The association of SNP276G>T at adiponectin gene with circulating adiponectin and insulin resistance in response to mild weight loss

Minor alleles in the FTO SNPs contributed to the increased risk of obesity among Korean adults: meta-analysis from nationwide big data-based studies

BACKGROUND/OBJECTIVES

Many studies have revealed an association between fat mass and the obesity-related gene (FTO) and obesity. On the other hand, no meta-analysis was conducted with data from only Koreans. Therefore, this study performed a meta-analysis using Korean data to provide evidence for the association between FTO single nucleotide polymorphisms (SNPs) and the risk of obesity among Korean adults.

SUBJECT/METHODS

Meta-analysis was finally conducted with data extracted from seven datasets of four studies performed on Korean adults after the screening passed. Five kinds of FTO SNPs (rs9939609, rs7193144, rs9940128, rs8050136, and rs9926289) were included, and the relationship between FTO SNPs and body mass index (BMI) was investigated using linear regression with an additive model adjusted for covariants, such as age, sex, and area.

RESULTS

The minor alleles of FTO SNPs were associated with increased BMI (odds ratio [OR], 1.31; 95% confidence interval [CI], 1.21-1.42). In sub-group analysis, FTO rs9939609 T>A was significantly associated with BMI (OR, 1.23; 95% CI, 1.06-1.42). The other FTO SNPs together were significantly associated with BMI (OR, 1.37; 95% CI, 1.25-1.49). The publication bias was not observed based on Egger's test.

CONCLUSIONS

This meta-analysis showed that minor alleles in the FTO SNPs were significantly associated with an increased BMI among Korean adults. This meta-analysis is the first to demonstrate that minor alleles in the FTO SNPs contribute significantly to the increased risk of obesity among Korean adults using data from a Korean population.

Associations of the Polymorphisms in ADIPOQ with Circulating Levels of Adiponectin and Lipids: A Meta-Analysis

The relationships between the rs266729, rs1501299, and rs2241766 polymorphisms in adiponectin gene (ADIPOQ) and circulating levels of adiponectin and lipids remain to be clarified. Databases including PubMed and Embase were searched for eligible studies. The random-effects model was used, and standardized mean difference (SMD) with 95% confidence interval (CI) was calculated to estimate the differences in circulating levels of adiponectin and lipids between the subjects with different genotypes. A total of 12 810, 17 319, and 21 361 subjects were identified in the analyses for the rs266729, rs1501299, and rs2241766 polymorphisms, respectively. G allele carriers of the rs266729 polymorphism had lower levels of adiponectin (SMD=-0.28, 95% CI=-0.43 to-0.12) and high-density lipoprotein cholesterol (HDL-C) (SMD=-0.10, 95% CI=-0.17 to-0.02) than CC homozygotes; T allele carriers of the rs1501299 polymorphism had higher levels of adiponectin (SMD=0.21, 95% CI=0.05 to 0.36) and HDL-C (SMD=0.09, 95% CI=0.04 to 0.15) and lower levels of triglycerides (SMD=-0.06, 95% CI=-0.12 to-0.01) than GG homozygotes; G allele carriers of the rs2241766 polymorphism had lower levels of adiponectin (SMD=-0.18, 95% CI=-0.31 to-0.05) and HDL-C (SMD=-0.12, 95% CI=-0.20 to-0.04) than TT homozygotes. This meta-analysis suggests that the rs266729, rs1501299, and rs2241766 polymorphisms of ADIPOQ are significantly associated with circulating levels of adiponectin and lipids, which may partly explain the associations between these polymorphisms and coronary artery disease.

Influence of Single Nucleotide Polymorphism of ENPP1 and ADIPOQ on Insulin Resistance and Obesity: A Case-Control Study in a Javanese Population

Single nucleotide polymorphisms (SNPs) in obesity-related genes, such as ectonucleotide pyrophosphatase phosphodiesterase 1 (ENPP1) and adiponectin (ADIPOQ), potentially increase the risk of insulin resistance, the most common metabolic dysregulation related to obesity. We investigated the association of ENPP1 SNP K121Q (rs1044498) with insulin resistance and ADIPOQ SNP + 267G > T (rs1501299) with circulating adiponectin levels in a case–control study involving 55 obese and 55 lean Javanese people residing in Yogyakarta, Indonesia. Allele frequency was determined by a chi squared test or Fisher’s exact test with an expected value less than 0.05. Odds ratios and 95% confidence intervals were estimated by regression logistic analysis. The presence of the Q121 allele of ENPP1 resulted in significantly higher fasting glucose, fasting insulin levels, and HOMA-IR, as compared to homozygous K121 carriers. The risk of insulin resistance was elevated in obese individuals carrying Q121 instead of homozygous K121. Adiponectin level was significantly lower in the obese group as compared to the lean group. Obese individuals carrying homozygous protective alleles (TT) of ADIPOQ tended to have lower adiponectin levels as compared to GT and GG carriers, however, we did not find statistically significant effects of the +276G > T SNP of the ADIPOQ gene on the plasma adiponectin levels or on the development of obesity.

Adiponectin Expression and Genotypes in Italian People with Severe Obesity Undergone a Hypocaloric Diet and Physical Exercise Program

Adiponectin exerts positive effects on metabolic and inflammatory processes. Adiponectin levels and some single-nucleotide polymorphisms (SNPs) seem to be associated with obesity. Here, we investigated the effects of a 4-week Hypocaloric diet and Physical exercise Program (HPP) on 268 young people with severe obesity. We evaluated the relationship between adiponectin levels and anthropometric and biochemical parameters, at baseline and after a 4-week HPP. Finally, we investigated some adiponectin gene variants and their correlation to biochemical parameters. Adiponectin levels were statistically lower in people with severe obesity than in controls. At the end of the HPP, all the people with severe obesity showed a Body Mass Index (BMI) reduction with a statistically significant increase in adiponectin levels. Genotyping, the adiponectin gene demonstrated a significant difference in 3 polymorphisms within the people with severe obesity. Besides, c.11377C>G and c.11391G>A homozygous subjects experienced more advantages by HPP. Furthermore, c.268G>A heterozygous subjects showed an enhancement in lipid profile as well in adiponectin levels. The best predictor of the changes in adiponectin levels was represented by the c.268G>A WT allele. Our study confirmed that a 4-weeks HPP in people with severe obesity results in metabolic amelioration associated with a significant increase of adiponectin levels. Importantly, we found that a specific genetic background in the ADIPOQ gene can predispose toward a more significant weight loss.

The effect of single-nucleotide polymorphisms at the ADIPOQ gene locus rs1501299 on metabolic parameters after 9 mo of a high-protein/low-carbohydrate versus a standard hypocaloric diet

OBJECTIVE

Some adiponectin gene (ADIPOQ) single-nucleotide polymorphisms (SNPs) have been related to basal and adiponectin levels and metabolic parameters. The aim of this study was to evaluate the effect of the genetic variant rs1501299 ADIPOQ gene on biochemical changes after weight loss secondary to a high-protein and low-carbohydrate diet versus a standard severe hypocaloric diet over 9 mo as the primary endpoint.

METHODS

A white population of 270 obese patients was enrolled in a randomized clinical trial with two hypocaloric diets (high-protein and low carbohydrate diet [HP] versus standard diet [S]) over 9 mo of intervention. The statistical analysis was performed for the combined GT and TT as a group (T-allele carriers) and GG as second group (non-T-allele carriers). Before and after 12 wk on each hypocaloric diet, an anthropometric evaluation, an assessment of nutritional intake, and a biochemical analysis were realized.

RESULTS

With both dietary interventions, body weight, body mass index (BMI), fat mass, waist circumference, systolic blood pressure, and leptin levels decreased. In non-T-allele carriers after both diets, the decrease in total cholesterol levels -12.3 ± 2.2 mg/dL (T-allele carriers -6.9 ± 2.1 mg/dL; P = 0.01 diet HP) and 12.2 ± 3.1 mg/dL (T-allele carriers -4.7 ± 1.2 mg/dL; P = 0.02 after diet S), low-density lipoprotein cholesterol -13.2 ± 2.7 mg/dL (T-allele carriers -6.1 ± 2.1 mg/dL; P = 0.02 after diet HP) and -9.3 ± 1.8 mg/dL (T-allele carriers -4.8 ± 2.9 mg/dL; P = 0.01 after diet S), triacylglycerol levels -12.7 ± 6.1 mg/dL (T-allele carriers -6 ± 2.9 mg/dL; P = 0.01 after diet HP) and -16.3 ± 7.2 mg/dL (T-allele carriers -5.3 ± 1.4 mg/dL; P = 0.03 after diet S), insulin levels -5 ± 1.1 mUI/L (in T-allele -1.7 ± 0.9 mUI/L; P = 0.02 after diet HP) and -3.2 1.1 mUI/L (T-allele carriers -0.7 ± 0.7 mUI/L; P = 0.02 after diet S), and homeostatic model assessment of insulin resistance levels -0.4 ± 0.2 units (T-allele group -0.1 ± 0.1; P = 0.04 after diet HP) and -0.7 ± 0.1 units (T-allele carriers -0.1 ± 0.5 mg/dL; P = 0.01 after diet S) was higher than T-allele carriers. Only no T-allele carriers showed an increase in adiponectin levels after both diets.

CONCLUSION

After two different hypocaloric diets during 9 mo of intervention, the GG genotype of an ADIPOQ gene variant (rs1501299) is related to better improvement in adiponectin levels, insulin resistance, and lipid profile than T-allele carriers.

Polymorphism Of The APM1 Gene In Subjects With Central Obesity Related To Lower High-Density Lipoprotein Cholesterol

BACKGROUND

Central obesity is a risk factor for metabolic syndrome. Subjects with central obesity have a higher risk of developing type 2 diabetes and cardiovascular disease. Many conditions affect the prevalence of central obesity, including energy expenditure, aging, proinflammatory conditions, and hormonal, genetic, and ethnic differences. Polymorphism of the APM1 gene, encoding the protein adiponectin, is closely related to metabolic syndrome. Adiponectin influences fatty acid oxidation and glucose intake in muscle. Therefore, variation in the APM1 gene is associated with diabetes and obesity.

PURPOSE

The aim of the present study was to investigate the correlation of the single-nucleotide polymorphism (SNP) of the APM1 SNP rs2241766 with body mass index (BMI) and lipid profiles in Indonesian (Bandung) subjects.

PATIENTS AND METHODS

Genotyping of the APM1 gene was performed using the Amplification Refractory Mutation System. Whole blood and serum of 54 subjects with central obesity (waist circumference [WC] ≥90 cm) and 53 healthy subjects (WC <90 cm) were collected. Measurements of the lipid profile (low-density lipoprotein [LDL], high-density lipoprotein [HDL], and total cholesterol [TC]) and BMI were examined.

RESULTS

The TT and GT genotype were observed (no GG genotype) in all subjects. The TC, LDL, fasting blood glucose, and BMI did not show a significant correlation between genotype variations of APM1 with central obesity. Otherwise, subjects with central obesity with the TT genotype had lower HDL levels than those with the GT genotype (p = 0.014, significant OR 1.045; 95% CI).

CONCLUSION

This finding suggests that the T allele of the APM1 SNP rs2241766 is dominant in the Bandung population, and subjects with the homozygous TT genotype have a higher incidence of metabolic disorder.

The association of SNP276G>T at adiponectin gene with insulin resistance and circulating adiponectin in response to two different hypocaloric diets

BACKGROUND

Several adiponectin gene (ADIPOQ) single nucleotide polymorphisms (SNPS) have been related with adiponectin levels and risk for obesity.

OBJECTIVE

The aim of our study was to analyze the effect of rs1501299 ADIPOQ gene polymorphism and dietary intake on total adiponectin levels and insulin resistance after two hypocaloric diets in obese subjects.

MATERIAL AND METHODS

A Caucasian population of 284 obese patients was enrolled in a randomized clinical trial with two hypocaloric diets (I: moderate carbohydrates vs II: low fat). Before and after 12 weeks on each hypocaloric diet, an anthropometric evaluation, an assessment of nutritional intake and a biochemical analysis were realized. The statistical analysis was performed for the combined GT and TT as a group (mutant) and GG as second group (wild) (dominant model).

RESULTS

The genotype distribution was 149 GG, 124 GT and 21 TT. With caloric restriction strategies, body weight, body mass index (BMI), fat mass, waist circumference, systolic blood pressure, total LDL cholesterol, LDL cholesterol and leptin levels decreased. Only in subjects with GG genotype, diet I and II decreased fasting insulin levels, HOMA-IR and adiponectin levels. The improvement was similar with both diets; insulin concentrations (Diet I: -4.7 ± 1.4 mUI/L vs. Diet II: -5.9 ± 1.9 mUI/L: p = .76), HOMA-IR (Diet I: -1.4 ± 0.6 units vs. Diet II: -2.0 ± 0.7 units: p = .56) and adiponectin levels (Diet I: -10.2 ± 3.4 ng/dl vs. Diet II: -14.0 ± 2.9 ng/dl: p = .33).

CONCLUSION

The GG genotype of ADIPOQ gene variant (rs1501299) is associated with an increase in adiponectin levels and a decrease of insulin and HOMA-IR after weight loss.

Heterozygosity for the rs696217 SNP in the Preproghrelin Gene Predicts Weight Loss After Bariatric Surgery in Severely Obese Individuals

BACKGROUND

Several patients encompass a scarce weight loss after Roux-en-Y gastric bypass (RYGB). As such event is not related to surgical complications, finding markers able to identify "well responders" and to predict weight loss outcome is clinically relevant. Ghrelin regulates appetite and energy balance. Common single nucleotide polymorphisms (SNPs) in its encoding genes have been associated with body weight regulation. Other peptides involved in satiety modulation, like the CD40/CD40L complex, are less explored.

METHODS

One hundred, otherwise healthy, obese subjects (aged 45 ± 11 years, 65 females, BMI 48.0 ± 0.7 kg/m²) were sequentially enrolled in years 2014-2015. SNPs rs2241766 for adiponectin gene, rs490683 for ghrelin receptor, rs696217 and rs27647 for the preproghrelin/ghrelin gene, and rs1126535 for the CD40L gene were determined on DNA extracted from circulating lymphomonocytes. Patients were reevaluated at 6 (n = 100), 26 (n = 91), and 52 weeks (n = 79) after RYGB.

RESULTS

Subjects carrying the rs696217 T allele encompassed a significantly greater reduction in BMI 52 weeks after surgery (GG vs GT 30.5 ± 1.1 vs 38.1 ± 2.1 %; p < 0.001). Carrying the rs1126535 C allele in the CD40L gene was associated with a significantly lower BMI reduction at week 52 (TT vs CT 33.2 ± 1.1 vs 28.1 ± 2.3 %, p = 0.049). rs490683 and rs27647 SNPs of ghrelin and rs2241766 for adiponectin gene did not show any difference between carriers and non-carriers of the mutant allele.

CONCLUSION

Carrying a G to T substitution in rs696217 (preproghrelin gene) seems to mark a successful weight loss outcome; we also report for the first time that the rs1126535 C allele (CD40L gene) may predict a worse response to bariatric surgery.

Unravelling the adiponectin paradox: novel roles of adiponectin in the regulation of cardiovascular disease

Adipose tissue (AT) has recently been identified as a dynamic endocrine organ secreting a wide range of adipokines. Adiponectin is one such hormone, exerting endocrine and paracrine effects on the cardiovascular system. At a cellular and molecular level, adiponectin has anti-inflammatory, antioxidant and anti-apoptotic roles, thereby mitigating key mechanisms underlying cardiovascular disease (CVD) pathogenesis. However, adiponectin expression in human AT as well as its circulating levels are increased in advanced CVD states, and it is actually considered by many as a 'rescue hormone'. Due to the complex mechanisms regulating adiponectin's biosynthesis in the human AT, measurement of its levels as a biomarker in CVD is highly controversial, given that adiponectin exerts protective effects on the cardiovascular system but at the same time its increased levels flag advanced CVD. In this review article, we present the involvement of adiponectin in CVD pathogenesis and we discuss its role as a clinical biomarker.

LINKED ARTICLES

This article is part of a themed section on Targeting Inflammation to Reduce Cardiovascular Disease Risk. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.22/issuetoc and http://onlinelibrary.wiley.com/doi/10.1111/bcp.v82.4/issuetoc.

Meta-analysis of the association of ADIPOQ G276T polymorphism with insulin resistance and blood glucose

Insulin resistance (IR) is a major risk for the development of type 2 diabetes (T2D). Numerous studies have been conducted to determine the relationship of ADIPOQ G276T with IR and blood glucose, but the results are conflicting. We conducted a meta-analysis in this work to further investigate such an association. Published works were retrieved from PubMed and Embase databases. A pooled standardized mean difference (SMD) with 95 % confidence interval (CI) was calculated under a dominant model using a random effect model. Twenty-five studies involving 7,480 subjects were included in the meta-analysis. A significant association of G276T polymorphism with homeostasis model assessment insulin resistance index (HOMA-IR) was observed after excluding studies with obvious heterogeneity by performing influence analysis (SMD = -0. 08, 95 % CI -0.15 to -0.01, p = 0.019) and Galbraith plot analysis (SMD = -0.08, 95 % CI -0.14 to -0.02, p = 0.005). In the subgroup analysis, Asians with TG/TT genotypes were found to have a significantly decreased degree of HOMA-IR (SMD = -0.13, 95 % CI -0.20 to -0.07, p < 0.001). The association of G276T with IR or blood glucose for the subgroups (obese, male, and T2D) was also significant. However, the results may not be reliable for small sample sizes. The current meta-analysis suggested that the G276T polymorphism may genetically affect IR using HOMA-IR as an index, and the effect of this polymorphism on IR particularly exists in Asians.

Genetic variation in adipokine genes and associations with adiponectin and leptin concentrations in plasma and breast tissue

BACKGROUND

Circulating adipokines may be associated with breast cancer risk. Genetic variants governing adipokines and adipokine receptors may also predict risk, but their effect on breast adipokine concentrations is unknown.

METHODS

We conducted a cross-sectional analysis of functional SNPs in 5 adipokine genes [adiponectin, leptin (LEP), and their receptors] among 85 cancer-free women who were undergoing reduction mammoplasty.

RESULTS

In multivariable-adjusted regression models, compared with the common GG genotype, the AA genotype of the LEP A19G SNP was associated with 27% lower plasma adiponectin [ratio, 0.73; 95% confidence interval (CI), 0.54-0.98] and leptin (ratio, 0.73; 95% CI, 0.55-0.96). Women with the AG genotype of LEP A19G had 39% lower breast leptin (ratio, 0.61; 95% CI, 0.39-0.97) compared with those with the GG genotype. No associations were observed for SNPs in the remaining genes.

CONCLUSIONS

Genetic variation in LEP may alter endogenous adipokine concentrations in circulation and in breast tissues.

IMPACT

These preliminary findings may support the hypothesis that genetic variation in adipokine genes modifies circulating adipokine concentrations and possibly leptin concentrations in local breast tissues, which may be associated with breast cancer risk.

Association of the ADIPOQ T45G polymorphism with insulin resistance and blood glucose: a meta-analysis

Results of published studies on the association of the ADIPOQ T45G polymorphism with insulin resistance (IR) and blood glucose are conflicting. In this study, we performed a meta-analysis to further investigate such an association. Articles that evaluate the effect of the T45G polymorphism on IR and blood glucose were identified from the PubMed and Embase databases. Five indices, including fasting blood glucose (FBG), fasting insulin (F-insulin), 2-h blood glucose (2-h BG), 2-h insulin, and homeostasis model assessment insulin resistance index (HOMA-IR), were used to assess the effects of the T45G polymorphism on IR and blood glucose under a dominant model. 24 articles involving 7630 subjects were included. Twenty-two studies on FBG, 17 on F-insulin, 20 on HOMA-IR, and 3 on 2-h BG were included. No study on 2-h insulin was found. This meta-analysis revealed no significant association between the ADIPOQ T45G polymorphism and IR and blood glucose in the overall population and subgroup subjects under a dominant model, regardless of whether FBG, F-insulin, 2-h BG, or HOMA-IR was used. The present meta-analysis indicated that the mutation allele may have no function in IR development. The ADIPOQ T45G polymorphism is not associated with IR and blood glucose.

Three adiponectin rs1501299G/T, rs822395A/C, and rs822396A/G polymorphisms and risk of cancer development: a meta-analysis

Many epidemiological studies have studied the associations between adiponectin rs1501299G/T, rs822395A/C, and rs822396A/G polymorphisms and risk of cancer development, while conflicting results have been reported. Therefore, we conducted a meta-analysis to assess the associations. We retrieved the following databases: Medline, Embase, Web of Science, and Wanfang, and the latest update date was 15th of August 2012. Odds ratio (OR) and corresponding 95 % confidence interval (95 % CI) were calculated by using fixed- or random-effect model. Overall, there were 13 case-control studies consisting of 7,902 subjects for adiponectin rs1501299G/T, seven studies consisting of 6,209 subjects for rs822395A/C, and seven studies consisting of 5,791 subjects for rs822396A/G polymorphism in this study. Combined analyses indicated that neither adiponectin rs822395A/C nor rs822396A/G was associated with risk of cancer incidence (OR (95 % CI) 0.91 (0.77-1.77), P z test = 0.26 for CC vs. AA and 0.96 (0.87-1.05) for C carriers vs. A carriers, P z test = 0.33 for rs822395A/C; 0.88 (0.53-1.47) for GG vs. AA, P z test = 0.63 and 0.94 (0.84-1.04) for G carriers vs. A carriers, P z test = 0.24 for rs822396A/G polymorphism). Similarly, combined analysis also indicated that adiponectin rs1501299G/T polymorphism was not associated with risk of cancer development (OR (95 % CI) 0.86 (0.73-1.01) for TT vs. GG, P z test = 0.07 and 1.17 (0.98-1.39), P z test = 0.08). However, when stratified analyses were conducted, the result indicated that T allele was significantly associated with increased cancer risk for Caucasians (OR (95 % CI) 1.28 (1.06-1.64) and P z test = 0.01 for G carriers vs. T carriers) and associated with increased risk of colorectal cancer development while with decreased risk of prostate cancer incidence compared to G allele (OR (95 % CI) 1.34 (1.14-1.57), P z test < 0.01 for G carriers vs. T carriers for colorectal cancer; 0.80 (0.65-0.97), P z test = 0.03 for TG vs. GG for prostate cancer). In summary, this meta-analysis indicated that adiponectin rs1501299G/T, rather than rs822395A/C and rs822396A/G polymorphism, was associated with risk of cancer development, especially for colorectal and prostate cancer.

Obesity susceptibility loci on body mass index and weight loss in Spanish adolescents after a lifestyle intervention

OBJECTIVE

To estimate the contribution of 9 obesity-related polymorphisms and a genetic predisposition score (GPS) on anthropometric and biochemical variables before and after a weight loss intervention program in overweight/obese Spanish adolescents.

STUDY DESIGN

Overweight/obese adolescents (n = 168; 12-16 years) participating in the EVASYON program were genotyped for 9 obesity-related single nucleotide polymorphisms in the FTO, MC4R, TMEM18, IL6, PPARG, and ADIPQ genes.

RESULTS

At baseline, the GPS showed a significant association with body mass index-standard deviation score (BMI-SDS) and fat mass. After 3 months of intervention, this GPS also showed a relationship with the variation of both anthropometric measurements. After adjusting for baseline BMI-SDS, subjects with a lower GPS had a greater improvement on metabolic profile, as well as a better response to physical activity, compared with those subjects with a higher GPS.

CONCLUSIONS

The GPS seems to have an important relationship with BMI-SDS and fat mass both at baseline and after a 3-month weight loss lifestyle intervention. Obese and overweight adolescents with a lower GPS have a greater benefit of weight loss after 3 months of a multidisciplinary lifestyle intervention.

Stitching together multiple data dimensions reveals interacting metabolomic and transcriptomic networks that modulate cell regulation

DNA variation can be used as a systematic source of perturbation in segregating populations as a way to infer regulatory networks via the integration of large-scale, high-dimensional molecular profiling data.

Cells employ multiple levels of regulation, including transcriptional and translational regulation, that drive core biological processes and enable cells to respond to genetic and environmental changes. Small-molecule metabolites are one category of critical cellular intermediates that can influence as well as be a target of cellular regulations. Because metabolites represent the direct output of protein-mediated cellular processes, endogenous metabolite concentrations can closely reflect cellular physiological states, especially when integrated with other molecular-profiling data. Here we develop and apply a network reconstruction approach that simultaneously integrates six different types of data: endogenous metabolite concentration, RNA expression, DNA variation, DNA–protein binding, protein–metabolite interaction, and protein–protein interaction data, to construct probabilistic causal networks that elucidate the complexity of cell regulation in a segregating yeast population. Because many of the metabolites are found to be under strong genetic control, we were able to employ a causal regulator detection algorithm to identify causal regulators of the resulting network that elucidated the mechanisms by which variations in their sequence affect gene expression and metabolite concentrations. We examined all four expression quantitative trait loci (eQTL) hot spots with colocalized metabolite QTLs, two of which recapitulated known biological processes, while the other two elucidated novel putative biological mechanisms for the eQTL hot spots.

It is now possible to score variations in DNA across whole genomes, RNA levels and alternative isoforms, metabolite levels, protein levels and protein state information, protein–protein interactions, and protein–DNA interactions, in a comprehensive fashion in populations of individuals. Interactions among these molecular entities define the complex web of biological processes that give rise to all higher order phenotypes, including disease. The development of analytical approaches that simultaneously integrate different dimensions of data is essential if we are to extract the meaning from large-scale data to elucidate the complexity of living systems. Here, we use a novel Bayesian network reconstruction algorithm that simultaneously integrates DNA variation, RNA levels, metabolite levels, protein–protein interaction data, protein–DNA binding data, and protein–small-molecule interaction data to construct molecular networks in yeast. We demonstrate that these networks can be used to infer causal relationships among genes, enabling the identification of novel genes that modulate cellular regulation. We show that our network predictions either recapitulate known biology or can be prospectively validated, demonstrating a high degree of accuracy in the predicted network.

The challenges for molecular nutrition research 1: linking genotype to healthy nutrition

Nutrition science finds itself at a major crossroad. On the one hand we can continue the current path, which has resulted in some substantial advances, but also many conflicting messages which impair the trust of the general population, especially those who are motivated to improve their health through diet. The other road is uncharted and is being built over the many exciting new developments in life sciences. This new era of nutrition recognizes the complex relation between the health of the individual, its genome, and the life-long dietary exposure, and has lead to the realisation that nutrition is essentially a gene-environment interaction science. This review on the relation between genotype, diet and health is the first of a series dealing with the major challenges in molecular nutrition, analyzing the foundations of nutrition research. With the unravelling of the human genome and the linking of its variability to a multitude of phenotypes from "healthy" to an enormously complex range of predispositions, the dietary modulation of these propensities has become an area of active research. Classical genetic approaches applied so far in medical genetics have steered away from incorporating dietary effects in their models and paradoxically, most genetic studies analyzing diet-associated phenotypes and diseases simply ignore diet. Yet, a modest but increasing number of studies are accounting for diet as a modulator of genetic associations. These range from observational cohorts to intervention studies with prospectively selected genotypes. New statistical and bioinformatics approaches are becoming available to aid in design and evaluation of these studies. This review discusses the various approaches used and provides concrete recommendations for future research.

ADIPOQ Gene Variants Associated with Susceptibility to Obesity and Low Serum Adiponectin Levels in Healthy Koreans

OBJECTIVES

This study aimed to measure the association between the adiponectin, C1Q and collagen domain-containing (ADIPOQ) gene variants and obesity in Koreans.

METHODS

Three single nucleotide polymorphisms located in the ADIPOQ gene were genotyped in a population-based cross-sectional study of 986 healthy Koreans. Three different case-control groups (i.e. G1, G2, and G3) were defined according to body mass index (BMI) and serum adiponectin levels. Allelic and genotypic associations of this gene with obesity were measured using multivariate logistic regression analyses in each group.

RESULTS

The G allele of -11377C>G, a polymorphism located in the promoter region of the ADIPOQ gene (odds ratio (OR), 1.48; 95% confidence interval, 1.13-1.94) and most haplotypes including this allele significantly increased the risk for obesity. However, the OR decreased from 3.98 (G1 group) to 2.90 (G2 group) and 2.30 (G3 group) when a less strict definition of obesity was used. Most haplotypes, including this allele, significantly increased the risk of obesity. The statistical evidence from the GG genotype of -11377C>G (OR, 3.98) and the GT/GT diplotype composed of -11377G>C and +45T>G (OR, 5.20) confirmed the contribution of the G allele toward a predisposition for obesity.

CONCLUSION

These results suggest the contribution of the ADIPOQ gene toward susceptibility to obesity in healthy Koreans. The high-risk genotypes and haplotypes identified here may provide more information for identifying individuals who are at risk of obesity.

Genetic effects of adiponectin on blood lipids and blood pressure

OBJECTIVE

Results from the published studies on the association of adiponectin gene (ADIPOQ) polymorphisms with blood lipids and blood pressure are conflicting. We investigated the association of three ADIPOQ polymorphisms, +45 T > G (rs2241766), +276 G > T (rs1501299) and -11377 C > G (rs266729), with these traits in this meta-analysis.

RESEARCH DESIGN AND METHODS

We included 35 studies in this meta-analysis. Dominant models were used for this meta-analysis.

RESULTS

We did not detect a significant association of the -11377 C > G polymorphism with blood lipids or blood pressure (P > 0·05). The association of the +45 T > G polymorphism with blood lipids and blood pressure was, similarly, not significant (P > 0·05). The meta-analysis suggested a significant overall association of the +276 G > T polymorphism with lower levels of total cholesterol: weighted mean difference (WMD) = -0·10, 95% confidence interval (CI, -0·17, -0·03), P = 0·005, P(heterogeneity)  = 0·04. This association was marginally significant in East Asians and East Asians with type 2 diabetes: WMD = -0·10, 95% CI (-0·20, 0·00), P = 0·05, P(heterogeneity)  = 0·002, and WMD = -0·09, 95% CI (-0·18, -0·00), P = 0·05, P(heterogeneity)  = 0·80, respectively. After exclusion of a study that was the source of heterogeneity, the association was significant in overall populations and marginally significant in East Asians: WMD= -0·06, 95% CI (-0·11, -0·01), P = 0·01, P(heterogeneity)  = 0·98, and WMD = -0·06, 95% CI (-0·12, 0·00), P = 0·07, P(heterogeneity)  = 0·83, respectively. However, none of these associations were significant after Bonferroni correction (significant threshold: P < 0·003).

CONCLUSIONS

Our meta-analysis does not suggest any association of the three ADIPOQ polymorphisms with blood lipids and blood pressure.

Association of genetic variants in the adiponectin encoding gene (ADIPOQ) with type 2 diabetes in Japanese Brazilians

AIM

The objective of this study is to assess the contribution of ADIPOQ variants to type 2 diabetes in Japanese Brazilians.

METHODS

We genotyped 200 patients with diabetes mellitus (100 male and 100 female, aged 55.0 years [47.5-64.0 years]) and 200 control subjects with normal glucose tolerant (NGT) (72 male and 128 female, aged 52.0 years [43.5-64.5 years]).

RESULTS

Whereas each polymorphism studied (T45G, G276T, and A349G) was not significantly associated with type 2 diabetes mellitus, the haplotype GGA was overrepresented in our diabetic population (9.3% against 3.1% in NGT individuals, P=.0003). Also, this haplotype was associated with decreased levels of adiponectin. We also identified three mutations in exon 3: I164T, R221S, and H241P, but, owing to the low frequencies of them, associations with type 2 diabetes could not be evaluated. The subjects carrying the R221S mutation had plasma adiponectin levels lower than those without the mutation (2.10 microg/ml [1.35-2.55 microg/ml] vs. 6.68 microg/ml [3.90-11.23 microg/ml], P=.015). Similarly, the I164T mutation carriers had mean plasma adiponectin levels lower than those noncarriers (3.73 microg/ml [3.10-4.35 microg/ml] vs. 6.68 microg/ml [3.90-11.23 microg/ml]), but this difference was not significant (P=.17).

CONCLUSIONS

We identified in the ADIPOQ gene a risk haplotype for type 2 diabetes in the Japanese Brazilian population.

Association of the +45T>G and +276G>T polymorphisms in the adiponectin gene with insulin resistance in nondiabetic Greek women

OBJECTIVE

We explored potential associations of two single nucleotide polymorphisms (SNPs) in the adiponectin gene (ADIPOQ; +45T>G, rs2241766 and +276G>T, rs1501299) with circulating total and high-molecular weight (HMW) adiponectin, insulin resistance (IR), and markers of obesity in a healthy Greek female population.

DESIGN AND METHODS

The two SNPs were genotyped in 349 women without diabetes (mean age: 47.0+/-12.1 years, mean body mass index: 28.9+/-5.6 kg/m(2)). Total and HMW adiponectin concentrations, body composition variables, IR parameters, and plasma lipid levels were determined.

RESULTS

In single SNP analysis adjusting for several potential confounders, SNP +276G>T was associated with higher fasting insulin levels (P=0.01) and higher homeostasis model assessment index for IR (HOMA-IR; P=0.009), and SNP +45T>G was associated with lower insulin levels and HOMA-IR (P=0.05 and P=0.07 respectively). No association with total or HMW adiponectin, plasma lipid levels, and body composition variables was observed; however, haplotype analysis revealed that subjects homozygous for the most common +45T/+276G haplotype had lower total adiponectin levels than did noncarriers of this haplotype (P=0.02). The observed differences in HOMA-IR were very significant among women with a higher body fat (BF) percentage (>or= the population median of 41%; all P<or=0.005), but not among leaner individuals (P for interactions 0.01-0.07), thus suggesting that ADIPOQ effects on insulin sensitivity may depend upon BF status.

CONCLUSION

Our data suggest a significant role of ADIPOQ variants at positions +45 and +276 in the development of IR in healthy Greek women possibly through an interaction with BF.

The relationship of insulin resistance with SNP 276G>T at adiponectin gene and plasma long-chain polyunsaturated fatty acids in obese children

This study examined the association of insulin resistance with single-nucleotide polymorphism (SNP) 276G>T at adiponectin gene and the plasma long-chain polyunsaturated fatty acids (LCPUFAs) profile in obese children. One hundred thirty-one normolipidaemic obese children aged 8-13 y (53 girls and 68 boys) entered the study. The prevalence of T allele carriers at SNP276 was 48.8%. Mean [SD] values of fasting insulin and homeostasis model assessment-insulin resistance (HOMA-IR) index in noncarriers versus carriers of T allele were 12.4 [6.4] versus 20.6 [6.3] muU/mL (p = 0.039) and 2.6 [1.4] versus 4.5 [1.7] (p = 0.032). Mean [SD] values of plasma C18:3n - 3, C20:5n - 3/C20:4n - 6, and n - 6/n - 3 LCPUFA in phospholipids in noncarriers versus carriers of T allele were 0.10 [0.04] versus 0.08 [0.03] % (p = 0.013), 0.04 [0.01] versus 0.03 [0.01] % (p = 0.045), and 4.4 [0.7] versus 4.9 [0.9] % (p = 0.005), respectively. Insulin resistance was independently associated with SNP 276G>T (p = 0.002) and n - 6/n - 3 LCPUFA (p = 0.042) in plasma phospholipids, and interaction was found between SNP 276G>T and n - 6/n - 3 LCPUFA (p = 0.046). These findings suggest that obese children carriers of the SNP 276G>T may be at increased risk of metabolic complications compared with noncarriers, possibly due in part to a different plasma phospholipids profile.

Adiponectin gene single-nucleotide polymorphisms and treatment response to obesity

BACKGROUND

In the adiponectin gene polymorphisms, single-nucleotide polymorphism (SNP)-45 and SNP276 have reportedly been associated with obesity, Type 2 diabetes, and other features of metabolic syndrome.

AIM

Whether these adiponectin SNP affect obesity-related parameters during caloric restriction in obese subjects.

SUBJECTS AND METHODS

Thirty- two obese Japanese women were treated by meal replacement with a low calorie diet for 8 weeks and asked to maintain their habitual lifestyle. Obesity-related parameters were measured before and after the treatment period. We determined four SNP (T45G, I164T, G276T, and C-11377G) using a fluorescent allele-specific DNA primer assay systemand FRET probe assay system.

RESULTS

After the treatment, the extent of decrease in waist circumference was greater in the subjects with the G/G or G/T genotype of SNP276 than in those with the T/T genotype (p=0.026). As for SNP45, the extent of decrease in triglyceride levels was greater in the subjects with the T/T genotype than in those with the T/G genotype (p=0.003). For SNP-11377, the extent of decrease in systolic blood pressure and fasting plasma glucose was greater in the subjects with the C/G or G/G genotype than in those with the C/C genotype (p=0.044).

CONCLUSION

Our findings indicate that each SNP in the adiponectin gene might modify the change in obesity-related parameters during meal replacement with a low calorie diet.

Influence of adiponectin gene polymorphisms on adiponectin level and insulin resistance index in response to dietary intervention in overweight-obese patients with impaired fasting glucose or newly diagnosed type 2 diabetes

OBJECTIVE

The aim of this study was to determine the effect of common adiponectin gene polymorphisms on dietary intervention-mediated changes in adiponectin levels and homeostasis model assessment of insulin resistance (HOMA-IR) indexes.

RESEARCH DESIGN AND METHODS

A total of 363 subjects with impaired fasting glucose (IFG) or newly diagnosed type 2 diabetes followed a dietary intervention (replacement of cooked refined rice with whole grains and an increase in vegetable intake) and regular walking for 12 weeks without any medication. Adiponectin gene single nucleotide polymorphisms (SNPs) (45, 276, and -11377) were examined in these subjects.

RESULTS

After this dietary intervention, fasting glucose levels decreased in all three SNP 45T>G genotype groups. Subjects with the SNP 45TT genotype showed increased adiponectin levels and decreased HOMA-IR indexes. Haplotype analysis revealed that homozygous carriers of the TG haplotype (45TT and 276GG) and heterozygous carriers of the TG haplotype (TG/X) showed a reduction in the HOMA-IR index after adjustment for baseline levels. Significant differences were observed in changes in HOMA-IR indexes and adiponectin concentrations according to the 45-276 TG haplotype in overweight-obese, but not in normal-weight subjects: the greatest decrease in HOMA-IR indexes and the greatest increase in adiponectin levels were shown in overweight-obese subjects with the TG/TG haplotype.

CONCLUSIONS

ADIPOQ genetic variants can affect circulating adiponectin levels and insulin resistance indexes in subjects with IFG or newly diagnosed type 2 diabetes in response to dietary intervention.

Enhanced short-term improvement of insulin response to a low-caloric diet in obese carriers the Gly482Ser variant of the PGC-1alpha gene

AIM

The Gly482Ser missense mutation of the transcriptional coactivator, peroxisome proliferator-activated receptor-gamma coactivator-1alpha (PGC-1alpha) has been involved in insulin function impairments, with conflicting results. The current study investigated the relationships of carrying this polymorphism with insulin resistance (IR) during a short-term weight-loss and the subsequent weight follow-up.

METHODS

The Gly482Ser was genotyped in 180 Spanish volunteers [body mass index: 31.4+/-3.2kg/m(2); age: 35+/-5 years]. Specific phenotypical measurements were determined at baseline, following an 8-week low-calorie diet (LCD) as well as after 6-month and 1-year of follow-up.

RESULTS

At baseline the Ser482Ser genotype was associated with higher HOMA-IR and insulin concentrations than the other genotypes (p<0.05), which was accompanied by an increased higher risk of IR (OR: 2.97; 95% CI: 1.24-7.15). After following the LCD, such increased risk of insulin insensitivity in Ser482Ser carriers was toned down (p>0.05). This outcome was sustained after 6-month and 1-year of follow-up (p>0.05).

CONCLUSIONS

These data show an increased risk of IR in obese carrying the rs8192673 Ser482Ser genotype. This risk was markedly reduced by an energy-restricted diet, which was sustained 6 months and 1 year after the diet therapy. This observation allows identifying obese subjects who might personally profit most from an energy-restrictive treatment concerning insulin response and lead to more individualized prognostic and therapeutic decisions.

Diet/genetic interactions and their effects on inflammatory markers

The importance of a healthy diet to living well is well recognized. A growing array of experimental, epidemiological, and clinical studies have revealed an association between pro-inflammatory responses and the progression of numerous serious disease states, including the metabolic syndrome, type 2 diabetes, and cardiovascular diseases. Further studies have established a "diet/genetic interaction" that further modulates markers of inflammation, producing both positive and negative effects, depending on the net changes in gene expression. Yet, there are few studies that reveal the mechanisms underlying this modulation of the inflammatory response. Highlighted here are several such recent and ongoing studies that investigate the mechanisms underlying the effects of diet/genetic interactions on inflammatory biomarkers, followed by a discussion of to what extent these interactions may translate into healthier aging and increased longevity. Whether these interactions translate into healthier aging and increased longevity remains to be determined; however, the prospects are enticing.

Adiponectin levels are reduced, independent of polymorphisms in the adiponectin gene, after supplementation with alpha-linolenic acid among healthy adults

Our first aim was to determine whether an isocaloric intervention using alpha-linolenic acid (ALA) in the form of flaxseed oil would alter adiponectin levels among overweight, otherwise healthy, males and females, and our second aim was to test for any potential modification of this intervention by 2 single nucleotide polymorphisms (276 and 45) in the adiponectin gene. Subjects included healthy adult males and females (approximately 81% female; average age, 38 years) with increased waist circumference (mean, 99 cm) and body mass index (mean, 30 kg/m(2)) who were free of chronic disease, not taking medications, and sedentary. Subjects met weekly with a registered dietician for 8 weeks. The control subjects (n = 27) were instructed not to alter their habitual diet and the ALA group (n = 30) was instructed to follow an enriched ALA diet by using flaxseed oil capsules (increasing ALA to 5% of total energy intake) and to lower their dietary fat consumption by a commensurate amount. Diets were analyzed using the Food Intake and Analysis System (v. 3.0, University of Texas School of Public Health, 1998). Fasting blood samples were obtained before and after the 8-week intervention. We found significant decreases (P = .02) in adiponectin (10.12 microg/mL pre, 9.23 microg/mL post) in the ALA group as compared with the control group (7.93 microg/mL pre, 8.10 microg/mL post) after the intervention. We also saw a decline in adiponectin in all genotype groups with the greatest decline among those carrying the rare T allele of single nucleotide polymorphism 276. There were no significant changes in fasting insulin, glucose, or quantitative insulin sensitivity check index values as a result of this intervention. In conclusion, this study suggests that supplementing with ALA for 8 weeks may lower adiponectin levels among healthy individuals, and this effect appears to be independent of polymorphisms in the adiponectin gene. Although the change in adiponectin in response to the omega-3 fatty acids was not accompanied by any change in glucose, insulin, or quantitative insulin sensitivity check index, long-term implications of such a decrease should be considered in future studies.

Adiponectin SNP276 is associated with obesity, the metabolic syndrome, and diabetes in the elderly

BACKGROUND

Genetic variations of the human adiponectin gene are associated with metabolic phenotypes, including obesity, insulin sensitivity, and diabetes. However, these associations have not been examined in an elderly population.

OBJECTIVE

The objective of the study was to investigate whether the genetic variants of adiponectin are associated with any metabolic phenotype in the elderly.

DESIGN

In a population-based, case-control genetic association study, a total of 1438 subjects >65 y old were recruited from the community. The phenotypes of the metabolic syndrome (MetS) were measured. Four single-nucleotide polymorphisms (SNP) were genotyped by mass spectrometry.

RESULTS

The G allele of SNP276 in intron 2 was associated with a reduced risk of obesity, MetS, and diabetes mellitus. The GT genotype relative to the GG genotype had an age- and sex-adjusted odds ratio of 1.32 for obesity [body mass index (BMI; in kg/m(2)) >or= 25; P = 0.014] and of 1.33 (P = 0.011) and 1.47 (P = 0.001) for MetS according to modified National Cholesterol Education Program and International Diabetes Federation criteria, respectively. The age-, sex-, and BMI-adjusted odds ratio of diabetes mellitus for the GT and TT genotypes relative to the GG genotype were 1.28 (P = 0.042) and 1.72 (P = 0.013), respectively, and there was an obvious dosage effect (P for trend = 0.004). In linear regression after adjustment for age, sex, and BMI, the GT and TT genotypes were associated with fasting plasma glucose concentrations 5.2 and 11.1 mg/dL higher, respectively, than those of the GG genotype.

CONCLUSIONS

Genetic variation of the adiponectin gene is associated with obesity, MetS, and diabetes mellitus in the elderly. The genetic effect on diabetes mellitus is partially independent of BMI.