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Träfflista för sökning "WFRF:(Vaag Allan) ;pers:(Eriksson Karl Fredrik)"

Sökning: WFRF:(Vaag Allan) > Eriksson Karl Fredrik

  • Resultat 1-6 av 6
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1.
  • Olsson, Anders H, et al. (författare)
  • The expression of myosin heavy chain (MHC) genes in human skeletal muscle is related to metabolic characteristics involved in the pathogenesis of type 2 diabetes.
  • 2011
  • Ingår i: Molecular Genetics and Metabolism. - : Elsevier BV. - 1096-7192. ; 103, s. 275-281
  • Tidskriftsartikel (refereegranskat)abstract
    • Type 2 diabetes patients exhibit a reduction in oxidative muscle fibres and an increase in glycolytic muscle fibres. In this study, we investigated whether both genetic and non-genetic factors influence the mRNA expression levels of three myosin heavy chain (MHC) genes represented in different fibre types. Specifically, we examined the MHC7 (slow-twitch oxidative fibre), MHCIIa (fast-twitch oxidative fibre) and MHCIIx/d (fast-twitch glycolytic fibre) genes in human skeletal muscle. We further investigated the use of MHC mRNA expression as a proxy to determine fibre-type composition, as measured by traditional ATP staining. Two cohorts of age-matched Swedish men were studied to determine the relationship of muscle mRNA expression of MHC7, MHCIIa, and MHCIIx/d with muscle fibre composition. A classical twin approach, including young and elderly Danish twin pairs, was utilised to examine if differences in expression levels were due to genetic or environmental factors. Although MHCIIx/d mRNA expression correlated positively with the level of type IIx/d muscle fibres in the two cohorts (P<0.05), a relatively low magnitude of correlation suggests that mRNA does not fully correlate with fibre-type composition. Heritability estimates and genetic analysis suggest that the levels of MHC7, MHCIIa and MHCIIx/d expression are primarily under non-genetic influence, and MHCIIa indicated an age-related decline. PGC-1α exhibited a positive relationship with the expression of all three MHC genes (P<0.05); meanwhile, PGC-1β related positively with MHCIIa expression and negatively with MHCIIx/d expression (P<0.05). While MHCIIa expression related positively with insulin-stimulated glucose uptake (P<0.01), MHCIIx/d expression related negatively with insulin-stimulated glucose uptake (P<0.05). Our findings suggest that the expression levels of the MHC genes are associated with age and both PGC-1α and PGC-1β and indicate that the MHC genes may to some extent be used to determine fibre-type composition in human skeletal muscle.
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2.
  • Parikh, Hemang M, et al. (författare)
  • Relationship between insulin sensitivity and gene expression in human skeletal muscle
  • 2021
  • Ingår i: BMC Endocrine Disorders. - : Springer Science and Business Media LLC. - 1472-6823. ; 21:1
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Insulin resistance (IR) in skeletal muscle is a key feature of the pre-diabetic state, hypertension, dyslipidemia, cardiovascular diseases and also predicts type 2 diabetes. However, the underlying molecular mechanisms are still poorly understood.METHODS: To explore these mechanisms, we related global skeletal muscle gene expression profiling of 38 non-diabetic men to a surrogate measure of insulin sensitivity, i.e. homeostatic model assessment of insulin resistance (HOMA-IR).RESULTS: We identified 70 genes positively and 110 genes inversely correlated with insulin sensitivity in human skeletal muscle, identifying autophagy-related genes as positively correlated with insulin sensitivity. Replication in an independent study of 9 non-diabetic men resulted in 10 overlapping genes that strongly correlated with insulin sensitivity, including SIRT2, involved in lipid metabolism, and FBXW5 that regulates mammalian target-of-rapamycin (mTOR) and autophagy. The expressions of SIRT2 and FBXW5 were also positively correlated with the expression of key genes promoting the phenotype of an insulin sensitive myocyte e.g. PPARGC1A.CONCLUSIONS: The muscle expression of 180 genes were correlated with insulin sensitivity. These data suggest that activation of genes involved in lipid metabolism, e.g. SIRT2, and genes regulating autophagy and mTOR signaling, e.g. FBXW5, are associated with increased insulin sensitivity in human skeletal muscle, reflecting a highly flexible nutrient sensing.
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3.
  • Parikh, Hemang, et al. (författare)
  • Molecular correlates for maximal oxygen uptake (VO2max) and type 1 fibers.
  • 2008
  • Ingår i: American Journal of Physiology: Endocrinology and Metabolism. - : American Physiological Society. - 1522-1555 .- 0193-1849. ; Apr 29, s. 1152-1159
  • Tidskriftsartikel (refereegranskat)abstract
    • Maximal oxygen uptake (VO2max) and the amount of type 1 fibers are interrelated but the underlying unifying molecular mechanisms are poorly understood. To explore these mechanisms we related gene expression profiles in skeletal muscle biopsies of 43 age-matched men from published datasets with VO2max and amount of type 1 fibers and replicated some of the findings in muscle biopsies from 154 young and elderly individuals using real-time PCR. We identified 66 probesets (genes or ESTs) positively and 83 probesets inversely correlated with VO2max and 171 probesets positively and 217 probesets inversely correlated with percentage of type 1 fibers in human skeletal muscle. Genes involved in oxidative phosphorylation (OXPHOS) showed high expression in individuals with high VO2max whereas the opposite was not the case in individuals with low VO2max. Instead, genes like AHNAK and BCL6 were associated with low VO2max. Also, expression of the OXPHOS genes NDUFB5 and ATP5C1 increased with exercise training and decreased with aging. In contrast, expression of AHNAK in skeletal muscle decreased with exercise training and increased with aging. Eleven genes (NDUFB4, COX5A, UQCRB, ATP5C1, ATP5G3, ETHE1, FABP3, ISCA1, MYST4, C9orf3 and PKIA) were positively correlated with both VO2max and percentage of type 1 fibers. VO2max closely reflects expression of OXPHOS genes, particularly of NDUFB5 and ATP5C1 in skeletal muscle suggesting good muscle fitness. In contrast, a high expression of AHNAK was associated with a low VO2max and poor muscle fitness. Key words: VO2max, Type 1 fibers, Aging.
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4.
  • Rönn, Tina, et al. (författare)
  • Circulating triglycerides are associated with human adipose tissue DNA methylation of genes linked to metabolic disease
  • 2023
  • Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 32:11, s. 1875-1887
  • Tidskriftsartikel (refereegranskat)abstract
    • Dysregulation of circulating lipids is a central element for the metabolic syndrome. However, it is not well established whether human subcutaneous adipose tissue is affected by or affect circulating lipids through epigenetic mechanisms. Hence, our aim was to investigate the association between circulating lipids and DNA methylation levels in human adipose tissue. DNA methylation and gene expression were analysed genome-wide in subcutaneous adipose tissue from two different cohorts, including 85 men and 93 women, respectively. Associations between DNA methylation and circulating levels of triglycerides, low-density lipoprotein, high-density lipoprotein and total cholesterol were analysed. Causal mediation analyses tested if adipose tissue DNA methylation mediates the effects of triglycerides on gene expression or insulin resistance. We found 115 novel associations between triglycerides and adipose tissue DNA methylation, e.g. in the promoter of RFS1, ARID2 and HOXA5 in the male cohort (P ≤ 1.1 × 10-7), and 63 associations, e.g. within the gene body of PTPRN2 and COL6A3 in the female cohort. We further connected these findings to altered mRNA expression levels in adipose tissue (e.g. HOXA5, IL11 and FAM45B). Interestingly, there was no overlap between methylation sites associated with triglycerides in men and the sites found in women, which points towards sex-specific effects of triglycerides on the epigenome. Finally, a causal mediation analysis provided support for adipose tissue DNA methylation as a partial mediating factor between circulating triglycerides and insulin resistance. This study identified novel epigenetic alterations in adipose tissue associated with circulating lipids. Identified epigenetic changes seem to mediate effects of triglycerides on insulin resistance.
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5.
  • Rönn, Tina, et al. (författare)
  • Impact of age, BMI and HbA1c levels on the genome-wide DNA methylation and mRNA expression patterns in human adipose tissue and identification of epigenetic biomarkers in blood.
  • 2015
  • Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 24:13, s. 3792-3813
  • Tidskriftsartikel (refereegranskat)abstract
    • Increased age, BMI and HbA1c levels are risk factors for several non-communicable diseases. However, the impact of these factors on the genome-wide DNA methylation pattern in human adipose tissue remains unknown. We analyzed DNA methylation of ∼480,000 sites in human adipose tissue from 96 males and 94 females, and related methylation to age, BMI and HbA1c. We also compared epigenetic signatures in adipose tissue and blood. Age was significantly associated with both altered DNA methylation and expression of 1,050 genes (e.g. FHL2, NOX4 and PLG). Interestingly, many reported epigenetic biomarkers of ageing in blood, including ELOVL2, FHL2, KLF14 and GLRA1, also showed significant correlations between adipose tissue DNA methylation and age in our study. The most significant association between age and adipose tissue DNA methylation was found upstream of ELOVL2. We identified 2,825 genes (e.g. FTO, ITIH5, CCL18, MTCH2, IRS1 and SPP1) where both DNA methylation and expression correlated with BMI. Methylation at previously reported HIF3A sites correlated significantly with BMI in females only. HbA1c (range 28-46 mmol/mol) correlated significantly with methylation of 711 sites, annotated to e.g. RAB37, TICAM1 and HLA-DPB1. Pathway analyses demonstrated that methylation levels associated with age and BMI are overrepresented among genes involved in cancer, type 2 diabetes and cardiovascular disease. Our results highlight the impact of age, BMI and HbA1c on epigenetic variation of candidate genes for metabolic diseases and cancer in human adipose tissue. Importantly, we demonstrate that epigenetic biomarkers in blood can mirror age-related epigenetic signatures in target tissues for metabolic diseases such as adipose tissue.
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6.
  • Volkov, Petr, et al. (författare)
  • A Genome-Wide mQTL Analysis in Human Adipose Tissue Identifies Genetic Variants Associated with DNA Methylation, Gene Expression and Metabolic Traits
  • 2016
  • Ingår i: Plos One. - : Public Library of Science (PLoS). - 1932-6203. ; 11:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Little is known about the extent to which interactions between genetics and epigenetics may affect the risk of complex metabolic diseases and/or their intermediary phenotypes. We performed a genome-wide DNA methylation quantitative trait locus (mQTL) analysis in human adipose tissue of 119 men, where 592,794 single nucleotide polymorphisms (SNPs) were related to DNA methylation of 477,891 CpG sites, covering 99% of RefSeq genes. SNPs in significant mQTLs were further related to gene expression in adipose tissue and obesity related traits. We found 101,911 SNP-CpG pairs (mQTLs) in cis and 5,342 SNP-CpG pairs in trans showing significant associations between genotype and DNA methylation in adipose tissue after correction for multiple testing, where cis is defined as distance less than 500 kb between a SNP and CpG site. These mQTLs include reported obesity, lipid and type 2 diabetes loci, e.g. ADCY3/POMC, APOA5, CETP, FADS2, GCKR, SORT1 and LEPR. Significant mQTLs were overrepresented in intergenic regions meanwhile underrepresented in promoter regions and CpG islands. We further identified 635 SNPs in significant cis-mQTLs associated with expression of 86 genes in adipose tissue including CHRNA5, G6PC2, GPX7, RPL27A, THNSL2 and ZFP57. SNPs in significant mQTLs were also associated with body mass index (BMI), lipid traits and glucose and insulin levels in our study cohort and public available consortia data. Importantly, the Causal Inference Test (CIT) demonstrates how genetic variants mediate their effects on metabolic traits (e.g. BMI, cholesterol, highdensity lipoprotein (HDL), hemoglobin A1c (HbA1c) and homeostatic model assessment of insulin resistance (HOMA-IR)) via altered DNA methylation in human adipose tissue. This study identifies genome-wide interactions between genetic and epigenetic variation in both cis and trans positions influencing gene expression in adipose tissue and in vivo (dys) metabolic traits associated with the development of obesity and diabetes.
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