Epigenetics factors in nonalcoholic fatty liver disease

Introduction: Fatty liver disease, defined by the presence of liver fat infiltration, is part of a cluster of disorders that occur in the context of metabolic syndrome. Epigenetic factors - defined as stable and heritable changes in gene expression without changes in the DNA sequence - may not only play an important role in the disease development in adulthood, but they may start exerting their influence in the prenatal stage.Areas covered: By using systems biology approaches, we review the main epigenetic modifications and highlight their likely roles in the pathogenesis of nonalcoholic fatty liver disease.Expert opinion: Knowledge of the mechanisms by which epigenetic modifications participate in complex disorders would not only help scientists find novel therapeutic strategies but could also aid in implementing preventive care measures at gestation.

The relationship between phenotypic and environmental variation: do physiological responses reduce interindividual differences?

What is the effect of a variable environment on phenotypic variation? Does the physiological response to a new environment increase or decrease the differences among individuals? We provide a speculative hypothesis suggesting that the induction of a physiological response to environmental change minimizes phenotypic differences among individuals in outbred genetically variable populations. Although this suggestion runs counter to the general idea that environmental variation induces phenotypic variation, we provide evidence that this is not always the case. One explanation for this counterintuitive hypothesis is that in a variable environment, the physiological mechanism that maintains homeostasis changes the concentrations of active transcription factors (TFs). This change in TFs reduces the effectiveness of nucleotide polymorphisms in TF binding sites and thus reduces the variation among individuals in mRNA expression and in the phenotypes affected by these mRNA transcripts. Thus, there are fewer differences among individuals in a variable environment compared with the variation observed in a constant environment. Our conjecture is that the physiological mechanisms that maintain homeostasis in response to environmental variation canalize phenotypic variation. If our hypothesis is correct, then the physiological canalization of gene expression in a variable environment hides genetic variation and thereby reduces the evolutionary costs of polymorphism. This hypothesis provides a new perspective on the mechanisms by which high levels of genetic variation can persist in real-world populations.

The metabolic syndrome, oxidative stress, environment, and cardiovascular disease: the great exploration

The metabolic syndrome affects 30% of the US population with increasing prevalence. In this paper, we explore the relationship between the metabolic syndrome and the incidence and severity of cardiovascular disease in general and coronary artery disease (CAD) in particular. Furthermore, we look at the impact of metabolic syndrome on outcomes of coronary revascularization therapies including CABG, PTCA, and coronary collateral development. We also examine the association between the metabolic syndrome and its individual component pathologies and oxidative stress. Related, we explore the interaction between the main external sources of oxidative stress, cigarette smoke and air pollution, and metabolic syndrome and the effect of this interaction on CAD. We discuss the apparent lack of positive effect of antioxidants on cardiovascular outcomes in large clinical trials with emphasis on some of the limitations of these trials. Finally, we present evidence for successful use of antioxidant properties of pharmacological agents, including metformin, statins, angiotensin II type I receptor blockers (ARBs), and angiotensin II converting enzyme (ACE) inhibitors, for prevention and treatment of the cardiovascular complications of the metabolic syndrome.

Insulin resistance and epigenetic regulation: insights from human studies and prospects for future research

In this study, we review the current knowledge and recent insights on the role of epigenetic factors in the development of human insulin resistance (IR)- and metabolic syndrome (MS)-related phenotypes, and attempt to lay a framework to consider IR as a potentially reversible incapacity to control metabolic homeostasis that is strongly influenced by the interplay between external and internal cues. We summarize the evidence on how tissue-specific epigenetic markers participate either by activating or repressing the gene expression programs to modulate IR- and MS-associated traits. Some additional data are provided about how the exploration of DNA methylation markers in peripheral blood mononuclear cells potentially offers appealing information about the impact of epigenetics in the pathogenesis of IR. Clues about the relation between IR and impaired intrauterine growth explained by fetal metabolic programming and epigenetic modifications are shown, including novel findings about the impact of histone modifications. For instance, we observed that specific epigenetic factors in genes associated with mitochondrial biogenesis may be associated with birth weight. Furthermore, some prospective ideas about the functional consequences of genetic variation modulated by allele-specific epigenetic markers and its impact on MS susceptibility are also illustrated. Finally, we summarize the current knowledge of epigenetics as the biological rationale for potential therapeutic intervention in IR and MS.

Metabolic syndrome: from the genetics to the pathophysiology

The metabolic syndrome (MS) constitutes a combination of underlying risk factors for an adverse outcome, cardiovascular disease. Thus, the clinical behavior of the MS can be regarded as a whole. Nevertheless, from a pathogenic point of view, understanding of the underlying mechanisms of each MS intermediate phenotype is far beyond their understanding as an integrative process. Systems biology introduces a new concept for revealing the pathogenesis of human disorders and suggests the presence of common physiologic processes and molecular networks influencing the risk of a disease. This paper shows a model of this concept to explain the genetic determinants of MS-associated phenotypes. Based on the hypothesis that common physiologic processes and molecular networks may influence the risk of MS disease components, we propose two systems-biology approaches: a gene enrichment analysis and the use of a protein-protein interaction network. Our results show that a network driven by many members of the nuclear receptor superfamily of proteins, including retinoid X receptor and farnesoid X receptor (FXR), may be implicated in the pathogenesis of the MS by its interactions at multiple levels of complexity with genes associated with metabolism, cell differentiation, and oxidative stress. In addition, we review two alternative genetic mechanisms that are gaining acceptance in the physiopathology of the MS: the regulation of transcriptional and post-transcriptional gene expression by microRNAs and epigenetic modifications such as DNA methylation.

Role of genetic variation in insulin-like growth factor 1 receptor on insulin resistance and arterial hypertension

OBJECTIVE

To perform a two-stage study to explore the role of gene variants in the risk of insulin resistance and arterial hypertension.

METHODS AND RESULTS

The selection of variants was performed by a first stage of in-silico analysis of the original genome-wide association data sets on genes involved in metabolic syndrome components, granted by the Diabetes Genetics Initiative and the Wellcome Trust Case-Control Consortium. We started by identifying single-nucleotide polymorphisms with a cutoff for association (P < 0.05) in both data sets after the application of a computational algorithm of gene prioritization. Among the more promising variants, six single-nucleotide polymorphisms in IGF1R (rs11247362, rs10902606, rs1317459, rs11854132, rs2684761, and rs2715416) were selected for further evaluation in our population. Altogether, 1094 men, aged 34.4 +/- 8.6 years, were included in a population-based study. Genotypes of rs2684761 showed significant association with insulin resistance (as a discrete trait, odds ratio per G allele 1.27, 95% confidence interval 1.03-1.56, P = 0.026; and homeostasis model assessment-insulin resistance as a continuous trait, P = 0.01). A significant association of rs2684761 with arterial hypertension was also observed (odds ratio per G allele 1.29, 95% confidence interval 1.02-1.64, P = 0.037) after adjusting for age and homeostasis model assessment-insulin resistance.

CONCLUSION

Our study suggests for the first time a putative role of IGF1R variants in individual susceptibility to metabolic syndrome-related phenotypes, in particular on the risk of having insulin resistance and arterial hypertension.