Person:

Qi, Lu

OBJECTIVE—To examine the longitudinal association of fat mass–and obesity-associated (FTO) variant with obesity, circulating adipokine levels, and FTO expression in various materials from human and mouse. RESEARCH DESIGN AND METHODS—We genotyped rs9939609 in 2,287 men and 3,520 women from two prospective cohorts. Plasma adiponectin and leptin were measured in a subset of diabetic men (n = 854) and women (n = 987). Expression of FTO was tested in adipocytes from db/db mice and mouse macrophages. RESULTS—We observed a trend toward decreasing associations between rs9939609 and BMI at older age (≥65 years) in men, whereas the associations were constant across different age groups in women. In addition, the single nucleotide polymorphism (SNP) rs9939609 was associated with lower plasma adiponectin (log[e]− means, 1.82 ± 0.04, 1.73 ± 0.03, and 1.68 ± 0.05 for TT, TA, and AA genotypes, respectively; P for trend = 0.02) and leptin (log[e]− means, 3.56 ± 0.04, 3.63 ± 0.04, and 3.70 ± 0.06; P for trend = 0.06) in diabetic women. Adjustment for BMI attenuated the associations. FTO gene was universally expressed in human and mice tissues, including adipocytes. In an ancillary study of adipocytes from db/db mice, FTO expression was ∼50% lower than in those from wild-type mice. CONCLUSIONS—The association between FTO SNP rs9939609 and obesity risk may decline at older age. The variant affects circulating adiponectin and leptin levels through the changes in BMI. In addition, the expression of FTO gene was reduced in adipocytes from db/db mice.

OBJECTIVE: Phobic anxiety has been associated with increased risk of cardiovascular disease (CVD), but the underlying mechanisms are poorly understood. We aimed to determine whether associations of phobic anxiety with several known markers of CVD might be contributors. RESEARCH DESIGN AND METHODS: We used a 16-point validated index (Crown-Crisp) measured in 1988 to categorize 984 women with type 2 diabetes from the Nurses' Health Study as having low, moderate, or high phobic anxiety. Groups were then compared for differences in adipokines (adiponectin and leptin), inflammatory markers (C-reactive protein and tumor necrosis factor [TNF]-α receptor II), and markers of endothelial function (sE-selectin, soluble intercellular adhesion molecule [sICAM]-1) measured on blood samples provided between 1989 and 1990. RESULTS: Higher levels of phobic anxiety were associated with higher BMI and lower education. Higher levels of phobic anxiety were also associated with higher leptin and soluble TNF-α receptor II in both crude analyses and after adjustment for potential confounders. sICAM and sE-selectin were higher in the highest tertile compared with the middle tertile, but there was no significant trend across tertiles. We found no association between phobic anxiety and adiponectin. CONCLUSIONS: High levels of phobic anxiety are associated with increased levels of leptin and inflammatory markers, which may in part explain the previously observed relationship between anxiety and other psychosocial disorders with CVD.

The INSIG2 rs7566605 polymorphism was identified for obesity (BMI≥30 kg/m2) in one of the first genome-wide association studies, but replications were inconsistent. We collected statistics from 34 studies (n = 74,345), including general population (GP) studies, population-based studies with subjects selected for conditions related to a better health status (‘healthy population’, HP), and obesity studies (OB). We tested five hypotheses to explore potential sources of heterogeneity. The meta-analysis of 27 studies on Caucasian adults (n = 66,213) combining the different study designs did not support overall association of the CC-genotype with obesity, yielding an odds ratio (OR) of 1.05 (p-value = 0.27). The I2 measure of 41% (p-value = 0.015) indicated between-study heterogeneity. Restricting to GP studies resulted in a declined I2 measure of 11% (p-value = 0.33) and an OR of 1.10 (p-value = 0.015). Regarding the five hypotheses, our data showed (a) some difference between GP and HP studies (p-value = 0.012) and (b) an association in extreme comparisons (BMI≥32.5, 35.0, 37.5, 40.0 kg/m2 versus BMI less than;25 kg/m2) yielding ORs of 1.16, 1.18, 1.22, or 1.27 (p-values 0.001 to 0.003), which was also underscored by significantly increased CC-genotype frequencies across BMI categories (10.4% to 12.5%, p-value for trend = 0.0002). We did not find evidence for differential ORs (c) among studies with higher than average obesity prevalence compared to lower, (d) among studies with BMI assessment after the year 2000 compared to those before, or (e) among studies from older populations compared to younger. Analysis of non-Caucasian adults (n = 4889) or children (n = 3243) yielded ORs of 1.01 (p-value = 0.94) or 1.15 (p-value = 0.22), respectively. There was no evidence for overall association of the rs7566605 polymorphism with obesity. Our data suggested an association with extreme degrees of obesity, and consequently heterogeneous effects from different study designs may mask an underlying association when unaccounted for. The importance of study design might be under-recognized in gene discovery and association replication so far.

To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist–hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR) was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9×(10^{-11})) and MSRA (WC, P = 8.9×(10^{-9})). A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6×(10^{-8})). The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity.

OBJECTIVE—Recent genome-wide association studies (GWASs) related common variants in the interleukin-6 (Il-6) receptor (IL6R) gene to plasma C-reactive protein (CRP) concentrations. Because IL6R variants were previously associated with IL-6 levels, we tested whether the associations with CRP were independent of IL-6 and the interactions between IL6R variants and CRP in relation to diabetes risk. RESEARCH DESIGN AND METHODS—Plasma CRP and IL-6 levels and 10 IL6R polymorphisms were determined in a nested case-control study of 633 diabetic and 692 healthy Caucasian women. RESULTS—In both nondiabetic and diabetic women, IL6R polymorphisms were associated with plasma CRP levels, independent of IL-6 concentration. After adjustment of IL-6 levels, CRP concentrations in the genotype AA, AC, and CC of the GWAS polymorphism rs8192284 were 0.32, 0.26, and 0.24 pg/ml, respectively, among nondiabetic women (P for trend = 0.003; false discovery rate [FDR] = 0.01) and 0.63, 0.48, and 0.43 pg/ml among diabetic women (P for trend less than 0.0001; FDR = 0.0001). Haplotypes inferred from polymorphisms within a linkage disequilibrium block including rs8192284 were also significantly associated with CRP levels (P = 0.0002). In an exploratory analysis, rs8192284 showed significant interactions with CRP levels in relation to diabetes risk (P for interaction = 0.026). The odds ratios across increasing quartiles of CRP were 2.19 (95% CI 1.42–3.36), 2.03 (1.27–3.23), and 2.92 (1.77–4.82) in the carriers of allele-C and 2.21 (1.18–4.12), 3.77 (1.87–7.57), and 5.02 (2.4–10.5) in the noncarriers. CONCLUSIONS—IL6R variants were significantly associated with plasma CRP, independent of IL-6 levels. IL6R variants may interact with CRP in predicting diabetes risk.

Background: Increased activation of the renin-angiotensin system (RAS) may be important in promoting coronary heart disease (CHD) and renal dysfunction, but limited data are available on associations between angiotensin type 1 receptor (AGT1R) and angiotensinogen (AGT) genotypes in type 2 diabetes. Methods: Study participants were diabetics from the Health Professionals Follow-Up Study (HPFS) and the Nurses' Health Study (NHS). We analyzed single nucleotide polymorphisms (SNPs) associated with cardiovascular pathophysiology (including AGT1R T573C, AGT1R A1166C, and AGT M235T) and presence of renal dysfunction (eGFR<60 ml/min/1.73 m2) or history of CHD. Results: The AGT1R 1166 C-allele was associated with eGFR<60 ml/min/1.73 m2 (multivariable OR 1.63 [1.01, 2.65]) in the HPFS men (n = 733) and in the combined dataset (n = 1566) (OR 1.42 [1.02, 1.98]). The AGT1R 1166 C-allele was also associated with CHD in men (OR 1.57 [1.10, 2.24]). In NHS women (n = 833), AGT 235T-allele was associated with CHD (OR 1.72 [1.20, 2.47]). Removal of hypertension from the fully adjusted models did not influence results, suggesting that the associations may not be mediated by hypertension. There were significant interactions between sex and AGT1R 1166 C-allele (p = 0.008) and AGT M235T (p = 0.03) in models for CHD. No significant associations were seen between AGT1R T573 C-allele and renal dysfunction or CHD. Conclusion: Polymorphisms in AGT1R and AGT genes are associated with renal dysfunction and CHD in type 2 diabetes and further support the important role of the RAS in these complications. Sex may modify associations between AGT1R 1166 C-allele and AGT 235T and CHD in type 2 diabetes.