Alexander Perfilyev

Altered DNA methylation and differential expression of genes influencing metabolism and inflammation in adipose tissue from subjects with type 2 diabetes

Genetics, epigenetics, and environment may together affect the susceptibility for type 2 diabetes (T2D). Our aim was to dissect molecular mechanisms underlying T2D using genome-wide expression and DNA methylation data in adipose tissue from monozygotic twin pairs discordant for T2D and independent case-control cohorts. In adipose tissue from diabetic twins, we found decreased expression of genes involved in oxidative phosphorylation; carbohydrate, amino acid, and lipid metabolism; and increased expression of genes involved in inflammation and glycan degradation. The most differentially expressed genes included ELOVL6, GYS2, FADS1, SPP1 (OPN), CCL18, and IL1RN. We replicated these results in adipose tissue from an independent case-control cohort. Several candidate genes for obesity and T2D (e.g., IRS1 and VEGFA) were differentially expressed in discordant twins. We found a heritable contribution to the genome-wide DNA methylation variability in twins. Differences in methylation between monozygotic twin pairs discordant for T2D were subsequently modest. However, 15,627 sites, representing 7,046 genes including PPARG, KCNQ1, TCF7L2, and IRS1, showed differential DNA methylation in adipose tissue from unrelated subjects with T2D compared with control subjects. A total of 1,410 of these sites also showed differential DNA methylation in the twins discordant for T2D. For the differentially methylated sites, the heritability estimate was 0.28. We also identified copy number variants (CNVs) in monozygotic twin pairs discordant for T2D. Taken together, subjects with T2D exhibit multiple transcriptional and epigenetic changes in adipose tissue relevant to the development of the disease.

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

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 the 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 1050 genes (e.g. FHL2, NOX4 and PLG). Interestingly, many reported epigenetic biomarkers of aging 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 2825 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 the methylation of 711 sites, annotated to, for example, 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 obesity, type 2 diabetes 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.

Epigenetic Alterations in Human Liver From Subjects With Type 2 Diabetes in Parallel With Reduced Folate Levels.

OBJECTIVE Epigenetic variation may contribute to the development of complex metabolic diseases such as type 2 diabetes (T2D). Hepatic insulin resistance is a hallmark of T2D. However, it remains unknown whether epigenetic alterations take place in the liver from diabetic subjects. Therefore, we investigated the genome-wide DNA methylation pattern in the liver from subjects with T2D and nondiabetic controls and related epigenetic alterations to gene expression and circulating folate levels. RESEARCH DESIGN AND METHODS Liver biopsies were obtained from 35 diabetic and 60 nondiabetic subjects, which are part of the Kuopio Obesity Surgery Study. The genome-wide DNA methylation pattern was analyzed in the liver using the HumanMethylation450 BeadChip. RNA expression was analyzed from a subset of subjects using the HumanHT-12 Expression BeadChip. RESULTS After correction for multiple testing, we identified 251 individual CpG sites that exhibit differential DNA methylation in liver obtained from T2D compared with nondiabetic subjects (Q < .05). These include CpG sites annotated to genes that are biologically relevant to the development of T2D such as GRB10, ABCC3, MOGAT1, and PRDM16. The vast majority of the significant CpG sites (94%) displayed decreased DNA methylation in liver from subjects with T2D. The hypomethylation found in liver from diabetic subjects may be explained by reduced folate levels. Indeed, subjects with T2D had significantly reduced erythrocyte folate levels compared with nondiabetic subjects. We further identified 29 genes that displayed both differential DNA methylation and gene expression in human T2D liver including the imprinted gene H19. CONCLUSIONS Our study highlights the importance of epigenetic and transcriptional changes in the liver from subjects with T2D. Reduced circulating folate levels may provide an explanation for hypomethylation in the human diabetic liver.

Genome-wide analysis of DNA methylation in subjects with type 1 diabetes identifies epigenetic modifications associated with proliferative diabetic retinopathy

BackgroundEpigenetic variation has been linked to several human diseases. Proliferative diabetic retinopathy (PDR) is a major cause of vision loss in subjects with diabetes. However, studies examining the association between PDR and the genome-wide DNA methylation pattern are lacking. Our aim was to identify epigenetic modifications that associate with and predict PDR in subjects with type 1 diabetes (T1D).MethodsDNA methylation was analyzed genome-wide in 485,577 sites in blood from cases with PDR (n = 28), controls (n = 30), and in a prospective cohort (n = 7). False discovery rate analysis was used to correct the data for multiple testing. Study participants with T1D diagnosed before 30 years of age and insulin treatment within 1 year from diagnosis were selected based on 1) subjects classified as having PDR (cases) and 2) subjects with T1D who had had diabetes for at least 10 years when blood DNA was sampled and classified as having no/mild diabetic retinopathy also after an 8.7-year follow-up (controls). DNA methylation was also analyzed in a prospective cohort including seven subjects with T1D who had no/mild diabetic retinopathy when blood samples were taken, but who developed PDR within 6.3 years (converters). The retinopathy level was classified by fundus photography.ResultsWe identified differential DNA methylation of 349 CpG sites representing 233 unique genes including TNF, CHI3L1 (also known as YKL-40), CHN2, GIPR, GLRA1, GPX1, AHRR, and BCOR in cases with PDR compared with controls. The majority of these sites (79 %) showed decreased DNA methylation in cases with PDR. The Natural Killer cell-mediated cytotoxicity pathway was found to be significantly (P = 0.006) enriched among differentially methylated genes in cases with PDR. We also identified differential DNA methylation of 28 CpG sites representing 17 genes (e.g. AHRR, GIPR, GLRA1, and BCOR) with P <0.05 in the prospective cohort, which is more than expected by chance (P = 0.0096).ConclusionsSubjects with T1D and PDR exhibit altered DNA methylation patterns in blood. Some of these epigenetic changes may predict the development of PDR, suggesting that DNA methylation may be used as a prospective marker of PDR.

The fat cell epigenetic signature in post-obese women is characterized by global hypomethylation and differential DNA methylation of adipogenesis genes.

Background/Objectives:Obese subjects have increased number of enlarged fat cells that are reduced in size but not in number in post-obesity. We performed DNA methylation profiling in fat cells with the aim of identifying differentially methylated DNA sites (DMS) linked to adipose hyperplasia (many small fat cells) in post-obesity.Subjects/Methods:Genome-wide DNA methylation was analyzed in abdominal subcutaneous fat cells from 16 women examined 2 years after gastric bypass surgery at a post-obese state (body mass index (BMI) 26±2 kg m–2, mean±s.d.) and from 14 never-obese women (BMI 25±2 kg m–2). Gene expression was analyzed in subcutaneous adipose tissue from nine women in each group. In a secondary analysis, we examined DNA methylation and expression of adipogenesis genes in 15 and 11 obese women, respectively.Results:The average degree of DNA methylation of all analyzed CpG sites was lower in fat cells from post-obese as compared with never-obese women (P=0.014). A total of 8504 CpG sites were differentially methylated in fat cells from post-obese versus never-obese women (false discovery rate 1%). DMS were under-represented in CpG islands and surrounding shores. The 8504 DMS mapped to 3717 unique genes; these genes were over-represented in cell differentiation pathways. Notably, 27% of the genes linked to adipogenesis (that is, 35 of 130) displayed DMS (adjusted P=10−8) in post-obese versus never-obese women. Next, we explored DNA methylation and expression of genes linked to adipogenesis in more detail in adipose tissue samples. DMS annotated to adipogenesis genes were not accompanied by differential gene expression in post-obese compared with never-obese women. In contrast, adipogenesis genes displayed differential DNA methylation accompanied by altered expression in obese women.Conclusions:Global CpG hypomethylation and over-representation of DMS in adipogenesis genes in fat cells may contribute to adipose hyperplasia in post-obese women.

Impact of polyunsaturated and saturated fat overfeeding on the DNA-methylation pattern in human adipose tissue: a randomized controlled trial

Background: Dietary fat composition can affect ectopic lipid accumulation and, thereby, insulin resistance. Diets that are high in saturated fatty acids (SFAs) or polyunsaturated fatty acids (PUFAs) have different metabolic responses.Objective: We investigated whether the epigenome of human adipose tissue is affected differently by dietary fat composition and general overfeeding in a randomized trial.Design: We studied the effects of 7 wk of excessive SFA (n = 17) or PUFA (n = 14) intake (+750 kcal/d) on the DNA methylation of ∼450,000 sites in human subcutaneous adipose tissue. Both diets resulted in similar body weight increases. We also combined the data from the 2 groups to examine the overall effect of overfeeding on the DNA methylation in adipose tissue.Results: The DNA methylation of 4875 Cytosine-phosphate-guanine (CpG) sites was affected differently between the 2 diets. Furthermore, both the SFA and PUFA diets increased the mean degree of DNA methylation in adipose tissue, particularly in promoter regions. However, although the mean methylation was changed in 1797 genes [e.g., alpha-ketoglutarate dependent dioxygenase (FTO), interleukin 6 (IL6), insulin receptor (INSR), neuronal growth regulator 1 (NEGR1), and proopiomelanocortin (POMC)] by PUFAs, only 125 genes [e.g., adiponectin, C1Q and collagen domain containing (ADIPOQ)] were changed by SFA overfeeding. In addition, the SFA diet significantly altered the expression of 28 transcripts [e.g., acyl-CoA oxidase 1 (ACOX1) and FAT atypical cadherin 1 (FAT1)], whereas the PUFA diet did not significantly affect gene expression. When the data from the 2 diet groups were combined, the mean methylation of 1444 genes, including fatty acid binding protein 1 (FABP1), fatty acid binding protein 2 (FABP2), melanocortin 2 receptor (MC2R), MC3R, PPARG coactivator 1 α (PPARGC1A), and tumor necrosis factor (TNF), was changed in adipose tissue by overfeeding. Moreover, the baseline DNA methylation of 12 CpG sites that was annotated to 9 genes [e.g., mitogen-activated protein kinase 7 (MAPK7), melanin concentrating hormone receptor 1 (MCHR1), and splicing factor SWAP homolog (SFRS8)] was associated with the degree of weight increase in response to extra energy intake.Conclusions: SFA overfeeding and PUFA overfeeding induce distinct epigenetic changes in human adipose tissue. In addition, we present data that suggest that baseline DNA methylation can predict weight increase in response to overfeeding in humans. This trial was registered at clinicaltrials.gov as NCT01427140.

Epigenetic and Transcriptional Alterations in Human Adipose Tissue of Polycystic Ovary Syndrome

Genetic and epigenetic factors may predispose women to polycystic ovary syndrome (PCOS), a common heritable disorder of unclear etiology. Here we investigated differences in genome-wide gene expression and DNA methylation in adipose tissue from 64 women with PCOS and 30 controls. In total, 1720 unique genes were differentially expressed (Q < 0.05). Six out of twenty selected genes with largest expression difference (CYP1B1, GPT), genes linked to PCOS (RAB5B) or type 2 diabetes (PPARG, SVEP1), and methylation (DMAP1) were replicated in a separate case-control study. In total, 63,213 sites (P < 0.05) and 440 sites (Q < 0.15) were differently methylated. Thirty differentially expressed genes had corresponding changes in 33 different DNA methylation sites. Moreover, a total number of 1913 pairs of differentially expressed “gene-CpG” probes were significantly correlated after correction for multiple testing and corresponded with 349 unique genes. In conclusion, we identified a large number of genes and pathways that are affected in adipose tissue from women with PCOS. We also identified specific DNA methylation pathways that may affect mRNA expression. Together, these novel findings show that women with PCOS have multiple transcriptional and epigenetic changes in adipose tissue that are relevant for development of the disease.

DNA methylation of loci within ABCG1 and PHOSPHO1 in blood DNA is associated with future type 2 diabetes risk

ABSTRACT Identification of subjects with a high risk of developing type 2 diabetes (T2D) is fundamental for prevention of the disease. Consequently, it is essential to search for new biomarkers that can improve the prediction of T2D. The aim of this study was to examine whether 5 DNA methylation loci in blood DNA (ABCG1, PHOSPHO1, SOCS3, SREBF1, and TXNIP), recently reported to be associated with T2D, might predict future T2D in subjects from the Botnia prospective study. We also tested if these CpG sites exhibit altered DNA methylation in human pancreatic islets, liver, adipose tissue, and skeletal muscle from diabetic vs. non-diabetic subjects. DNA methylation at the ABCG1 locus cg06500161 in blood DNA was associated with an increased risk for future T2D (OR = 1.09, 95% CI = 1.02–1.16, P-value = 0.007, Q-value = 0.018), while DNA methylation at the PHOSPHO1 locus cg02650017 in blood DNA was associated with a decreased risk for future T2D (OR = 0.85, 95% CI = 0.75–0.95, P-value = 0.006, Q-value = 0.018) after adjustment for age, gender, fasting glucose, and family relation. Furthermore, the level of DNA methylation at the ABCG1 locus cg06500161 in blood DNA correlated positively with BMI, HbA1c, fasting insulin, and triglyceride levels, and was increased in adipose tissue and blood from the diabetic twin among monozygotic twin pairs discordant for T2D. DNA methylation at the PHOSPHO1 locus cg02650017 in blood correlated positively with HDL levels, and was decreased in skeletal muscle from diabetic vs. non-diabetic monozygotic twins. DNA methylation of cg18181703 (SOCS3), cg11024682 (SREBF1), and cg19693031 (TXNIP) was not associated with future T2D risk in subjects from the Botnia prospective study.

Epigenetic programming of adipose-derived stem cells in low birthweight individuals

Aims/hypothesisLow birthweight (LBW) is associated with dysfunctions of adipose tissue and metabolic disease in adult life. We hypothesised that altered epigenetic and transcriptional regulation of adipose-derived stem cells (ADSCs) could play a role in programming adipose tissue dysfunction in LBW individuals.MethodsADSCs were isolated from the subcutaneous adipose tissue of 13 normal birthweight (NBW) and 13 LBW adult men. The adipocytes were cultured in vitro, and genome-wide differences in RNA expression and DNA methylation profiles were analysed in ADSCs and differentiated adipocytes.ResultsWe demonstrated that ADSCs from LBW individuals exhibit multiple expression changes as well as genome-wide alterations in methylation pattern. Reduced expression of the transcription factor cyclin T2 encoded by CCNT2 may play a key role in orchestrating several of the gene expression changes in ADSCs from LBW individuals. Indeed, silencing of CCNT2 in human adipocytes decreased leptin secretion as well as the mRNA expression of several genes involved in adipogenesis, including MGLL, LIPE, PPARG, LEP and ADIPOQ. Only subtle genome-wide mRNA expression and DNA methylation changes were seen in mature cultured adipocytes from LBW individuals.Conclusions/interpretationEpigenetic and transcriptional changes in LBW individuals are most pronounced in immature ADSCs that in turn may programme physiological characteristics of the mature adipocytes that influence the risk of metabolic diseases. Reduced expression of CCNT2 may play a key role in the developmental programming of adipose tissue.

Epigenetic alterations in blood mirror age-associated DNA methylation and gene expression changes in human liver

AIM To study the impact of aging on DNA methylation and mRNA expression in human liver. EXPERIMENTAL PROCEDURES We analysed genome-wide DNA methylation and gene expression in human liver samples using Illumina 450K and HumanHT12 expression BeadChip arrays. RESULTS DNA methylation analysis of ∼455,000 CpG sites in human liver revealed that age was significantly associated with altered DNA methylation of 20,396 CpG sites. Comparison of liver methylation data with published methylation data in other tissues showed that vast majority of the age-associated significant CpG sites overlapped between liver and blood, whereas a smaller overlap was found between liver and pancreatic islets or adipose tissue, respectively. We identified 151 genes whose liver expression also correlated with age. CONCLUSIONS We identified age-associated DNA methylation and expression changes in human liver that are partly reflected by epigenetic alterations in blood.