Dataset Information

Polymorphisms in the SHBG gene influence serum SHBG levels in women with polycystic ovary syndrome.

ABSTRACT:

Context

Single-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).

Objective

The 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.

Design

Using 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.

Setting

The study was conducted at academic medical centers.

Patients or other participants

A 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 measures

Primary outcome measures included transmission frequency of SNP alleles and correlation coefficients between SHBG and allele frequency/metabolic parameters.

Results

No 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.

Conclusions

Although 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.

SUBMITTER: Wickham EP

PROVIDER: S-EPMC3070246 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Publications

Polymorphisms in the SHBG gene influence serum SHBG levels in women with polycystic ovary syndrome.

Wickham Edmond P EP Ewens Kathryn G KG Legro Richard S RS Dunaif Andrea A Nestler John E JE Strauss Jerome F JF

The Journal of clinical endocrinology and metabolism 20110120 4

<h4>Context</h4>Single-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).<h4>Objective</h4>The 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.<h4>Design</h4>Using the transmission disequilibrium test, evide ...[more]

PMID: 21252242

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Project description:BackgroundPolycystic ovary syndrome (PCOS) is a complex multifactorial disorder, affecting millions of women worldwide. The role of genetic polymorphisms of the KISS1 gene on the development of PCOS is still obscure. This study was designed to investigate the probable influence of KISS1 gene polymorphisms on PCOS and its associated variables: BMI, waist-hip ratio, kisspeptin, LH, FSH, and LH-FSH ratio.MethodsThe study comprised 104 PCOS women and 109 controls, with age ranging from 19 to 36 years. BMI, waist-hip ratio, and circulating levels of kisspeptin, LH, and FSH were measured. DNA was extracted, and genotyping of the KISS1 gene was carried out by nucleotide sequencing. The PCOS-associated variables were analyzed in different genotypes of single nucleotide polymorphisms (SNPs) of the KISS1 gene.ResultsThe values of waist-hip ratio (WHR), LH, and LH-FSH ratio were significantly higher in PCOS women than controls. BMI, kisspeptin, and FSH levels exhibited no significant difference between the groups. Six novel SNPs of KISS1 gene were identified. Three: rs372790354G > A, rs12998G > A, and rs35431622A > T were investigated. Among these SNPs, the genotype and allele frequencies of rs372790354 showed significant association with PCOS (GA: p = 0.018, AA: p = 0.022, mutant allele-A: p = 0.021) and the G allele was protective. The values of LH, kisspeptin, and WHR of PCOS women were significantly influenced (p < 0.05) by the AA genotype of rs372790354. The other two SNPs rs12998G > A and rs35431622A > T revealed no significant influence on PCOS and associated variables. Haplotypes were constructed, but there was no significant difference between the patients and controls.ConclusionIn conclusion, this is the first study, which reports a significant influence of KISS1 gene polymorphism (rs372790354G > A) on PCOS and its associated variables. However, more extensive research is necessary to confirm these findings.

Project description:ContextA subset of polycystic ovary syndrome (PCOS) individuals also have type 2 diabetes (T2D); an unmet need to identify this subgroup exists.ObjectiveWe looked at the potential role of serum chemerin, a proinflammatory adipokine, in identifying dysglycemic PCOS.MethodsA total of 93 PCOS and 33 healthy controls were classified, based on fasting and 2-hour plasma glucose levels (2hPGPG) and glycated hemoglobin A1c (HbA1c) (%) into normoglycemic (n = 34), dysglycemic (n = 33), and T2D (n = 26). Serum chemerin were measured by enzyme-linked immunosorbent assay. Homeostatic model 2 assessment of insulin resistance (HOMA-2IR) and homeostatic model 2 assessment of β-cell function (HOMA-2β) were computed using serum C-peptide.ResultsMetabolic syndrome was present in 9.7% (National Cholesterol Education Program) of PCOS. Waist circumference, body fat (%), 2hPGPG, and HbA1c levels were significantly higher in T2D group. Serum triglycerides/high-density lipoprotein cholesterol (TGs/HDL-c) ratio was increased in PCOS individuals with T2D; no significant changes in total cholesterol and LDL-c levels were seen. Serum chemerin levels were significantly higher (P < .001) in the PCOS group. Total body fat (%), 2hPGPG, HbA1c, and TG/HDL-c ratio correlated positively with chemerin levels. Serum chemerin levels correlated positively with HOMA2IR and negatively with HOMA-2β. On receiver operating characteristic curve analysis, a serum chemerin cutoff level of greater than 309.3 ng/mL differentiated PCOS individuals with dysglycemia from those without (sensitivity 85.71%, specificity 89.47%). The Cohen kappa test revealed a substantial agreement (P < .001) between chemerin cutoff and 2hPGPG levels greater than 200 mg/dL. The present study is arguably the first ever to define a serum chemerin cutoff to distinguish PCOS individuals with T2D from those without.ConclusionElevated serum chemerin levels reliably identify PCOS individuals with dysglycemia. Further, longitudinal studies with larger samples are required to confirm this association.

Project description:Polycystic ovary syndrome (PCOS) is the commonest endocrine disorder affecting women of reproductive age. Its aetiology, though yet unclear, is presumed to have an oligogenic basis interacting with environmental factors. Kisspeptins are peptide products of Kiss1 gene that control the hypothalamic pituitary (HPG) axis by acting via G protein-coupled receptor known as GPR54. There is paucity of data on the role of Kiss1 and GPR54 gene in PCOS. We aimed to identify the polymorphisms in Kiss1 and GPR54 genes and explore their association with serum kisspeptin levels among Sri Lankan women with well-characterized PCOS. Consecutive women with PCOS manifesting from adolescence (n=55) and adult controls (n=110) were recruited. Serum kisspeptin and testosterone levels were determined by ELISA method. Whole gene sequencing was performed to identify the polymorphisms in Kiss1 and GPR54 genes. Serum kisspeptin and testosterone concentrations were significantly higher in women with PCOS than controls: kisspeptin 4.873nmol/L versus 4.127nmol/L; testosterone 4.713nmol/L versus 3.415 nmol/L, p<0.05. Sequencing the GPR54 gene revealed 5 single nucleotide polymorphisms (SNPs), rs10407968, rs1250729403, rs350131, chr19:918686, and chr19:918735, with two novel SNPs (chr19:918686 and chr19:918735), while sequencing the Kiss1 gene revealed 2 SNPs, rs5780218 and rs4889. All identified SNPs showed no significant difference in frequency between patients and controls. GPR54 gene rs350131 polymorphism (G/T) was detected more frequently in our study population. The heterozygous allele (AG) of GPR54 gene novel polymorphism chr19:918686 showed a marginal association with serum kisspeptin levels (p=0.053). Genetic variations in GPR54 and Kiss1 genes are unlikely to be associated with PCOS among Sri Lankan women manifesting from adolescence. Meanwhile the heterozygous allele of chr19:918686 is probably associated with serum kisspeptin concentrations, which suggests a potential role in the aetiology of PCOS.

Project description:Background: Recent reports have highlighted the role of monosaccharide biosynthesis in the pathogenesis of polycystic ovary syndrome (PCOS), suggesting that these processes may serve as a biomarker in PCOS. Mannose is the main monosaccharide for protein glycosylation in mammals; however, the correlation between mannose and PCOS remains largely unknown. Materials and Methods: A total of 132 Chinese Han women were recruited at Shengjing Hospital of China Medical University. Mannose levels were measured in serum samples collected from 71 patients with PCOS (29 lean, 42 obese) and 61 control subjects (28 lean, 33 obese). Receiver operating characteristics (ROC) curves were prepared to compare the diagnostic performance of mannose and hormonal parameters, individually or in combination. Multivariate logistic regression analysis was used to assess whether serum mannose levels were associated with PCOS after adjusting for other co-variables. Results: We showed that serum mannose levels were significantly increased in PCOS patients compared with control subjects regardless of obese status, and hyperandrogenic PCOS patients had higher serum mannose levels than normo-androgenic PCOS and control subjects. In addition, serum mannose levels were significantly correlated with serum androgen levels. Mannose had an area under the curve (AUC) of 73% at a cutoff value of 225.79 ng/mL with a sensitivity of 66.2% and specificity of 73.8% for predicting PCOS. There were no differences between mannose, total testosterone, free testosterone, or dehydroepiandrosterone sulfate in the reliability of predicting PCOS using the method outlined by Hanley and McNeil. Combining mannose and total testosterone resulted in a higher AUC of 83.3%, and had moderate sensitivity (78.9%) and specificity (77%) for predicting PCOS. The positive and negative predictive values were 80% and 75.8%, respectively. Multivariate logistic regression revealed that higher serum mannose levels were strongly associated with an increased risk of PCOS (P = 0.016; odds ratio, 5.623; 95% confidence interval, 1.371-23.070). Conclusion: Taken together, substantially elevated serum mannose levels are significantly associated with PCOS, highlighting the importance of further research into the role of mannose in the pathogenesis of PCOS.

Project description:IntroductionPolychlorinated biphenyls (PCBs), organic lipophilic pollutants that accumulate through diet and increase with age, have been associated with polycystic ovary syndrome (PCOS) and shown to affect microRNA (miRNA) expression. This work aimed to determine if PCBs were associated with circulating miRNAs and whether there were any correlations with serum PCB/miRNA levels and hormonal changes.Methods29 non-obese PCOS and 29 healthy control women, with similar age and body mass index (BMI), had their serum miRNAs measured together with 7 indicator PCBs (PCB28, PCB52, PCB101, PCB118, PCB138, PCB153, PCB180) using high resolution gas chromatography coupled with high resolution mass spectrometry.ResultsIn the combined study cohort, four miRNAs (hsa-miR-139-5p, hsa-miR-424-5p, hsa-miR-195-5p, hsa-miR-335-5p) correlated with PCBs, but none correlated with metabolic parameters. hsa-miR-335-5p correlated with FSH. When stratified, 25 miRNAs correlated with PCBs in controls compared to only one (hsa-miR-193a-5p) in PCOS; none of these miRNAs correlated with the metabolic parameters of BMI, insulin resistance, or inflammation (C-reactive protein, CRP). However, of these 25 miRNAs in controls, hsa-miR-26a-5p, hsa-miR-193a-5p, hsa-miR-2110 and hsa-miR-195-5p positively correlated with luteinizing hormone (LH), hsa-miR-99b-5p and hsa-miR-146b-5p correlated with estradiol, hsa-miR-193a-5p correlated with progesterone, hsa-miR-195-5p correlated with follicle stimulating hormone (FSH), and hsa-miR-139-5p and hsa-miR-146b-5p negatively correlated with anti-müllerian hormone (AMH) (all p<0.05). hsa-miR-193a-5p in PCOS cases correlated with estradiol.ConclusionIn this cohort of women, with no difference in age and BMI, and with similar PCB levels, the miRNAs correlating to PCBs associated with menstrual cycle factors in healthy menstruating controls versus the anovulatory PCOS subjects. The PCB-associated miRNAs did not correlate with non-reproductive hormonal and metabolic parameters. This suggests that PCB effects on miRNAs may result in changes to the hypothalamo-ovarian axis that may thus affect fertility.

Dataset Information

Polymorphisms in the SHBG gene influence serum SHBG levels in women with polycystic ovary syndrome.

Context

Objective

Design

Setting

Patients or other participants

Main outcome measures

Results

Conclusions

Publications

Polymorphisms in the SHBG gene influence serum SHBG levels in women with polycystic ovary syndrome.

Similar Datasets

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