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. 2017 Aug 11;14(4):2976–2982. doi: 10.3892/etm.2017.4924

Elevation of PTPN1 promoter methylation is a significant risk factor of type 2 diabetes in the Chinese population

Qing Huang 1,*, Liyuan Han 2,*, Yanfen Liu 2, Changyi Wang 3, Donghui Duan 2, Nanjia Lu 2, Kaiyue Wang 2, Lu Zhang 2, Kaibo Gu 2, Shiwei Duan 2,✉, Yifeng Mai 1,✉
PMCID: PMC5639402  PMID: 29042909

Abstract

The present study aimed to investigate the contribution of DNA methylation of the protein tyrosine phosphatase, non-receptor type 1 (PTPN1) gene to the susceptibility to type 2 diabetes (T2D). Peripheral blood mononuclear cells (PBMCs) were collected from 97 patients with T2D and 97 age- and gender-matched controls. DNA methylation of the PTPN1 gene promoter was evaluated by bisulfite pyrosequencing. Independent sample t-tests were used to compare the differences in the PTPN1 promoter and other phenotypes between the patients with T2D and the controls. The results indicated a significant correlation between PTPN1 promoter methylation and the risk of T2D. Additionally, a breakdown analysis by gender revealed that PTPN1 methylation was associated with an increased risk of T2D in females. Furthermore, low-density lipoprotein (r=−0.183, P=0.046) and total cholesterol (r=−0.310, P=0.001) were inversely associated with PTPN1 methylation in females. In conclusion, the results indicate that elevated PTPN1 promoter methylation is a risk factor for T2D in the female Chinese population.

Keywords: methylation, protein tyrosine phosphatase, non-receptor type 1, promoter, type 2 diabetes

Introduction

Type 2 diabetes (T2D), which accounts for >90% of cases of diabetes, is a complex metabolic disorder, and its prevalence is increasing worldwide. It is estimated by the International Diabetes Federation that the number of patients with T2D will reach 592 million in 2035 (1). Additionally, the high morbidity rate of T2D primarily results from the lack of understanding its pathogenic mechanisms.

Genes, environmental factors and their interactions are hypothesized to contribute to the development of T2D (2). Furthermore, a large number of susceptible genetic loci have been identified by genome wide association studies (3,4). Numerous environmental factors affecting T2D have also been established, including diet (5) and an unhealthy lifestyle (6). However, these observations only explain a small portion of the susceptibility to T2D (7).

Epigenetic modifications are heritable changes in gene function without any change in the nucleotide sequence. The functions of epigenetic modifications on diabetes have been recognized, such as on the origin and progression of diabetes (8–11). Primarily, DNA methylation, which is one of the most studied epigenetic modifications, is affected by several environmental factors, such as the diet (12), hyperglycemia (13) and hyperlipemia (5). There is that aberrant DNA methylation of pancreatic and duodenal homeobox 1 (13), monocyte chemotactic protein 1 (14), B-cell lymphoma/leukemia (BCL11A) (15) and glucokinase (GCK) (16) genes are associated with the risk of T2D. Furthermore, aberrant DNA methylation can alter gene expression (17). Given these observations, it appears that DNA methylation research may be useful for revealing the pathogenesis of T2D.

Insulin and leptin signaling are important in mammals (18–22). As an insulin signaling pathway gene, the protein tyrosine phosphatase, non-receptor type 1 (PTPN1) gene encodes the protein-tyrosine phosphatase 1B (PTP1B) protein (23). Additionally, overexpression of PTP1B hinders the insulin-signaling pathway by decreasing the phosphorylation of the insulin receptor (IR) and/or insulin receptor substrate 1 (20). Conversely, in PTP1B-deficient mice, insulin sensitivity is enhanced, and the phosphorylation of the IR in the liver and muscle is increased and prolonged (24,25). PTP1B also attenuates leptin action through binding and dephosphorylating the Janus kinase 2-a receptor of leptin (21,22). It is noteworthy that small-molecule inhibitors of PTP1B have gained much progression in the treatment of T2D (26–28).

In the present study, methylation of the PTPN1 promoter was hypothesized to be capable of altering gene expression. Furthermore, it is expected that testing the association of PTPN1 methylation with the risk of T2D may provide further information concerning the pathogenic mechanism of T2D.

Materials and methods

Sample collection

A total of 97 T2D cases and 97 age- and gender-matched controls were recruited from 16 Community Health Service Centers, which were affiliated to the Shenzhen Nanshan Center for Chronic Disease Control (Shenzhen, China). The participants were between 50 and 70 years old. The body mass index (BMI) was calculated using the following formula: BMI=weight(kg)/height(m2). Furthermore, T2D was diagnosed according to the 1999 World Health Organization standard, which defines diabetes as a fasting plasma glucose level ≥7.0 mmol/l, a 2 h oral glucose tolerance test level ≥11.1 mmol/l, or patients receiving antidiabetic medication treatment (29). Additionally, the subjects did not have a history of hypertension, coronary heart disease, drug abuse or other serious diseases. The study was approved by the Ethics Committees of the Affiliated Hospital of Ningbo University and Shenzhen Nanshan Center for Chronic Disease Control, and all participants provided written informed consent forms.

PBMC isolation and DNA extraction

Blood samples were collected in tubes containing EDTA and PBMCs were isolated using Ficoll-Paque (Histopaque 1077; Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) by means of density gradient centrifugation (1,000 × g for 30 min at room temperature). Then the PBMCs were washed twice with PBS to prepare for DNA extraction. Human genomic DNA extraction and quantification were performed as described previously (30).

Biochemical and bisulfite pyrosequencing

Plasma triglyceride (TG), total cholesterol (TC), low-density lipoprotein (LDL) levels, glucose concentration, creatinine (CRE) and uric acid (UA) were all measured using a CX7 Analyzer (Beckman Coulter, Inc., Brea, CA, USA) according to the manufacturer's protocol. The PTPN1 methylation level was determined using pyrosequencing technology (Pyromark Gold Q24 Reagents; Qiagen China Co., Ltd., Shanghai, China). The primer sequences used were: 5′-biotin-TAG GGG TAG GGG ATT GTA-3′ (forward) and 5′-CTCCTTTTCCATCTCCATA-3′ (reverse), and 5′-TTTTCCATCTCCATAA-3′ (sequencing primer). All oligomers were synthesized by Sangon Biotech Co., Ltd. (Shanghai, China). Detailed information on the methylation assay has been provided in previous studies (15,16).

Statistical analysis

Independent sample t-test was used to compare the differences of continuous variables between the patients with T2D and controls. Pearson's correlation analysis was used to analyze the association between PTPN1 methylation and metabolic characteristics of subjects. P<0.05 was considered to indicate a statistically significant difference. All statistical analyses were performed using PASW statistics version 18.0 software (SPSS, Inc., Chicago, IL, USA).

Results

Correlation analysis of the cytosine-guanine dinucleotide site (CpG) methylation of PTPN1 with T2D

As shown in Fig. 1, the bisulfite pyrosequencing assay was performed on a fragment (chr20: 49126618-49127435) in the promoter region of the PTPN1 gene. A total of eight CpG sites were evaluated in order to explore their association with the risk of T2D. The methylation levels of all eight CpG loci showed a significant strong correlation (mean r>0.47, P<0.001).

Figure 1.

Figure 1.

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Pairwise correlation among eight methylated cytosine-guanine dinucleotide sites in the PTPN1 gene promoter. PTPN1, protein tyrosine phosphatase, non-receptor type 1; CpG, cytosine-guanine dinucleotide site; UTR, untranslated region.

Correlation between PTPN1 methylation and T2D

As shown in Table I, the methylation levels of the eight CpGs were significantly elevated in T2D cases compared with the controls (CpG1, P=0.001; CpG2, P=0.002; CpG3, P=0.001; CpG4, P=0.003; CpG5, P=0.007; CpG6, P=0.001; CpG7, P=0.036; CpG8, P=0.001). Increased levels of mean PTPN1 (CpG1-8) methylation were also observed in T2D cases (P=0.001; Fig. 2). Further gender breakdown analysis demonstrated that the methylation levels of the CpGs (CpG1-8) were significantly elevated in female T2D cases compared with female controls (all P<0.05; Table I). However, no significant differences in PTPN1 methylation between male T2D cases and male controls were identified (all P>0.05; Table I).

Table I.

Comparison of protein tyrosine phosphatase, non-receptor type 1 methylation levels (%) between cases of T2D and controls.

Characteristics Controls Cases P-value
All subjects, n=194a
  CpG1 12.00±9.03 15.98±9.18 0.001
  CpG2   6.41±3.16   8.68±4.48 0.002
  CpG3   5.57±1.88   6.98±3.11 0.001
  CpG4 15.46±5.76 18.87±8.09 0.003
  CpG5   6.23±1.75   7.51±3.69 0.007
  CpG6   4.60±0.87   5.21±1.24 0.001
  CpG7   4.84±1.39   5.15±1.60 0.036
  CpG8   4.37±0.70   4.89±0.76 0.001
  CpG mean   7.43±2.37   9.16±3.02 1.34×10−4
Female, n=120b
  CpG1 10.77±7.86 16.57±9.33 0.001
  CpG2   5.92±2.14   8.77±5.02 0.001
  CpG3   5.37±1.88   6.78±3.06 0.013
  CpG4 14.80±5.73 18.34±8.25 0.021
  CpG5   6.15±1.96   7.18±2.03 0.044
  CpG6   4.51±0.92   5.23±1.29 0.006
  CpG7   4.59±0.90   5.07±0.94 0.023
  CpG8   4.26±0.76   4.84±0.71 1.00×10−3
  CpG mean   7.05±2.15   9.10±3.12 4.82×10−4
Male, n=74c
  CpG1 14.00±10.46 15.02±8.96 0.918
  CpG2   7.20±4.25   8.53±3.48 0.570
  CpG3   5.90±1.86   7.29±3.21 0.067
  CpG4 16.51±5.74 19.75±7.85 0.072
  CpG5   6.35±1.36   8.06±5.40 0.101
  CpG6   4.74±0.78   5.17±1.16 0.128
  CpG7   5.24±1.88   5.28±2.32 0.536
  CpG8   4.54±0.58   4.96±0.85 0.436
  CpG mean   8.06±2.61   9.26±2.89 0.192
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a

DNA methylation in the T2D controls and cases was adjusted for smoking, drinking, TG and CRE in all subjects.

b

DNA methylation in T2D controls and cases was adjusted for drinking, triglyceride, low-density lipoprotein and uric acid in females.

c

DNA methylation in T2D controls and cases was adjusted for drinking, smoking and creatinine in males. Results are expressed as the mean ± standard deviation. CpGs, cytosine-guanine dinucleotide sites; T2D, type 2 diabetes.

Figure 2.

Figure 2.

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Comparison of the mean DNA methylation levels of the protein tyrosine phosphatase, non-receptor type 1 gene promoter between patients with type 2 diabetes and controls.

Clinical characteristics of the subjects

The results of the present study indicate that TG (P=0.018) and CRE (P=6.00×10−3) levels are significantly different between the patients with T2D and the controls for all subjects (Table II). While the levels of TG (P=0.002), LDL (P=0.040) and UA (P=0.037) were significantly different between the cases and controls in females, the CRE levels were significantly different between the cases and controls in males (P=0.002; Table II). Further correlation analyses between clinical parameters and PTPN1 methylation were also conducted. Notably, significant correlations of LDL (r=−0.310, P=0.001) and TC (r=−0.183, P=0.046) concentration with PTPN1 methylation were observed only in females, and age (r=0.275, P=0.017) exhibited a significant correlation with PTPN1 methylation only in male T2D patients (Fig. 3). Furthermore, no significant correlations between other phenotypes and PTPN1 methylation were identified (P>0.05).

Table II.

Characteristics of the subjects in the T2D case and control groups.

Characteristics Controls Cases P-value
All subjects, n=194
  Age (years) 59.79±9.39 59.79±9.39 1.000
  BMI (kg/m2) 23.19±1.65 23.19±1.61 0.985
  TC (mmol/l)   5.15±0.91   5.21±1.25 0.711
  TG (mmol/l)   1.49±0.59   2.26±2.89 0.018d
  LDL (mmol/l)   3.22±0.80   2.98±0.92 0.053
  UA (µmol/l) 332.90±88.57 344.28±97.79 0.400
  CRE (µmol/l) 69.20±17.80 77.19±24.28 6.00×10−3d
Female, n=120
  Age (years) 60.07±8.64 60.07±8.64 1.000
  BMI (kg/m2) 22.86±1.66 22.98±1.61 0.701
  TC (mmol/l)   5.28±1.17   5.41±0.87 0.476
  TG (mmol/l)   1.52±0.55   2.42±2.20 0.002a
  LDL (mmol/l)   3.35±0.85   3.01±0.96 0.040
  UA (µmol/l) 293.87±70.51 325.18±90.79 0.037
  CRE (µmol/l) 63.77±19.07 68.83±23.04 0.084a
Male, n=74
  Age (years) 59.35±10.60 59.35±10.60 1.000
  BMI (kg/m2) 23.72±1.51 23.55±1.63 0.633
  TC (mmol/l)   4.74±0.82   5.11±1.37 0.162
  TG (mmol/l)   1.45±0.66   1.99±3.78 0.969a
  LDL (mmol/l)   3.01±0.68   2.93±0.88 0.666
  UA (µmol/l) 396.19±78.19 375.24±101.96 0.325
  CRE (µmol/l) 78.00±10.95 90.73±19.91 0.002a
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a

TG and CRE were subjected to log-transformation for comparison. Results are expressed as the mean ± standard deviation. BMI, body mass index; TC, total cholesterol; TG, triglyceride; LDL, low-density lipoprotein; UA, uric acid; CRE, creatinine; T2D, type 2 diabetes.

Figure 3.

Figure 3.

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Correlation analyses between the mean protein tyrosine phosphatase, non-receptor type 1 DNA methylation and clinical phenotypes. Correlation analyses between (A) the mean PTPN1 DNA methylation and TC level, and (B) the mean PTPN1 DNA methylation and LDL level. TC, total cholesterol; LDL, low-density lipoprotein.

Discussion

DNA methylation is a common epigenetic modification, and increasing evidence suggests that it is important in T2D (15,16,31). The goal of the present study was to evaluate the contribution of PTPN1 promoter methylation to the risk of T2D. The results of the present study revealed that T2D cases have a significantly higher methylation level in the PTPN1 promoter compared with healthy controls, particularly in females. To the best of our knowledge, this is the first study to investigate the association of PTPN1 promoter methylation with T2D in humans.

PTP1B is a key modulator of energy metabolism, involved in insulin (20), leptin (21) and other signal transduction pathways (32). Insulin resistance is the core mechanism in the development of T2D (20). Previous studies in mice reveal that PTP1B-deficiency increases energy expenditure, tissue-specific insulin sensitivity, obesity resistance (20,24,25) and leptin signaling in the hypothalamus (33). Furthermore, PTP1B antisense oligonucleotide has been shown to improve insulin sensitivity in the liver and fat in diabetic mouse models (20). PTPN1 1484insG variation contributes to insulin resistance by upregulating PTPN1 expression (34). Additionally, PTPN1 polymorphisms have been shown to be significant risk factors for T2D (35). Murashov et al (36) demonstrated that the alteration of mouse PTPN1 gene expression in the skeletal muscle of offspring may occur as a consequence of paternal long-term exercise, resulting in metabolic disorders, including lower energy expenditure, increased obesity risk, impaired glucose tolerance and elevated insulin levels in the offspring. The present study revealed that elevated PTPN1 methylation is associated with T2D, providing new information useful for elaborating the role of this gene in the pathogenesis of T2D.

Promoter hypermethylation often downregulates gene transcription (37). Furthermore, DNA methylation has been shown to be important in the development of T2D (38,39). CpG sites in the mouse Ins2 and human INS promoters can suppress insulin promoter-driven reporter gene activity, and thus regulate the insulin expression of pancreatic β cells (39). Our previous studies have suggested that CpG island methylation of BCL11A and GCK is associated with the risk of T2D in the male Chinese population (15,16). Furthermore, in the present study, PTPN1 gene methylation was found to predict the risk of T2D in the female Chinese population. Additionally, it may be hypothesized that PTPN1 methylation alters PTPN1 gene expression or PTP1B activity, and thus increases the risk of T2D. However, further studies on the mechanism associating PTPN1 methylation with T2D are required to support this hypothesis.

Previous studies have suggested that gender disparities are widely present in T2D and its complications (15,16,40,41). Sex hormone imbalance has significant association with the high risk of T2D and concomitant complications (42). Sex hormones regulate the level of DNA methylation (43) and their induced epigenetic changes may increase or reduce the disease risk (44). Additionally, the X-chromosome methylation in islets is higher in females than in males (45). Also, sex-specific DNA methylation patterns have been identified in the blood (43), heart muscle (5) and liver (46). The present study indicates that promoter methylation of the PTPN1 gene may contribute to T2D susceptibility in females, which suggests that PTPN1 methylation may contribute to the risk of T2D in females by a mechanism involving the regulatory effects of sex hormones.

Aberrant clinical phenotypes are indispensable contributors to the development of T2D. In the present study, PTPN1 methylation was found to be correlated with TC and LDL in females, although TC and LDL are not able to predict the risk of T2D. Furthermore, it is speculated that PTPN1 methylation may increase the risk for T2D by influencing TC and LDL metabolism in females.

The present study indicates that PTPN1 methylation is positively correlated with age in males. In addition to being observed in the peripheral blood, age-associated DNA methylation (47) has been detected in other human tissues, including the skeletal muscle (48), kidney (49) and brain (47). Additionally, age and environmental factors may exert an influence on the risk of diabetes by altering tissue-specific methylation of certain genes (50), and age-dependent gene hypermethylation has also been observed in human skeletal muscle (51).

However, the following limitations of the present study should be noted. First, the sample size calculation indicates that 194 patients will give 97.8% power at α=0.05 to detect a mean difference in DNA methylation (standard deviation, 3.02%) between T2D cases and controls. Further power analysis showed that there was 94.6% power for females and 41.8% power for males. Thus, the observations in the total samples were reliable; however, the negative results in the males may require confirmation using larger sample sizes in future studies. Secondly, the underlying molecular mechanism explaining why PTPN1 methylation increases the risk of T2D was not investigated in the present study. Thirdly, epigenetic differences are tissue-specific, and blood samples may not fully represent the contribution of PTPN1 to T2D in other tissues such as the pancreatic islets.

In conclusion, the present study demonstrates a significant correlation between elevated CpG methylation of PTPN1 and T2D in females, which may further help to clarify the pathogenesis of T2D. However, further studies with a larger sample size are required to elucidate the underlying mechanisms, as well as to explore the interactions between DNA methylation and environmental factors contributing to the susceptibility of T2D.

Acknowledgements

The present study was supported by the National Natural Science Foundation of China (grant no. 81402745), the Zhejiang Provincial Medical and Healthy Science and Technology Projects (grant no. 2013KYA228), the Ministry of Education, Humanities and Social Sciences project (grant no. 14YJC630046), the Natural Science Foundation of Ningbo City (grant no. 2014A610268), the Natural Science Foundation of Zhejiang Province (grant no. LQ13H260002) and the K. C. Wong Magna Fund of Ningbo University.

Glossary

Abbreviations

PTPN1

protein tyrosine phosphatase, non-receptor type 1

T2D

type 2 diabetes

PBMCs

peripheral blood mononuclear cells

PTP1B

protein-tyrosine phosphatase 1B

IR

insulin receptor

TG

triglyceride

TC

total cholesterol

LDL

low-density lipoprotein

UA

uric acid

CRE

creatinine

References

  • 1.http://www.idf.org/sites/default/files/IDF-2014-Annual-Report-final.pdf. International Diabetes Federation: Annual Report. 2014 2016 Mar 13; Accessed. [Google Scholar]
  • 2.Gu T, Horová E, Möllsten A, Seman NA, Falhammar H, Prazny M, Brismar K, Gu HF. IGF2BP2 and IGF2 genetic effects in diabetes and diabetic nephropathy. J Diabetes Complications. 2012;26:393–398. doi: 10.1016/j.jdiacomp.2012.05.012. [DOI] [PubMed] [Google Scholar]
  • 3.Drong AW, Lindgren CM, McCarthy MI. The genetic and epigenetic basis of type 2 diabetes and obesity. Clin Pharmacol Ther. 2012;92:707–715. doi: 10.1038/clpt.2012.149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kwak SH, Kim SH, Cho YM, Go MJ, Cho YS, Choi SH, Moon MK, Jung HS, Shin HD, Kang HM, et al. A genome-wide association study of gestational diabetes mellitus in Korean women. Diabetes. 2012;61:531–541. doi: 10.2337/db11-1034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Tobias DK, Hu FB, Chavarro J, Rosner B, Mozaffarian D, Zhang C. Healthful dietary patterns and type 2 diabetes mellitus risk among women with a history of gestational diabetes mellitus. Arch Intern Med. 2012;172:1566–1572. doi: 10.1001/archinternmed.2012.3747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wittmeier KD, Wicklow BA, Sellers EA, Griffith AT, Dean HJ, McGavock JM. Success with lifestyle monotherapy in youth with new-onset type 2 diabetes. Paediatr Child Health. 2012;17:129–132. doi: 10.1093/pch/17.3.129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, et al. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 2010;42:579–589. doi: 10.1038/ng.609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pinney SE, Simmons RA. Epigenetic mechanisms in the development of type 2 diabetes. Trends Endocrinol Metab. 2010;21:223–229. doi: 10.1016/j.tem.2009.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pirola L, Balcerczyk A, Okabe J, El-Osta A. Epigenetic phenomena linked to diabetic complications. Nat Rev Endocrinol. 2010;6:665–675. doi: 10.1038/nrendo.2010.188. [DOI] [PubMed] [Google Scholar]
  • 10.Wren JD, Garner HR. Data-mining analysis suggests an epigenetic pathogenesis for type 2 diabetes. J Biomed Biotechnol. 2005;2005:104–112. doi: 10.1155/JBB.2005.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Slomko H, Heo HJ, Einstein FH. Minireview: Epigenetics of obesity and diabetes in humans. Endocrinology. 2012;153:1025–1030. doi: 10.1210/en.2011-1759. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jacobsen SC, Brøns C, Bork-Jensen J, Ribel-Madsen R, Yang B, Lara E, Hall E, Calvanese V, Nilsson E, Jørgensen SW, et al. Effects of short-term high-fat overfeeding on genome-wide DNA methylation in the skeletal muscle of healthy young men. Diabetologia. 2012;55:3341–3349. doi: 10.1007/s00125-012-2717-8. [DOI] [PubMed] [Google Scholar]
  • 13.Yang BT, Dayeh TA, Volkov PA, Kirkpatrick CL, Malmgren S, Jing X, Renström E, Wollheim CB, Nitert MD, Ling C. Increased DNA methylation and decreased expression of PDX-1 in pancreatic islets from patients with type 2 diabetes. Mol Endocrinol. 2012;26:1203–1212. doi: 10.1210/me.2012-1004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Liu ZH, Chen LL, Deng XL, Song HJ, Liao YF, Zeng TS, Zheng J, Li HQ. Methylation status of CpG sites in the MCP-1 promoter is correlated to serum MCP-1 in Type 2 diabetes. J Endocrinol Invest. 2012;35:585–589. doi: 10.3275/7981. [DOI] [PubMed] [Google Scholar]
  • 15.Tang L, Wang L, Ye H, Xu X, Hong Q, Wang H, Xu L, Bu S, Zhang L, Cheng J, et al. BCL11A gene DNA methylation contributes to the risk of type 2 diabetes in males. Exp Ther Med. 2014;8:459–463. doi: 10.3892/etm.2014.1783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tang L, Ye H, Hong Q, Wang L, Wang Q, Wang H, Xu L, Bu S, Zhang L, Cheng J, et al. Elevated CpG island methylation of GCK gene predicts the risk of type 2 diabetes in Chinese males. Gene. 2014;547:329–333. doi: 10.1016/j.gene.2014.06.062. [DOI] [PubMed] [Google Scholar]
  • 17.Weber M, Hellmann I, Stadler MB, Ramos L, Paabo S, Rebhan M, Schübeler D. Distribution, silencing potential and evolutionary impact of promoter DNA methylation in the human genome. Nat Genet. 2007;39:457–466. doi: 10.1038/ng1990. [DOI] [PubMed] [Google Scholar]
  • 18.Dadke S, Kusari J, Chernoff J. Down-regulation of insulin signaling by protein-tyrosine phosphatase 1B is mediated by an N-terminal binding region. J Biol Chem. 2000;275:23642–23647. doi: 10.1074/jbc.M001063200. [DOI] [PubMed] [Google Scholar]
  • 19.Goldstein BJ, Bittner-Kowalczyk A, White MF, Harbeck M. Tyrosine dephosphorylation and deactivation of insulin receptor substrate-1 by protein-tyrosine phosphatase 1B. Possible facilitation by the formation of a ternary complex with the Grb2 adaptor protein. J Biol Chem. 2000;275:4283–4289. doi: 10.1074/jbc.275.6.4283. [DOI] [PubMed] [Google Scholar]
  • 20.Zinker BA, Rondinone CM, Trevillyan JM, Gum RJ, Clampit JE, Waring JF, Xie N, Wilcox D, Jacobson P, Frost L, et al. PTP1B antisense oligonucleotide lowers PTP1B protein, normalizes blood glucose, and improves insulin sensitivity in diabetic mice. Proc Natl Acad Sci USA. 2002;99:11357–11362. doi: 10.1073/pnas.142298199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Cheng A, Uetani N, Simoncic PD, Chaubey VP, Lee-Loy A, McGlade CJ, Kennedy BP, Tremblay ML. Attenuation of leptin action and regulation of obesity by protein tyrosine phosphatase 1B. Dev Cell. 2002;2:497–503. doi: 10.1016/S1534-5807(02)00149-1. [DOI] [PubMed] [Google Scholar]
  • 22.Zabolotny JM, Bence-Hanulec KK, Stricker-Krongrad A, Haj F, Wang Y, Minokoshi Y, Kim YB, Elmquist JK, Tartaglia LA, Kahn BB, Neel BG. PTP1B regulates leptin signal transduction in vivo. Dev Cell. 2002;2:489–495. doi: 10.1016/S1534-5807(02)00148-X. [DOI] [PubMed] [Google Scholar]
  • 23.Brown-Shimer S, Johnson KA, Lawrence JB, Johnson C, Bruskin A, Green NR, Hill DE. Molecular cloning and chromosome mapping of the human gene encoding protein phosphotyrosyl phosphatase 1B. Proc Natl Acad Sci USA. 1990;87:5148–5152. doi: 10.1073/pnas.87.13.5148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Elchebly M, Payette P, Michaliszyn E, Cromlish W, Collins S, Loy AL, Normandin D, Cheng A, Himms-Hagen J, Chan CC, et al. Increased insulin sensitivity and obesity resistance in mice lacking the protein tyrosine phosphatase-1B gene. Science. 1999;283:1544–1548. doi: 10.1126/science.283.5407.1544. [DOI] [PubMed] [Google Scholar]
  • 25.Klaman LD, Boss O, Peroni OD, Kim JK, Martino JL, Zabolotny JM, Moghal N, Lubkin M, Kim YB, Sharpe AH, et al. Increased energy expenditure, decreased adiposity, and tissue-specific insulin sensitivity in protein-tyrosine phosphatase 1B-deficient mice. Mol Cell Biol. 2000;20:5479–5489. doi: 10.1128/MCB.20.15.5479-5489.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Sun J, Wang Y, Fu X, Chen Y, Wang D, Li W, Xing S, Li G. Magnolia officinalis extract contains potent inhibitors against PTP1B and attenuates hyperglycemia in db/db mice. Biomed Res Int. 2015;2015:139451. doi: 10.1155/2015/139451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Maeda A, Kai K, Ishii M, Ishii T, Akagawa M. Safranal, a novel protein tyrosine phosphatase 1B inhibitor, activates insulin signaling in C2C12 myotubes and improves glucose tolerance in diabetic KK-Ay mice. Mol Nutr Food Res. 2014;58:1177–1189. doi: 10.1002/mnfr.201300675. [DOI] [PubMed] [Google Scholar]
  • 28.Uddin MN, Sharma G, Yang JL, Choi HS, Lim SI, Kang KW, Oh WK. Oleanane triterpenes as protein tyrosine phosphatase 1B (PTP1B) inhibitors from Camellia japonica. Phytochemistry. 2014;103:99–106. doi: 10.1016/j.phytochem.2014.04.002. [DOI] [PubMed] [Google Scholar]
  • 29.Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15:539–553. doi: 10.1002/(SICI)1096-9136(199807)15:7&#x0003c;539::AID-DIA668&#x0003e;3.0.CO;2-S. [DOI] [PubMed] [Google Scholar]
  • 30.Zhou J, Huang Y, Huang RS, Wang F, Xu L, Le Y, Yang X, Xu W, Huang X, Lian J, Duan S. A case-control study provides evidence of association for a common SNP rs974819 in PDGFD to coronary heart disease and suggests a sex-dependent effect. Thromb Res. 2012;130:602–606. doi: 10.1016/j.thromres.2012.05.023. [DOI] [PubMed] [Google Scholar]
  • 31.Tang LL, Liu Q, Bu SZ, Xu LT, Wang QW, Mai YF, Duan SW. The effect of environmental factors and DNA methylation on type 2 diabetes mellitus. Yi Chuan. 2013;35:1143–1152. doi: 10.3724/SP.J.1005.2013.01143. (In Chinese) [DOI] [PubMed] [Google Scholar]
  • 32.Bakke J, Haj FG. Protein-tyrosine phosphatase 1B substrates and metabolic regulation. Semin Cell Dev Biol. 2015;37:58–65. doi: 10.1016/j.semcdb.2014.09.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Chiarreotto-Ropelle EC, Pauli LS, Katashima CK, Pimentel GD, Picardi PK, Silva VR, de Souza CT, Prada PO, Cintra DE, Carvalheira JB, et al. Acute exercise suppresses hypothalamic PTP1B protein level and improves insulin and leptin signaling in obese rats. Am J Physiol Endocrinol Metab. 2013;305:E649–E659. doi: 10.1152/ajpendo.00272.2013. [DOI] [PubMed] [Google Scholar]
  • 34.Di Paola R, Frittitta L, Miscio G, Bozzali M, Baratta R, Centra M, Spampinato D, Santagati MG, Ercolino T, Cisternino C, et al. A variation in 3′ UTR of hPTP1B increases specific gene expression and associates with insulin resistance. Am J Hum Genet. 2002;70:806–812. doi: 10.1086/339270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bento JL, Palmer ND, Mychaleckyj JC, Lange LA, Langefeld CD, Rich SS, Freedman BI, Bowden DW. Association of protein tyrosine phosphatase 1B gene polymorphisms with type 2 diabetes. Diabetes. 2004;53:3007–3012. doi: 10.2337/diabetes.53.11.3007. [DOI] [PubMed] [Google Scholar]
  • 36.Murashov AK, Pak ES, Koury M, Ajmera A, Jeyakumar M, Parker M, Williams O, Ding J, Walters D, Neufer PD. Paternal long-term exercise programs offspring for low energy expenditure and increased risk for obesity in mice. FASEB J. 2016;30:775–784. doi: 10.1096/fj.15-274274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Keating ST, El-Osta A. Epigenetic changes in diabetes. Clin Genet. 2013;84:1–10. doi: 10.1111/cge.12121. [DOI] [PubMed] [Google Scholar]
  • 38.Sookoian S, Rosselli MS, Gemma C, Burgueño AL, Gianotti Fernández T, Castaño GO, Pirola CJ. Epigenetic regulation of insulin resistance in nonalcoholic fatty liver disease: Impact of liver methylation of the peroxisome proliferator-activated receptor γ coactivator 1α promoter. Hepatology. 2010;52:1992–2000. doi: 10.1002/hep.23927. [DOI] [PubMed] [Google Scholar]
  • 39.Kuroda A, Rauch TA, Todorov I, Ku HT, Al-Abdullah IH, Kandeel F, Mullen Y, Pfeifer GP, Ferreri K. Insulin gene expression is regulated by DNA methylation. PLoS One. 2009;4:e6953. doi: 10.1371/journal.pone.0006953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kamenov ZA, Parapunova RA, Georgieva RT. Earlier development of diabetic neuropathy in men than in women with type 2 diabetes mellitus. Gend Med. 2010;7:600–615. doi: 10.1016/j.genm.2010.11.001. [DOI] [PubMed] [Google Scholar]
  • 41.Huxley R, Barzi F, Woodward M. Excess risk of fatal coronary heart disease associated with diabetes in men and women: Meta-analysis of 37 prospective cohort studies. BMJ. 2006;332:73–78. doi: 10.1136/bmj.38678.389583.7C. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Zhang H, Sairam MR. Sex hormone imbalances and adipose tissue dysfunction impacting on metabolic syndrome; a paradigm for the discovery of novel adipokines. Horm Mol Biol Clin Investig. 2014;17:89–97. doi: 10.1515/hmbci-2014-0002. [DOI] [PubMed] [Google Scholar]
  • 43.El-Maarri O, Becker T, Junen J, Manzoor SS, Diaz-Lacava A, Schwaab R, Wienker T, Oldenburg J. Gender specific differences in levels of DNA methylation at selected loci from human total blood: A tendency toward higher methylation levels in males. Hum Genet. 2007;122:505–514. doi: 10.1007/s00439-007-0430-3. [DOI] [PubMed] [Google Scholar]
  • 44.Kaminsky Z, Wang SC, Petronis A. Complex disease, gender and epigenetics. Ann Med. 2006;38:530–544. doi: 10.1080/07853890600989211. [DOI] [PubMed] [Google Scholar]
  • 45.Hall E, Volkov P, Dayeh T, Esguerra JL, Salö S, Eliasson L, Rönn T, Bacos K, Ling C. Sex differences in the genome-wide DNA methylation pattern and impact on gene expression, microRNA levels and insulin secretion in human pancreatic islets. Genome Biol. 2014;15:522. doi: 10.1186/s13059-014-0522-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Fu Q, McKnight RA, Callaway CW, Yu X, Lane RH, Majnik AV. Intrauterine growth restriction disrupts developmental epigenetics around distal growth hormone response elements on the rat hepatic IGF-1 gene. FASEB J. 2015;29:1176–1184. doi: 10.1096/fj.14-258442. [DOI] [PubMed] [Google Scholar]
  • 47.Horvath S, Zhang Y, Langfelder P, Kahn RS, Boks MP, van Eijk K, van den Berg LH, Ophoff RA. Aging effects on DNA methylation modules in human brain and blood tissue. Genome Biol. 2012;13:R97. doi: 10.1186/gb-2012-13-10-r97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Zykovich A, Hubbard A, Flynn JM, Tarnopolsky M, Fraga MF, Kerksick C, Ogborn D, MacNeil L, Mooney SD, Melov S. Genome-wide DNA methylation changes with age in disease-free human skeletal muscle. Aging Cell. 2014;13:360–366. doi: 10.1111/acel.12180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Day K, Waite LL, Thalacker-Mercer A, West A, Bamman MM, Brooks JD, Myers RM, Absher D. Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape. Genome Biol. 2013;14:R102. doi: 10.1186/gb-2013-14-9-r102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Christensen BC, Houseman EA, Marsit CJ, Zheng S, Wrensch MR, Wiemels JL, Nelson HH, Karagas MR, Padbury JF, Bueno R. Aging and environmental exposures alter tissue-specific DNA methylation dependent upon CpG island context. PLoS Genet. 2009;5:e1000602. doi: 10.1371/journal.pgen.1000602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Ling C, Poulsen P, Simonsson S, Rönn T, Holmkvist J, Almgren P, Hagert P, Nilsson E, Mabey AG, Nilsson P, et al. Genetic and epigenetic factors are associated with expression of respiratory chain component NDUFB6 in human skeletal muscle. J Clin Invest. 2007;117:3427–3435. doi: 10.1172/JCI30938. [DOI] [PMC free article] [PubMed] [Google Scholar]

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