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Abnormal Glucose Tolerance and Insulin Resistance in Polycystic Ovary Syndrome

Abnormal Glucose Tolerance and Insulin Resistance in Polycystic Ovary Syndrome

BMC Medical Genetics 2006 published by BioMed Central
An Open Access Research article
Published 7 April 2006

Abstract

Background
Insulin resistance and glucose dysmetabolism in polycystic ovary syndrome (PCOS) are related with the polymorphisms in the genes encoding the insulin receptor substrate (IRS) proteins, especially Gly972Arg/Ala513Pro polymorphism being reported to be associated with type-2 diabetes and PCOS. We intended to assess the prevalence of abnormal glucose tolerance (AGT) and insulin resistance in Taiwanese PCOS women. We also tried to assess whether the particular identity of Gly972Arg/Ala513Pro polymorphic alleles of the IRS-1 gene mutation can be used as an appropriate diagnostic indicator for PCOS.

Methods
We designed a prospective clinical study. Forty-seven Taiwanese Hoklo and Hakka women, diagnosed with PCOS were enrolled in this study as were forty-five healthy Hoklo and Hakka women as the control group. Insulin resistance was evaluated with fasting insulin, fasting glucose/insulin ratio, and homeostasis model assessment index for insulin resistance (HOMAIR). The genomic DNA of the subjects was amplified by PCR and digested by restriction fragmented length polymorphism (RFLP) with Bst N1 used for codon 972 and Dra III for codon 513.

Results
AGT was found in 46.8% of these PCOS patients and was significantly related to high insulin resistance rather than the low insulin resistance. Those patients with either insulin resistance or AGT comprised the majority of PCOS affected patients (AGT + fasting insulin ≥17: 83%, AGT + glucose/insulin ratio ≥6.5: 85.1%, AGT + HOMAIR ≥ 2: 87.2%, and AGT + HOMAIR ≥ 3.8: 72.3%). None of the tested samples revealed any polymorphism due to the absence of any Dra III recognition site or any Bst N1 recognition site in the amplified PCR fragment digested by restriction fragmented length polymorphism.

Conclusion
There is significantly high prevalence of AGT and insulin resistance in PCOS women, but Gly972Arg and Ala513Pro polymorphic alleles of IRS-1 are rare and are not associated with the elevated risk of PCOS amongst Taiwanese subjects. This is quite different from the similar study in phylogenetically diverged Caucasian subjects.

 

Background
Polycystic ovary syndrome (PCOS) is one of the most-common endocrine disorders for premenopausal women with a prevalence rate of 4–12% internationally [1]. PCOS is characterized by irregular menses, chronic anovulation, infertility, hyperandrogenism, and insulin resistance [2]. In 1991, Poretsky and Nestler found insulin to be an effector of ovarian and adrenal steroid metabolism, and postulated the paradox of insulin-induced hyperandrogenism within insulin-resistant states [3]. In addition to being involved as a predisposing factor for type-2 diabetes, insulin resistance plays a key role in the pathogenesis of PCOS [4]

Insulin receptor substrate (IRS) proteins are critical to signal transduction in insulin target tissues [5]. The binding of insulin to its receptor induces the phosphorylation of the cytosolic substrates IRS-1 and IRS-2 [6]. Nevertheless, the biokinetic response of IRS-1 and IRS-2 to tyrosine protein kinases depends upon the binding specificity and affinity of the tyrosine phosphorylation sites within the IRS, which can be altered by mutated aminoacid polymorphisms within the phosphotyrosine-binding (PTB) domain [7]. Among these identified tyrosine phosphorylation sites. [6,7], mutations of Gly972Arg, Pro170Arg and Met209Thr have revealed different level of reduction in Phosphatidylinostiol 3-kinase (PI 3-kinase) activity [8]. The impaired insulin-signaling pathway for PI 3-kinase activity plays a role in the development of insulin resistance [7-9]. Therefore, the Ser892Gly and Thr608Arg polymorphisms for non-insulin dependent diabetes mellitus (NIDDM) patients were reported, such a mutation revealing a consequent decrease in insulin-induced phosphorylation and PI 3-kinase activity [10,11]

Beside influencing an individual's susceptibility to NIDDM, these polymorphisms have been shown to be associated with phenotypic features of PCOS [12,13]. We chose the Gly972Arg and Ala513Pro variants of the IRS-1 gene for investigation, because these specific allelic variants are located near the Tyr-Met-X-Met (YMXM) motifs around Tyr987 and Tyr612 and because these variants have been reported to influence insulin resistance, hyperinsulinemia and fatty-acid composition of muscles with a non-sporadic prevalence [7,10,14]. Our purpose was to identify, within the Taiwanese population of PCOS, the prevalence of the IRS-1 gene mutation with impaired tyrosine kinase activity, in order toassess whether the identity of the IRS-1 gene mutation of codon 513 (GCC->CCC) and codon 972 (GGG->AGG) can act as an appropriate diagnostic indicator for Taiwanese PCOS characterized by hyperinsulinemia and hyperandrogenism

There were apparently racial differences in the phenotypic expression of insulin resistance as well as the genetic mutations in different races with PCOS [15,16]. Because of the racial differences in the phenotypic and genotypic expression of PCOS-affected subjects, we purposely focused our study on the genotypic polymorphism in so-called" Taiwanese"habitants in Taiwan [17]. The population of Taiwan area were composed of Taiwnanese Hoklo (or Minnan), Taiwanese Hakka (or Haka), immigrant Chinese mainlanders, and aborigines [17,18]. In traditional term, so-called" Taiwanese" are Taiwanese Hoklo and Hakka. We focus our study on the Taiwanese Hoklo and Hakka subjects, because that the genotypes of the immigrated Chinese mainlanders were greatly diversed and the aborigines as Malayo-Polynesians were even more different from Han Chinese people [17,18]

Methods

Subjects
The presence of PCOS was defined according to criteria arising from a National Institutes of Health (NIH) in 1990 and its later modification. A diagnosis of PCOS was made according to the criteria defined by: (i) hyperandrogenism, (ii) oligo-ovulation, and (iii) the exclusion of related disorders (see below). Another diagnosis of PCOS was also made, when the hyperandrogenism can not be definitely proved, with the criteria defined by: (i) oligo-ovulation (ii) increased LH/FSH (luteinizing hormone/follicle stimulating hormone) ratio >2 (iii) specific criteria for PCOS in an ultrasound scan (see below) [19]. These criteria are also adapted and included in newly proposed criteria by 2003 ASRM/ESHRE Rotterdam definition

In the criteria of hyperandrogenism, biochemical hyperandrogenism was defined as a serum total testosterone level > 0.8 ng/ml or testosterone > 0.7 ng/ml with sex hormone binding globulin (SHBG) < 30 nmol/L [16]. The ultrasound definition of polycystic ovary was defined as follows: "increased ovarian area (>5.5 cm2/ovary) or volume (>11 m3/ovary) and/or presence of ≥12 follicles measuring 2–9 mm in diameter (mean of both ovaries)"[20,21]. The following diseases were excluded from our study: hyperthyroidism, hypothyroidism, congenital adrenal hyperplasia (abnormal 17-hydroxyprogesterone level), pituitary insufficiency, pituitary tumor, and pre-diagnosed known diabetes mellitus. Additional to NIH 1990 criteria of PCOS, Rotterdam 2003 definition of PCOS expended two additional phenotypes, some of them were excluded because that these criteria increase the phenotypic heterogeneity of the disorder and their use will likely decrease the ability of genetic and other molecular studies [19]

From November 2002 to July 2005 inclusively, forty-seven subjects, of which thirty-seven were Taiwanese Hoklo people (78.7%), ten subjects were Taiwanese Hakka (21.3%), and no aboriginal or mainlanders, were recruited for this study from the infertility/endocrine/obesity clinics of the Kuo General Hospital, according to the above criteria. Another fifty patients were enrolled from the normal population without clinical PCOS to constitute the primary control group. In the further biochemical and sonographic evaluation, five subjects were excluded due to abnormal biochemical androgen level, LH/FSH ratio ≥ 2, or abnornal ovarian sonographic finding. The residual forty-five patients, thirty-eight Taiwanese Hoklo individuals (84.4%) and seven Taiwanese Hakka (15.6%), constituted the final control group. This study has been approved by the Kuo General Hospital Ethics Committee.

Laboratory tests
Fasting insulin, fasting glucose, testosterone, SHBG, FSH, LH, and prolactin levels were all determined. Plasma levels of FSH, LH, prolactin, and SHBG were determined using immunofluorometric assays, and the testosterone and insulin levels were determined using radioimmunoassay study.

The abnormal glucose tolerance (AGT) was defined as either impaired glucose tolerance or diabetes mellitus in the 75 gram oral glucose tolerance test (OGTT) by American Diabetes Association criteria. The level of insulin resistance was evaluated with respect to fasting insulin level, the glucose:insulin ratio [glucose (mg/dl)/insulin (uU/ml)], and the HOMAIRindex (homeostasis model assessment index for insulin resistance) [fasting insulin (uU/ml) × fasting glucose (mg/dl)/405].

Extraction of genomic DNA
Genomic DNA was extracted from peripheral blood mononuclear cells by using a QIAamp DNA Blood Mini Kit (QIAGEN GmbH, Hilden, Germany). The purity, size and concentration of the isolated DNA was measured by A260/A280 and agarose gel electrophoresis. PCR was used to amplify two regions of the franking codon 972 and codon 513 of IRS-1.

PCR and Restriction fragmented length polymorphism (RFLP)
According to the DNA sequences proposed in 1995 by Hitman et al. [22], the sequences of the primers for PCR are listed as: (1) The primers for Codon 513: Forward primer, 1953 5'GCG GTG AGG AGG AGC TAA GC 3' 1972, and Reverse primer 2200 3' GGG CAG GGT CAG GAG TCA CCG 5' 2220; (2) The primers for Codon 972: Forward primer, 3339 5' CTT CTG TCA GGT GTC CAT CC 3' 3358, and Reverse primer 3582 3' CGA TGC ACC TGT GGA GCG GT 5' 3601

PCR was performed using 50 ul primers with 0.3 ug of genomic DNA. The assay conditions were: 10 mmol/L Tris-HCl (pH = 9.0), 50 mmol/L KCl, 1.5 mmol/L MgCl2, 0.1% Triton X-100, and 0.2 mmol/L of the four deoxynucleoside triphosphates (Promega, Madison, Wisconsin, USA). The selected samples were subjected to 35 cycles of amplification: denaturation at 94°C for one minute, annealing at 60°C for one minute, and extension at 72°C for two minutes. The resulting products were 268 bp and 263 bp for codon 513 and 972, respectively.

The PCR products were digested with restriction enzyme(s) followed by agarose gel electrophoresis: 1) For the PCR products of codon 972 digested with Bst N1, the resulting wild-type samples contained three bands sized 23, 81 and 159 bp and the mutant samples contained four bands sized 23, 81, 108 and 51 bp. We noted five bands sized 23, 81, 159, 108 and 51 bp for Gly972/Arg972 heterozygotes and four bands sized 23, 81, 108 and 51 bp for Arg972 homozygotes. 2) For the PCR products of codon 513 digested with Dra III, the resulting wild-type samples contained one band sized 268 bp, and the mutant samples contained two bands sized 168 bp and 100 bp; three bands sized 268 bp, 168 bp and 100 bp were noted for Ala513/Pro513 heterozygotes and two bands sized 168 bp and 100 bp for Pro513 homozygotes.

Statistical analysis
Data were analysed by using the Statistical Program Social Sciences (SPSS 10.0.7C for Windows). Results were presented as mean values ± standard deviation (SD). Comparisons between PCOS patients and normal control group were performed using Student's t-test. It was also used to compare the variables in abnormal and normal glucose tolerance patients. A value of P < 0.05 was considered statistically significant.

Results

Characteristics of the 47 patients with PCOS
Forty-seven women were finally included in the diagnosis of PCOS. Their average age was 26.3 ± 5.4 years ranging from 17 to 36 years old. They also had higher body weight and body mass index (BMI) (average weight: 72.4 ± 14.5 kg; range, average BMI: 28.5 ± 6.0) than the normal population (average age 24.6 ± 3.9 years, average weight: 56.4 ± 9.8 kg, average BMI: 21.7 ± 3.2). The clinical feature distributions of our patients are shown in Table 1. Thirty-one (65.9%) of the 47 women were obese (BMI ± 25) and fifteen (31.9%) had acanthosis nigrans.

In biochemical assays, 45 (95.7%) of the 47 women with PCOS were found to have a testosterone level ± 0.8 ng/ml, and 2 (4.3%) < 0.8 ng/ml, with an average testosterone level of 1.3 ± 0.5 ng/ml. An insulin level (average 24.4 ± 17.2 uU/ml) ± 17 was found in 32 (68.1%) of the 47 patients. The average fasting blood sugar (91.3 ± 18.1 mg/dl) was normal. A ratio (average: 5.27 ± 3.34) of glucose to insulin ± 6.5 was found in 35 (74.5%) of the 47 patients. Decreased sex hormone binding globulin (SHBG) was also noted with an average of 21.1 ± 8.3 nmol/L. The averages of LH/FSH ratio (2.1 ± 1.0) and prolactin level (18.6 ± 8.0 ng/ml) were significantly increased (Table 1).

Co-expression of abnormal glucose tolerance and insulin resistance
With normal fasting glucose levels, these PCOS patients had decreased SHBG levels than the control (21.1 ± 8.3 vs. 48.1 ± 7.8 nmol/L, p < 0.05), the insulin levels higher (24.4 ± 17.2 vs. 7.9 ± 6.7 uU/ml, p < 0.05) and the homeostasis model assessment index for insulin resistance (HOMAIR) higher (5.21 ± 3.73 vs. 1.59 ± 0.65 units, p < 0.05) (Table 1).

Twenty-two (46.8%) of these PCOS patients had abnormal results in the oral glucose tolerance test (OGTT) by American Diabetes Association criteria. None had pre-diagnosed diabetes mellitus. In these twenty-two (46.8%) AGT patients, five met the criteria of diabetes mellitus in our OGTT and seventeen (36.2%) met the criteria of glucose intolerance (IGT). Fasting insulin level, glucose/insulin ratio, and HOMAIR are all significantly related to the presence of abnormal OGTT test (p < 0.05). A high insulin group with insulin level ≥17 uU/ml constituted 68.1% (32/47) of the PCOS patients. Co-existence of abnormal OGTT and high insulin was found in 68.2% (15/22) of AGT group and 46.9% (15/32) of high insulin group. A low glucose/insulin ratio group with glucose/insulin ratio ≥6.5 constituted 74.5% (35/47) of the PCOS affected patients. In this low glucose/insulin ratio group, co-existence of abnormal OGTT and low glucose/insulin ratio was found in 77.3% (17/22) of AGT group and 48.6% (17/35) of low glucose/insulin group.

Regarding HOMAIR as the criteria of insulin resistance, a moderate-high HOMAIR group with HOMAIR ≥2 constituted 76.6 % (36/47) of the PCOS affected patients. Co-existence of abnormal OGTT and moderate-high HOMAIR was found in 77.3% (17/22) of AGT group and 47.2% (17/36) of this moderate-high HOMAIR group. In the higher standard for diagnosis of insulin resistance, high HOMAIR group with HOMAIR ≥3.8 constituted 53.2 % (25/47) of the PCOS affected patients. Co-existence of abnormal OGTT and high HOMAIR was found in 59.1% (13/22) of AGT group and 52% (13/25) of this high HOMAIR group. Regarding these markers for insulin resistance, those patients with either insulin resistance or AGT comprise the majority of PCOSaffected patients (AGT + fasting insulin ≥17: 83%, AGT + glucose/insulin ratio ≥6.5: 85.1%, AGT + HOMAIR ≥2: 87.2%, and AGT + HOMAIR ≥3.8: 72.3%).

Neither Ala513Pro nor Gly972Arg polymorphism found
In the PCR-RFLP analysis of the Ala513Pro polymorphism, all the tested samples from both PCOS and control groups revealed no polymorphisms because no Dra III recognition site was apparent for the amplified PCR fragment as represented in Figure 1A, all samples revealing a band of 268 bp.

In the PCR-RFLP analysis of the Gly972Arg polymorphism, none of the tested samples revealed any polymorphism as indicated in Figure 1B, all samples revealing a band of 159 bp rather than one of 108 bp plus one of 51 bp.

Discussion
The incidence of the presence of a Gly972Arg variant has been reported to be greater for premature pubarche teenagers and hyperandrogenic adolescent girls featuring PCOS than for control women (respectively, 27.5%: 17% : 6.6%) [23]. Further, evidence has also supported the reporting of a gene-dosage effect by a Gly972Arg IRS-1 variant upon fasting insulin and HOMA values amongst PCOS-afflicted women [12]. The Gly972Arg IRS-1 variant has been reported tobe more prevalent amongst insulin-resistant PCOS patients compared with non-insulin-resistant PCOS patients or control subjects (respectively, 39.3 vs. 4.0 and 16.6%, p < 0.0031) [12]. Further, Ala513Pro variants have been previously detected for 3%–6.9% of NIDDM patients [24,25] and were found to be more prevalent for NIDDM patients who featured a high fasting insulin level than was the case for Gly972Arg variants [25]. Meanwhile, a high fasting insulin level is thought to be the initial state of hyperinsulinemia which is found frequently amongst PCOS-affected patients [1,16,26]. In our study, we evaluated the status of insulin resistance with fasting insulin, fasting glucose:insulin (G/I) ratio, and HOMAIR, all of which are parameters widely used to assess insulin resistance previously [1,12,15,27,28]. It was clearly apparent that there was a significantly greater incidence (72.3–87.2%) of either insulin resistance or AGT amongst our PCOS patients than was the case for the normal population, and the prevalence of either insulin resistance or AGT amongst our PCOS patients was certainly not less than that reported cases for PCOS subjects in other studies [12,15,26,29]. Nevertheless, as shown by our data, the higher prevalence of insulin resistance amongst our PCOS patients as compared to the controls is associated with a significantly greater rate of glucose intolerance, which correlates with the later development of NIDDM for PCOS subjects. The incidence (46.8%) of AGT in our study is similar to the incidence (45%) in the report of Ermann et al [29]. It seems higher than clinical expectation because that our subjects, enrolled from infertility/endocrine/obesity clinics, have higher body weigh and lower SHBG which are correlated with incidence of insulin resistance and AGT [16,30]. The population of PCOS is greatly different due to the collection source and criteria of PCOS. The patients enrolled from the infertility clinic seem to have lower body weight and higher SHBG than the patients enrolled from the endocrine/obesity. Meanwhile, another reason is that I do not include those multifollicularovaries (MFO), mimicing PCOS, due to other etiology, e.g. low BMI or adolescence. They may be included in 2003 ASRM/ESHRE Rotterdam definition of PCOS, but they could be excluded in our including criteria or NIH 1990 definition of PCOS

According to the 2001 report of El Mkadem et al., the variants Gly972Arg of IRS-1 and Gly1057Asp of IRS-2 occurred more frequently for the PCOS population than was the case for the normal population [12]. Reportedly, the allelic frequency of the 972Arg variant of IRS-1 was 0.11, and the allelic frequency of the 1057Asp variant of IRS-2 was 0.36 for PCOS individuals, and the Gly972Arg IRS-1 variant for PCOS individuals featuring a high fasting insulin was ten-fold greater than it was for PCOS patients exhibiting a low fasting insulin and 2.3-fold greater than for control women. From the 2002 study of Ehrmann et al., however, no association of the IRS-1 Gly972Arg genotype with any clinical or hormonal measure was reported for nondiabetic PCOS subjects [26]. From our study, independently of whether patients featured NIDDM or not, the results also revealed no evidence of any polymorphism in the regions encoding codon 972 of the IRS-1 for the Taiwanese population, although 36.2% of our PCOS subjects revealed AGT and 72.3–87.2% revealed either insulin resistance or AGT with respect to different criteria of insulin resistance. It would appear that there may be a racial difference in the mutated sites of IRS-1 polymorphisms featuring the similar insulin resistance. Indeed, such a result also enhances the suspicion that the screening value of insulin resistance as a possible marker for PCOS would likely be population-specific. For instance, a G/I ratio of ≤ 7.2 has been suggested for insulin resistance amongst white women suffering PCOS [15], whereas a corresponding figure of ≤ 4.0 has been proffered elsewhere for Mexican American featuring PCOS [15], as also a figure of ≤ 6.5 for Taiwanese women with PCOS [16]

In a study of Japanese women suffering NIDDM, codon 972/513 polymorphisms were observed for 3.6%/0% of study subjects (respectively, codon 972/codon 513), compared to a corresponding control value of 4.5%/0% (respectively, codon 972/codon 513) there being no significant difference between NIDDM patients and controls in this regard [31]. In the present study, our results have not revealed any evidence suggesting polymorphism in the regions encoding codons 972 and 513 of IRS-1 amongst the Taiwanese population. From the study of white Caucasian NIDDM-afflicted women, however, Zhang et al. (1996) reported that the prevalence of the IRS-1 972 mutation was significantly higher for NIDDM-subject groups featuring insulin resistance and dyslipidaemia than was the case for normal subjects (18 and 26% compared with 11% for the control subjects) [32]. We acknowledge that the subjects participating in our study were different to those participating in the study reported by Zhang et al, in that our study subjects included 47 patients featuring PCOS, of which there were 36.2% who revealed AGT, in addition to 45 normal women. Interestingly, we arrived at the same result as regards the absence of any codon 513 polymorphism as was the case for this abovementioned Japanese study, suggesting that this type of polymorphism is quite rare amongst the general Japanese and Taiwanese population. Nevertheless, it does appear that this study's Taiwanese test population reflected a lower incidence of polymorphism for codon 972 than was the case for the Japanese study, the polymorphism frequency figure being 3.6%/4.5% for the Japanese NIDDM/control groups and 0%/0% for our ninety-two subjects [31]. Further, comparison of the incidence of the IRS-1 972 mutation between white Caucasian, Japanese and Taiwanese subjects, revealed that the incidence was greatest amongst Caucasians (diseased/control: 26%/11%) [32], lower for Japanese subjects (3.6%/4.5%) [31], and quite rare for Taiwanese Hoklo and Hakka study subjects (0%/0%). In the phylogenetic tree, it would appear likely that the mainland Japanese revealed the closest affinity with continental Chinese and Korean people, these being principally Han Chinese [33,34]. Nevertheless, Taiwanese Hoklo and Hakka individuals, which comprised the majority of Taiwanese before the immigration of mainlanders, are closely related to southern Han Chinese people who appear to inherit haplotypes from both Han Chinese and Yueh individuals, making them genetically somewhat different from the northern Han Chinese and original Han Chinese people [17]. As for Caucasians, the Caucasoid is, in the genetic tree, more distant from the mainland Japanese, Hoklo, and Hakka [35]. Further evidence of genetic difference between different ethnic populations pertaining to the screening for PCOS or insulin resistance reveals the absence of any codon 972/513 polymorphism amongst Pima Indians of Arizona (USA), this rather well-defined sub-population featuring a high prevalence of NIDDM [36]

Conclusion
Considering the statistical analysis on this scale of PCOS-affected subjects, being high risk of these polymorphisms, we cannot resoundingly declare a universal absence of codon 972/513 polymorphisms for Taiwanese PCOS women according to our study of 92 Taiwanese subjects. For this present study, however, we can conclude that no such polymorphism was found for all study subjects and that these polymorphisms were rare and less than other ethnic population. Since we have depicted the highly prevalence of AGT and insulin resistance in these PCOS affected patients, it suggests that these two IRS-1 polymorphisms are unrelated to the emergence of glucose dysmetabolism and insulin resistance in PCOS for the Taiwanese Hoko and Hakka population. We conclude that because the Taiwanese PCOS population does not include a sufficiently large number of cases of codon 972/513 mutation, these polymorphic alleles of IRS-1 are not a reliable or appropriate method of genetic diagnosis of PCOS featuring either AGT or insulin resistance, and that these polymorphic alleles of IRS-1 are quite rare amongst Taiwanese women.

Abbreviations

AGT: abnormal glucose tolerance
Ala(A): alanine
Arg(R): arginine
Asp(D): aspartic acid
BMI: body mass index
bp: base pair
Bst N1: restriction endonuclease BstN 1 from Bacillus stearothermophilus Ndel: deletion
DNA: deoxyribonucleic acid
Dra III : restriction endonuclease Dra III from Deinococcus radiophilus
FSH: follicle stimulating hormone
G/I ratio: glucose/insulin ratio
Gly(G): glycine
HOMA: homeostasis model assessment index
HOMAIR: homeostasis model assessment index for insulin resistance
IRS: insulin receptor substrate
LH: luteinizing hormone
Met(M): methionine
NIDDM (non-insulin dependent diabetes mellitus)
PCO: polycystic ovary
PCOS: polycystic ovary syndrome
PCR: polymerase chain reaction
PCR-RFLP: polymerase chain reaction and restriction fragmented length
PI 3-kinase: Phosphatidylinostiol 3-kinase
polymorphism
Pro(P): proline
PTB: phosphotyrosine-binding
RFLP: restriction fragmented length polymorphism
Ser(S): serine
SH-2 domain: Src Homology-2 domain
SHBG: sex hormone binding globulinThr(T): threonine
Tyr(Y): tyrosine
YMXM motifs: Tyr-Met-X-Met motifs

Competing interests
The author(s) declare that they have no competing interests.

Authors' contributions
TCL conceived of the study, participated in its design, and drafted the manuscript. JMY performed the clinical coordinator and helped manuscript preparation. KBG performed the statistical analysis. TCK helped to plan the studies. DCK, SFL, and KBG carried out the DNA extraction and PCR-RFLP. MJW supervised and interpreted the studies of PCR-RFLP.

 

References

References
1. Dunaif A, Thomas A: Current concepts in the polycystic ovary syndrome. Annu Rev Med 2001, 52:401-419. [Publisher Full Text]
2. Ehrmann DA, Barnes RB, Rosenfield RL: Polycystic ovary syndrome as a form of functional ovarian hyperandrogenism due to dysregulation of androgen secretion. Endocr Rev 1995, 16:322-353. [PubMed Abstract] [Publisher Full Text]
3. Poretsky L: On the paradox of insulin-induced hyperandrogenism in insulin-resistant states. Endocr Rev 1991, 12:3-13. [PubMed Abstract]
4. Polonsky KS, Sturis J, Bell GI: Seminars in Medicine of the Beth Israel Hospital, Boston. Non-insulin-dependent diabetes mellitus - a genetically programmed failure of the beta cell to compensate for insulin resistance. N Engl J Med 1996, 334:777-783. [PubMed Abstract] [Publisher Full Text]
5. Sesti G, Federici M, Hribal ML, Lauro D, Sbraccia P, Lauro R: Defects of the insulin receptor substrate (IRS) system in human metabolic disorders. Faseb J 2001, 15:2099-2111. [PubMed Abstract] [Publisher Full Text]
6. Ogihara T, Isobe T, Ichimura T, Taoka M, Funaki M, Sakoda H, Onishi Y, Inukai K, Anai M, Fukushima Y, Kikuchi M, Yazaki Y, Oka Y, Asano T: 14-3-3 protein binds to insulin receptor substrate-1, one of the binding sites of which is in the phosphotyrosine binding domain. J Biol Chem 1997, 272:25267-25274. [PubMed Abstract] [Publisher Full Text]
7. Garcia P, Shoelson SE, George ST, Hinds DA, Goldberg AR, Miller WT: Phosphorylation of synthetic peptides containing Tyr-Met-X-Met motifs by nonreceptor tyrosine kinases in vitro. J Biol Chem 1993, 268:25146-25151. [PubMed Abstract] [Publisher Full Text]
8. Yoshimura R, Araki E, Ura S, Todaka M, Tsuruzoe K, Furukawa N, Motoshima H, Yoshizato K, Kaneko K, Matsuda K, Kishikawa H, Shichiri M: Impact of natural IRS-1 mutations on insulin signals: mutations of IRS-1 in the PTB domain and near SH2 protein binding sites result in impaired function at different steps of IRS-1 signaling. Diabetes 1997, 46:929-936. [PubMed Abstract]
9. Armstrong M, Haldane F, Avery PJ, Mitcheson J, Stewart MW, Turnbull DM, Walker M: Relationship between insulin sensitivity and insulin receptor substrate-1 mutations in non-diabetic relatives of NIDDM families. Diabet Med 1996, 13:341-345. [PubMed Abstract] [Publisher Full Text]
10. Esposito DL, Li Y, Vanni C, Mammarella S, Veschi S, Della Loggia F, Mariani-Costantini R, Battista P, Quon MJ, Cama A: A novel T608R missense mutation in insulin receptor substrate-1 identified in a subject with type 2 diabetes impairs metabolic insulin signaling. J Clin Endocrinol Metab 2003, 88:1468-1475. [PubMed Abstract] [Publisher Full Text]
11. Laakso M, Malkki M, Kekalainen P, Kuusisto J, Deeb SS: Insulin receptor substrate-1 variants in non-insulin-dependent diabetes. J Clin Invest 1994, 94:1141-1146. [PubMed Abstract][PubMed Central Full Text]
12. El Mkadem SA, Lautier C, Macari F, Molinari N, Lefebvre P, Renard E, Gris JC, Cros G, Daures JP, Bringer J, White MF, Grigorescu F: Role of allelic variants Gly972Arg of IRS-1 and Gly1057Asp of IRS-2 in moderate-to-severe insulin resistance of women with polycystic ovary syndrome. Diabetes 2001, 50:2164-2168. [PubMed Abstract] [Publisher Full Text]
13. Sir-Petermann T, Perez-Bravo F, Angel B, Maliqueo M, Calvillan M, Palomino A: G972R polymorphism of IRS-1 in women with polycystic ovary syndrome. Diabetologia 2001, 44:1200-1201. [PubMed Abstract] [Publisher Full Text]
14. Borkman M, Storlien LH, Pan DA, Jenkins AB, Chisholm DJ, Campbell LV: The relation between insulin sensitivity and the fatty-acid composition of skeletal-muscle phospholipids. N Engl J Med 1993, 328:238-244. [PubMed Abstract] [Publisher Full Text]
15. Kauffman RP, Baker VM, Dimarino P, Gimpel T, Castracane VD: Polycystic ovarian syndrome and insulin resistance in white and Mexican American women: a comparison of two distinct populations. Am J Obstet Gynecol 2002, 187:1362-1369. [PubMed Abstract] [Publisher Full Text]
16. Lin TC, Weng SP, Lin WS, Kuo TC: The effectiveness of metformin therapy in women with polycystic ovary syndrome. Taiwnaese J Obstet Gynecol 2002, 41:43-53.
17. Lin M, Chu CC, Chang SL, Lee HL, Loo JH, Akaza T, Juji T, Ohashi J, Tokunaga K: The origin of Minnan and Hakka, the so-called "Taiwanese", inferred by HLA study. Tissue Antigens 2001, 57:192-199. [PubMed Abstract] [Publisher Full Text]
18. Shaw CK, Chen LL, Lee A, Lee TD: Distribution of HLA gene and haplotype frequencies in Taiwan: a comparative study among Min-nan, Hakka, Aborigines and Mainland Chinese. Tissue Antigens 1999, 53:51-64. [PubMed Abstract] [Publisher Full Text]
19. Azziz R: The Rotterdam 2003 Criteria for Defining Pcos: Con (or How to Define a Syndrome). J Clin Endocrinol Metab 2006.
20. Jonard S, Robert Y, Cortet-Rudelli C, Pigny P, Decanter C, Dewailly D: Ultrasound examination of polycystic ovaries: is it worth counting the follicles? Hum Reprod 2003, 18:598-603. [PubMed Abstract] [Publisher Full Text]
21. Bazot M, Robert Y, Mestdagh P, Boudghene F, Rocourt N: [Ovarian functional disorders]. J Radiol 2000, 81:1801-1818. [PubMed Abstract] [Publisher Full Text]
22. Hitman GA, Hawrami K, McCarthy MI, Viswanathan M, Snehalatha C, Ramachandran A, Tuomilehto J, Tuomilehto-Wolf E, Nissinen A, Pedersen O: Insulin receptor substrate-1 gene mutations in NIDDM; implications for the study of polygenic disease. Diabetologia 1995, 38:481-486. [PubMed Abstract]
23. Witchel SF, Smith R, Tomboc M, Aston CE: Candidate gene analysis in premature pubarche and adolescent hyperandrogenism. Fertil Steril 2001, 75:724-730. [PubMed Abstract] [Publisher Full Text]
24. Clausen JO, Hansen T, Bjorbaek C, Echwald SM, Urhammer SA, Rasmussen S, Andersen CB, Hansen L, Almind K, Winther K, et al.: Insulin resistance: interactions between obesity and a common variant of insulin receptor substrate-1. Lancet 1995, 346:397-402. [PubMed Abstract] [Publisher Full Text]
25. Almind K, Bjorbaek C, Vestergaard H, Hansen T, Echwald S, Pedersen O: Aminoacid polymorphisms of insulin receptor substrate-1 in non-insulin-dependent diabetes mellitus. Lancet 1993, 342:828-832. [PubMed Abstract] [Publisher Full Text]
26. Ehrmann DA, Tang X, Yoshiuchi I, Cox NJ, Bell GI: Relationship of insulin receptor substrate-1 and -2 genotypes to phenotypic features of polycystic ovary syndrome. J Clin Endocrinol Metab 2002, 87:4297-4300. [PubMed Abstract] [Publisher Full Text]
27. Wu XK, Zhou SY, Liu JX, Pollanen P, Sallinen K, Makinen M, Erkkola R: Selective ovary resistance to insulin signaling in women with polycystic ovary syndrome. Fertil Steril 2003, 80:954-965. [PubMed Abstract] [Publisher Full Text]
28. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985, 28:412-419. [PubMed Abstract] [Publisher Full Text]
29. Ehrmann DA, Barnes RB, Rosenfield RL, Cavaghan MK, Imperial J: Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome. Diabetes Care 1999, 22:141-146. [PubMed Abstract] [Publisher Full Text]
30. Jayagopal V, Kilpatrick ES, Jennings PE, Hepburn DA, Atkin SL: The biological variation of testosterone and sex hormone-binding globulin (SHBG) in polycystic ovarian syndrome: implications for SHBG as a surrogate marker of insulin resistance. J Clin Endocrinol Metab 2003, 88:1528-1533. [PubMed Abstract] [Publisher Full Text]
31. Shimokawa K, Kadowaki H, Sakura H, Otabe S, Hagura R, Kosaka K, Yazaki Y, Akanuma Y, Kadowaki T: Molecular scanning of the glycogen synthase and insulin receptor substrate-1 genes in Japanese subjects with non-insulin-dependent diabetes mellitus. Biochem Biophys Res Commun 1994, 202:463-469. [PubMed Abstract] [Publisher Full Text]
32. Zhang Y, Wat N, Stratton IM, Warren-Perry MG, Orho M, Groop L, Turner RC: UKPDS 19: heterogeneity in NIDDM: separate contributions of IRS-1 and beta 3-adrenergic-receptor mutations to insulin resistance and obesity respectively with no evidence for glycogen synthase gene mutations. UK Prospective Diabetes Study. Diabetologia 1996, 39:1505-1511. [PubMed Abstract] [Publisher Full Text]
33. Horai S, Murayama K, Hayasaka K, Matsubayashi S, Hattori Y, Fucharoen G, Harihara S, Park KS, Omoto K, Pan IH: mtDNA polymorphism in East Asian Populations, with special reference to the peopling of Japan. Am J Hum Genet 1996, 59:579-590. [PubMed Abstract]
34. Rolf B, Horst B, Eigel A, Sagansermsri T, Brinkmann B, Horst J: Microsatellite profiles reveal an unexpected genetic relationship between Asian populations. Hum Genet 1998, 102:647-652. [PubMed Abstract] [Publisher Full Text]
35. Katsuyama Y, Inoko H, Imanishi T, Mizuki N, Gojobori T, Ota M: Genetic relationships among Japanese, northern Han, Hui, Uygur, Kazakh, Greek, Saudi Arabian, and Italian populations based on allelic frequencies at four VNTR (D1S80, D4S43, COL2A1, D17S5) and one STR (ACTBP2) loci. Hum Hered 1998, 48:126-137. [PubMed Abstract] [Publisher Full Text]
36. Celi FS, Silver K, Walston J, Knowler WC, Bogardus C, Shuldiner AR: Lack of IRS-1 codon 513 and 972 polymorphism in Pima Indians. J Clin Endocrinol Metab 1995, 80:2827-2829. [PubMed Abstract] [Publisher Full Text]

BMC Medical Genetics 2006, 7:36 doi:10.1186/1471-2350-7-36

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