Dataset Information

DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?

ABSTRACT: Diabetes is a severe threat to global health. Almost 500 million people live with diabetes worldwide. Most of them have type 2 diabetes (T2D). T2D patients are at risk of developing severe and life-threatening complications, leading to an increased need for medical care and reduced quality of life. Improved care for people with T2D is essential. Actions aiming at identifying undiagnosed diabetes and at preventing diabetes in those at high risk are needed as well. To this end, biomarker discovery and validation of risk assessment for T2D are critical. Alterations of DNA methylation have recently helped to better understand T2D pathophysiology by explaining differences among endophenotypes of diabetic patients in tissues. Recent evidence further suggests that variations of DNA methylation might contribute to the risk of T2D even more significantly than genetic variability and might represent a valuable tool to predict T2D risk. In this review, we focus on recent information on the contribution of DNA methylation to the risk and the pathogenesis of T2D. We discuss the limitations of these studies and provide evidence supporting the potential for clinical application of DNA methylation marks to predict the risk and progression of T2D.

SUBMITTER: Raciti GA

PROVIDER: S-EPMC8584054 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?

Raciti Gregory Alexander GA Desiderio Antonella A Longo Michele M Leone Alessia A Zatterale Federica F Prevenzano Immacolata I Miele Claudia C Napoli Raffaele R Beguinot Francesco F

International journal of molecular sciences 20211028 21

Diabetes is a severe threat to global health. Almost 500 million people live with diabetes worldwide. Most of them have type 2 diabetes (T2D). T2D patients are at risk of developing severe and life-threatening complications, leading to an increased need for medical care and reduced quality of life. Improved care for people with T2D is essential. Actions aiming at identifying undiagnosed diabetes and at preventing diabetes in those at high risk are needed as well. To this end, biomarker discovery ...[more]

PMID: 34769081

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Project description:Aims/hypothesisDisorders of the reproductive system, including hypogonadism and reduced fertility, are an under-recognized complication of diabetes. Based on experimental data in mice, hyperglycemia and obesity may modify epigenetic marks in sperm and impact health and development of offspring, but data are more limited in humans. Thus, we sought to study the impact of type 2 diabetes and glycemic control on sperm quality and DNA methylation.MethodsIn this prospective cohort study, we recruited 40 men with BMI greater than 25 kg/m2 including 18 with type 2 diabetes, 6 with prediabetes, and 16 normoglycemic controls. Assessments were repeated after 3 months in 9 men with type 2 diabetes and 7 controls. We analyzed reproductive hormones, sperm concentration and motility, and sperm DNA methylation (MethylationEPIC BeadChip).ResultsMen with type 2 diabetes had higher levels of follicle-stimulating hormone (FSH), but similar testosterone levels and sperm quality as controls. Sperm DNA methylation was stable with repeat sampling at 3 months in men with and without type 2 diabetes. We identified differential methylation at 655 of 745,804 CpG sites in men with type 2 diabetes versus controls (FDR < 0.05). Of these, 96.5% showed higher methylation in type 2 diabetes, with a mean difference in DNA methylation (beta value, β) of 0.16 ± 0.004 (16 ± 0.4%). Ontology analysis of differentially methylated loci revealed annotation to genes regulating synaptic signaling, actin, cAMP-dependent pathways, and G protein-coupled receptor pathways. 24% of probes differentially regulated in men with type 2 diabetes versus control overlapped with probes associated with HbA1c, suggesting additional factors beyond glycemic control contributed to diabetes-associated differences in DNA methylation.Conclusions/interpretationMen with type 2 diabetes showed higher DNA methylation levels in sperm relative to normoglycemic controls with similar BMI. Whether these differences are reversible with glucose-lowering treatment or may contribute to post-fertilization transcriptional regulation warrants further investigation.Trial registrationNCT03860558.

Project description:BackgroundIndividuals with type 2 diabetes (T2D) face an increased mortality risk, not fully captured by canonical risk factors. Biological age estimation through DNA methylation (DNAm), i.e. the epigenetic clocks, is emerging as a possible tool to improve risk stratification for multiple outcomes. However, whether these tools predict mortality independently of canonical risk factors in subjects with T2D is unknown.MethodsAmong a cohort of 568 T2D patients followed for 16.8 years, we selected a subgroup of 50 subjects, 27 survived and 23 deceased at present, passing the quality check and balanced for all risk factors after propensity score matching. We analyzed DNAm from peripheral blood leukocytes using the Infinium Human MethylationEPIC BeadChip (Illumina) to evaluate biological aging through previously validated epigenetic clocks and assess the DNAm-estimated levels of selected inflammatory proteins and blood cell counts. We tested the associations of these estimates with mortality using two-stage residual-outcome regression analysis, creating a reference model on data from the group of survived patients.ResultsDeceased subjects had higher median epigenetic age expressed with DNAmPhenoAge algorithm (57.49 [54.72; 60.58] years. vs. 53.40 [49.73; 56.75] years; p = 0.012), and accelerated DunedinPoAm pace of aging (1.05 [1.02; 1.11] vs. 1.02 [0.98; 1.06]; p = 0.012). DNAm PhenoAge (HR 1.16, 95% CI 1.05-1.28; p = 0.004) and DunedinPoAm (HR 3.65, 95% CI 1.43-9.35; p = 0.007) showed an association with mortality independently of canonical risk factors. The epigenetic predictors of 3 chronic inflammation-related proteins, i.e. CXCL10, CXCL11 and enRAGE, C-reactive protein methylation risk score and DNAm-based estimates of exhausted CD8 + T cell counts were higher in deceased subjects when compared to survived.ConclusionsThese findings suggest that biological aging, as estimated through existing epigenetic tools, is associated with mortality risk in individuals with T2D, independently of common risk factors and that increased DNAm-surrogates of inflammatory protein levels characterize deceased T2D patients. Replication in larger cohorts is needed to assess the potential of this approach to refine mortality risk in T2D.

Dataset Information

DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?

Publications

DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?

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