Metabolic Syndrome-related Traits Research Articles

Aminotransferases as causal factors for metabolic syndrome: A bidirectional Mendelian randomization study.

Circulating aminotransferases (ALT and AST) have been used as biomarkers for liver injury. The causal relationships between aminotransferases and metabolic syndrome remain ambiguous. We conducted bidirectional and multivariable Mendelian randomization (MR) analyses between aminotransferases and traits related to metabolic syndrome using genetic variants obtained from genome-wide association studies (GWASs). MR-PRESSO tests were adopted to remove outliers and eliminate pleiotropy. MR steiger tests were conducted to ensure the correct direction of the causal effects. Both aminotransferases were risk factors for essential hypertension. ALT is a risk factor for type 2 diabetes. The bidirectional causal relationship between ALT and hyperglycemia, serum lipids, and obesity was demonstrated. The effect of fasting glucose on AST was demonstrated, while type 2 diabetes did not affect AST. The effect of HDL-C on ALT and the effect of triglycerides on AST were found in multivariable MR analyses. Our bidirectional MR analyses suggest that ALT and AST are causally associated with several metabolic syndrome-related traits, especially hypertension and type 2 diabetes. These findings highlight the potential role of aminotransferases as biomarkers and therapeutic targets for metabolic syndrome.

Relationships between body fat distribution and metabolic syndrome traits and outcomes: A mendelian randomization study.

Obesity is a complex, multifactorial disease associated with substantial morbidity and mortality worldwide. Although it is frequently assessed using BMI, many epidemiological studies have shown links between body fat distribution and obesity-related outcomes. This study examined the relationships between body fat distribution and metabolic syndrome traits using Mendelian Randomization (MR). Genetic variants associated with visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT), and gluteofemoral adipose tissue (GFAT), as well as their relative ratios, were identified from a genome wide association study (GWAS) performed with the United Kingdom BioBank. GWAS summary statistics for traits and outcomes related to metabolic syndrome were obtained from the IEU Open GWAS Project. Two-sample MR and BMI-controlled multivariable MR (MVMR) were performed to examine relationships between each body fat measure and ratio with the outcomes. Increases in absolute GFAT were associated with a protective cardiometabolic profile, including lower low density lipoprotein cholesterol (β: -0.19, [95% CI: -0.28, -0.10], p < 0.001), higher high density lipoprotein cholesterol (β: 0.23, [95% CI: 0.03, 0.43], p = 0.025), lower triglycerides (β: -0.28, [95% CI: -0.45, -0.10], p = 0.0021), and decreased systolic (β: -1.65, [95% CI: -2.69, -0.61], p = 0.0019) and diastolic blood pressures (β: -0.95, [95% CI: -1.65, -0.25], p = 0.0075). These relationships were largely maintained in BMI-controlled MVMR analyses. Decreases in relative GFAT were linked with a worse cardiometabolic profile, with higher levels of detrimental lipids and increases in systolic and diastolic blood pressures. A MR analysis of ASAT, GFAT, and VAT depots and their relative ratios with metabolic syndrome related traits and outcomes revealed that increased absolute and relative GFAT were associated with a favorable cardiometabolic profile independently of BMI. These associations highlight the importance of body fat distribution in obesity and more precise means to categorize obesity beyond BMI.

Chinese Prescription Kangen-karyu against Metabolic Syndrome: Successful Treatment of Three Patients

Metabolic syndrome is the cluster of diseases, which is manifested by central obesity, impaired glucose tolerance, lipodystrophy, and high blood pressure. These metabolic syndrome-related traits significantly increase the risk of type 2 diabetes, adverse cardiac events, stroke, and hepatic steatosis. In the past decade, several organizations have proposed different diagnostic criteria. The use of traditional Chinese medicine to treat metabolic syndrome has received increasing attention due to its wide availability. In this paper, we report a case of three patients with metabolic syndrome with improved administration of 7.5 g of Kangen-karyu extract per day for 6 months. We present and discuss evidence supporting the possibility of using Kangenkaryu for metabolic syndrome.

Genetic evidence for independent causal relationships between metabolic biomarkers and risk of coronary artery diseases

Decades of epidemiological research have identified numerous risk factors and biomarkers that are associated with risk of coronary artery disease (CAD) and myocardial infarction. The most well recognized of these are circulating levels of total cholesterol, LDL-cholesterol, HDL-cholesterol, and triglycerides, as well as metabolic syndrome-related traits, such as obesity, hypertension, and T2D (1). However, the association of a biomarker with CAD in observational studies does not necessarily prove a causal relationship.

The metabolic network coherence of human transcriptomes is associated with genetic variation at the cadherin 18 locus

Metabolic coherence (MC) is a network-based approach to dimensionality reduction that can be used, for example, to interpret the joint expression of genes linked to human metabolism. Computationally, the derivation of ‘transcriptomic’ MC involves mapping of an individual gene expression profile onto a gene-centric network derived beforehand from a metabolic network (currently Recon2), followed by the determination of the connectivity of a particular, profile-specific subnetwork. The biological significance of MC has been exemplified previously in the context of human inflammatory bowel disease, among others, but the genetic architecture of this quantitative cellular trait is still unclear. Therefore, we performed a genome-wide association study (GWAS) of MC in the 1000 Genomes/ GEUVADIS data (n = 457) and identified a solitary genome-wide significant association with single nucleotide polymorphisms (SNPs) in the intronic region of the cadherin 18 (CDH18) gene on chromosome 5 (lead SNP: rs11744487, p = 1.2 × 10− 8). Cadherin 18 is a transmembrane protein involved in human neural development and cell-to-cell signaling. Notably, genetic variation at the CDH18 locus has been associated with metabolic syndrome-related traits before. Replication of our genome-wide significant GWAS result was successful in another population study from the Netherlands (BIOS, n = 2661; lead SNP), but failed in two additional studies (KORA, Germany, n = 711; GENOA, USA, n = 411). Besides sample size issues, we surmise that these discrepant findings may be attributable to technical differences. While 1000 Genomes/GEUVADIS and BIOS gene expression profiles were generated by RNA sequencing, the KORA and GENOA data were microarray-based. In addition to providing first evidence for a link between regional genetic variation and a metabolism-related characteristic of human transcriptomes, our findings highlight the benefit of adopting a systems biology-oriented approach to molecular data analysis.

Heritability, parental transmission and environment correlation of pediatric-onset type 2 diabetes mellitus and metabolic syndrome-related traits.

To estimate the heritability, parental transmission and environmental contributions to the phenotypic variation in type 2 diabetes mellitus and metabolic syndrome-related traits in families of Mexican children and adolescents. We performed a cross-sectional study of 184 tri-generational pedigrees with a total of 1160 individuals (99 families with a type 2 diabetes mellitus proband before age 19). The family history of type 2 diabetes mellitus in three generations was obtained by interview. Demographic, anthropometric, biochemical and lifestyle information was corroborated in parents and offspring. We obtained correlations for metabolic traits between relative pairs, and variance component methods were used to determine the heritability and environmental components. The heritability of early-onset of type 2 diabetes mellitus was 0.50 (p<1.0e-7). The heritability was greater than 0.5 for hypertension, hypoalphalipoproteinemia, hypercholesterolemia, body mass index, waist circumference, blood pressure, 2-h insulin, and cholesterol (p<0.001). In contrast, we observed a high environmental correlation (>0.50) for blood pressure, HbA1c and HDL-cholesterol after multivariate adjustment (p<0.05). Several traits, such as type 2 diabetes mellitus and insulin resistance, were significantly correlated only through the mother and others, such as hypertriglyceridemia, were significantly correlated only through the father. This study demonstrates that type 2 diabetes mellitus and metabolic syndrome-related traits are highly heritable among Mexican children and adolescents. Furthermore, several cardiometabolic factors have strong heritability and/or high environmental contributions that highlight the complex architecture of these alterations.

Adiponectin Levels and Longitudinal Changes in Metabolic Syndrome: The Healthy Twin Study.

We investigated the association of plasma adiponectin levels with longitudinal changes in metabolic syndrome and the metabolic syndrome-related traits [insulin and homeostasis model assessment of insulin resistance (HOMA-IR)], as well as their genetic and environmental correlations. A total of 1030 Koreans (380 men and 650 women; 44.0 ± 12.7 years old) without diabetes of the Healthy Twin Study visited at baseline (2005-2010) and returned for a follow-up examination 3.7 ± 1.2 years later. Baseline plasma adiponectin, metabolic syndrome components [waist circumference (WC), glucose, blood pressure, high-density lipoprotein cholesterol (HDL-C), and triglycerides (TGs)] and metabolic syndrome-related traits were measured at baseline and follow-up. After adjusting for age, sex, smoking, alcohol consumption, physical activity, caloric intake, education level, body mass index (BMI), family history of diabetes, and changes in BMI, 1 standard deviation increment in baseline adiponectin levels was associated with 38-63% lower odds of incident and persistent metabolic syndrome. After additionally adjusting for the baseline levels of each trait, baseline adiponectin levels were inversely associated with WC, blood pressure, insulin, HOMA-IR, and TGs values at follow-up. After adjusting for age, sex, and baseline values of each trait or sum of metabolic syndrome components, baseline adiponectin levels exhibited significantly inverse genetic and environmental correlations with insulin, HOMA-IR, and HDL-C values and the sum of metabolic syndrome components at follow-up. High adiponectin levels reduce the risk of developing metabolic syndrome and having persistent metabolic syndrome and increase of metabolic syndrome-related traits over time. These associations may be explained by pleiotropic genetic mechanisms.

Genotype by energy expenditure interaction with metabolic syndrome traits: the Portuguese healthy family study.

Moderate-to-high levels of physical activity are established as preventive factors in metabolic syndrome development. However, there is variability in the phenotypic expression of metabolic syndrome under distinct physical activity conditions. In the present study we applied a Genotype X Environment interaction method to examine the presence of GxEE interaction in the phenotypic expression of metabolic syndrome. A total of 958 subjects, from 294 families of The Portuguese Healthy Family study, were included in the analysis. Total daily energy expenditure was assessed using a 3 day physical activity diary. Six metabolic syndrome related traits, including waist circumference, systolic blood pressure, glucose, HDL cholesterol, total cholesterol and triglycerides, were measured and adjusted for age and sex. GxEE examination was performed on SOLAR 4.3.1. All metabolic syndrome indicators were significantly heritable. The GxEE interaction model fitted the data better than the polygenic model (p<0.001) for waist circumference, systolic blood pressure, glucose, total cholesterol and triglycerides. For waist circumference, glucose, total cholesterol and triglycerides, the significant GxEE interaction was due to rejection of the variance homogeneity hypothesis. For waist circumference and glucose, GxEE was also significant by the rejection of the genetic correlation hypothesis. The results showed that metabolic syndrome traits expression is significantly influenced by the interaction established between total daily energy expenditure and genotypes. Physical activity may be considered an environmental variable that promotes metabolic differences between individuals that are distinctively active.

Heritability of metabolic syndrome traits in a large population-based sample

Heritability estimates of metabolic syndrome traits vary widely across studies. Some studies have suggested that the contribution of genes may vary with age or sex. We estimated the heritability of 11 metabolic syndrome-related traits and height as a function of age and sex in a large population-based sample of twin families (N = 2,792-27,021, for different traits). A moderate-to-high heritability was found for all traits [from H(2) = 0.47 (insulin) to H(2) = 0.78 (BMI)]. The broad-sense heritability (H(2)) showed little variation between age groups in women; it differed somewhat more in men (e.g., for glucose, H(2) = 0.61 in young females, H(2) = 0.56 in older females, H(2) = 0.64 in young males, and H(2)= 0.27 in older males). While nonadditive genetic effects explained little variation in the younger subjects, nonadditive genetic effects became more important at a greater age. Our findings show that in an unselected sample (age range, ~18-98 years), the genetic contribution to individual differences in metabolic syndrome traits is moderate to large in both sexes and across age. Although the prevalence of the metabolic syndrome has greatly increased in the past decades due to lifestyle changes, our study indicates that most of the variation in metabolic syndrome traits between individuals is due to genetic differences.

Association of common variants in JAK2 gene with reduced risk of metabolic syndrome and related disorders.

BackgroundDisturbances in leptin and insulin signaling pathways are related to obesity and metabolic syndrome (MS) with increased risk of diabetes and cardiovascular disease. Janus kinase 2 (JAK2) is a tyrosine kinase involved in the activation of mechanisms that mediate leptin and insulin actions. We conducted a population cross-sectional study to explore the association between two common variants in JAK2 gene and MS related traits in 724 Argentinean healthy male subjects.MethodsA total of 724 unrelated men aged 37.11 ± 10.91 yr were included in a cross-sectional study. Physical examination, anthropometric measurements and biochemical analysis were determined by a standardized protocol. rs7849191 and rs3780378 were genotyped. Analyses were done separately for each SNP and followed up by haplotype analysis.Resultsrs7849191 and rs3780378 were both associated with reduced risk of MS [p = 0.005; OR (95%CI) = 0.52 (0.33-0.80) and p = 0.006; OR (95% CI) = 0.59 (0.40-0.86) respectively, assuming a dominant model]. rs3780378 T allele was associated with triglyceridemia values under 150 mg/dl [p = 0.007; OR (95%CI) = 0.610 (0.429-0.868)] and TT carriers showed lower triglycerides (p = 0.017), triglycerides/HDL-C ratio (p = 0.022) and lipid accumulation product (p = 0.007) compared to allele C carriers. The two-SNPs-haplotype analysis was consistent with single locus analysis.ConclusionsIt was found for the first time, significant associations of JAK2 common variants and related haplotypes with reduced risk of MS. These findings could be explained by the role of JAK2 in insulin and/or leptin signaling.

Sexual dimorphism in clock genes expression in human adipose tissue.

This study was carried out to investigate whether sex-related differences exist in the adipocyte expression of clock genes from subcutaneous abdominal and visceral fat depots in severely obese patients. We investigated 16 morbidly obese patients, eight men and eight women (mean age 45 ± 20 years; mean BMI 46 ± 6 kg/m(2)), undergoing laparoscopic gastric bypass surgery. Biopsies were taken as paired samples [subcutaneous and visceral adipose tissue (AT)] at the beginning of the surgical process at 11:00 h in the morning. Metabolic syndrome features such as waist circumference, plasma glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were also studied. The expression of clock genes (PER2, BMAL1, and CRY1) was measured by quantitative real-time PCR, Western blot, and immunohistochemical analysis. Gene expression was significantly higher in women than in men for the three genes studied in both ATs (P < 0.05). In visceral fat, these differences were more marked. (P < 0.001). Western blot analysis partially confirmed these results since statistical differences were observed for PER2 in both ATs and for CRY1 in subcutaneous adipose tissue. There were no differences in BMAL1 protein expression. Interestingly, clock gene expression level was correlated with LDL-C and HDL-C (P < 0.05). Moreover, we found significant associations with body fat mass in women and with age in men. Clock genes expression is sex dependent in human adipose tissue from morbidly obese subjects and correlates to a decreased in metabolic syndrome-related traits. These preliminary results make necessary to go deep into the knowledge of the molecular basis of the sexual dimorphism in chronobiology.

Metabolic syndrome-related composite factors over 5 years in the STANISLAS Family Study: Genetic heritability and common environmental influences

BackgroundWe estimated genetic heritability and common environmental influences for various traits related to metabolic syndrome in young families from France. MethodsAt entrance and after 5years, nineteen traits related to metabolic syndrome were measured in a sample of families drawn from the STANISLAS study. In addition, 5 aggregates of these traits were identified using factor analysis. ResultsAt entrance, genetic heritability was high (20 to 44%) for plasma lipids and lipoproteins, uric acid, fasting glucose, and the related clusters “risk lipids” and “protective lipids”. Intermediate or low genetic heritability (less than 20%) was shown for triglycerides, adiposity indices, blood pressure, hepatic enzyme activity, inflammatory makers and the related clusters: “liver enzymes”, “adiposity/blood pressure” and “inflammation”. Moreover, common environmental influences were significant for all the parameters. With regard to 5-year changes, polygenic variance was low and not statistically significant for any of the individual variables or clusters whereas shared environment influence was significant. ConclusionsIn these young families, genetic heritability of metabolic syndrome-related traits was generally lower than previously reported while the common environmental influences were greater. In addition, only shared environment contributed to short-term changes of these traits.

The linkage and association of the gene encoding upstream stimulatory factor 1 with type 2 diabetes and metabolic syndrome in the Chinese population

The transcription factor upstream stimulatory factor 1 (USF1) regulates the expression of genes involved in glucose and lipid metabolism and has been associated with familial combined hyperlipidaemia. USF1 is located on chromosome 1q22-23, a region with evidence for linkage to type 2 diabetes and various traits of the metabolic syndrome in Chinese and other populations. The aim of this study was to investigate the linkage and association of USF1 with type 2 diabetes and the metabolic syndrome in Chinese individuals. We genotyped three haplotype-tagging single nucleotide polymorphisms (SNPs) (rs3737787, rs2516841 and rs2516839) at USF1 in three samples of the Hong Kong Chinese population, including members of 179 families from the Hong Kong Family Diabetes Study, 1,383 hospital cases with type 2 diabetes and/or the metabolic syndrome and 454 normal control subjects. We found significant association of individual polymorphisms and haplotypes with type 2 diabetes and/or metabolic syndrome-related traits in the family samples using either family-based or unrelated normal control subjects. However, these variants could not explain much of the evidence for linkage in this region. Moreover, they were not associated with type 2 diabetes and/or the metabolic syndrome in the hospital cases. The results are consistent with the hypothesis that variation at USF1 contributes to the risk of type 2 diabetes and the metabolic syndrome in families with strong evidence for linkage in the chromosome 1q region. However, they provide little support for USF1 as the susceptibility locus that generates the observed evidence for linkage at 1q21-25 for type 2 diabetes and/or the metabolic syndrome, and USF1 does not appear to have a major contribution to these phenotypes in the general Chinese population.

Effects of the peroxisome proliferator-activated receptor-γ co-activator-1 Gly482Ser variant on features of the metabolic syndrome

Factors influencing the severity of the metabolic syndrome among obese subjects or the conversion to cardiovascular disease or type 2 diabetes (T2D) remain largely unknown, but there is strong evidence for genetic susceptibilities. Peroxisome proliferator-activated receptor-γ co-activator-1 (PPARGC1) is a transcriptional co-activator of many nuclear receptors including PPAR-γ, involved in the regulation of fatty acid oxidation, skeletal muscle fiber type specificity, and gluconeogenesis. Given the critical role of PPARGC1, it becomes a promising candidate gene for the metabolic syndrome and T2D. This study aimed to investigate whether genetic variations in human PPARGC1 gene are associated with metabolic syndrome-related phenotypes and T2D among obese subjects. Molecular screening of the PPARGC1 gene in 24 morbidly obese French-Canadians revealed 13 variants. Eight genetic variations were in introns: c.55-27T > A, c.234 + 52C > A, c.553-40A > G, c.553-11T > C, c.757 + 161T > C, c.1793 + 19C > G, c.2141 + 192G > A, and c.2293+146A > G, and five were in coding regions: Thr394Thr, Asp475Asp, Gly482Ser, Thr528Thr, and Thr612Met with a relative allele frequency of 18.5, 5.2, 37.0, 42.5, and 6.8%, respectively. Thr394Thr, Asp475Asp, and Thr528Thr were in linkage disequilibrium with the Gly482Ser variant, the only non-synonymous variant with a relative allele frequency of more than 10%. Association studies were performed with the Gly482Ser variant. In non-diabetics, we compared between genotype differences in metabolic syndrome-related traits (waist girth, SBP, DBP, triglycerides, HDL-cholesterol (C), and fasting glucose levels). There was a difference in mean plasma HDL-C concentrations, the Gly/Gly group had lower concentrations than the Gly/Ser group ( P < 0.05). These results suggest that the Gly482Ser polymorphism may explain some of the between-obese variance observed in metabolic syndrome-related traits.

Increasing the Protein:Carbohydrate Ratio in a High-Fat Diet Delays the Development of Adiposity and Improves Glucose Homeostasis in Mice

Dietary fat is considered an important contributing factor in the obesity epidemic, and high-fat diets are used widely to induce obesity and diabetes-related traits in susceptible rodent strains. Little attention, however, is usually paid to the interaction of fat with the other macronutrients. The aim of this study, therefore, was to investigate the effects of high-fat, isoenergetic diets with different protein:carbohydrate (CHO) ratios on obesity, energy metabolism, and glucose homeostasis in mice. Male adult C57BL/6J mice consumed ad libitum for 10 wk a control diet (41:42:17 ratio of CHO:protein:fat, 15.5 kJ/g) or 2 different high-fat diets: high carbohydrate (HC; 41:16:43, 17.7 kJ/g) or low carbohydrate (LC; 11:45:44, 17.5 kJ/g). Body weight and fat gains were rapid and were greater in HC mice than in other groups due to an initial pronounced hyperphagia and subsequent passive overconsumption. Weight and fat gains were less in LC mice but still greater than in controls. Energy expenditure was not affected by the diets, and total energy intake explained 84% of the variation in final body weight. The respiratory quotient was lower in LC mice than in other groups, indicating high fat oxidation rates due to the LC diet. Blood glucose was lower and insulin sensitivity greater in LC mice than in HC mice. We conclude that increasing the protein:CHO ratio in a high-fat diet delays but does not prevent the development of adiposity. However, glucose homeostasis was improved in LC mice, indicating that a combination of high fat and high CHO is responsible for the development of metabolic syndrome-related traits in mice.

Quantitative Trait Locus Mapping of Genetic Modifiers of Metabolic Syndrome and Atherosclerosis in Low-Density Lipoprotein Receptor-Deficient Mice

The purpose of this study was to examine genetic factors responsible for metabolic syndrome and atherosclerosis in a setting of low-density lipoprotein (LDL) receptor deficiency in a cross between C57BL/6J (B6) and PERA/Ei (PERA) inbred mouse strains. Comparison of metabolic phenotypes in B6 and PERA strains revealed the PERA genetic background to be dramatically more susceptible to hyperleptinemia, hyperglycemia, hypertriglyceridemia, elevated insulin levels, and body fat increase than the B6 background. To facilitate genetic analysis, metabolic syndrome-related traits and atherosclerotic lesion area were measured in 167 [(PERAxB6.129S7-Ldlr(tm1Her))xB6.129S7-Ldlr(tm1Her)]N2 male and female backcross mice that were homozygous for the Ldlr null allele. Quantitative trait locus analysis was performed using 153 polymorphic microsatellite markers spanning the genome. On chromosome 4, we identified a locus influencing plasma triglyceride, insulin, and leptin concentrations, body weight, and atherosclerosis. Several other genetic loci were identified with separate effects on plasma insulin, body weight, high-density lipoprotein cholesterol, and atherosclerosis. The PERA strain is highly susceptible to the development of metabolic syndrome after feeding a Western-type diet. This susceptibility is due, in part, to a locus on murine chromosome 4 in which PERA alleles predispose to adiposity, increased insulin, and accelerated atherogenesis in the absence of marked hyperlipidemia.

Genetic variation in BEACON influences quantitative variation in metabolic syndrome-related phenotypes.

The BEACON gene (also known as UBL5) was identified as differentially expressed between lean and obese Psammomys obesus, a polygenic animal model of obesity, type 2 diabetes, and dyslipidemia. The human homologue of BEACON is located on chromosome 19p, a region likely to contain genes affecting metabolic syndrome-related quantitative traits as established by linkage studies. To assess whether the human BEACON gene may be involved in influencing these traits, we exhaustively analyzed the complete gene for genetic variation in 40 unrelated individuals and identified four variants (three novel). The two more common variants were tested for association with a number of quantitative metabolic syndrome-related traits in two large cohorts of unrelated individuals. Significant associations were found between these variants and fat mass (P = 0.026), percentage of fat (P = 0.001), and waist-to-hip ratio (P = 0.031). The same variants were also associated with total cholesterol (P = 0.024), LDL cholesterol (P = 0.019), triglycerides (P = 0.006), and postglucose load insulin levels (P = 0.018). Multivariate analysis of these correlated phenotypes also yielded a highly significant association (P = 0.0004), suggesting that BEACON may influence phenotypic variation in metabolic syndrome-related traits.