Unlike type 2 diabetes, where prevention is possible, type 1 diabetes (T1D) is currently neither preventable nor curable and its incidence continues to rise approximately 3% per year. Thus, the continuing investigation of T1D complications remains imperative. The Epidemiology of Diabetes Complications (EDC) study has examined the prevalence and incidence of, and risk factors contributing to, T1D complications for 30 years. The study population is a well-defined cohort of childhood-onset T1D identified from the Children's Hospital of Pittsburgh Registry (diagnosis: 1950-80). All 658 participants attending a clinical exam at study entry (1986-88) have been subsequently followed for up to 30 years, leading to over 180 peer-reviewed publications. As of 6/1/2018, 220 (33%) have died and 396 (60%) are in active follow-up at a mean age of 56 (range 39-77) and T1D duration of 48 (38-68) years. With this renewal, we aim to preserve the infrastructure of the EDC study, allowing the continued use of the vast available resources collected over 30 years in furthering our understanding of the pathophysiology of T1D complications. A major objective is to continue documentation of the natural history of complications, with annual survey follow-up of active participants, which will also allow the continued documentation of disability, an important manifestation of aging. Another major objective is to use novel analytic methods (causal inference, networking and mixed graphical modeling) to explore this extensive data set of over 150 risk factors and 12 major outcomes. Given the amalgamation of repeated risk factor and outcome measures during more than 30 years of follow-up, these more complex analyses will help identify an interplay of factors across scales (clinical, blood biomarkers, molecular/genetic, etc.) may discover new mechanisms of complication development and thus point to new interventional strategies. We will also comprehensively evaluate the hypothesis that T1D is a state of accelerated aging by comparing novel, to the T1D field biomarkers of aging, and, with separate funding, DNA methylation age, between participants with T1D and non-diabetic control participants of the RETRO HDL study (stored samples/data will be used). Finally, given our findings of a strong, direct association between the Haptoglobin 2 allele and morbidity and mortality from cardiovascular and renal complications, we will assess whether the concentrations of biomarkers of aging differ across Haptoglobin genotypes in this T1D cohort. The proposed renewal will thus allow, for the first time, documentation of ?elderly? childhood-onset T1D and provide a unique insight into the accelerated aging seen in the T1D population.
/ Relevance to Public Health The significance of this proposal lies in the ability to further improve our understanding of the risk for, and pathogenesis of, type 1 diabetes complications over more than 50 year's duration. The focus on aging is also of significance as, in addition to the insights it will bring to the type 1 diabetes natural history, it may also inform our knowledge of aging in the general population. As currently type 1 diabetes is neither preventable nor curable, the continuing investigation of its complications remains imperative and the present study may both further our knowledge of the natural history of complications and also point to novel approaches to prevention and management with the proposed innovative analyses integrating multi-scale data.
|Williams, Katherine V; Cristaldi, Christina L; Miller, Rachel G et al. (2018) Celiac Autoimmunity Is Associated With Lower Blood Pressure and Renal Risk in Type 1 Diabetes. J Clin Endocrinol Metab 103:3828-3836|
|Ghai, Vikas; Wu, Xiaogang; Bheda-Malge, Anjalei et al. (2018) Genome-wide Profiling of Urinary Extracellular Vesicle microRNAs Associated With Diabetic Nephropathy in Type 1 Diabetes. Kidney Int Rep 3:555-572|
|Miller, Rachel G; Anderson, Stewart J; Costacou, Tina et al. (2018) Hemoglobin A1c Level and Cardiovascular Disease Incidence in Persons With Type 1 Diabetes: An Application of Joint Modeling of Longitudinal and Time-to-Event Data in the Pittsburgh Epidemiology of Diabetes Complications Study. Am J Epidemiol 187:1520-1529|
|Guo, Jingchuan; Miller, Rachel G; Costacou, Tina et al. (2018) Left ventricular systolic dysfunction predicts long-term major microvascular complication outcomes in type 1 diabetes. The Pittsburgh Epidemiology of Diabetes Complications (EDC) study of childhood onset diabetes. J Diabetes Complications 32:298-304|
|Ray, Evan C; Miller, Rachel G; Demko, John E et al. (2018) Urinary Plasmin(ogen) as a Prognostic Factor for Hypertension. Kidney Int Rep 3:1434-1442|
|Costacou, Tina; Orchard, Trevor J (2018) Cumulative Kidney Complication Risk by 50 Years of Type 1 Diabetes: The Effects of Sex, Age, and Calendar Year at Onset. Diabetes Care 41:426-433|
|Swasey, Krystal K; Orchard, Trevor J; Costacou, Tina (2018) Trends in cardiovascular risk factor management in type 1 diabetes by sex. J Diabetes Complications 32:411-417|
|Guo, Jingchuan; Erqou, Sebhat A; Miller, Rachel G et al. (2018) The role of coronary artery calcification testing in incident coronary artery disease risk prediction in type 1 diabetes. Diabetologia :|
|Bjornstad, P; Costacou, T; Miller, R G et al. (2017) Predictors of early renal function decline in adults with Type 1 diabetes: the Coronary Artery Calcification in Type 1 Diabetes and the Pittsburgh Epidemiology of Diabetes Complications studies. Diabet Med 34:1532-1540|
|Nunley, Karen A; Ryan, Christopher M; Aizenstein, Howard J et al. (2017) Regional Gray Matter Volumes as Related to Psychomotor Slowing in Adults with Type 1 Diabetes. Psychosom Med 79:533-540|
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