A novel single nucleotide polymorphism of INSR gene for polycystic ovary syndrome

Insights into Vitamin E with Combined Oral Contraceptive on INSR Gene in PCOS by Integrating In Silico and In Vivo Approaches

Polycystic ovarian syndrome (PCOS) is a hormone disorder common among reproductive-aged women. This is associated with the symptoms like an irregular menstrual cycle, excess androgens, and polycystic ovary. Interestingly, vitamin E acts like the hormone progesterone and improves insulin sensitivity in PCOS. The study aims to evaluate the therapeutic effect of vitamin E in combination with combined oral contraceptive (COC) against PCOS by in silico and in vivo methods. The therapeutic effect of vitamin E (25 and 50mg/kg) in combination with COC (0.4mg/kg) was screened by the in silico method using Auto dock vina 4.2.6. Additionally, in vivo studies with a letrozole-induced PCOS model were performed in 30 female SD rats (n = 6 in each group) for 8 weeks with different doses of vitamin E. Furthermore, histopathological features and the insulin receptor (INSR) gene were scrutinized. An in silico study showed that drospirenone and vitamin E have an excellent affinity to bind to INSR and have higher binding energy (- 8.5 kcal/mol and - 8.7 kcal/mol, respectively). In vivo results showed a significant reduction in elevated testosterone levels compared to that of the PCOS group; follicle-stimulating hormone (FSH) and insulin levels also showed significant changes and reversed anti-oxidant levels in a dose-dependent manner. Ovarian histopathological changes were observed in different follicle counts in addition to the INSR gene, which showed changes in densitometry values. Supplementation of vitamin E combined with COC could be effective against PCOS, and clinical studies must be carried out further.

Relationship Between Genetic Polymorphisms in Cell Cycle Regulatory Gene TP53 and Polycystic Ovarian Syndrome: A Case-Control Study and In Silico Analyses

Polycystic ovarian syndrome (PCOS) is a complex endocrine and metabolic condition with several potential causes. Insulin resistance is a hallmark of PCOS that often coexists with hirsutism, hyperandrogenism, being overweight, and hormonal imbalances. The functioning of multiple replication and transcription factors is regulated by tumor suppressor genes (TSGs), which play a crucial role in maintaining genomic integrity and controlling the cell cycle of granulosa cells. In the present study, we examined how three single nucleotide polymorphisms (SNPs) in TP53, a cell cycle regulatory gene, affect the risk of developing PCOS in a sample of an Iranian population. Genomic DNA was extracted from 200 PCOS patients and 200 healthy women to analyze TP53 rs17880604, rs1625895, and rs1042522 SNPs using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Our findings revealed that the majority of PCOS cases were overweight [25 < body mass index (BMI) < 30]. A positive association was observed between the TP53 rs1042522 SNP and the risk of PCOS under codominant heterozygous and overdominant genetic patterns (odds ratio > 1). Meanwhile, a negative association was observed between TP53 SNPs (rs1625895, rs17880604) and susceptibility to PCOS under codominant heterozygous and dominant models of inheritance (odds ratio < 1). Moreover, different genotype and haplotype combinations of rs17880604/rs1625895/rs1042522 conferred a decreased risk of PCOS in our population. We found no statistical difference in the frequency of TP53 genotypes between PCOS cases and/or controls in terms of BMI, waist circumference, prolactin level, and markers of lipid and carbohydrate profile (P > 0.05). Molecular dynamic prediction showed that the missense substitution in the 17p13.1 position (rs1042522) could change the properties and secondary structure of the p53 protein. As inherited risk factors, TP53 variations may play a  pivotal role in the pathogenesis of PCOS among Iranian women. Replicated population-based studies on other ethnicities are required to find the genetic contribution of variants of TP53, or SNPs located in other TSGs, to the etiology of this endocrine disease.

Role of CPXM1 in Impaired Glucose Metabolism and Ovarian Dysfunction in Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS), a common female endocrinopathy associated with both reproductive and metabolic disorders, has an unclear etiology and unsatisfactory management methods. Carboxypeptidase X, M14 family member 1 (CPXM1) is a protein involved in follicular atresia, insulin production, and adipose tissue production, though its role in PCOS is not fully understood. We used a 60% high-fat diet (HFD) plus dehydroepiandrosterone (DHEA)-induced PCOS mouse model to determine the role of CPXM1 in abnormal glucose metabolism and ovarian dysfunction in PCOS. We found that serum CPXM1 concentrations were higher in PCOS mice and positively correlated with increased levels of serum testosterone and insulin. In both ovarian and adipose tissues of PCOS mice, CPXM1 mRNA and protein levels were significantly increased but GLUT4 levels were significantly decreased. Immunohistochemistry (IHC) staining of the ovary showed increased CPXM1 expression in PCOS. In addition, the protein expression of phosphorylated protein kinase B (p-Akt) was also significantly decreased in PCOS mice. Furthermore, mRNA levels of inflammatory markers such as TNF-α, IL-6, IFN-α, and IFN-γ were increased in ovarian and adipose tissues of PCOS mice. However, IRS-1, IRS-2, and INSR levels were significantly decreased. Our results indicated for the first time that abnormally high expression of CPXM1, increased adiposity, impaired glucose tolerance, and chronic low-grade inflammation may act together in a vicious cycle in the pathophysiology of PCOS. Our research suggests the possibility of CPXM1 as a potential therapeutic target for the treatment of PCOS.

Insulin resistance in polycystic ovary syndrome across various tissues: an updated review of pathogenesis, evaluation, and treatment

Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by chronic ovulation dysfunction and overabundance of androgens; it affects 6-20% of women of reproductive age. PCOS involves various pathophysiological factors, and affected women usually have significant insulin resistance (IR), which is a major cause of PCOS. IR and compensatory hyperinsulinaemia have differing pathogeneses in various tissues, and IR varies among different PCOS phenotypes. Genetic and epigenetic changes, hyperandrogenaemia, and obesity aggravate IR. Insulin sensitization drugs are a new treatment modality for PCOS. We searched PubMed, Google Scholar, Elsevier, and UpToDate databases in this review, and focused on the pathogenesis of IR in women with PCOS and the pathophysiology of IR in various tissues. In addition, the review provides a comprehensive overview of the current progress in the efficacy of insulin sensitization therapy in the management of PCOS, providing the latest evidence for the clinical treatment of women with PCOS and IR.

Pathophysiologic Mechanisms of Insulin Secretion and Signaling-Related Genes in Etiology of Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a common endocrinopathy in women. PCOS is characterized by anovulation, hyperandrogenism, polycystic ovaries, insulin resistance, and obesity. Despite the finding that the genetic origin of PCOS is well demonstrated in previous twin and familial clustering studies, genes and factors that can exactly explain the PCOS pathophysiology are not known. Objective(s). In this review, we attempted to identify genes related to secretion and signaling of insulin aspects of PCOS and their physiological functions in order to explain the pathways that are regulated by these genes which can be a prominent function in PCOS predisposition. Materials and Methods. For this purpose, published articles and reviews dealing with genetic evaluation of PCOS in women from peer-reviewed journals in PubMed and Google Scholar databases were included in this review. Results. The genomic investigations in women of different populations identified many candidate genes and loci that are associated with PCOS. The most important of them are INSR, IRS1-2, MTNR1A, MTNR1B, THADA, PPAR-γ2, ADIPOQ, and CAPN10. These are mainly associated with metabolic aspects of PCOS. Conclusions. In this review, we proposed that each of these genes may interrupt specific physiological pathways by affecting them and contribute to PCOS initiation. It is clear that the role of genes involved in insulin secretion and signaling is more critical than other pathways.

Mutational Landscape Screening Through Comprehensive In Silico Analysis for Polycystic Ovarian Syndrome-Related Genes

Polycystic ovary syndrome (PCOS) is a multifactorial endocrinopathy of indistinguishable etiopathogenesis that is liable to entail genetic and environmental machinery synergistically interacting with its phenotypic expression. It has been hypothesized that the environment secondarily interacts with genes to define the quantifiable phenotype in a primary, genetically determined, hyper-androgenic ovarian defect. The severity and prevalence of the disease are escalating due to uncontrolled diet and lifestyle, the influence of multiple environmental factors as well as genetic disorders. Many candidate genes have been identified to be one of the causes of PCOS. Different studies have been carried out to find the genetic correlation of PCOS. The mutational landscape analysis scans the entire genes for SNPs which usually occurs more frequently in patients and not in healthy individuals. In this study, an extensive computational analysis of all reported nsSNPs of the 27 selected PCOS-related genes was performed to infer the most pathogenic forms associated with PCOS. As a result, 28 genetic variants from 11 genes were predicted to be most harmful. Results of the present study can be useful for building an integrative genotype-phenotype database for further studies.

Replication study and meta-analysis of selected genetic variants and polycystic ovary syndrome susceptibility in Asian population

PURPOSE

Polycystic ovary syndrome (PCOS) is a highly complex disorder influenced by genetic and environmental factors. Previous association studies have identified multiple PCOS-susceptible loci, but there is no consistent conclusion, which calls for further investigations.

METHODS

In the present case-control study, FSHR gene variants (rs2268361, rs6165, and rs6166), LHCGR gene variant (rs13405728), THADA gene variant (rs13429458), DENND1A gene variants (rs10818854 and rs2479106), and INSR gene variants (rs2059807 and rs1799817) were genotyped with Sanger sequencing in a total of 400 PCOS women and 480 healthy women.

RESULTS

After Bonferroni correction, our results showed that rs13405728, rs13429458, rs2479106, rs10818854, and rs2059807 were significantly associated with PCOS risk in Chinese women. To improve the statistical strength, a further meta-analysis in Asian population was conducted. Although rs6166 and rs1799817 were not associated with PCOS risk in the present study, they were identified to be strongly associated with PCOS risk in the pooled Koreans and Chinese respectively. No significant association with PCOS risk was consistently found for rs2268361 or rs6165. Moreover, the pooled results further confirmed the significant association with PCOS risk for rs13405728, rs13429458, rs2479106, rs10818854, and rs2059807.

CONCLUSIONS

Collectively, the rs6166, rs13405728, rs13429458, rs2479106, rs10818854, rs2059807, and rs1799817 may indeed be the genetic risk factors for PCOS in Asian population, which requires further investigation using larger independent sets of samples in different ethnic populations.

Polycystic Ovary Syndrome: the Epigenetics Behind the Disease

Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders, affecting approximately 5-20% of women of reproductive age. PCOS is a multifactorial, complex, and heterogeneous disease, characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovaries, which may lead to impaired fertility. Besides the reproductive outcomes, multiple comorbidities, such as metabolic disturbances, insulin resistance, obesity, diabetes, and cardiovascular disease, are associated with PCOS. In addition to the clear genetic basis, epigenetic alterations may also play a central role in PCOS outcomes, as environmental and hormonal alterations directly affect clinical manifestations and PCOS development. Here, we highlighted the epigenetic modifications in the multiplicity of clinical manifestations, as well as environmental epigenetic disruptors, as intrauterine hormonal and metabolic alterations affecting embryo development and the adulthood lifestyle, which may contribute to PCOS development. Additionally, we also discussed the new approaches for future studies and potential epigenetic biomarkers for the treatment of associated comorbidities and improvement in quality of life of women with PCOS.

RS1799817 in INSR associates with susceptibility to polycystic ovary syndrome

Background

Insulin and its receptor (INSR) have been implicated in the etiology of the polycystic ovarian syndrome (PCOS). Here, we investigate the association between INSR rs1799817 polymorphism and PCOS in Saudi Arabian women.

Methods

Study group included 126 PCOS women and 118 normo-ovulatory matched controls. The demographic data was recorded, and the plasma levels of glucose, lipids, leptin, E2, LH, FSH, T, SHBG, and insulin were determined. The genotypic and allele frequencies of rs1799817 were evaluated in both PCOS and control group. Polymerase chain reaction (PCR) was used to amplify Exon 17 of the INSR gene, and the amplified products were analyzed by direct sequencing. A single-nucleotide polymorphism (C to T) was found at locus 10923 (His1058) of rs1799817.

Results

In the PCOS group, the mutant allele T occurs at a significantly higher frequency (0.306) compared to the control group (0.174) (p<0.001). It shows a dominant effect and elevates the relative risk of PCOS even in the heterozygotes (RR=2.82). After stratification of the participants by body mass index, the frequency of T allele was significantly higher in the lean patients with PCOS compared to the lean control. The obese PCOS also had a higher frequency than the obese control, but the difference was not statistically significant. Several parameter values were affected by the INSR genotype, particularly W/H ratio, lipid, insulin and glucose levels and insulin resistance in PCOS patients.

Conclusions

The INSR gene polymorphism rs1799817 is a susceptibility locus associated with PCOS in Saudis and associated metabolic and hormonal changes, particularly, in the lean PCOS females.

No evidence for a major effect of three common polymorphisms of the GPx1, MnSOD, and CAT genes on PCOS susceptibility

AIM

Polycystic ovary syndrome (PCOS) is one of the prevalent endocrine-metabolic disorders. It is proposed that oxidative stress contributes to PCOS susceptibility and its metabolic associations. The current study aimed to investigate the influence of GPx1 (rs1050450), MnSOD (rs4880), and Catalase (rs1001179) variants with PCOS susceptibility, for the first time.

METHODS

In a case-control study, 350 Kurdish female volunteers (175 PCOS patients and 175 healthy controls) from Western Iran were studied. Genotyping for GPx1 and MnSOD were done using PCR-RFLP and for CAT the allele-specific PCR method was used.

RESULTS

The percentage of patients suffering from hirsutism, acne, and acanthosis among patients with PCOS were 44.6%, 30.3%, and 14.9%, respectively. Distribution of alleles among patients suffering from PCOS versus healthy women was 'Pro' (69.1% vs 68.8%) and 'Leu' (31.4% vs 31.2%) for Gpx1, 'Ala' (61.43% vs 56.57%) and 'Val' (38.57% vs 43.43%) for MnSOD, and 'C' (83.43% vs 84.57%) and 'T' (16.57% vs 15.43%) for CAT.

CONCLUSION

GPx1 (rs1050450), MnSOD (rs4880), and CAT (rs1001179) variants might not be a risk factor for PCOS.

Attenuated expression of MTR in both prenatally androgenized mice and women with the hyperandrogenic phenotype of PCOS

Polycystic ovary syndrome (PCOS) is a common endocrine, metabolic and heterogeneous disorder in women of reproductive age, the exact etiology of which remains unknown. To unravel the molecular mechanisms underlying the hyperandrogenic phenotype of PCOS, prenatally androgenized (PNA) mice were used to mimic this phenotype in women with PCOS. Using microarray analysis, 1188 differentially expressed genes, including 671 upregulated and 517 downregulated genes, were identified in ovaries from PNA mice. Five differentially expressed genes (Aldh1a7, Bhmt, Mtr, Nrcam, Ptprg) were validated, and decreased MTR expression was shown in ovaries of PNA mice. In addition, results from qRT-PCR showed decreased MTR expression in granulosa cells (GCs) from women with the hyperandrogenic phenotype of PCOS. Serum levels of S-adenosyl methionine (SAM), the downstream product of MTR, were also decreased in PNA mice and women with the hyperandrogenic phenotype of PCOS. Our study provides evidence that the hyperandrogenic phenotype of PCOS is linked to abnormal folate one-carbon metabolism.

Which origin for polycystic ovaries syndrome: Genetic, environmental or both?

Polycystic ovaries syndrome (PCOS), the most common female endocrine disorder, affects 7-10% of women of childbearing age. It includes ovarian hyperandrogenism, impaired follicular maturation, anovulation and subfertility. Insulin resistance, although present in most cases, is not necessary for diagnosis. It increases hyperandrogenism and long-term metabolic, cardiovascular and oncological risks. The origin of hyperandrogenism and hyperinsulinemia has a genetic component, as demonstrated by familial aggregation studies and recent identification of associated genomic variants, conferring a particular susceptibility to the syndrome. However, experimental and epidemiological evidences also support a developmental origin via a deleterious foetal environment, concerning the endocrine status (foetal hyperandrogenism), the nutritional level (intrauterine growth retardation), or the toxicological exposure (endocrine disruptors). Epigenetic changes recently reported in the literature as associated with PCOS, enhance this hypothesis of foetal reprogramming of the future adult ovarian function by environmental factors. Better characterisation of these genetic, epigenetic, or environmental factors, could lead to earlier prevention and more efficient treatments.

INSR gene polymorphisms correlate with sensitivity to platinum-based chemotherapy and prognosis in patients with epithelial ovarian cancer

This study aimed to investigate the correlation between INSR gene polymorphisms on platinum-based chemotherapy sensitivity and prognosis in epithelial ovarian cancer (EOC). A total of 339 EOC patients receiving postoperative chemotherapy were recruited for the study. Tag single-nucleotide polymorphism of INSR gene was screened from HapMap combined with available literature. Frequency distribution of genotypes and alleles in INSR gene was sequenced by ABI3100-Avant. Compared with CC+GC genotype, INSR rs2252673 GG genotype and rs3745546 CC genotype showed less platinum-based chemotherapy sensitivity in EOC patients (odds ratio (OR)=0.269, 95% confidence interval (CI)=0.159~0.456; OR=0.445, 95% CI=0.214~0.926, respectively), as well as serous EOC patients (OR=0.083, 95% CI=0.024~0.278; OR=0.235, 95%CI=0.053~1.041, respectively). The clinical characteristics including age, clinical stage, histological grade and residual lesion size were significantly related with chemosensitivity to platinum drugs and mortality in EOC patients. According to Kaplan-Meier curve, compared with CC+GC genotype, rs2252673 GG genotype showed significantly decreased survival rate in EOC patients (P<0.05). Cox regression model indicated that rs2252673, age and clinical stage were independent risk factors for the prognosis in EOC (all P<0.05). These findings indicate that INSR rs2252673 and rs3745546 polymorphisms were associated with sensitivity to platinum-based chemotherapy in EOC patients and rs2252673 polymorphism may be an independent risk factor for EOC prognosis.

Genetic determinants of polycystic ovary syndrome: progress and future directions

The field of the genetics of polycystic ovary syndrome (PCOS) has relatively recently moved into the era of genome-wide association studies. This has led to the discovery of 16 robust loci for PCOS. Some loci contain genes with clear roles in reproductive (LHCGR, FSHR, and FSHB) and metabolic (INSR and HMGA2) dysfunction in the syndrome. The next challenge facing the field is the identification of causal variants and genes and the role they play in PCOS pathophysiology. The potential for gene discovery to improve diagnosis and treatment of PCOS is promising, though there is much to be done in the field before the current findings can be translated to the clinic.

Functional genomics of PCOS: from GWAS to molecular mechanisms

Polycystic ovary syndrome (PCOS) is a common endocrinopathy characterized by increased ovarian androgen biosynthesis, anovulation, and infertility. PCOS has a strong heritable component based on familial clustering and twin studies. Genome-wide association studies (GWAS) identified several PCOS candidate loci including LHCGR, FSHR, ZNF217, YAP1, INSR, RAB5B, and C9orf3. We review the functional roles of strong PCOS candidate loci focusing on FSHR, LHCGR, INSR, and DENND1A. We propose that these candidates comprise a hierarchical signaling network by which DENND1A, LHCGR, INSR, RAB5B, adapter proteins, and associated downstream signaling cascades converge to regulate theca cell androgen biosynthesis. Future elucidation of the functional gene networks predicted by the PCOS GWAS will result in new diagnostic and therapeutic approaches for women with PCOS.

The association between polymorphism of INSR and polycystic ovary syndrome: a meta-analysis

Polycystic ovary syndrome (PCOS) is the most common gynecological endocrine disorder. The genetic background is believed to play a crucial role in the pathogenesis of PCOS. In recent years, the role of insulin receptor (INSR) polymorphisms in PCOS predisposition has attracted much attention. We performed a meta-analysis to investigate the association between the single nucleotide polymorphisms (SNPs) of INSR and PCOS. Published literature from Pubmed, Embase, and Cochrane CENTRAL was retrieved up until 7 August 2014. A total of 20 case-control studies including 23,845 controls and 17,460 PCOS cases with an average Newcastle-Ottawa quality assessment scale (NOS) score of 6.75 were analyzed. Ninety-eight SNPs distributed in 23 exons and the flanking regions of INSR were investigated, among which 17 SNPs were found to be associated with PCOS. Three SNPs detected in more than three studies were selected for further analyses. Twelve studies including 1158 controls and 1264 PCOS cases entered the analysis of rs1799817, but no significant association was found for every genotype (p > 0.05). Further subgroup stratification by ethnicity and weight did not lead to discovery of significant correlation (p > 0.05). For rs2059806, four studies including 442 controls and 524 PCOS cases were qualified for meta-analysis, and no significant association with PCOS was found for any genotype (p > 0.05). Four studies including 12,830 controls and 11,683 PCOS cases investigated the correlation between rs2059807 and PCOS, and five of the six cohorts indicated a significant impact. Our current meta-analysis suggests no significant correlation between rs1799817/rs2059806 SNPs and susceptibility of PCOS, while rs2059807 could be a promising candidate SNP that might be involved in the susceptibility of PCOS.

Family-based analysis of INSR polymorphisms in Chinese PCOS

The insulin receptor (INSR), which is an indispensable component of the insulin-signalling pathway, could be a plausible candidate gene for polycystic ovary syndrome (PCOS). This study was designed to determine whether an association exists between three SNP variants (rs3786681, rs17253937 and rs2252673) of the INSR gene and PCOS in Han Chinese. A total of 224 family trios (672 participants in total) were enrolled in this family-based transmission disequilibrium test. Genotypes were obtained by sequencing. A weak association was detected in rs2252673 (P = 0.027), which indicated that INSR may confer an increased susceptibility to PCOS in Chinese. Additionally, the association between INSR gene variants and clinical and metabolic characteristics of women with PCOS was investigated. Carriers of the CG and GG genotypes in women with PCOS were slightly associated with higher cholesterol concentration (t = 2.072, P = 0.048) and lower high-density lipoprotein cholesterol concentration (t = 2.274, P = 0.026). The minor allele conferred increased odds of PCOS independently of body mass index. The present data may provide a basis for further studies of the role of the INSR in the aetiology of PCOS.

Association between vaspin rs2236242 gene polymorphism and polycystic ovary syndrome risk

Vaspin, an adipocytokine that has been isolated from the visceral adipose tissue, is a member of the serine protease inhibitor family. In humans, serum vaspin levels are correlated with body mass index (BMI) and obese women with polycystic ovary syndrome (PCOS). The present study is the first investigation to examine the association between vaspin rs2236242 gene polymorphism and risk of PCOS in Iranian patients. This case-control study was performed on 150 patients with PCOS and 150 healthy women. The vaspin genotypes were determined using tetra-amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR). Our finding showed that there are significant differences in genotype frequencies between case and control group regarding vaspin rs2236242 polymorphism (OR=0.59, CI=0.37-0.95, p=0.03). The A allele decreased the risk of PCOS (OR=0.67, CI=0.46-0.96, p=0.03) as compared to the T allele. There was no significant association between vaspin rs2236242 gene polymorphism and PCOS after adjusting genotypes for BMI. In conclusion, our data suggest a significant association between vaspin rs2236242 polymorphism and the PCOS but this relationship is affected by obesity status.

Genetics of the polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a highly complex endocrine disorder, characterized by hyperandrogenemia, menstrual irregularities and polycystic ovaries. A strong genetic component to the etiology of PCOS is evident. However, due to the genetic and phenotypic heterogeneity of PCOS and the lack of insufficiently large cohorts, studies to identify specific contributing genes to date have yielded only few conclusive results. In this review we discuss the current status of the genetic analysis of PCOS including the results of numerous association studies with candidate genes involved in TGF-β and insulin signaling, type 2 diabetes mellitus and obesity susceptibility. Furthermore, we address current challenges in genetic studies of PCOS, and the promise of new approaches, including genome-wide association studies and next-generation sequencing.

Genetic variants associated with insulin signaling and glucose homeostasis in the pathogenesis of insulin resistance in polycystic ovary syndrome: a systematic review

BACKGROUND

Polycystic ovary syndrome must be recognized as a serious issue due to its implication on long term health regardless of an individual's age. PCOS and insulin resistance are interlinked, as approximately 40 % of women with PCOS are insulin resistant. However, the detailed molecular basis for insulin resistance that is coupled with PCOS remains poorly understood.

OBJECTIVE

To review the published evidence that polymorphisms in genes that are involved in insulin secretion and action are associated with an increased risk of PCOS.

METHODS

We reviewed articles published through November 2012 which concerned polymorphisms of genes related to insulin signaling and glucose homeostasis as well as their associations with PCOS. The articles were identified via Medline searches.

CONCLUSIONS

No consistent evidence emerged of a strong association between the risk of PCOS and any known gene that is related to insulin signaling and glucose homeostasis. Moreover, recent genome-wide association studies are inconsistent in identifying the associations between PCOS and insulin metabolism genes. Many of the studies reviewed were limited by heterogeneity in the PCOS diagnosis and by not have having a sufficient number of study participants. Further studies are warranted to determine predisposing risk factors which could modify environmental factors and thus reduce the risk of PCOS. Large genome-wide association studies devoted solely to PCOS will be necessary to identify new candidate genes and proteins that are involved in PCOS risk.

Association between INS-VNTR polymorphism and polycystic ovary syndrome in a Korean population

Polycystic ovary syndrome (PCOS) is a common disorder in women of reproductive ages. But its etiology is not fully understood yet. Variability in the number of tandem repeats of the insulin gene (INS-VNTR) is known to associate with PCOS, and it is associated with an increased risk of diabetes mellitus and other cardiovascular diseases. The aim of our study was to analyze an association between the INS-VNTR polymorphism and PCOS in a Korean population. The -23/Hph I polymorphism was used as a surrogate marker for INS-VNTR polymorphism and a total of 218 PCOS patient and 141 control DNAs were analyzed by restriction fragment length polymorphism method. Statistical analysis of genotyping results were performed using HapAnalyzer. χ² test and logistic regression were used to analyze the association between two groups. A p value <0.05 was considered statistically significant. The frequencies of A/A and A/T genotypes indicated a similar change between PCOS patients and controls. In conclusion, there was no association between PCOS and INS-VNTR polymorphism (p = 0.0544, odds ratio = 1.69). Our present data demonstrate that INS-VNTR polymorphism is not related with PCOS in Korean women. Thus, it is suggested that INS-VNTR polymorphism is not a key factor in the etiology and the pathogenesis of PCOS in a Korean population.

Understanding polycystic ovarian syndrome pathogenesis: an updated of its genetic aspects

Polycystic ovary syndrome (PCOS) is the most frequent cause of female infertility. It is also characterized by metabolic defects that raise the risk for cardiovascular disease. Despite the progress in the definition of the clinical aspects of the syndrome, only very few definite data are available about the ethiopathogenetic mechanisms that subtend PCOS. It is likely that the PCOS phenotype derives from the interaction between environmental and genetic factors. While environmental factors have easily been investigated, the individuation of the genetic factors seem to be more complex. Indeed, PCOS appears to be inherited as a complex, polygenic trait. Several family studies have been conducted with the aim to clarify the genetic aspects of PCOS, but their findings are often conflicting and not conclusive.Moreover, it is difficult to establish with certainty which genes are involved and their effective role in the development of the syndrome because in PCOS, genetic analysis is hampered by low fecundity, lack of a male phenotype, absence of an animal model, and dissimilarity of the diagnostic criteria used to select the patients. Since multiple biochemical pathways are implicated in PCOS pathogenesis, genes of steroid hormone metabolism, gonadotropin release and action, insulin secretion and action, adipose tissue metabolism and others have been investigated. Nevertheless, none of them seems to play a key role in the ethiopathogenesis of PCOS. This article reviews the large body of literature generated to support the presence of genetic abnormalities in PCOS women by taking in consideration the most important studies regarding PCOS candidate genes.

Replication of association of a novel insulin receptor gene polymorphism with polycystic ovary syndrome

OBJECTIVE

To evaluate association with polycystic ovary syndrome (PCOS) of 295 variants in 39 genes central to metabolic insulin signaling and glycogen synthase kinase 3β (GSK-3β) regulation, followed by replication efforts.

DESIGN

Case-control association study, with discovery and replication cohorts.

SETTING

Subjects were recruited from reproductive endocrinology clinics, and controls were recruited from communities surrounding the University of Alabama at Birmingham and Erasmus Medical Center, Rotterdam.

PATIENT(S)

A total of 273 cases with PCOS and 173 control subjects in the discovery cohort; and 526 cases and 3,585 control subjects in the replication cohort. All subjects were caucasian.

INTERVENTION(S)

Phenotypic and genotypic assessment.

MAIN OUTCOME MEASURE(S)

Detection of 295 single-nucleotide polymorphisms (SNPs), PCOS status.

RESULT(S)

Several SNPs were associated with PCOS in the discovery cohort. Four insulin receptor (INSR) SNPs and three insulin receptor substrate 2 (IRS2) SNPs associated with PCOS were genotyped in the replication cohort. One INSR SNP (rs2252673) replicated association with PCOS. The minor allele conferred increased odds of PCOS in both cohorts, independent of body mass index.

CONCLUSION(S)

A pathway-based tagging SNP approach allowed us to identify novel INSR SNPs associated with PCOS, one of which confirmed association in a large replication cohort.

Polymorphisms of the insulin receptor and the insulin receptor substrates genes in polycystic ovary syndrome: a Mendelian randomization meta-analysis

Polycystic ovary syndrome (PCOS) is a heterogeneous condition with unknown aetiology which is considered to be the most common endocrine disorder in women of reproductive age. In this work we investigated the association of insulin receptor (IotaNSR) and insulin receptor substrates (IRSs) polymorphisms with the risk of developing PCOS. The meta-analysis of eleven studies (889 cases, 1303 controls) yielded a significant association for IRS-1 Gly972Arg (G972R) polymorphism concerning the GR vs. GG genotype (OR: 1.77, 95% CI: 1.28, 2.45), with no between-studies heterogeneity. Concerning IotaNSR His1058 C/T, the meta-analysis of eight studies (795 cases, 576 controls) found no significant evidence for association with PCOS (OR for the TT+CT vs. CC comparison equal to 1.28 with 95% CI: 0.88, 1.85) and a moderate between studies variability (I(2)=44.6%). No evidence for publication bias was found in these meta-analyses. Following a multivariate Mendelian randomization approach, the overall OR was unaffected but the overall mean difference of fasting insulin levels between carriers of GR and RR genotypes in controls was significant (2.18, 95% CI: 0.36, 4.01). These results suggest that IRS-1 Gly972Arg polymorphism is significantly associated with the risk of developing PCOS and that this association is primarily mediated by increasing the levels of fasting insulin. The particular polymorphism is located in a region nearby two phosphorylation sites that interact physically with INSR and PI 3-kinase and there is enough evidence from the literature suggesting that the Arg972 variant is associated with decreased PI 3-kinase activity and impaired insulin-stimulated signaling.

Interleukin 1 beta (IL-1β) promoter C [-511] T polymorphism but not C [+3953] T polymorphism is associated with polycystic ovary syndrome

PCOS is a complex multifactorial disorder involving a number of genetic and environmental factors. One of the genetic factors that has been associated with PCOS is Interleukin 1 beta (IL-1β), is an important inflammatory cytokine that plays a regulatory role in both the body's immune and the inflammatory responses. All these responses appear to be are also affected in at least some women with PCOS. To investigate the possible association of polymorphisms of the IL-1β gene with the occurrence and clinical characteristics of PCOS, we evaluated two common polymorphisms of the IL-1β gene (promoter C [-511] T and exon 5 position [+3953]) in 200 Chinese women with PCOS and 177 healthy Chinese controls. We found the frequency of IL-1β C/C [-511] genotype in PCOS was significantly higher than that in the controls (χ(2) = 15.48, df = 1, P < 0.001 OR = 2.73 95% CI: 1.64-4.56 by genotype; χ(2) = 10.21, df = 1, P = 0.001 by allele). However in contrast, no association between genotype and relative allele frequencies was observed for the C [+3953] T polymorphism for Chinese women with PCOS when compared to that for a similar group of Chinese women without PCOS (P = 0.35).

Pro12Ala and His447His polymorphisms of PPAR-gamma are associated with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that affects 4-12% of women of reproductive age, and is specified when two of the three following criteria are present: hyperandrogenism, oligomenorrhoea and polycystic ovary morphology by ultrasonography. PCOS is characterized by infertility, obesity and hyperinsulinaemia. However, the aetiology of PCOS has not yet been fully identified due to complex metabolic mechanisms. Many researchers have demonstrated that polymorphisms of putative genes related to symptoms are associated with PCOS. In the reproductive system, energy metabolism and hormonal regulation are important to differentiate granulosa cells in the ovary. Peroxisome proliferator-activated receptor gamma (PPAR-gamma) is a transcription factor, and is known to be associated with insulin sensitivity. Furthermore, it is highly expressed in granulosa cells. It was recently reported that various polymorphisms of PPAR-gamma are associated with PCOS in different ethnic backgrounds. This study has shown that both Pro12Ala and His447His polymorphisms of PPAR-gamma are associated with PCOS in a Korean population.

Association between a single nucleotide polymorphism in MTHFR gene and polycystic ovary syndrome

OBJECTIVE

The aim of the present study was to investigate whether there is an association between the C677T polymorphism in MTHFR and PCOS in a Korean population.

STUDY DESIGN

The prevalence of MTHFR gene was compared between women with PCOS (n=227) and normal patients (n=115) using restriction fragment length polymorphism (RFLP) analysis. The HapAnalyzer was used to analyze the genotype of MTHFR polymorphism in PCOS and control subjects. We considered a p-value less than 0.05 as statistically significant.

RESULTS

The frequency of C/C, C/T, and T/T genotype showed similar proportion between PCOS and control subjects. In addition, the frequencies of co-dominant (p-value=0.8334, odds ratio (OR)=1.04), dominant (p-value=0.8749, OR=0.96) and recessive alleles (p-value=0.5574, OR=1.22) did not show any association between PCOS and control subjects.

CONCLUSION

Our data demonstrate that the C677T polymorphism of MTHFR gene is not associated with PCOS in a Korean population, suggesting that the C677T polymorphism in MTHFR may have different influences in various ethnic groups and diseases.

Genetic polymorphisms of FSHR, CYP17, CYP1A1, CAPN10, INSR, SERPINE1 genes in adolescent girls with polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS), whose genetic basis is not completely well understood, is the most common endocrine disorder in women and it typically develops during adolescence. The aim of this study is to investigate the possible association between single nucleotide polymorphisms (SNPs) of FSHR, CYP17, CYP1A1, CAPN10, INSR, SERPINE1 genes and PCOS in adolescent girls.

METHODS

DNA samples from forty-four adolescent girls with PCOS and 50 healthy controls were analyzed by PCR-RFLP and direct DNA sequencing to determine the genotypic frequency of 17 different polymorphic loci on the FSHR (A307T, N680S), CYP17 (-34 T/C), CYP1A1 (T6235C), CAPN10 (44, 43, 19, 63), INSR (exon 17 C/T), SERPINE1 (4G/5G) genes. Genotyping of exon 12 (six polymorphisms) and intron 12 (one polymorphism) of INSR gene by direct DNA sequencing was performed for the first time in this study.

RESULTS

No significant differences were observed in the genotype and allele distributions of above mentioned polymorphisms between cases and control groups.

CONCLUSION

Our data does not support an association between SNPs of FSHR, CYP17, CYP1A1, CAPN10, INSR, SERPINE1 genes and susceptibility to PCOS or related traits in Turkish adolescent girls.

Lack of association between interleukin-1a gene (IL-1a) C (-889) T variant and polycystic ovary syndrome in Chinese women

Polycystic ovary syndrome (PCOS) is associated with the spontaneous development of an aberrant heterogeneous hormonal environment that thought to be related to multiple genetic or environmental factors remain undefined. Previous studies indicated that IL-1a gene C (-889) T, a polymorphism of the gene encoding a protein which involved in various immune responses, inflammatory processes and hematopoiesis, and is associated with PCOS. A total of 205 PCOS patients and 177 healthy controls were included in this study that used PCR-RFLP to detect C (-889) T variant of IL-1a gene. Clinical measures determined previously were included in the SPSS analysis. The results showed that the presence of IL-1a gene C (-889) T polymorphism in PCOS and healthy controls in Chinese women was not significantly different when studying genotype and allele frequencies. (Genotype: chi(2) = 4.62, df = 2, P = 0.10; allele: chi(2) = 1.35, df = 1, P = 0.25). Furthermore, no association was found between metabolic parameters observed and IL-1a genotypes in PCOS patients in this study. In conclusion, IL-1a gene C (-889) T polymorphism does not appear to be risk factor for PCOS in this population of Chinese women.

Functional genetic polymorphisms and female reproductive disorders: Part I: Polycystic ovary syndrome and ovarian response

BACKGROUND

The identification of polymorphisms associated with a disease can help to elucidate its pathogenesis, and this knowledge can be used to improve prognosis for women with a particular disorder, such as polycystic ovary syndrome (PCOS). Since an altered response to ovarian stimulation is also a characteristic of the disease, further knowledge about its aetiology could help in defining the parameters that determine the response of an individual to ovarian stimulation.

METHODS

PubMed and EMBASE databases were systematically searched for gene association studies published until the end of August 2007, using search criteria relevant to PCOS and ovarian response to stimulation. Data from additional papers identified through hand searches were also included; 139 publications were reviewed.

RESULTS

Several genes involved in ovarian function and metabolism are associated with increased susceptibility to PCOS, but none is strong enough to correlate alone with susceptibility to the disease, or response to therapy. A single-nucleotide polymorphism in exon 10 of the FSH receptor (FSHR) gene, FSHR p.N680S, was consistently identified as having a significant association with ovarian response to FSH.

CONCLUSIONS

No consistent association between gene polymorphism and PCOS could be identified. The FSHR gene may play a significant role in the success of ovarian stimulation, and can be used as a marker to predict differences in FSHR function and ovarian response to FSH. Genotyping the FSHR p.N680S polymorphism may provide a means of identifying a population of poor responders before in vitro fertilization procedures are initiated.