51
|
Sáez ME, González-Pérez A, Martínez-Larrad MT, Gayán J, Real LM, Serrano-Ríos M, Ruiz A. WWOX gene is associated with HDL cholesterol and triglyceride levels. BMC MEDICAL GENETICS 2010; 11:148. [PMID: 20942981 PMCID: PMC2967537 DOI: 10.1186/1471-2350-11-148] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2010] [Accepted: 10/14/2010] [Indexed: 01/22/2023]
Abstract
Background Altered lipid profile, and in particular low HDL and high triglyceride (TG) plasma levels, are within the major determinants of cardiovascular diseases. The identification of quantitative trait loci (QTL) affecting these lipid levels is a relevant issue for predictive purposes. The WWOX gene has been recently associated with HDL levels. This gene is located at chromosome 16q23, a region previously linked to familial combined hyperlipidemia (FCHL) and HDL. Our objective is to perform a genetic association analysis at the WWOX gene region with HDL, TG and TG/HDL ratio. Methods A quantitative association analysis performed in 801 individuals selected from the Spanish general population. Results For HDL levels, two regions of intron 8 display clustering of positive signals (p < 0.05) but none of them was associated in the haplotypic analysis (0.07 ≤ p ≤ 0.165). For TG levels not only intron 8 but also a 27 kb region spanning from the promoter region to intron 4 are associated in this study. For the TG/HDL genetic association analysis, positive signals are coincident with those of the isolated traits. Interestingly, haplotypic analysis at the 5' region showed that variation in this region modified both HDL and TG levels, especially the latter (p = 0.003). Conclusions Our results suggest that WWOX is a QTL for both TG and HDL.
Collapse
Affiliation(s)
- María E Sáez
- Departamento de Genómica Estructural, Neocodex, 41092 Sevilla, Spain.
| | | | | | | | | | | | | |
Collapse
|
52
|
Holmes ME, Ekkekakis P, Eisenmann JC. The physical activity, stress and metabolic syndrome triangle: a guide to unfamiliar territory for the obesity researcher. Obes Rev 2010; 11:492-507. [PMID: 19895413 DOI: 10.1111/j.1467-789x.2009.00680.x] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Research aimed at deciphering the aetiology of obesity and the metabolic syndrome remains focused on two behavioural factors, namely diet and physical activity, even though epidemiologic research suggests that these two cornerstones of treatment and prevention account for only a small-to-moderate portion of the variance in these phenotypes. In recent years, this observation has prompted the intensified investigation of the pathogenic potential of factors that extend beyond the traditional concept of energy imbalance and examine the putative causes of this imbalance. Psychosocial stress has emerged as one such factor, raising the need for researchers to be informed about this expansive and complex literature. The purpose of this review is twofold (i) To introduce obesity researchers to fundamental concepts and historically important theoretical developments in the stress field and (ii) To outline the dyadic and triadic interactions between stress, physical activity and the metabolic syndrome. Although the expansion of the research focus to multiple, diverse and interacting putative causal agents will certainly increase the complexity of the research enterprise, this step seems essential for the comprehension and effective response to the continuing rise in the prevalence of obesity and the metabolic syndrome.
Collapse
Affiliation(s)
- M E Holmes
- Department of Kinesiology, Center for Physical Activity and Health, Michigan State University, East Lansing, MI 48823, USA.
| | | | | |
Collapse
|
53
|
Chronic pain, overweight, and obesity: findings from a community-based twin registry. THE JOURNAL OF PAIN 2010; 11:628-35. [PMID: 20338816 DOI: 10.1016/j.jpain.2009.10.004] [Citation(s) in RCA: 135] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2009] [Revised: 09/25/2009] [Accepted: 10/02/2009] [Indexed: 12/14/2022]
Abstract
UNLABELLED Chronic pain and obesity, and their associated impairments, are major health concerns. We estimated the association of overweight and obesity with 5 distinct pain conditions and 3 pain symptoms, and examined whether familial influences explained these relationships. We used data collected from 3,471 twins in the community-based University of Washington Twin Registry. Twins reported sociodemographic data, current height and weight, chronic pain diagnoses and symptoms, and lifetime depression. Overweight and obese were defined as body mass index of 25.0 to 29.9 kg/m(2) and >or= 30.0 kg/m(2), respectively. Generalized estimating equation regression models, adjusted for age, gender, depression, and familial/genetic factors, were used to examine the relationship between chronic pain, and overweight and obesity. Overall, overweight and obese twins were more likely to report low back pain, tension-type or migraine headache, fibromyalgia, abdominal pain, and chronic widespread pain than normal-weight twins after adjustment for age, gender, and depression. After further adjusting for familial influences, these associations were diminished. The mechanisms underlying these relationships are likely diverse and multifactorial, yet this study demonstrates that the associations can be partially explained by familial and sociodemographic factors, and depression. Future longitudinal research can help to determine causality and underlying mechanisms. PERSPECTIVE This article reports on the familial contribution and the role of psychological factors in the relationship between chronic pain, and overweight and obesity. These findings can increase our understanding of the mechanisms underlying these 2 commonly comorbid sets of conditions.
Collapse
|
54
|
Abstract
Metabolic syndrome defined as the joint manifestation on the same subject of several risk factors (at least 3 in the majority of definitions) within the following parameters : hypertriglyceridemia, hypertension, abdominal obesity, low concentration of HDL-Cholesterol (HDL-C), and high fasting blood glucose is increasingly reported in children, mainly in the presence of overweight/obesity. In fact, up to 50 % of overweight/obese children can be affected by this syndrome. Furthermore, the metabolic syndrome acquired during childhood has been shown to impact highly into adulthood including by its clinical complications such as type 2 diabetes or cardiovascular diseases. Among the practical preventive and therapeutic measures to be taken in children, physical activity appears to be an option of choice. This review indicates that physical activity programs based either on aerobic exercise, resistance training, or a combination of these 2 types of activity may promote insulin sensibility and weaken or suppress the metabolic syndrome of children. More interestingly, usual physical activity including free-living activities of an intensity equivalent to a brisk walking should be encouraged earlier among children for its positive influence on parameters involved in the metabolic syndrome.
Collapse
Affiliation(s)
- Benjamin C Guinhouya
- Institut Lillois d'Ingénierie de Santé, Laboratoire de Santé Publique-EA 2694, Université de Lille 2, 42, rue Ambroise Paré, 59120 Loos, France.
| |
Collapse
|
55
|
Nock NL, Wang X, Thompson CL, Song Y, Baechle D, Raska P, Stein CM, Gray-McGuire C. Defining genetic determinants of the Metabolic Syndrome in the Framingham Heart Study using association and structural equation modeling methods. BMC Proc 2009; 3 Suppl 7:S50. [PMID: 20018043 PMCID: PMC2795950 DOI: 10.1186/1753-6561-3-s7-s50] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The Metabolic Syndrome (MetSyn), which is a clustering of traits including insulin resistance, obesity, hypertension and dyslipidemia, is estimated to have a substantial genetic component, yet few specific genetic targets have been identified. Factor analysis, a sub-type of structural equation modeling (SEM), has been used to model the complex relationships in MetSyn. Therefore, we aimed to define the genetic determinants of MetSyn in the Framingham Heart Study (Offspring Cohort, Exam 7) using the Affymetrix 50 k Human Gene Panel and three different approaches: 1) an association-based "one-SNP-at-a-time" analysis with MetSyn as a binary trait using the World Health Organization criteria; 2) an association-based "one-SNP-at-a-time" analysis with MetSyn as a continuous trait using second-order factor scores derived from four first-order factors; and, 3) a multivariate SEM analysis with MetSyn as a continuous, second-order factor modeled with multiple putative genes, which were represented by latent constructs defined using multiple SNPs in each gene. Results were similar between approaches in that CSMD1 SNPs were associated with MetSyn in Approaches 1 and 2; however, the effects of CSMD1 diminished in Approach 3 when modeled simultaneously with six other genes, most notably CETP and STARD13, which were strongly associated with the Lipids and MetSyn factors, respectively. We conclude that modeling multiple genes as latent constructs on first-order trait factors, most proximal to the gene's function with limited paths directly from genes to the second-order MetSyn factor, using SEM is the most viable approach toward understanding overall gene variation effects in the presence of multiple putative SNPs.
Collapse
Affiliation(s)
- Nora L Nock
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
- Center for Transdisciplinary Research on Energetics and Cancer, 10900 Euclid Avenue, Case Western Reserve University, Cleveland, Ohio 44106 USA
| | - Xuefeng Wang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
| | - Cheryl L Thompson
- Center for Transdisciplinary Research on Energetics and Cancer, 10900 Euclid Avenue, Case Western Reserve University, Cleveland, Ohio 44106 USA
- Department of Family Medicine, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106 USA
| | - Yeunjoo Song
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
| | - Dan Baechle
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
| | - Paola Raska
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
| | - Catherine M Stein
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
| | - Courtney Gray-McGuire
- Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106 USA
- Center for Transdisciplinary Research on Energetics and Cancer, 10900 Euclid Avenue, Case Western Reserve University, Cleveland, Ohio 44106 USA
| |
Collapse
|
56
|
Baker AR, Goodloe RJ, Larkin EK, Baechle DJ, Song YE, Phillips LS, Gray-McGuire CL. Multivariate association analysis of the components of metabolic syndrome from the Framingham Heart Study. BMC Proc 2009; 3 Suppl 7:S42. [PMID: 20018034 PMCID: PMC2795941 DOI: 10.1186/1753-6561-3-s7-s42] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Metabolic syndrome, by definition, is the manifestation of multiple, correlated metabolic impairments. It is known to have both strong environmental and genetic contributions. However, isolating genetic variants predisposing to such a complex trait has limitations. Using pedigree data, when available, may well lead to increased ability to detect variants associated with such complex traits. The ability to incorporate multiple correlated traits into a joint analysis may also allow increased detection of associated genes. Therefore, to demonstrate the utility of both univariate and multivariate family-based association analysis and to identify possible genetic variants associated with metabolic syndrome, we performed a scan of the Affymetrix 50 k Human Gene Panel data using 1) each of the traits comprising metabolic syndrome: triglycerides, high-density lipoprotein, systolic blood pressure, diastolic blood pressure, blood glucose, and body mass index, and 2) a composite trait including all of the above, jointly. Two single-nucleotide polymorphisms within the cholesterol ester transfer protein (CETP) gene remained significant even after correcting for multiple testing in both the univariate (p < 5 x 10-7) and multivariate (p < 5 x 10-9) association analysis. Three genes met significance for multiple traits after correction for multiple testing in the univariate analysis, while five genes remained significant in the multivariate association. We conclude that while both univariate and multivariate family-based association analysis can identify genes of interest, our multivariate approach is less affected by multiple testing correction and yields more significant results.
Collapse
Affiliation(s)
- Allison R Baker
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| | - Robert J Goodloe
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
- Center for Clinical Investigation, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| | - Emma K Larkin
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
- Center for Clinical Investigation, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| | - Dan J Baechle
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| | - Yeunjoo E Song
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| | - Lynette S Phillips
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| | - Courtney L Gray-McGuire
- Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology, Case Western Reserve University, 11400 Euclid Avenue, Suite 260, Cleveland, Ohio 44106, USA
| |
Collapse
|
57
|
Sung J, Lee K, Song YM. Heritabilities of the metabolic syndrome phenotypes and related factors in Korean twins. J Clin Endocrinol Metab 2009; 94:4946-52. [PMID: 19837915 DOI: 10.1210/jc.2009-1268] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
CONTEXT The genetic studies of metabolic syndrome (MetS), individual components, or latent factors of MetS phenotypes, in Asian populations are limited. OBJECTIVE This study aimed to estimate heritability of MetS and its components, and to identify latent factors clustering individual components among Korean twins and their families. DESIGN Data were derived from the Healthy Twin Study, an ongoing cohort study, from April 2005 to December 2008. PARTICIPANTS A total of 1942 Korean adult same-sex twins and their families (728 men, 1214 women; 795 monozygotic and 229 dizygotic twin individuals with 918 nontwin family members). MAIN OUTCOME MEASURES MetS phenotypes measured were waist circumference (WC), mean blood pressure (MBP), glucose, high-density lipoprotein cholesterol (HDL), and triglycerides (TG) as continuous and discrete traits. MetS was defined using Adult Treatment Panel III and International Diabetes Federation criteria. Heritability, bivariate analyses, interclass correlation, concordances, and factor analyses were conducted. RESULTS Significant differences in interclass correlation for WC, MBP, HDL, and glucose and in concordance rate for high WC and low HDL among monozygotic and dizygotic twins were found. MetS had heritabilities of 51-60% (P < 0.001), and phenotypes showed adjusted heritabilities ranging from 46% (for TG) to 77% (for low HDL). Factor analysis indicated two latent factors (factor 1, TG/WC/HDL; factor 2, WC/MBP/glucose) with significant heritabilities of 60-63%. Bivariate analyses exhibited different genetic and environmental interrelationships between phenotype pairs, although WC and TG showed significant genetic correlations with all other phenotypes. CONCLUSIONS Significant genetic contributions for MetS, its related phenotypes, and latent factors comprising MetS are confirmed.
Collapse
Affiliation(s)
- Joohon Sung
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul 151-742, Korea
| | | | | |
Collapse
|
58
|
D'Adamo E, Santoro N, Caprio S. Metabolic syndrome in pediatrics: old concepts revised, new concepts discussed. Endocrinol Metab Clin North Am 2009; 38:549-63. [PMID: 19717004 DOI: 10.1016/j.ecl.2009.06.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The worldwide epidemic of childhood obesity in the last decades is responsible for the occurrence in pediatrics of disorders once mainly found in adults, such as the metabolic syndrome. A key factor in the pathogenesis of metabolic syndrome is insulin resistance, a phenomenon occurring mainly in obese subjects with a general resistance to the insulin effect only on carbohydrates metabolism. Given that the metabolic syndrome is driven by obesity, the prevalence of the latter will strongly influence the prevalence of metabolic syndrome. This article addresses the causes of metabolic syndrome and the relevance of obesity in the pediatric population.
Collapse
Affiliation(s)
- Ebe D'Adamo
- Department of Pediatrics, Yale University School of Medicine, PO Box 208064, New Haven, CT 6520, USA
| | | | | |
Collapse
|
59
|
Bouchard L, Faucher G, Tchernof A, Deshaies Y, Marceau S, Lescelleur O, Biron S, Bouchard C, Pérusse L, Vohl MC. Association of OSBPL11 gene polymorphisms with cardiovascular disease risk factors in obesity. Obesity (Silver Spring) 2009; 17:1466-72. [PMID: 19325544 DOI: 10.1038/oby.2009.71] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The prevalence of morbid obesity and its associated metabolic complications has risen rapidly in the past decade. Recently, we have established the transcriptome of the visceral adipose tissue of nondiabetic severely obese men with and without metabolic syndrome (MetS) that provided new candidate genes for cardiovascular disease (CVD) risk factors. The oxysterol-binding protein-like protein 11 (OSBPL11) that belongs to the OSBP family of intracellular receptors was one of the genes found to be significantly overexpressed in the MetS group. To determine whether OSBPL11 gene polymorphisms are associated with CVD risk factors and diabetes, OSBPL11 gene promoter and coding regions were sequenced in 25 individuals and six tagging single-nucleotide polymorphisms (SNPs) capturing 85% of gene sequence-derived common genetic variability (minor allele frequency (MAF) > 5%) were genotyped in two samples for a total of 962 obese individuals. Using a multistage experimental design, chi(2)-tests and logistic regressions were applied to compare genotype frequencies and to compute odds ratios (ORs) for low and high CVD risk groups. Significant associations between rs1055419 and diastolic blood pressure (OR = 0.53; P = 0.01) were found whereas IVS12+95 T>C, a newly discovered SNP, was associated with low-density lipoprotein-cholesterol levels (OR = 1.63; P < 0.001), hyperglycemia/diabetes (OR = 1.48; P < 0.004) as well as with MetS per se (OR = 1.56; P < 0.01). These results suggest that the OSBPL11 gene is involved in cholesterol and glucose metabolism in obese individuals.
Collapse
Affiliation(s)
- Luigi Bouchard
- Montreal University Community Genomics Medicine Center, Chicoutimi Hospital, Université de Montreal, Chicoutimi, Québec, Canada
| | | | | | | | | | | | | | | | | | | |
Collapse
|
60
|
Baguhl R, Wilke B, Klöting N, Klöting I. Genes on rat chromosomes 3, 5, 10, and 16 are linked with facets of metabolic syndrome. Obesity (Silver Spring) 2009; 17:1215-9. [PMID: 19584880 DOI: 10.1038/oby.2008.658] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
WOKW (Wistar Ottawa Karlsburg W) rats develop metabolic syndrome closely resembling human disorder. In crossing studies between disease-prone WOKW and disease-resistant DA (Dark Agouti) rats, several quantitative trait loci (QTLs) were mapped. To prove the in vivo relevance of QTLs, congenic DA.WOKW rats, briefly termed DA.3aW, DA.3bW, DA.5W, DA.10W, and DA.16W, were generated by transferring chromosomal regions of WOKW chromosomes 3, 5, 10, and 16 onto DA genetic background. Male (n=12) and female (n=12) rats of each congenic strain and their parental strain DA were characterized for adiposity index (AI), serum leptin, and serum insulin as well as serum cholesterol and serum triglycerides as single facets of metabolic syndrome at the age of 30 weeks. The data showed a significant higher AI for male and female DA.3aW and female DA.16W compared with DA. Serum leptin was significantly elevated in male and female DA.3aW, DA.10W, and DA.16W rats in comparison with DA. Rats of both sexes of DA.10W and female DA.16W showed significantly elevated serum insulin in comparison to DA. Female rats of all congenics had significantly higher serum cholesterol compared with DA, while males did not differ. Finally, triglycerides were only elevated in male DA.16W. The results demonstrate an involvement of WOKW chromosomes 3, 5, 10, and 16 in developing facets of the metabolic syndrome.
Collapse
Affiliation(s)
- Romy Baguhl
- Department of Laboratory Animal Science, Medical Faculty, University Greifswald, Karlsburg, Germany
| | | | | | | |
Collapse
|
61
|
An angiotensin-1 converting enzyme polymorphism is associated with allostatic load mediated by C-reactive protein, interleukin-6 and cortisol. Psychoneuroendocrinology 2009; 34:597-606. [PMID: 19081678 DOI: 10.1016/j.psyneuen.2008.10.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2008] [Revised: 09/12/2008] [Accepted: 10/29/2008] [Indexed: 11/23/2022]
Abstract
Allostatic load (AL) is a theoretical framework that describes the cumulative physiologic effects of adaptation to change or stress throughout the lifespan. AL is operationalized by a composite index of multiple biomarkers. Accordingly, genes, behavior and environment contribute to AL. To determine if individual differences in AL may be influenced by inherent genetic variation, we calculated an allostatic load index (ALI) for 182 Caucasian subjects derived from a population-based study of chronic fatigue syndrome. Nearly 65% of the subjects in this study sample reported fatiguing illness. ALI was calculated based on 11 measures representing metabolic, cardiovascular, inflammatory, hypothalamic-pituitary-adrenal (HPA) axis and sympathetic nervous system (SNS) activities. Subjects were dichotomized into high (ALI > or = 3) or low (ALI < 3) AL groups, and the association between high AL and 129 polymorphisms in 32 genes related to the HPA axis, neurotransmission, inflammation, cardiovascular and metabolic functions were evaluated. Polymorphisms in angiotensin-1 converting enzyme (ACE), corticotropin-releasing hormone receptor 1 (CRHR1), and serotonin receptors (HTR3A and HTR4) were associated with AL (p=0.0007-0.0486), but only one polymorphism, rs4968591, in ACE remained significant after correction for multiple comparisons. The T allele of ACE rs4968591 was more common in subjects with high AL (67.5%) than in subjects with low AL (49.3%) (p=0.0007), and this effect appeared independent of age, sex, body mass index and fatigue status. Additionally, high interleukin-6 (IL-6; p(trend)=0.04), and C-reactive protein (CRP; p(trend)=0.01) levels, as well as low urinary cortisol levels in females (p=0.03) were associated with the T allele, which may result in allele-specific binding of the transcription factor, E2F1. Our results suggest a role for ACE in the bidirectional communication between the central nervous and immune systems in response to stress. Further studies will be needed (a) to replicate the association between AL and ACE polymorphisms in population studies designed to differentiate the effects of sex, age and racial/ethnic background, (b) to evaluate the effect of allele-specific binding of E2F1 at rs4968591, and (c) to examine the role of ACE in the co-regulation of CRP, IL-6 and cortisol.
Collapse
|
62
|
Sjögren M, Lyssenko V, Jonsson A, Berglund G, Nilsson P, Groop L, Orho-Melander M. The search for putative unifying genetic factors for components of the metabolic syndrome. Diabetologia 2008; 51:2242-51. [PMID: 18853134 DOI: 10.1007/s00125-008-1151-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2008] [Accepted: 08/20/2008] [Indexed: 01/22/2023]
Abstract
AIMS/HYPOTHESIS The metabolic syndrome is a cluster of factors contributing to increased risk of cardiovascular disease and type 2 diabetes but unifying mechanisms have not been identified. Our aim was to study whether common variations in 17 genes previously associated with type 2 diabetes or components of the metabolic syndrome and variants in nine genes with inconsistent association with at least two components of the metabolic syndrome would also predict future development of components of the metabolic syndrome, individually or in combination. METHODS Genetic variants were studied in a large prospective study of 16,143 non-diabetic individuals (mean follow-up time 23 years) from the Malmö Preventive Project. In this study, development of at least three of obesity (BMI >or= 30 kg/m(2)), dyslipidaemia (triacylglycerol >or= 1.7 mmol/l and/or lipid-lowering treatment), hypertension (blood pressure >or= 140/90 mmHg and/or antihypertensive medication) and hyperglycaemia (fasting plasma glucose >or= 5.6 mmol/l and/or known diabetes) was defined as development of the metabolic syndrome. The risk of developing at least three components of the metabolic syndrome or the individual components was calculated by logistic regression adjusted for age at baseline, follow-up time and sex. RESULTS Polymorphisms in TCF7L2 (rs7903146, OR 1.10, 95% CI 1.04-1.17, p = 0.00097), FTO (rs9939609, OR 1.08, 95% CI 1.02-1.14, p = 0.0065), WFS1 (rs10010131, OR 1.07, 95% CI 1.02-1.13, p = 0.0078) and IGF2BP2 (rs4402960, OR 1.07, 95% CI 1.01-1.13, p = 0.021) predicted the development of at least three components of the metabolic syndrome in both univariate and multivariate analysis; in the case of TCF7L2, WFS1 and IGF2BP this was due to their association with hyperglycaemia (p < 0.00001, p = 0.0033 and p = 0.027, respectively) and for FTO it was due to its association with obesity (p = 0.004). A polymorphism in the GCKR gene predicted dyslipidaemia (rs1260326, OR 1.15, 95% CI 1.09-1.22, p < 0.00001) but not the metabolic syndrome. None of the studied polymorphisms was associated with more than two components of the metabolic syndrome. A composite genotype score of the 17 polymorphisms associated with type 2 diabetes predicted the development of at least three components of the metabolic syndrome (OR 1.04, p < 0.00001) and the development of hyperglycaemia (OR 1.06, p < 0.00001). Carriers of >or=19 risk alleles had 51 and 72% increased risk of developing at least three components of the metabolic syndrome and hyperglycaemia, respectively, compared with carriers of <or=12 risk alleles (p < 0.00001 for both). CONCLUSIONS/INTERPRETATION Polymorphisms in susceptibility genes for type 2 diabetes (TCF7L2, WFS1, IGF2BP2) and obesity (FTO) predispose to the metabolic syndrome by increasing the risk of one specific component of the metabolic syndrome. The findings argue against a unifying genetic component for the metabolic syndrome.
Collapse
Affiliation(s)
- M Sjögren
- Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, CRC house 91, Malmö, Sweden.
| | | | | | | | | | | | | |
Collapse
|
63
|
Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, Van Pelt RE, Wang H, Eckel RH. The metabolic syndrome. Endocr Rev 2008; 29:777-822. [PMID: 18971485 PMCID: PMC5393149 DOI: 10.1210/er.2008-0024] [Citation(s) in RCA: 1257] [Impact Index Per Article: 78.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The "metabolic syndrome" (MetS) is a clustering of components that reflect overnutrition, sedentary lifestyles, and resultant excess adiposity. The MetS includes the clustering of abdominal obesity, insulin resistance, dyslipidemia, and elevated blood pressure and is associated with other comorbidities including the prothrombotic state, proinflammatory state, nonalcoholic fatty liver disease, and reproductive disorders. Because the MetS is a cluster of different conditions, and not a single disease, the development of multiple concurrent definitions has resulted. The prevalence of the MetS is increasing to epidemic proportions not only in the United States and the remainder of the urbanized world but also in developing nations. Most studies show that the MetS is associated with an approximate doubling of cardiovascular disease risk and a 5-fold increased risk for incident type 2 diabetes mellitus. Although it is unclear whether there is a unifying pathophysiological mechanism resulting in the MetS, abdominal adiposity and insulin resistance appear to be central to the MetS and its individual components. Lifestyle modification and weight loss should, therefore, be at the core of treating or preventing the MetS and its components. In addition, there is a general consensus that other cardiac risk factors should be aggressively managed in individuals with the MetS. Finally, in 2008 the MetS is an evolving concept that continues to be data driven and evidence based with revisions forthcoming.
Collapse
Affiliation(s)
- Marc-Andre Cornier
- University of Colorado Denver, Division of Endocrinology, Metabolism, and Diabetes, Mail Stop 8106, 12801 East 17 Avenue, Room 7103, Aurora, Colorado 80045, USA.
| | | | | | | | | | | | | | | | | |
Collapse
|
64
|
Kraja AT, Huang P, Tang W, Hunt SC, North KE, Lewis CE, Devereux RB, de Simone G, Arnett DK, Rice T, Rao DC. QTLs of factors of the metabolic syndrome and echocardiographic phenotypes: the hypertension genetic epidemiology network study. BMC MEDICAL GENETICS 2008; 9:103. [PMID: 19038053 PMCID: PMC2626585 DOI: 10.1186/1471-2350-9-103] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/28/2008] [Accepted: 11/27/2008] [Indexed: 01/19/2023]
Abstract
BACKGROUND In a previous study of the Hypertension Genetic Epidemiology Network (HyperGEN) we have shown that metabolic syndrome (MetS) risk factors were moderately and significantly associated with echocardiographic (ECHO) left ventricular (LV) phenotypes. METHODS The study included 1,393 African Americans and 1,133 whites, stratified by type 2 diabetes mellitus (DM) status. Heritabilities of seven factor scores based on the analysis of 15 traits were sufficiently high to pursue QTL discovery in this follow-up study. RESULTS Three of the QTLs discovered relate to combined MetS-ECHO factors of "blood pressure (BP)-LV wall thickness" on chromosome 3 at 225 cM with a 2.8 LOD score, on chromosome 20 at 2.1 cM with a 2.6 LOD score; and for "LV wall thickness" factor on chromosome 16 at 113.5 with a 2.6 LOD score in whites. The remaining QTLs include one for a "body mass index-insulin (BMI-INS)" factor with a LOD score of 3.9 on chromosome 2 located at 64.8 cM; one for the same factor on chromosome 12 at 91.4 cM with a 3.3 LOD score; one for a "BP" factor on chromosome 19 located at 67.8 cM with a 3.0 LOD score. A suggestive linkage was also found for "Lipids-INS" with a 2.7 LOD score located on chromosome 11 at 113.1 cM in African Americans. Of the above QTLs, the one on chromosome 12 for "BMI-INS" is replicated in both ethnicities, (with highest LOD scores in African Americans). In addition, the QTL for "LV wall thickness" on chromosome 16q24.2-q24.3 reached its local maximum LOD score at marker D16S402, which is positioned within the 5th intron of the cadherin 13 gene, implicated in heart and vascular remodeling. CONCLUSION Our previous study and this follow-up suggest gene loci for some crucial MetS and cardiac geometry risk factors that contribute to the risk of developing heart disease.
Collapse
Affiliation(s)
- Aldi T Kraja
- Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Pinchia Huang
- Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Weihong Tang
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Steven C Hunt
- Divison of Cardiovascular Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Cora E Lewis
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Richard B Devereux
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Giovanni de Simone
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy
| | - Donna K Arnett
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, USA
| | - Treva Rice
- Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - DC Rao
- Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| |
Collapse
|
65
|
Oron-Herman M, Kamari Y, Grossman E, Yeger G, Peleg E, Shabtay Z, Shamiss A, Sharabi Y. Metabolic syndrome: comparison of the two commonly used animal models. Am J Hypertens 2008; 21:1018-22. [PMID: 18566592 DOI: 10.1038/ajh.2008.218] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The etiology of the metabolic syndrome (MS) includes both genetic and environmental factors. The two most commonly studied animal models of the MS are the high-sucrose diet given to spontaneously hypertensive rats (SHRs) and high-fructose diet given to Sprague Dawley rats (SDRs). This study compares between these two models. METHODS The two rat strains were examined; within each group, the rats were assigned to either the high-sugar diet (SDRs with fructose-enriched diet and SHRs with sucrose-enriched diet) or standard rat chow (control group). The rats were followed for 7 weeks. The main MS components (obesity, hypertension, impaired glucose tolerance, hyperinsulinemia, hypertriglyceridemia, and hypercholesterolemia) were measured. RESULTS At baseline systolic blood pressure (SBP), fasting blood levels of triglycerides and insulin, as well as glucose intolerance, were significantly higher among the SHRs compared to SDRs. Following fructose enrichment, SDRs became hyperinsulinemic, hypertriglyceridemic, hypercholesterolemic, hypertensive, and insulin resistant, whereas SHRs responded to sucrose supplementation by a significant elevation in blood pressure and mild worsening of insulin resistance. Endpoint results revealed superiority of sucrose--SHR model in terms of hypertension and superiority of fructose--SDR model in terms of hyperinsulinemia, hypertriglyceridemia, and hypercholesterolemia. Both models showed similar postintervention degree of glucose tolerance. CONCLUSIONS The fructose-fed SDR model represents a predominantly environmentally acquired MS, whereas the SHR model is less affected by dietary intervention and better displays the predominantly genetic spontaneous appearance of the syndrome. This fundamental difference should be taken into consideration when choosing an animal model to study the MS.
Collapse
|
66
|
Zuberi AR. Strategies for assessment of botanical action on metabolic syndrome in the mouse and evidence for a genotype-specific effect of Russian tarragon in the regulation of insulin sensitivity. Metabolism 2008; 57:S10-5. [PMID: 18555848 PMCID: PMC2504519 DOI: 10.1016/j.metabol.2008.03.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Published reports of botanical action are often hampered by the lack of generalized systematic approaches or by the failure to explore mechanisms that could confirm and extend the reported observations. Choice of mouse or rat housing conditions (singly or group housed) and imposed stress during handling procedures are often variable and can contribute significantly to differences in baseline phenotypes measured across studies. Differences can also be observed in the role of the extract in either the treatment of the metabolic syndrome or roles in the regulation of the emergence of metabolic syndrome. The choice of diet used can also vary between the different studies, and diet-botanical interactions must be considered. This minireview highlights the strategies being pursued by the Botanical Research Center Animal Research Core to evaluate the in vivo phenotypes of several botanical extracts during long-term feeding studies. We describe a phenotyping strategy that promotes a more rigorous interpretation of botanical action and can suggest or eliminate possible mechanisms that may be involved. We discuss the importance of selecting the mouse model, as background strain can significantly alter the underlying susceptibilities to the various components of metabolic syndrome. Finally, we present data suggesting that one of the major botanical extracts being studied, an extract of Russian tarragon, may manifest a mouse strain genotype-specific insulin-sensitizing phenotype.
Collapse
Affiliation(s)
- Aamir R Zuberi
- Botanical Research Center, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA 70810, USA.
| |
Collapse
|
67
|
|
68
|
Lakka TA, Laaksonen DE. Physical activity in prevention and treatment of the metabolic syndrome. Appl Physiol Nutr Metab 2007; 32:76-88. [PMID: 17332786 DOI: 10.1139/h06-113] [Citation(s) in RCA: 278] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Randomised controlled trials have shown that exercise training has a mild or moderate favourable effect on many metabolic and cardiovascular risk factors that constitute or are related to the metabolic syndrome (MetS). Epidemiological studies suggest that regular physical activity prevents type 2 diabetes, cardiovascular disease, and premature mortality in large part through these risk factors. Although randomized controlled trials with the prevention or treatment of the MetS as the main outcome have not been published, several large randomized controlled trials provide strong evidence that favourable lifestyle changes, including regular physical activity, are effective in the prevention of type 2 diabetes in individuals who are overweight and have impaired glucose tolerance. Compliance with the current recommendations to increase the total volume of moderate-intensity physical activity and to maintain good cardiorespiratory and muscular fitness appears to markedly decrease the likelihood of developing the MetS, especially in high-risk groups. Walking is the most common form of physical activity--it improves health in many ways and is generally safe. Therefore, brisk walking for at least 30 min daily can be recommended as the principal form of physical activity at the population level. If there are no contraindications, more vigorous physical exercise or resistance training should also be considered to obtain additional health benefits. Unstructured and low-intensity physical activity may also decrease the likelihood of developing the MetS, especially when substituted for sedentary behaviours such as watching television. The measurement of maximal oxygen consumption may provide an efficient means to target even individuals with relatively few metabolic risk factors who may benefit from more intensive intervention.
Collapse
Affiliation(s)
- Timo A Lakka
- Institute of Biomedicine, Department of Physiology, University of Kuopio, P.O. Box 1627, 70211 Kuopio, Finland.
| | | |
Collapse
|