Gene methylation profiles in visceral adipose tissue of obese men with and without the metabolic syndrome
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ABSTRACT: Evaluate differences in gene methylation levels between obese men with and without the metabolic syndrome Visceral adipose tissue from obese men with the metabolic syndrome (MetS+, N=7) vs. obese men without the metabolic syndrome (MetS-, N=7)
Project description:Identification of CpG sites associated to plasma TG levels Bisulphite converted DNA from 24 visceral adipose tissue (VAT) samples were hybridised to the Illumina Infinium HumanMethylation450 Beadchip. Contributor: the Multiple Tissue Human Expression Resource Consortium
Project description:The study aimed to investigate molecular signatures in peripheral blood of individuals affected by metabolic syndrome (MetS) and different degrees of obesity. Metabolic health of 1204 individuals was assessed, and 32 subjects were recruited to four study groups: MetS lean, MetS obese, “healthy obese” and healthy lean. Whole-blood transcriptome next generation sequencing with functional data analysis was carried out.
Project description:Obese individuals without metabolic comorbidities are categorized as metabolically healthy obese (MHO). MicroRNAs (miRNAs) may be implicated in MHO. This cross-sectional study explores the link between circulating miRNAs and the main components of metabolic syndrome (MetS) in the context of obesity. We also examine oxidative stress biomarkers in MHO vs. metabolically unhealthy obesity (MUO).
Project description:The metabolic syndrome (MetS) is a collection of co-occurring complex disorders including obesity, hypertension, dyslipidemia, and insulin resistance. The Lyon Hypertensive (LH) and Lyon Normotensive (LN) rats are models of MetS sensitivity and resistance, respectively. To identify genetic determinants and mechanisms underlying MetS, 169 rats from an F2 intercross between LH and LN were studied. Multi-dimensional data were obtained including genotypes of 1536 SNPs, 23 physiological traits including blood pressure, plasma lipid and leptin levels, and body weight/adiposity, and more than 150 billion nucleotides of RNA-seq reads from the livers of 36 F2 individuals, 6 LH and 6 LN individuals. We identified 17 pQTLs (physiological quantitative trait loci) and 1200 eQTLs (gene expression quantitative trait loci). Systems biology methods were applied to identify 18 candidate MetS genes, including genes (Prcp and Aqp11) previously shown to be MetS-related. We found an eQTL hotspot on RNO17, which was also located within pQTLs for MetS-related traits. The genes regulated by this eQTL hotspot were mainly in two co-expression network modules (a mitochondria related module and a gene regulation related module) and were predicted to causally affect many MetS-related traits. Multiple evidences strongly and consistently support RGD1562963, a gene regulated in cis by this eQTL hotspot and possibly related to RNA stability, as the eQTL driver gene directly affected by genetic variation between LH and LN rats; the expression of this gene is also correlated with MetS-related traits. Our study sheds light on the intricate pathogenesis of MetS and proved that systems biology with high-throughput sequencing is a powerful method to study the etiology of complicated diseases. RNA-Seq of the liver of 6 LH (Lyon Hypertensive) rats and 6 LN (Lyon Normotensive) rats and 36 F2 rats.
Project description:Metabolic syndrome is a common and complicated metabolic disorder and defined as a clustering of metabolic risk factors such as insulin resistance or diabetes, obesity, hypertension, and hyperlipidemia. The identification of accurate and effective biomarkers is beneficial to the early diagnosis and treatment of metabolic syndrome. Our study firstly detected the plasma miRNA expression profile of MetS patients compared with control group by high-throughput sequencing and integrated bioinformatics approaches. To our best knowledge, our study firstly perform high-throughput sequencing to obtain the circulating microRNA expression data in MetS plasma, and identified several potential plasma biomarkers for MetS.
Project description:The heart undergoes physiological hypertrophy during pregnancy in healthy individuals. Metabolic syndrome (MetS) is now prevalent in women of child-bearing age and might add risks of adverse cardiovascular events during pregnancy. The present study asks if cardiac remodeling during pregnancy in obese individuals with MetS is abnormal and whether this predisposes them to a higher risk for cardiovascular disorders. The idea that MetS induces pathological cardiac remodeling during pregnancy was studied in a long-term (15 weeks) Western diet–feeding animal model that recapitulated features of human MetS. Pregnant female mice with Western diet (45% kcal fat)–induced MetS were compared with pregnant and nonpregnant females fed a control diet (10% kcal fat). Pregnant mice fed a Western diet had increased heart mass and exhibited key features of pathological hypertrophy, including fibrosis and upregulation of fetal genes associated with pathological hypertrophy. Hearts from pregnant animals with WD-induced MetS had a distinct gene expression profile that could underlie their pathological remodeling. Concurrently, pregnant female mice with MetS showed more severe cardiac hypertrophy and exacerbated cardiac dysfunction when challenged with angiotensin II/phenylephrine infusion after delivery. These results suggest that preexisting MetS could disrupt physiological hypertrophy during pregnancy to produce pathological cardiac remodeling that could predispose the heart to chronic disorders.
Project description:The metabolic syndrome (MetS) is characterized by the presence of metabolic abnormalities that include abdominal obesity, dyslipidemia, hypertension, increased blood glucose/insulin resistance, hypertriglyceridemia and increased risk for cardiovascular disease (CVD). The ApoE*3Leiden.human Cholesteryl Ester Transfer Protein (ApoE3L.CETP) mouse model manifests several features of the MetS upon high fat diet (HFD) feeding. Moreover, the physiological changes in the white adipose tissue (WAT) contribute to MetS comorbidities. The aim of this study was to identify transcriptomic signatures in the gonadal WAT of ApoE3L.CETP mice in discrete stages of diet-induced MetS.
Project description:Metabolic Syndrome (MetS) is a strong predictor for diabetes and cardiovascular disease and is defined by a constellation of phenotypes including increased and adverse body fat distribution, insulin resistance, abnormalities in lipids and lipoproteins, malfunctional cardiovascular performance, and abnormal levels of adipokines and cytokines. We assayed in a subset of our family cohort phentoyped for MetS phentoypes, the genome-wde transcript levels using the Illumina Human WG-6 v2 expression arrays. Genome-wide gene expression was assayed in members of families that originally contribute to linkage signals in a previous genome-wide linkage scans for multiple MetS phenotypes.