, SHBG levels varied significantly with rs1799941 and rs727428 genotype after controlling for body mass index, non-SHBG-bound testosterone, and homeostasis model for insulin resistance.ConclusionsAlthough SHBG SNPs associated with type 2 diabetes mellitus do not appear to be associated with PCOS status, rs1799941 and rs727428 genotypes are associated with SHBG levels independent of the effects of insulin resistance and obesity.
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