ArticleClinical epigenetics2020
DNA methylation age calculators reveal association with diabetic neuropathy in type 1 diabetes.
Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 44 citations in OpenAlex.
- Analysis of second-generation epigenetic clocks reveals further associations between disproportionate biological ageing and hippocampal volume.GeroScience · 2026Article
- Associations of Multiomics Biological Aging With Diabetic Retinopathy and Life Expectancy.Investigative ophthalmology & visual science · 2026Article
- Analysis of blood-based DNA methylation signatures of aging and disease progression in inflammatory bowel disease.Human genetics · 2025Article
- Environmental Mechanisms Influencing the Pathogenesis and Progression of Type 1 Diabetes.International journal of molecular sciences · 2025Review
- Article
- Unveiling the impact of DNA-methylation age acceleration on mortality risk in diabetes and pre-diabetes: insights from the US NHANES program.Clinical epigenetics · 2025Article
- CpG methylation changes associated with hyperglycemia in type 1 diabetes occur at angiogenic glomerular and retinal gene loci.Scientific reports · 2025Article
- Methylation and algorithms in biological aging: a scoping review.Frontiers in aging · 2025Review
- Advances in the Epigenetic Mechanisms of Diabetic Nephropathy Pathogenesis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Review
- Identification and validation of key extracellular proteins as the potential biomarkers in diabetic nephropathy.European journal of medical research · 2024Article
- Retrotransposons and Diabetes Mellitus.Epigenomes · 2024Review
- Article
- Accelerated epigenetic aging in women with emotionally unstable personality disorder and a history of suicide attempts.Translational psychiatry · 2023Article
- Within subject cross-tissue analyzes of epigenetic clocks in substance use disorder postmortem brain and blood.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2023Article
- Evaluation of Epigenetic Age Acceleration Scores and Their Associations with CVD-Related Phenotypes in a Population Cohort.Biology · 2022Article
- Dimensions of childhood adversity differentially affect biological aging in major depression.Translational psychiatry · 2022Article
- Towards prevention of diabetic peripheral neuropathy: clinical presentation, pathogenesis, and new treatments.The Lancet. Neurology · 2022Review
- Epigenetics of type 2 diabetes mellitus and weight change - a tool for precision medicine?Nature reviews. Endocrinology · 2022Review
- Evaluation of short-term epigenetic age fluctuation.Clinical epigenetics · 2022Article
- Accelerated epigenetic aging in suicide attempters uninfluenced by high intent-to-die and choice of lethal methods.Translational psychiatry · 2022Article
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundMany CpGs become hyper or hypo-methylated with age. Multiple methods have been developed by Horvath et al. to estimate DNA methylation (DNAm) age including Pan-tissue, Skin & Blood, PhenoAge, and GrimAge. Pan-tissue and Skin & Blood try to estimate chronological age in the normal population whereas PhenoAge and GrimAge use surrogate markers associated with mortality to estimate biological age and its departure from chronological age. Here, we applied Horvath's four methods to calculate and compare DNAm age in 499 subjects with type 1 diabetes (T1D) from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study using DNAm data measured by Illumina EPIC array in the whole blood. Association of the four DNAm ages with development of diabetic complications including cardiovascular diseases (CVD), nephropathy, retinopathy, and neuropathy, and their risk factors were investigated.
resultsPan-tissue and GrimAge were higher whereas Skin & Blood and PhenoAge were lower than chronological age (p < 0.0001). DNAm age was not associated with the risk of CVD or retinopathy over 18-20 years after DNAm measurement. However, higher PhenoAge (β = 0.023, p = 0.007) and GrimAge (β = 0.029, p = 0.002) were associated with higher albumin excretion rate (AER), an indicator of diabetic renal disease, measured over time. GrimAge was also associated with development of both diabetic peripheral neuropathy (OR = 1.07, p = 9.24E-3) and cardiovascular autonomic neuropathy (OR = 1.06, p = 0.011). Both HbA1c (β = 0.38, p = 0.026) and T1D duration (β = 0.01, p = 0.043) were associated with higher PhenoAge. Employment (β = - 1.99, p = 0.045) and leisure time (β = - 0.81, p = 0.022) physical activity were associated with lower Pan-tissue and Skin & Blood, respectively. BMI (β = 0.09, p = 0.048) and current smoking (β = 7.13, p = 9.03E-50) were positively associated with Skin & Blood and GrimAge, respectively. Blood pressure, lipid levels, pulse rate, and alcohol consumption were not associated with DNAm age regardless of the method used.
conclusionsVarious methods of measuring DNAm age are sub-optimal in detecting people at higher risk of developing diabetic complications although some work better than the others.
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