Snps in FNDC5 (Irisin) Are Associated with Obesity and Modulation of Glucose and Lipid Metabolism in Saudi Subjects Nasser M
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Al-Daghri et al. Lipids in Health and Disease (2016) 15:54 DOI 10.1186/s12944-016-0224-5 RESEARCH Open Access SNPs in FNDC5 (irisin) are associated with obesity and modulation of glucose and lipid metabolism in Saudi subjects Nasser M. Al-Daghri1,2*, Abdul Khader Mohammed1,2, Omar S. Al-Attas1,2, Osama E. Amer1,2, Mario Clerici3, Amal Alenad4 and Majed S. Alokail1,2 Abstract Background: Irisin is a recently identified myokine that plays an important role in preventing obesity and insulin resistance. We investigated whether the common FNDC5 (irisin precursor) gene variants influence susceptibility to obesity and type 2 diabetes (T2D) and verified the impact of FNDC5 gene variants on serum irisin levels, glucose and lipid metabolism in a Saudi population. Methods: Genomic DNA from 814 (394 T2DM and 414 controls) subjects were genotyped for the five common SNPs (rs3480A/G, rs1746661G/T, rs1298190A/G, rs726344A/G and rs1570569G/T) of the FNDC5 gene using the TaqMan genotyping assay. Biochemical parameters and hematic concentrations of irisin and insulin as well as anthropometric indices were collected. Results: Serum irisin levels were higher in T2DM patients compared to controls (p < 0.0001). Analyses of FNDC5 SNPs showed that: 1) The rs3480 GG associates with decreased risk of obesity (p = 0.005; odds ratio: 0.48) and lower body mass index (BMI) values (p = 0.03). In addition, GGAAG was identified as the protective haplotype against risk of obesity (p = 0.001; odds ratio: 0.23). 2) The rs1746661 G allele associates with higher triglyceride (TG) levels (p = 0.019). 3) The rs157069 TT genotype associates with higher fasting insulin (p = 0.029) and HOMA-IR (p = 0.002) as well as with lower circulating irisin levels (p = 0.016). Conclusions: SNPs in FNDC5 gene correlates with obesity and glucose-lipid metabolism possibly because they modulate the serum levels of irisin. Keywords: Obesity, Type 2 diabetes, Irisin, Triglyceride, Insulin, SNPs Background respectively, and the cross-talk between them is critical Obesity and insulin resistance play important roles in for body weight and metabolism [5]. Adipose tissue is the pathogenesis of type 2 diabetes mellitus (T2DM) and composed of two distinct compartments; white adipose are associated with cardiovascular disease [1, 2]. Imbal- tissue (WAT) and brown adipose tissue (BAT). WAT is ance between energy intake and energy expenditure may involved in the regulation of energy homeostasis through cause individuals to be underweight, overweight, or the storage of excess energy, whereas BAT exert a obese [3, 4]. Both skeletal muscle and adipose tissue thermogenic activity, and regulates body temperature by have been shown to function as endocrine organs by se- dissipating energy through heat production [6, 7]. Thus, creting hormones called myokines and adipokines, browning of adipose tissue is hypothesized to improve insulin sensitivity and decrease weight gain [4]. * Correspondence: [email protected] Irisin, a newly described exercise-mediated myokine 1Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry regulates energy metabolism by converting white into Department, College of Science, King Saud University, PO Box, 2455, Riyadh brown fat, may contribute to muscle-adipose tissue 11451, Saudi Arabia 2Biomarkers Research Program, Biochemistry Department, College of Science, cross-talk [5, 8]. Irisin is produced upon cleavage of the King Saud University, Riyadh 11451, Saudi Arabia precursor plasma membrane protein fibronectin type III Full list of author information is available at the end of the article © 2016 Al-Daghri et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Al-Daghri et al. Lipids in Health and Disease (2016) 15:54 Page 2 of 8 domain-containing protein 5 (FNDC5) and enters the cir- All the analyzed SNPs (rs3480, rs1746661, rs1570569 culation [9]. In rodents, overexpression of adenoviral and rs1298190) were in Hardy-Weinberg equilibrium in FNDC5 in high-fat diet fed mice results in increased en- our population (p > 0.05) except rs726344. The role of ergy expenditure, improved obesity (reduced body weight) these common FNDC5 gene variants in predisposition and insulin resistance [10]. Furthermore, irisin is reported to T2DM was analyzed next by multiple logistic regres- to be involved in the pathogenesis of several complications sion model using age, gender, and BMI as covariates. Re- of obesity including dyslipidemia, T2DM, arterial hyper- sults indicated that none of these SNPs were associated tension and metabolic Syndrome [11]. However, there are with T2DM (Table 2). We then analyzed the distribution discrepancies regarding the relation of irisin especially of these SNPs in two BMI-based subgroups, namely, with obesity and T2DM. In some studies, a positive obese or lean. Logistic regression indicated that the association was detected between irisin levels and rs3480 GG genotype is protective against obesity (p = BMI [9, 12, 13], while others reported null [14, 15] or 0.005; OR, 0.48; 95 % CI, 0.28-0.79) (Table 3). This was a negative correlation [11, 12, 16]. From the above men- confirmed by a significant association of the same GG tioned studies, it is evident that either irisin or its precur- genotype of rs3480 with lower BMI values (p = 0.03) sor (FNDC5) has a role to play in pathogenesis of (Table 4). In addition, the distribution frequencies of metabolic diseases, including diabetes and obesity. rs3480 _G + rs1746661_G + rs1298190 _A + rs726344 Until now, only three previous genetic studies have in- _A + rs1570569_G (i.e. GGAAG) haplotype was signifi- vestigated the association of common SNPs in FNDC5 cantly different in obese compared to lean individuals; with obesity [17], insulin sensitivity [18] and glucose me- notably, this haplotype is significantly associated with tabolism [19]. Because of the pivotal role of irisin/ reduced obesity risk (p = 0.001; OR, 0.23; 95 % CI, 0.10– FNDC5 in obesity, insulin resistance and T2DM, we aim 0.53) (Table 5). However, no such differences were to evaluate a possible role of five FNDC5 polymorphisms observed in T2DM group for any of the examined (rs3480A/G, rs1746661G/T, rs1298190A/G, rs726344A/ haplotypes (Table 5). G and rs1570569G/T) in obesity and T2DM phenotypes To determine the effect of FNDC5 SNPs on clinical from Saudi Arabia, a region with a high prevalence of and biochemical parameters, we analyzed the distribu- both conditions [20, 21]. In addition, we examined tion of these variables in relation to the various geno- whether FNDC5 gene variants has any influence on types. After controlling for age, gender, BMI and serum irisin expression and clinical traits related to glu- T2DM, we observed that the rs1746661 G allele was sig- cose and lipid metabolism. nificantly associated with higher triglycerides (TG) levels (p = 0.019) (Table 4). Similarly, the rs3480 AA genotype Results was associated with higher HDL-Cholesterol levels. The anthropometric, clinical and biochemical features of Finally, the rs1570569 TT genotype was significantly asso- individuals enrolled in the study are presented in Table 1. ciated with higher fasting serum insulin (p =0.029) and Table 1 Anthropometric and metabolic characteristics of subjects Group Sub-group Variables T2DM Non-T2DM Obese Lean (N = 394) (N = 420) (N = 293) (N = 264) Male/Female 234/160 188/232 121/172 150/114 Age (years) 53.5 ± 11.2 44.3 ± 12.7** 47.8 ± 11.12 48.4 ± 14.9 BMI (kg/m2) 29.5 ± 6.0 27.2 ± 5.3** 34.9 ± 4.39 21.7 ± 2.8** Systolic BP (mmHg) 128.8 ± 15.1 117 ± 14.0** 125.4 ± 14.2 119 ± 14.3** Diastolic BP (mmHg) 80.6 ± 9.2 77.1 ± 10.1** 79.7 ± 10.2 75.4 ± 7.7** Total Cholesterol (mmol/l) 5.3 ± 1.17 5.0 ± 1.17** 5.18 ± 1.1 5.17 ± 1.2 Triglycerides (mmol/l) 1.7 ± 0.6 1.3 ± 0.56** 1.5 ± 0.57 1.45 ± 0.61* Glucose (mmol/l) 10.1 ± 3.59 5.1 ± 0.93** 10.1 ± 3.59 5.1 ± 0.93* HDL-Cholesterol (mmol/) 0.85 ± 0.34 0.92 ± 0.40* 0.90 ± 0.37 0.87 ± 0.39 LDL-Cholesterol (mmol/) 3.63 ± 1.0 3.56 ± 1.0 3.60 ± 1.0 3.56 ± 1.0 Insulin (μIU/mL) 15.08 ± 9.0 15.9 ± 9.1 17.6 ± 9.4 10.6 ± 6.3** HOMA-IR 6.88 ± 5.5 3.7 ± 2.35** 6.35 ± 4.4 3.0 ± 2.1** Note: “**” denotes p < 0.001, “*” represents p < 0.01. Independent sample t-test was used to compute the difference between studied groups. Data were presented as mean ± standard deviation. Insulin and HOMA-IR are log transformed prior to analysis. Insulin and HOMA-IR values were available for 392 subjects Al-Daghri et al. Lipids in Health and Disease (2016) 15:54 Page 3 of 8 Table 2 Genotype distribution in T2DM vs Non-T2DM subjects Table 3 Genotype distribution in obese vs Non-obese subjects T2DM (%) Non-T2DM (%) Odds ratio (95 CI) P-value Obese (%) Non-obese (%) Odds ratio (95 CI) P-value rs3480 A/G rs3480 A/G GG 78 (20.7) 88 (21.5) 1.29 (0.82–2.03) 0.26 GG 49 (17.2) 66 (25.8) 0.48 (0.28–0.79) 0.005 AG 181 (48.1) 186 (45.4) 1.34 (0.93–1.94) 0.11 AG 136 (47.7) 117 (45.7) 0.76 (0.50–1.15) 0.20 AA 117 (31.1) 136 (32.2) 1.0 1.0 AA 100 (35.1) 73 (28.5) 1.0 1.0 rs1746661 G/T rs1746661 G/T TT 27 (7.2) 25