The Expression Level of mRNA, Protein, and DNA Methylation Status of<i> FOSL2</i> of Uyghur in XinJiang in Type 2 Diabetes

Li, Jun; Li, Siyuan; Hu, Ying; Cao, Guolei; Wang, Siyao; Rai, Partab; Wang, Xiaoli; Sun, Kan

doi:https://doi.org/10.1155/2016/5957404

Journal of Diabetes Research

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Abstract Introduction Materials and Methods Results Discussion Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2016 | Article ID 5957404 | https://doi.org/10.1155/2016/5957404

The Expression Level of mRNA, Protein, and DNA Methylation Status of FOSL2 of Uyghur in XinJiang in Type 2 Diabetes

Jun Li,¹Siyuan Li,²Ying Hu,¹Guolei Cao,^1,3Siyao Wang,^1,4Partab Rai,²Xiaoli Wang,¹and Kan Sun¹

Academic Editor: Bernard Portha

Received05 Sept 2016

Revised25 Oct 2016

Accepted10 Nov 2016

Published06 Dec 2016

Abstract

Objective. We investigated the expression levels of both FOSL2 mRNA and protein as well as evaluating DNA methylation in the blood of type 2 diabetes mellitus (T2DM) Uyghur patients from Xinjiang. This study also evaluated whether FOSL2 gene expression had demonstrated any associations with clinical and biochemical indicators of T2DM. Methods. One hundred Uyghur subjects where divided into two groups, T2DM and nonimpaired glucose tolerance (NGT) groups. DNA methylation of FOSL2 was also analyzed by MassARRAY Spectrometry and methylation data of individual units were generated by the EpiTyper v1.0.5 software. The expression levels of FOS-like antigen 2 (FOSL2) and the protein expression levels were analyzed. Results. Significant differences were observed in mRNA and protein levels when compared with the NGT group, while methylation rates of eight CpG units within the FOSL2 gene were higher in the T2DM group. Methylation of CpG sites was found to inversely correlate with expression of other markers. Conclusions. Results show that a correlation between mRNA, protein, and DNA methylation of FOSL2 gene exists among T2DM patients from Uyghur. FOSL2 protein and mRNA were downregulated and the DNA became hypermethylated, all of which may be involved in T2DM pathogenesis in this population.

1. Introduction

The incidence of diabetes mellitus (DM) and prediabetes mellitus is estimated at approximately 113.9 million and 493.4 million people, respectively [1]. In Xinjiang, there are no less than 13 ethnic groups with Uyghurs accounting for 46% of the total population. The prevalence of T2DM among this group is estimated at about 6.23% [2], and those considered prediabetic account for 31.6% of the population [3]. Xie et al. found that Uyghurs with type 2 DM (T2DM) had a higher body mass index (BMI) [4]. Chronic complications of T2DM, including heart and cerebrovascular disease, visual impairment, and end-stage renal disease, can contribute to high morbidity and mortality, which also creates economic burdens within society and families.

Studies have confirmed that many human diseases are associated with DNA methylation. During DNA methylation, methyl groups are added to CpG sequences within the promoter region [5]. Previous studies have shown that DNA methylation can be changed by age and life style, which suggests that this may be involved in metabolic diseases including T2DM [6–12].

The FOS-like antigen 2 (FOSL2) gene is located on chromosome 2 and has a full length of 21.74 kB. The Fos gene family is constituted by FOSL2, FOS, FOSB, and FOSI, and FOSL2 has been described in many different tissue types in both animals and humans [13]. Recent studies have found that it plays a crucial role in forming fat cells; meanwhile, some researchers have demonstrated that metabolism can be affected by FOSL2 expression [14, 15].

However, the pathogenic potential of methylated FOSL2 in T2DM still remains unknown, especially in the Uyghurs of Xinjiang. Our study aimed to observe the methylation levels of FOSL2 and analyze its correlation with clinical and biochemical indicators of T2DM within this population.

2. Materials and Methods

2.1. Research Subjects Samples

Participants were recruited from Uyghur patients in Xinjiang from September 2013 to March 2014. The subjects were divided into the T2DM () and nonimpaired glucose tolerance (NGT; , as controls) group; because of the remoteness of the region, glycemic control within the blood samples is difficult.

All patients underwent a standard 75 g oral glucose tolerance test. Diagnosing T2DM is based on World Health Organization criteria. Exclusion criteria for the NGT group included T2DM and impaired glucose tolerance. Patients diagnosed with type 1 diabetes or autoimmune diseases or suspected severe heart disease, liver disease, kidney disease, or malignant tumor were excluded. The clinical characteristics of the subjects are listed in Table 1. Metabolic markers including fasting plasma glucose (FPG) and total cholesterol (TC) were measured using clinical chemistry analyzer. Fasting insulin (FINS) was measured by automatic chemiluminescence analyzer. Hemoglobin A1c (HbAlc) was measured by high pressure liquid chromatography. BMI was defined as one’s weight in kilograms divided by the square of one’s height in meters. Waist hip ratio was calculated using the waist hip circumference ratio. The insulin resistance index (HOMA-IR) and pancreatic β cell function index (HOMA-β) were calculated and analyzed using the Homeostasis Model Assessment (HOMA).

All participants signed informed consent at the beginning of the study. This study strictly followed the principles of the Declaration of Helsinki and was approved by the Ethics Committee of the Shihezi University, Xinjiang, China.

2.2. Nucleic Acid Isolation in Leukocyte and Protein in Serum

Total RNA was extracted with the RNAprep Pure Blood Kit (Tiangen Biotech, Beijing, China). DNA was extracted from blood cells using DNeasy Blood and Tissue Kit (Qiagen, Germany) according to manufacturer’s instruction, and the productivity and purity of DNA were measured using a NanoDrop spectrophotometer. The nucleic acid samples were quantified by measuring their absorption at 260 nm. Protein in serum was measured by FOSL2 enzyme-linked immunosorbent assay kit (ELISA, R&D Systems, MN, USA); the termination reaction results in photometric color change from blue to yellow.

2.3. Reverse Transcription-Polymerase Chain Reaction (RT-PCR)

RevertAid™ First Strand cDNA Synthesis Kit (Qiagen) was used. We combined the reverse transcription of RNA and polymerase chain reaction of cDNA to measure the mRNA expression of FOSL2. The primers for FOSL2 were designed by EpiDesigner website (http://www.epidesigner.com/) as follows: forward 5′-CCAGATGAAATGTCATGG C-3′ and reverse 5′-CTCGGTTTGGTAGACTTGGA-3′ and the primers forβ-actin as follows: forward 5′-CCCAGCACAATGAAGATCAAGATCAT-3′ and reverse 5′-ATCTGCTGGAAGGTGGACAGCG-3′. The reaction conditions for the PCR were as follows: 94°C for 4 min then 72°C for 2 min, followed by 36 cycles at 94°C for 30 sec, 56°C for 30 sec and 72°C for 30 sec. The level of mRNA was analyzed by a gel imaging system (Bio-Rad Gel Doc 2000, USA).

2.4. Methylation of FOSL2 Gene

DNA was modified by sodium bisulfite with the reaction condition as follows: 20 cycles at 95°C for 30 sec and 50°C for 15 min. The sequence of the FOSL2 gene was queried from University of California Santa Cruz genome biological information network (http://genome.ucsc.edu/). The primers for FOSL2 were designed by the EpiDesigner website as follows: forward 5′-AGGAAGAGAGGTAGGTTTAGGA GAGGGGTGTG-3′ and reverse 5′-CAGTAATACGACTCACTATAGGGAGAAGG CTACAACCCCCAAAACTTAACTAAAAC-3′, primers for the CpG island of FOSL2 were used to amply bisulfite treated DNA. The reaction conditions for the PCR were as follows: 94°C for 4 min and then 72°C for 3 min, followed by 45 cycles at 94°C for 20 sec, 56°C for 30 sec, and 72°C for 1 min. The PCR products were spotted on a 384-pad SpectroCHIP (Sequenom, San Diego, CA, USA), followed by spectral acquisition on a MassARRAY Analyzer. Methylation data of individual units were generated by the EpiTyper v1.0.5 software (Sequenom).

2.5. Statistical Analysis

The data were analyzed by SPSS17.0 statistical software and correspond to a normal distribution. Data are presented as mean ± standard error. Student’s -test was used to compare the mean of two independent groups. Correlation analysis was used between different indicators. Regression analysis was used in the relationship between variables. was the cut-off for statistical significance.

3. Results

3.1. Clinical and Metabolic Characteristics of Subjects

Fifty Uyghur patients with T2DM and 50 healthy Uyghur participants in the NGT group were used in this study. The clinical and metabolic anthropometric characteristics of subjects involved in the study are showed in Table 1. Compared with NGT group, patients with T2DM showed higher BMI, FPG, HbA1c, TC, triglyceride (TG), low density lipoprotein cholesterol (LDL-C), and FINS levels when compared to control, while T2DM group showed lower high density lipoprotein cholesterol (HDL-C), insulin sensitivity index (ISI), and HOMA-β which is function index of β-cell and index of insulin resistance (IR) levels.

3.2. Comparison of the Expression of FOSL2 mRNA between NGT and T2DM Groups in Uyghurs in Xinjiang

To compare the expression of FOSL2, we measured the mRNA in the NGT and T2DM groups. The results showed that the gene expression level of FOSL2 in the T2DM group was significantly lower than that of the NGT group (Figure 1(a)). Further we did relative quantification analysis in the two groups, which revealed the same trend (, ; ) (Figure 1(b)).

(a)

(b)

3.3. Comparison of the Expression Levels of FOLS2 Protein

Compared with NGT group, the T2DM group had a significantly lower protein expression level for FOSL2 ( ng/mL, ng/mL, ) (Figure 2).

3.4. Comparison of the Mean Methylation Level of FOSL2 in Two Groups

MassARRAY was used to analyze the data from 50 NGT and 50 T2DM samples. Cluster 3.0 was used to distinguish the differences between these two groups. The data generated by Cluster was analyzed by TreeView (Figure 3). FOSL2 DNA methylation showed a significant difference with higher methylation in T2DM (, ; ) (Figure 4).

3.5. Analysis Methylation Status of FOSL2 Gene in the NGT and T2DM Groups

The results of FOSL2 gene methylation studies showed that the methylation rate of CpG units (CpG_3, CpG_4.5, CpG_6.7, CpG_8, CpG_11, CpG_12.13.14, CpG_15.16.17, and CpG_19) was higher in the T2DM group when compared to the NGT group () (Figure 5).

3.6. Analysis of the Correlation between Methylation Level and mRNA of FOSL2

The correlation analyses showed a negative relationship with a correlation coefficient of −0.39 between methylation level and mRNA expression of FOSL2. The regression equation is as follows: (Figure 6).

3.7. Relationship Analysis between Methylation of CpG Units and Clinical Characteristics in Uyghur T2DM Patients in Xinjiang

The correlative analysis showed that methylation of CpG6.7, CpG8, CpG11, CpG12.13.14, and CpG15.16.17 was positively correlated with FPG; CpG11 and CpG12.13.14 were positively correlated with FINs; TC and TG were positively correlated with CpG12.13.14; CpG6.7, CpG8, CpG11, CpG12.13.14, and CpG15.16.17 were negatively correlated with ISI and methylation of CpG11 and CpG12.13.14 was negatively correlated with HOMA-β (Table 2).

4. Discussion

DM has become a major public health problem and as a result of its very high incidence and morbidity there is an urgent need for a sustainable public health solution. T2DM has especially high incidence among the Uyghur populations in Xinjiang. However, the specific mechanism of T2DM development remains unknown and to date, FOSL2 gene methylation has not been investigated in T2DM patients.

Leptin plays important roles in regulating blood glucose and lipid metabolism and has been found to play a negative role in weight gain. It may have a profound impact on insulin resistance [16]. Wrann et al. found that FOSL2 was positively correlated with leptin expression [17].

The FOSL2 gene is widely expressed in various organs and tissues during both human and animal development [18]. The Fos gene family plays an important role in cell differentiation and proliferation [19]. Meanwhile, FOSL2 gene expression has been linked to fat metabolism, cancer, and bone diseases in human and animals [14, 20–22].

Our main findings include FOSL2 expression, at both the protein and mRNA levels, which is significantly reduced in the T2DM group when compared to the NGT group. This reveals a correlation between decreased FOSL2 expression and T2DM, which reveals that the loss of FOSL2 expression is correlated with T2DM. Secondly, 19 CpG sites were described and their methylation state was evaluated; we showed that there is a measured increase in methylation of these CpG islands in the T2DM. DNA methylation has been previously described in other genes associated with T2DM; Ling et al. found that hypermethylation may reduce the mRNA and secretion of insulin [23]. This association was also present in FOSL2. The increased methylation of FOSL2 in the T2DM group correlates with the reduced mRNA levels described in the same group. This association mirrors the observations in the Ling et al. study. Furthermore, previous research from Liliand et al. indicated that DNA methylation might regulate blood lipid levels and lead to metabolic disease [24]. In our study, CpG sites were found inversely related to TC and TG levels. Subjects in the T2DM group also had higher blood lipid levels, providing evidence that the hypermethylation of FOSL2 might be influenced by TC and TG in T2DM group. Brøns et al. found that blood lipid levels increased with DNA methylation levels and decreased insulin secretion and induced insulin resistance [25]. The correlative analysis in our study showed that methylation of the CpG sites was positively related to FPG and FINS, while negatively correlated with ISI and HOMA-β; these coincide with the Brøns et al. study. The correlation between the index of insulin resistance HOMA and methylation of repetitive sequences of Alu was also reported by Zhao et al. [26]. Our results are in line with this study, which showed that glucose and lipid metabolism disorder was the important cause of islet β-cell dysfunction and DNA methylation is significantly associated with insulin resistance [27], resulting in a greater risk of DM. The dysfunction of islet β-cell in our study supports the same conclusion. Our data shows that FOSL2 which is related to glycol-metabolism and pancreas development is hypermethylated in subjects with T2DM. Also, we propose that the high blood glucose and high plasma lipid levels may be positively correlated with hypermethylation and the dysfunction of islet β-cells is a result of hypermethylation. One of the limitations in this study is the choice of experimental method; real-time quantitative PCR may be a better choice for validation in the future. A second, more problematic limitation is the low sample size, and thus our results should be verified in a larger cohort.

In conclusion, FOSL2 in T2DM patients was hypermethylated and exhibited lower mRNA and protein expression levels. The results suggested that DNA methylation may contribute to these lower expression levels, which may in turn contribute to the onset of T2DM. Our data supports the hypothesis that methylation may be an early event in the development of diabetes [28]. These observations provide evidence that FOSL2 methylation state may be a useful biomarker for increasing risk of T2DM progression within the Uyghur population in Xinjiang and preventing a potential novel target for therapeutic development. T2DM often leads to abnormal bone mineral density; Mathen et al. found that subjects with T2DM had lower bone mineral density [29]. Longitudinal studies are needed to clarify the methylation state of FOSL2 among osteoporosis and T2DM with osteoporosis patients; it is worthwhile to investigate whether FOSL2 promotes the formation of osteoblasts and the role of FOSL2 in this and other metabolic diseases.

Competing Interests

The authors declare that they have no competing interests.

Authors’ Contributions

Jun Li, Siyuan Li, and Ying Hu equally contributed to the work.

Acknowledgments

This work was supported by the funding of the Project of Supporting Xinjiang by Science and Technology of the Xinjiang Production and Construction Crops (2014AB049) and the Corps Youth of Science and Technology Innovation Leader Project (2015BC001).

References

Y. Xu and Y. F. Bi, “Prevalence and control of diabetes in Chinese adults the interpretation of a 2010 China Nocommunicable Disease Surveillance report,,” Chinese Journal of Endocrinology and Metabolism, vol. 30, no. 3, pp. 184–186, 2014.
View at: Google Scholar
Y.-N. Yang, X. Xie, Y.-T. Ma et al., “Type 2 diabetes in xinjiang uygur autonomous region, China,” PLoS ONE, vol. 7, no. 4, Article ID e35270, 2012.
View at: Publisher Site | Google Scholar
H. W. Zhang, S. Jiang, and Y. C. Xu, “A cross-sectional study on serum uric acid level and the distirbution of metabolic syndrome among Uigur, Han and Kazak prediabetic groups in Xinjiang,” Chinese Journal of Epidemiology, vol. 34, no. 10, pp. 958–960, 2013.
View at: Google Scholar
Z. J. Xie, Y. Pan, L. L. Li et al., “Roles of hereditary and environmental factors in the pathogenesis of type 2 diabetes of Han and Uygur nationalities in Xinjiang,” Chinese Journal of Endocrinology and Metabolism, vol. 24, no. 1, pp. 13–15, 2008.
View at: Google Scholar
R. Lister, M. Pelizzola, R. H. Dowen et al., “Human DNA methylomes at base resolution show widespread epigenomic differences,” Nature, vol. 462, no. 7271, pp. 315–322, 2009.
View at: Publisher Site | Google Scholar
M. F. Fraga, E. Ballestar, M. F. Paz et al., “Epigenetic differences arise during the lifetime of monozygotic twins,” Proceedings of the National Academy of Sciences of the United States of America, vol. 102, no. 30, pp. 10604–10609, 2005.
View at: Publisher Site | Google Scholar
T. Rönn, P. Poulsen, O. Hansson et al., “Age influences DNA methylation and gene expression of COX7A1 in human skeletal muscle,” Diabetologia, vol. 51, no. 7, pp. 1159–1168, 2008.
View at: Publisher Site | Google Scholar
S. C. Jacobsen, C. Brøns, J. Bork-Jensen et al., “Effects of short-term high-fat overfeeding on genome-wide DNA methylation in the skeletal muscle of healthy young men,” Diabetologia, vol. 55, no. 12, pp. 3341–3349, 2012.
View at: Publisher Site | Google Scholar
M. D. Nitert, T. Dayeh, P. Volkov et al., “Impact of an exercise intervention on DNA methylation in skeletal muscle from first-degree relatives of patients with type 2 diabetes,” Diabetes, vol. 61, no. 12, pp. 3322–3332, 2012.
View at: Publisher Site | Google Scholar
T. Rönn, P. Volkov, C. Davegårdh et al., “A six months exercise intervention influences the genome-wide DNA methylation pattern in human adipose tissue,” PLoS Genetics, vol. 9, no. 6, Article ID e1003572, 2013.
View at: Publisher Site | Google Scholar
S. C. Jacobsen, L. Gillberg, J. Bork-Jensen et al., “Young men with low birthweight exhibit decreased plasticity of genome-wide muscle DNA methylation by high-fat overfeeding,” Diabetologia, vol. 57, no. 6, pp. 1154–1158, 2014.
View at: Publisher Site | Google Scholar
M. Volkmar, S. Dedeurwaerder, D. A. Cunha et al., “DNA methylation profiling identifies epigenetic dysregulation in pancreatic islets from type 2 diabetic patients,” The EMBO Journal, vol. 31, no. 6, pp. 1405–1426, 2012.
View at: Publisher Site | Google Scholar
D. Carrasco and R. Bravo, “Tissue-specific expression of the fos-related transcription factor fra-2 during mouse development,” Oncogene, vol. 10, no. 6, pp. 1069–1079, 1995.
View at: Google Scholar
A. Bozec, L. Bakiri, M. Jimenez, T. Schinke, M. Amling, and E. F. Wagner, “Fra-2/AP-1 controls bone formation by regulating osteoblast differentiation and collagen production,” Journal of Cell Biology, vol. 190, no. 6, pp. 1093–1106, 2010.
View at: Publisher Site | Google Scholar
A. Bozec, L. Bakiri, M. Jimenez et al., “Osteoblast-specific expression of Fra-2/AP-1 controls adiponectin and osteocalcin expression and affects metabolism,” Journal of Cell Science, vol. 126, no. 23, pp. 5432–5440, 2013.
View at: Publisher Site | Google Scholar
E. E. Jennifer, G. T. Carla, and Z. Peter, “Variations in adipokine genes AdipoQ, Lep, and LepR are associated with risk for obesity-related metabolic disease: the modulatory role of gene-nutrient interactions,” Journal of Obesity, vol. 2011, Article ID 168659, 17 pages, 2011.
View at: Publisher Site | Google Scholar
C. D. Wrann, J. Eguchi, A. Bozec et al., “FOSL2 promotes leptin gene expression in human and mouse adipocytes,” Journal of Clinical Investigation, vol. 122, no. 3, pp. 1010–1021, 2012.
View at: Publisher Site | Google Scholar
E. Bossy-Wetzel, L. Bakiri, and M. Yaniv, “Induction of apoptosis by the transcription factor c-Jun,” EMBO Journal, vol. 16, no. 7, pp. 1695–1709, 1997.
View at: Publisher Site | Google Scholar
Y. Chinenov and T. K. Kerppola, “Close encounters of many kinds: Fos-Jun interactions that mediate transcription regulatory specificity,” Oncogene, vol. 20, no. 19, pp. 2438–2452, 2001.
View at: Publisher Site | Google Scholar
A. Bozec, L. Bakiri, M. Jimenez et al., “Osteoblast-specific expression of Fra-2/AP-1 controls adiponectin and osteocalcin expression and affects metabolism,” Journal of Cell Science, vol. 126, no. 23, pp. 5432–5440, 2013.
View at: Publisher Site | Google Scholar
A. Bozec, L. Bakiri, A. Hoebertz et al., “Osteoclast size is controlled by Fra-2 through LIF/LIF-receptor signalling and hypoxia,” Nature, vol. 454, no. 7201, pp. 221–225, 2008.
View at: Publisher Site | Google Scholar
E. F. Wagner, “Bone development and inflammatory disease is regulated by AP-1 (Fos/Jun),” Annals of the Rheumatic Diseases, vol. 69, supplement 1, pp. i86–i88, 2010.
View at: Publisher Site | Google Scholar
C. Ling, S. Del Guerra, R. Lupi et al., “Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion,” Diabetologia, vol. 51, no. 4, pp. 615–622, 2008.
View at: Publisher Site | Google Scholar
P. Liliand, W. Simone, C. P. Luke et al., “DNA methylation of lipid—related gene affects blood lipid levels,” Circulation: Cardiovascular Genetics, vol. 8, no. 2, pp. 334–342, 2015.
View at: Google Scholar
C. Brøns, S. Jacobsen, E. Nilsson et al., “Deoxyribonucleic acid methylation and gene expression of PPARGC1A in human muscle is influenced by high-fat overfeeding in a birth-weight-dependent manner,” Journal of Clinical Endocrinology and Metabolism, vol. 95, no. 6, pp. 3048–3056, 2010.
View at: Publisher Site | Google Scholar
J. Zhao, J. Goldberg, J. D. Bremner, and V. Vaccarino, “Global DNA methylation is associated with insulin resistance: A Monozygotic Twin Study,” Diabetes, vol. 61, no. 2, pp. 542–546, 2012.
View at: Publisher Site | Google Scholar
J. Y. Zhao, J. Goldberg, J. D. Bremner, and V. Vaccarino, “Global DNA methylation is associated with insulin resistance: a monozygotic twin study,” Diabetes, vol. 61, no. 2, pp. 542–546, 2012.
View at: Publisher Site | Google Scholar
N. Zhou and J. Liang, “Research progress of epigenetics and MicroRNA in diabetes,” Medical Recapitulate, vol. 18, no. 11, pp. 1732–1734, 2012.
View at: Google Scholar
P. G. Mathen, M. M. Thabah, B. Zachariah et al., “Decreased bone mineral density at the femoral neck and lumbar spine in south indian patients with Type 2 diabetes,” Journal of Clinical and Diagnostic Research, vol. 9, no. 9, pp. C8–C12, 2015.
View at: Google Scholar

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Copyright © 2016 Jun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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