- Research article
- Open Access
Male preponderance in early diagnosed type 2 diabetes is associated with the ARE insertion/deletion polymorphism in the PPP1R3A locus
© Doney et al; licensee BioMed Central Ltd. 2003
- Received: 07 January 2003
- Accepted: 28 June 2003
- Published: 28 June 2003
The ARE insertion/deletion polymorphism of PPP1R3A has been associated with variation in glycaemic parameters and prevalence of diabetes. We have investigated its role in age of diagnosis, body weight and glycaemic control in 1,950 individuals with type 2 diabetes in Tayside, Scotland, and compared the ARE2 allele frequencies with 1,014 local schoolchildren.
Men homozygous for the rarer allele (ARE2) were younger at diagnosis than ARE1 homozygotes (p = 0.008). Conversely, women ARE2 homozygotes were diagnosed later than ARE1 homozygotes (p = 0.036). Thus, men possessing the rarer (ARE2) allele were diagnosed with type 2 diabetes earlier than women (p < 0.000001). In contrast, there was no difference in age of diagnosis by gender in those individuals carrying only the common ARE1 variant. Furthermore, although there was no difference in the frequency between the children and the type 2 diabetic population overall, marked differences in allele frequencies were noted by gender and age-of diagnosis. The ARE2 allele frequency in early diagnosed males (diagnosed earlier than the first quartile of the overall ages at diagnosis) was higher than that found in both later diagnosed males and healthy children (p = 0.021 and p = 0.03 respectively). By contrast, the frequency in early diagnosed females was significantly lower than later diagnosed females and that found in children (p = 0.021 and p = 0.037).
Comparison of the male to female ratios at different ages-diagnosed confirms a known phenomenon that men are much more prone to early type 2 diabetes than women. When this feature was examined by the common ARE 1/1 genotype we found that the male to female ratio remained at unity with all ages of diagnosis, however, carriers of the ARE2 variant displayed a marked preponderance of early male diagnosis (p = 0.003).
The ARE2 allele of PPP1R3A is associated with a male preponderance to early diagnosed type 2 diabetes. Susceptibility to type 2 diabetes in later life is not modulated by the ARE2 allele in either sex.
- ARE2 Variant
- Healthy School Child
- Glycaemic Parameter
- Insulin Resistant Phenotype
- Diabetes Audit
Subgroups of patients with type 2 diabetes mellitus or features of the metabolic syndrome have been shown to have impaired insulin-dependent whole body glucose uptake , the principal component of which is non-oxidative glycogen synthesis in skeletal muscle . Glycogen-synthase (GS) catalyses one of the rate-determining steps in glycogen synthesis in muscle and defective insulin-mediated activation of muscle GS has been found in glucose tolerant, but insulin resistant first-degree relatives of Caucasian type 2 diabetic patients . GS is activated in response to insulin through its net dephosphorylation mediated by inhibition of kinases such as glycogen synthase kinase-3 and activation of glycogen-bound protein phosphatase-1 enzyme in response to insulin . In insulin-resistant Pima Indians decreased activities of both GS and glycogen-associated protein phosphatase-1 in muscle tissue has been demonstrated [5, 6] providing a mechanism by which GS activation by insulin is reduced in these subjects.
The most abundant glycogen-associated protein phosphatase-1 (PP-1) derived from skeletal muscle is a heterodimer composed of a 37 kDa ubiquitous catalytic subunit and a 160 kDa glycogen-targeting and regulatory subunit, GM. PP1GM has been shown to play an important role in the regulation of glycogen synthase activity  and may participate in the insulin stimulation of glycogen synthesis . The gene encoding GM(PPP1R3A) has been located on chromosome 7  in a region in which genome wide scanning in Pima Indians has found markers linked to quantitative traits related to glucose metabolism. Recently a rare premature stop mutation has been detected which produced severe familial insulin resistance when occurring with an unlinked frame shift mutation in a further candidate gene, PPARG. . This digenic inheritance serves as a paradigm for the interaction of variation at diverse locations in the genome contributing to the development of the insulin resistant phenotype. Several common variants of PPP1R3A have also been variably associated with features of insulin resistance and type 2 diabetes in different populations [10, 12–17]. In particular a 5 bp length insertion deletion polymorphism in the 3'-untranslated region (UTR) of the gene gives rise to a difference in distance between two AT rich elements (ARE), which have been implicated in mRNA stability [18, 19] The deletion variant (allele ARE2) has been found to decrease mRNA half life, and PPP1R3A transcript and protein concentrations in vivo  and displays increased binding of a protein responsible for the increased turnover . Thus, the ARE2 variant has implications for the extent of activation of muscle GS by insulin and hence overall insulin sensitivity. This has recently been confirmed by the deletion of the gene for PPP1R3A in mice which results in a markedly insulin resistant phenotype. .
The ARE2 allele frequency has been reported to be higher in young type 2 diabetics than a control population in Japan  and higher in early diagnosed than late diagnosed type 2 diabetic Pima Indians . In another study ARE2 was weakly associated with whole body insulin sensitivity, with the allele being associated with a trend of higher fasting insulin levels and lower insulin mediated glucose uptake . In contrast a study of aboriginal Canadians showed that ARE2 homozygotes had a lower 2 hour post challenge plasma glucose in type 2 diabetics and individuals with impaired glucose tolerance . Thus the role of the PPP1R3A ARE polymorphism in the susceptibility to type 2 diabetes is not clear.
As previous studies have demonstrated an association of the ARE2 variant of PPP1R3A with early diagnosed type 2 diabetes and other glycaemic parameters, we have examined its role in such parameters in a genetic sub-study of the Diabetes Audit and Research in Tayside Scotland (DARTS) . In addition we have used a population of local children (aged 5–8) to determine the local gene frequency of the ARE variants at birth, and have examined the divergence from this baseline frequency within the type 2 diabetic population.
Characteristics of the Tayside Diabetic population by PPP1R3A genotype and sex. Parameters are given as corrected means ± Standard deviation, the corrected means are based on multiple measures through time and are adjusted for age diagnosed, age at which parameter was measured and drug treatment at time of measurement.
Age Diagnosed (years)
56.5 ± 0.6
55.5 ± 0.5
†53.2 ± 1.1
BMI (Kg/m 2 )
29.9 ± 0.2
29.7 ± 0.2
29.9 ± 0.5
7.6 ± 0.05
7.5 ± 0.05
7.5 ± 0.1
Age Diagnosed (years)
56.7 ± 0.6
58.4 ± 0.6
†59.5 ± 1.2
BMI (Kg/m 2 )
31.6 ± 0.3
31.2 ± 0.3
30.3 ± 0.6
7.8 ± 0.05
7.7 ± 0.05
7.5 ± 0.1
As we found an association of reduced BMI with genotype in females, and increased BMI is known to be the major risk for type 2 diabetes, we included BMI in our regression model for age of diagnosis. This completely removed any significance in the association (Table 1). Interestingly, inclusion of BMI in the regression model in men did not negate the association with earlier age of diagnosis.
Genotype and ARE2 allele frequency (with 95% confidence intervals) in men and women diagnosed with early and late diagnosis of type 2 diabetes.
We have demonstrated that the ARE polymorphism of PPP1R3A is associated with age of diagnosis in the Tayside type 2 diabetic population and that this association is both gender and gene dosage dependent. We know from the United Kingdom Prospective Diabetes Study population that there is a preponderance of males at younger ages of diagnosis and that the proportion of men to women decreased at higher ages of diagnosis . We have reproduced this observation in the DARTS population, however this appears to be confined to ARE2 carriers with no such trend being observed in the ARE1 homozygotes. We have also found a weak association of ARE genotype with BMI and glycated haemoglobin which again appears gender dependent with the association being found exclusively in females. Inclusion of BMI in the model for age of diagnosis attenuated its association with genotype in the females which suggests that the ARE2 variant is associated with a protection from obesity-induced diabetes in women. The lack of an attenuation in males indicates that the ARE2 allele may predispose men to type 2 diabetes, in a manner independent of obesity.
The overall frequency of the ARE2 variant obtained in the adult population of individuals with type 2 diabetes is almost identical to the frequency found in the children from the same geographical region and these are similar to other published frequencies in Japanese , Caucasian  and aboriginal Canadian  populations. In the study from the Pima Indians however the frequency was found to be considerably higher . In the Japanese population the mean age of diagnosis was similar to the youngest quartile in our population. Examination of the allele frequencies in the men and women diabetics in this population compared with the control population reveals that the risk of diabetes attributable to the variant was predominantly in the males (0.347 vs. 0.288, p = 0.03) and was less evident in the females (0.326 vs. 0.288, p = 0.19) . This young-diagnosed population also had a male preponderance similar to that observed in our study. The Pima Indian study which examined the relative risk of diagnosis with type 2 diabetes diagnosis before and after the age of 45 also found a significant predominance of the ARE2 variant in the younger age group . In contrast to our study, and that of the Japanese group, this population had a strong female preponderance. Indeed, it is clear that female Pima Indians are not afforded the protection from early type 2 diabetes that is observed in Caucasian populations, and this is likely to be due to the extremely high prevalence of morbid obesity in these women.
Concordant relationships between this and previous studies regarding ARE variants and type 2 diabetes
It is not possible from the present study to determine the physiological basis of the differences in males and females observed by PPP1R3A genotype although it is probable that the differing hormonal environments in pre-menopausal females is a contributing factor. The mean age of menopause in Caucasian women is 50.5 years and the frequency of the ARE2 allele in women was found to rise steadily to about this age after which it plateaus [data not shown] to a similar level to that found in the children. It is known that women generally have improved glucose tolerance and increased skeletal muscle sensitivity compared to men [24–26] Recently it has been demonstrated in both rats and humans that lipid infusions lead to insulin resistance in males but not in females. [27, 28] It could be speculated that this variant of the PPP1R3A gene plays a role in determining response to the high dietary fat intake in the east of Scotland differentially between males and females although the mechanism for this is obscure at present.
The ARE polymorphism has been associated with susceptibility to type 2 diabetes in several case-control studies. We have shown for the first time using a population-based cohort of unselected individuals with type 2 diabetes that the ARE2 allele is associated with gender selective modulation of the age of diagnosis of type 2 diabetes. This work supports the initial findings that the ARE2 variant modulates susceptibility to type 2 diabetes and indicates an avenue of further investigation for determining physiological basis of gender specific differences in peripheral insulin resistance and onset of type 2 diabetes.
Tayside Type 2 Diabetic Population
In Tayside, Scotland detailed clinical information on all individuals with diabetes mellitus is recorded on an electronic clinical information system known as DARTS (Diabetes Audit and Research in Tayside Scotland) which has been described elsewhere . In brief, electronic record linkage techniques have identified all people with diabetes in the population of Tayside with a sensitivity of 97%. All clinical data are recorded according to a standard dataset and all case records are validated by a team of dedicated research nurses who create a "cradle to the grave" electronic record. Thus age of diagnosis is rigorously retrospectively determined to coincide with age of onset. All such patients are randomly invited to participate in a genotyping initiative. Following written informed consent, a single sample of blood is collected for DNA extraction and genotyping and the individual assigned a unique system code number for anonymisation purposes. Full compliance with NHS data protection and encryption standards is maintained. Genotype information is stored together with the anonymised clinical information on an SQL database. The population in this study therefore consisted of a free-living clinical population selected only on the basis of having type 2 diabetes and attending a diabetes clinic in Tayside. All subjects were of Caucasian ethnicity. All recorded measures of BMI and percentage glycated haemoglobin together with age at diagnosis for each individual was extracted from the DARTS database.
Tayside Children Population
Healthy school children recruited for a gene/nutrition interaction study in the Tayside region of Scotland were used as a control population in this study. They were >95% Caucasian and selected at random from local primary schools. Following informed parental consent mouthwash samples were collected for DNA analysis.
PPP1R3A ARE polymorphism was analysed using TaqMan-based allelic discrimination assays on a Applied Biosystems 7700 Sequence Detection System. The oligonucleotides used for this assay were:
Primer 1; CAGATAAAACATGGACAATGGCAG.
Primer 2; GGTTGAAATATTTGATCAATGAATCCTG.
ARE1 PROBE (FAM/TAMRA Labelled):
ARE2 PROBE (TET/TAMRA Labelled)
Assays were performed using reagents and conditions as supplied by the manufacturer (Applied Biosystems, Foster City, CA)
Allele frequencies were compared using Pearsons's Chi Square. Linear regression was used to assess the affect of genotype on Age of Diagnosis. Repeated measures of Body Mass Index and Glycated haemoglobin were used in a repeated measures model which included age diagnosed, age at which parameter was measured and a term for whether the parameter was measured while the individual was on or off drug therapy for type 2 diabetes including insulin. These parameters were normalised by Log10 transformation. All statistical analyses were performed using algorithms available in turbocharged STATA v7. For consideration of gene frequencies by age diagnosed the population was analysed by quartiles and early diagnosis was classified as being within the first quartile of age diagnosed. Chi squared test for trend was used to examine the gender ratios by quintile and logistic regression analysis was used to compare relative frequencies of the females to males over the quintiles by genotype. All ranges stated in the text are 95% confidence intervals.
This work was funded by a grant from a local trust administered by Tenovus (Tayside) (CP and AM), the Biotechnology and Biological Sciences Research Council grant award number D13460 (CP and JC), and funds from the Medical Research Council, UK (PTWC). We would like to thank the chief investigators of the Tayside Energy Balance Study for the allele frequencies in the children, namely, Caroline Bolton Smith, Marion Hetherington, Peter Watt, and Wendy Wreiden. We would also like to thank Shona Hynes for help in collecting the blood from the diabetic population and Inez Murrie and Debbie Wallis for collecting mouth-wash samples from the children.
- Shulman GI, Rothman DL, Jue T, Stein P, DeFronzo RA, Shulman RG: Quantitation of muscle glycogen synthesis in normal subjects and subjects with non-insulin-dependent diabetes by 13C nuclear magnetic resonance spectroscopy. N Engl J Med. 1990, 322: 223-228.View ArticlePubMedGoogle Scholar
- Reaven GM: Pathophysiology of insulin resistance in human disease. Physiol Rev. 1995, 75: 473-486.PubMedGoogle Scholar
- Vaag A, Henriksen JE, Beck-Nielsen H: Decreased insulin activation of glycogen synthase in skeletal muscles in young nonobese Caucasian first-degree relatives of patients with non-insulin-dependent diabetes mellitus. J Clin Invest. 1992, 89: 782-788.PubMed CentralView ArticlePubMedGoogle Scholar
- Cohen PT: Protein phosphatase 1--targeted in many directions. J Cell Sci. 2002, 115: 241-256.PubMedGoogle Scholar
- Freymond D, Bogardus C, Okubo M, Stone K, Mott D: Impaired insulin-stimulated muscle glycogen synthase activation in vivo in man is related to low fasting glycogen synthase phosphatase activity. J Clin Invest. 1988, 82: 1503-1509.PubMed CentralView ArticlePubMedGoogle Scholar
- Kida Y, Esposito-Del Puente A, Bogardus C, Mott DM: Insulin resistance is associated with reduced fasting and insulin-stimulated glycogen synthase phosphatase activity in human skeletal muscle. J Clin Invest. 1990, 85: 476-481.PubMed CentralView ArticlePubMedGoogle Scholar
- Chen YH, Hansen L, Chen MX, Bjorbaek C, Vestergaard H, Hansen T, Cohen PT, Pedersen O: Sequence of the human glycogen-associated regulatory subunit of type 1 protein phosphatase and analysis of its coding region and mRNA level in muscle from patients with NIDDM. Diabetes. 1994, 43: 1234-1241.View ArticlePubMedGoogle Scholar
- Cohen P: The structure and regulation of protein phosphatases. Annu Rev Biochem. 1989, 58: 453-508. 10.1146/annurev.bi.58.070189.002321.View ArticlePubMedGoogle Scholar
- Ragolia L, Begum N: The effect of modulating the glycogen-associated regulatory subunit of protein phosphatase-1 on insulin action in rat skeletal muscle cells. Endocrinology. 1997, 138: 2398-2404. 10.1210/en.138.6.2398.PubMedGoogle Scholar
- Xia J, Scherer SW, Cohen PT, Majer M, Xi T, Norman RA, Knowler WC, Bogardus C, Prochazka M: A common variant in PPP1R3 associated with insulin resistance and type 2 diabetes. Diabetes. 1998, 47: 1519-1524.View ArticlePubMedGoogle Scholar
- Savage DB, Agostini M, Barroso I, Gurnell M, Luan J, Meirhaeghe A, Harding AH, Ihrke G, Rajanayagam O, Soos MA, George S, Berger D, Thomas EL, Bell JD, Meeran K, Ross RJ, Vidal-Puig A, Wareham NJ, O'Rahilly S, Chatterjee VK, Schafer AJ: Digenic inheritance of severe insulin resistance in a human pedigree. Nat Genet. 2002, 31: 379-384.PubMedGoogle Scholar
- Maegawa H, Shi K, Hidaka H, Iwai N, Nishio Y, Egawa K, Kojima H, Haneda M, Yasuda H, Nakamura Y, Kinoshita M, Kikkawa R, Kashiwagi A: The 3'-untranslated region polymorphism of the gene for skeletal muscle-specific glycogen-targeting subunit of protein phosphatase 1 in the type 2 diabetic Japanese population. Diabetes. 1999, 48: 1469-1472.View ArticlePubMedGoogle Scholar
- Rasmussen SK, Hansen L, Frevert EU, Cohen PT, Kahn BB, Pedersen O: Adenovirus-mediated expression of a naturally occurring Asp905Tyr variant of the glycogen-associated regulatory subunit of protein phosphatase-1 in L6 myotubes. Diabetologia. 2000, 43: 718-722. 10.1007/s001250051369.View ArticlePubMedGoogle Scholar
- Hegele RA, Harris SB, Zinman B, Wang J, Cao H, Hanley AJ, Tsui LC, Scherer SW: Variation in the AU(AT)-rich element within the 3'-untranslated region of PPP1R3 is associated with variation in plasma glucose in aboriginal Canadians. J Clin Endocrinol Metab. 1998, 83: 3980-3983. 10.1210/jc.83.11.3980.PubMedGoogle Scholar
- Hansen L, Reneland R, Berglund L, Rasmussen SK, Hansen T, Lithell H, Pedersen O: Polymorphism in the glycogen-associated regulatory subunit of type 1 protein phosphatase (PPP1R3) gene and insulin sensitivity. Diabetes. 2000, 49: 298-301.View ArticlePubMedGoogle Scholar
- Hansen L, Hansen T, Vestergaard H, Bjorbaek C, Echwald SM, Clausen JO, Chen YH, Chen MX, Cohen PT, Pedersen O: A widespread amino acid polymorphism at codon 905 of the glycogen-associated regulatory subunit of protein phosphatase-1 is associated with insulin resistance and hypersecretion of insulin. Hum Mol Genet. 1995, 4: 1313-1320.View ArticlePubMedGoogle Scholar
- Shen GQ, Ikegami H, Kawaguchi Y, Fujisawa T, Hamada Y, Ueda H, Shintani M, Nojima K, Kawabata Y, Yamada K, Babaya N, Ogihara T: Asp905Tyr polymorphism of the gene for the skeletal muscle-specific glycogen-targeting subunit of protein phosphatase 1 in NIDDM. Diabetes Care. 1998, 21: 1086-1089.View ArticlePubMedGoogle Scholar
- Ross J: mRNA stability in mammalian cells. Microbiol Rev. 1995, 59: 423-450.PubMed CentralPubMedGoogle Scholar
- Shaw G, Kamen R: A conserved AU sequence from the 3' untranslated region of GM-CSF mRNA mediates selective mRNA degradation. Cell. 1986, 46: 659-667.View ArticlePubMedGoogle Scholar
- Xia J, Bogardus C, Prochazka M: A type 2 diabetes-associated polymorphic ARE motif affecting expression of PPP1R3 is involved in RNA-protein interactions. Mol Genet Metab. 1999, 68: 48-55. 10.1006/mgme.1999.2884.View ArticlePubMedGoogle Scholar
- Delibegovic M, Armstrong CG, Dobbie L, Watt PW, Smith AJ, Cohen PT: Disruption of the Striated Muscle Glycogen Targeting Subunit PPP1R3A of Protein Phosphatase 1 Leads to Increased Weight Gain, Fat Deposition, and Development of Insulin Resistance. Diabetes. 2003, 52: 596-604.View ArticlePubMedGoogle Scholar
- Morris AD, Boyle DI, MacAlpine R, Emslie-Smith A, Jung RT, Newton RW, MacDonald TM: The diabetes audit and research in Tayside Scotland (DARTS) study: electronic record linkage to create a diabetes register. DARTS/MEMO Collaboration. Bmj. 1997, 315: 524-528.PubMed CentralView ArticlePubMedGoogle Scholar
- UK Prospective Diabetes Study. IV. Characteristics of newly presenting type 2 diabetic patients: male preponderance and obesity at different ages. Multi-center Study. Diabet Med. 1988, 5: 154-159.Google Scholar
- Krotkiewski M, Bjorntorp P, Sjostrom L, Smith U: Impact of obesity on metabolism in men and women. Importance of regional adipose tissue distribution. J Clin Invest. 1983, 72: 1150-1162.PubMed CentralView ArticlePubMedGoogle Scholar
- Yki-Jarvinen H: Sex and insulin sensitivity. Metabolism. 1984, 33: 1011-1015.View ArticlePubMedGoogle Scholar
- Fernandez-Real JM, Casamitjana R, Ricart-Engel W: Leptin is involved in gender-related differences in insulin sensitivity. Clin Endocrinol (Oxf). 1998, 49: 505-511. 10.1046/j.1365-2265.1998.00566.x.View ArticleGoogle Scholar
- Frias JP, Macaraeg GB, Ofrecio J, Yu JG, Olefsky JM, Kruszynska YT: Decreased susceptibility to fatty acid-induced peripheral tissue insulin resistance in women. Diabetes. 2001, 50: 1344-1350.View ArticlePubMedGoogle Scholar
- Hevener A, Reichart D, Janez A, Olefsky J: Female rats do not exhibit free fatty acid-induced insulin resistance. Diabetes. 2002, 51: 1907-1912.View ArticlePubMedGoogle Scholar
- Wang G, Qian R, Li Q, Niu T, Chen C, Xu X: The association between PPP1R3 gene polymorphisms and type 2 diabetes mellitus. Chin Med J (Engl). 2001, 114: 1258-1262.Google Scholar
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