Association of RBP4 Gene Variants and Serum HDL Cholesterol Levels in the Newfoundland Population

Retinol‐binding protein 4 (RBP4) is a novel adipokine that likely contributes to systemic insulin resistance and dyslipidemia. The role of genetic variations in RBP4 on phenotypes of glucose and lipid metabolism is not clear in humans. The purpose of this study was to examine five single‐nucleotide polymorphisms (SNPs) in the RBP4 gene to determine their relationship with markers of insulin resistance and serum lipids in the CODING Study. The CODING Study consists of 1,836 subjects recruited from the genetically homogeneous population of Newfoundland and Labrador (NL), Canada. Serum glucose, insulin, homeostasis model assessment of insulin resistance (HOMA_IR), HOMA for β cell function (HOMA_β), total cholesterol (Chol), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), and triglycerides were determined after a 12‐h fast. Five SNPs within RBP4 (rs3758539, G/A 5′ flanking region; rs61461737, A/G intron; rs10882280, C/A intron; rs11187545, A/G intron; and rs12265684, C/G intron) were genotyped using TaqMan validated or functionally tested SNP genotyping assays. After correcting for multiple testing, we observed a significant association between the minor allele of two noncoding SNPs (rs10882280 and rs11187545) and higher serum HDL‐C (P = 0.043 and 0.042, respectively). No significant associations were observed with any other parameter related to lipid metabolism. We also found no significant association between any variant sites and markers of insulin resistance. Our results suggest that genetic variations in RBP4 may play a role in the differences in serum HDL‐C levels in the NL population.     

ADIPOQ Polymorphisms,Monounsaturated Fatty Acids,and Obesity Risk: The GOLDN Study

Serum adiponectin levels have been positively associated with insulin sensitivity and are decreased in type 2 diabetes (T2D) and obesity. Genetic and environmental factors influence serum adiponectin and may contribute to risk of metabolic syndrome and T2D. Therefore, we investigated the effect of ADIPOQ single‐nucleotide polymorphisms (SNPs), ?11377C>G and ?11391G>A, on metabolic‐related traits, and their modulation by dietary fat in white Americans. Data were collected from 1,083 subjects participating in the Genetics of Lipid Lowering Drugs and Diet Network study. Mean serum adiponectin concentration was higher for carriers of the ?11391A allele (P = 0.001) but lower for the ?11377G allele carriers (P = 0.017). Moreover, we found a significant association with obesity traits for the ?11391G>A SNP. Carriers of the ?11391A allele had significantly lower weight (P = 0.029), BMI (P = 0.019), waist (P = 0.003), and hip circumferences (P = 0.004) compared to noncarriers. Interestingly, the associations of the ?11391G>A with BMI and obesity risk were modified by monounsaturated fatty acids (MUFAs) intake (P‐interaction = 0.021 and 0.034 for BMI and obesity risk, respectively). In subjects with MUFA intake above the median (≥13% of energy intake), ?11391A carriers had lower BMI (27.1 kg/m² for GA+AA vs. 29.1 kg/m² for GG, P = 0.002) and decreased obesity risk (odds ratio for ?11391A = 0.52, 95% confidence interval (CI); 0.28–0.96; P = 0.031). However, we did not detect genotype‐related differences for BMI or obesity in subjects with MUFA intake <13%. Our findings support a significant association between the ?11391G>A SNPs and obesity‐related traits and the potential to moderate such effects using dietary modification.     

Differential promoter activities of functional haplotypes in the 5′‐flanking region of human Sulfotransferase 1A1

Previously, we reported five common single nucleotide polymorphisms (SNPs), ?624G>C, ?396G>A, ?358A>C, ?341C>G, and ?294T>C, and six common haplotypes (CGACT, GAACT, GGAGC, GGACC, CAACT, and GAACC) in the 5′‐flanking region of the SULT1A1 gene that were associated with altered enzymatic activity. In the present study, we performed in vitro assays to determine the functional impact of these genetic variations on the promoter activity. Dual luciferase reporter assays revealed that these SNPs are located in a negative regulatory fragment of the SULT1A1 gene. Further experiments demonstrated that these SNPs and haplotypes affected promoter activities of SULT1A1. Electrophoretic mobility shift assays showed distinctive binding patterns for the SNPs ‐396G>A and ‐294T>C, due to differential binding affinities of the G/A alleles and the T/C alleles to nuclear proteins extracted from the liver carcinoma cell lines, HepG2 and Huh7. © 2012 Wiley Periodicals, Inc. J Biochem Mol Toxicol 26:422–428, 2012; View this article online at wileyonlinelibrary.com . DOI 10:1002/jbt.21437     

Influence of age on the association of retinol-binding protein 4 with metabolic syndrome

Objective: The relationships of retinol‐binding protein 4 (RBP4) with insulin sensitivity and body fat distribution have been investigated in a few recent studies with conflicting results. This may have been due to differences in ages of the subjects in the different studies. The aim of this study was to investigate whether the association of RBP4 and insulin sensitivity and percent trunk fat are influenced by age. Methods and Procedures: Cross‐sectional analyses of 48 young subjects and 55 elderly subjects. Insulin sensitivity was determined by a hyperinsulinemic–euglycemic clamp. Body fat distribution was determined by a dual‐energy X‐ray absorptiometry (DXA). Results: In the young subjects, RBP4 levels were associated with insulin sensitivity (r = ?0.30, P = 0.04), percent trunk fat (r = 0.54, P < 0.001), triglycerides (r = 0.44, P = 0.003), low‐density lipoprotein (r = 0.38, P = 0.01). In contrast, in the elderly subjects there was no correlation between RBP4 levels and insulin sensitivity (r = ?0.18, P = 0.20), percent trunk fat (r = 0.00, P = 0.10), triglycerides (r = 0.25, P = 0.10), and low‐density lipoprotein (r = ?0.11, P = 0.47). Discussion: The associations of RBP4 with insulin sensitivity, percent trunk fat, and lipid levels are influenced by age.     

Common Genetic Variants in Fatty Acid–Binding Protein‐4 (FABP4) and Clinical Diabetes Risk in the Women's Health Initiative Observational Study

Adipocypte fatty acid–binding protein‐4 (FABP4/adipocyte P2) may play a central role in energy metabolism and inflammation. In animal models, defects of the aP2 gene (aP2^?/?) partially protected against the development of obesity‐related insulin resistance, dyslipidemia, and atherosclerosis. However, it is unclear whether common genetic variation in FABP4 gene contributes to risk of type 2 diabetes (T2D) or diabetes‐related metabolic traits in humans. We comprehensively assess the genetic associations of variants in the FABP4 gene with T2D risk and diabetes‐associated biomarkers in a prospective study of 1,529 cases and 2,147 controls among postmenopausal women aged 50–79 years who enrolled in the Women's Health Initiative Observational Study (WHI‐OS). We selected and genotyped a total of 11 haplotype‐tagging single‐nucleotide polymorphisms (tSNPs) spanning 41.3 kb across FABP4 in all samples. None of the SNPs and their derived haplotypes showed significant association with T2D risk. There were no significant associations between SNPs and plasma levels of inflammatory and endothelial biomarkers, including C‐reactive protein, tumor necrosis factor (TNF), interleukin‐6 (IL‐6), E‐selectin, and intercellular adhesion molecule (ICAM‐1). Among African‐American women, several SNPs were significantly associated with lower levels of vascular cell adhesion molecule‐1 (VCAM‐1), especially among those with incident T2D. On average, plasma levels of VCAM‐1 were significantly lower among carriers of each minor allele at rs1486004(C/T; ?1.08 ng/ml, P = 0.01), rs7017115(A/G; ?1.07 ng/ml, P = 0.02), and rs2290201(C/T; ?1.12 ng/ml, P = 0.002) as compared with the homozygotes of the common allele, respectively. After adjusting for multiple testing, carriers of the rs2290201 minor allele remained significantly associated with decreasing levels of plasma VCAM‐1 in these women (P = 0.02). In conclusion, our finding from a multiethnic cohort of postmenopausal women did not support the notion that common genetic variants in the FABP4 gene may trigger increased risk of T2D. The observed significant association between reduced VCAM‐1 levels and FABP4 genotypes in African‐American women warrant further confirmation.     

Association of single nucleotide polymorphism in melatonin receptor 1A gene with egg production traits in Yangzhou geese

In the present study the melatonin receptor 1A gene (MTNR1A) was proposed to be a candidate gene for egg production in Yangzhou geese. A total of 210 goose blood samples were collected to investigate the association of the MTNR1A gene with the number of eggs produced. Using a direct sequencing method, a single nucleotide polymorphism (SNP; g.177G>C) was detected in the 5? regulatory region of the MTNR1A gene (Genbank ss1985399687). Two alleles (G and C) and three genotypes were identified. Association analysis results showed that the g.177G>C SNP significantly affected the level of egg production within a 34‐week egg‐laying period (P < 0.05). Furthermore, the geese with the GG genotype produced significantly more eggs compared to the geese with the CC genotype. Quantitative real‐time PCR analysis showed that the MTNR1A gene was highly expressed in small intestine, granulosa cell and ovary compared to other examined tissues. In addition, the mRNA expression level of MTNR1A in ovary indicated that significantly higher expression levels were recorded for geese with the GG genotype compared to those with the CC genotype. Moreover, a luciferase reporter assay showed that the CC genotype had significantly lower promoter activity than did GG. These results suggest that the identified SNP in the MTNR1A gene may influence the number of eggs produced and mRNA expression levels in Yangzhou geese and could be considered as a useful molecular marker in goose selection and improvement, especially for egg production.     

Adipocytes IGFBP‐2 Expression in Prepubertal Obese Children

Aims of the study were to measure insulin‐like growth factor‐binding protein‐2 (IGFBP‐2) expression by abdominal subcutaneous adipocytes and to assess the relationship between IGFBP‐2 expression, circulating IGFBP‐2, obesity, and insulin sensitivity in obese children. Thirty‐eight obese children were recruited. Insulin sensitivity was assessed by intravenous glucose tolerance test and body composition by total‐body dual‐energy X‐ray absorptiometry. Serum free and total IGF‐I, IGFBP‐2, adiponectin, and leptin were measured. Relative quantification of IGFBP‐2 mRNA by subcutaneous adipose tissue biopsies was obtained using real‐time PCR. Circulating IGFBP‐2 was positively associated with insulin sensitivity, in agreement with previous studies. IGFBP‐2 expression was associated with fat mass percentage (r = 0.656; P < 0.02), insulin sensitivity (r = ?0.604; P < 0.05), free IGF‐I (r = 0.646; P < 0.05), and leptin (r = 0.603; P < 0.05), but not with circulating IGFBP‐2 (r = 0.003, P = ns). The association between IGFBP‐2 expression and adiposity (r = 0.648; P < 0.05) was independent of insulin sensitivity (covariate). In conclusion, circulating IGFBP‐2 was positively associated with insulin sensitivity. IGFBP‐2 was expressed by subcutaneous abdominal adipocytes of obese children and increased with adiposity, independently from the level of insulin sensitivity. IGFBP‐2 expression may potentially be one of the local mechanisms used by adipocytes to limit further fat gain.     

Genetic risk variants for dyslexia on chromosome 18 in a German cohort

Dyslexia is characterized by impaired reading and spelling. The disorder has a prevalence of about 5% in Germany, and a strong hereditary component. Several loci are thought to be involved in the development of dyslexia. Scerri et al. identified eight potential dyslexia‐associated single nucleotide polymorphisms (SNPs) in seven genes on chromosome 18 in an English‐speaking population. Here, we present an association analysis that explores the relevance of these SNPs in a German population comprising 388 dyslexia cases and 364 control cases. In case–control analysis, three nominal SNP associations were replicated. The major alleles of NEDD4L‐rs12606138 and NEDD4L‐rs8094327 were risk associated [odds ratio (OR) = 1.35, 95% confidence interval (CI) = 1.0–1.7, P‐value = 0.017 and OR = 1.39, 95% CI = 1.1–1.7, P‐value = 0.007, respectively], and both SNPs were in strong linkage disequilibrium (r² = 0.95). For MYO5B‐rs555879, the minor allele was risk associated (OR = 1.31, 95% CI = 1.1–1.6, P‐value = 0.011). The combined analysis of SNP sets using set enrichment analysis revealed a study‐wide significant association for three SNPs with susceptibility for dyslexia. In summary, our results substantiate genetic markers in NEDD4L and MYO5B as risk factors for dyslexia and provide first evidence that the relevance of these markers is not restricted to the English language .