Natural history of type 1 diabetes
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Stages of type 1 diabetes
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• Intervention in those with two or more autoantibodies represents treatment of islet autoimmunity
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• The objective of the abatacept prevention trial is to delay progression from stage 1 to stage 2
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• Progression between stages can be used to define intermediate end points for clinical trials
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• Studies into mechanisms underlying progression between stages 1, 2, and 3 and key transition from single to multiple autoantibodies
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Rapid decline in β-cell function occurs 6–12 months prior to clinical diagnosis
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• This “cliff edge” for loss of β-cell function suggests this is a key time for intervention
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• Future studies may use β-cell function as entry/end point for trials at stage 1 and/or stage 2
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• The cause of this rapid change in β-cell function needs to be understood
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• Studies into immune mechanisms associated with onset of rapid decline
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Age is a major determinant of the clinical course of type 1 diabetes at all stages of disease
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• Mechanisms underlying the effect of age are unknown
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• Studies into immune and genetic mechanisms underlying age effect
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• Age of participants must be considered in clinical trial design
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• Inclusion criteria and analytic plan for the teplizumab prevention trial vary by age
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Disease-modifying therapies
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• Immunotherapy “works” in type 1 diabetes, though the effect wanes
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• Future studies with sequential therapy and/or repeat dosing
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• Changes in C-peptide after clinical diagnosis are predictable
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• Standard definitions of responder/nonresponder to disease-modifying therapy
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• C-peptide secretion falls most rapidly over the first 6 months after diagnosis
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• Characterizing immune changes in the “therapeutic window” 0–6 months post-diagnosis
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• Heterogeneity of the disease process, both within and between stages, is likely to demand appropriately tailored therapeutic approaches
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• Investigating how “early” disease differs from “late” disease, including drug responsiveness and determinants of persistent C-peptide secretion after diagnosis
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Efficiencies in clinical trials |
• Social media and peer-to-peer outreach
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• Metrics to determine best practices
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• Processes and procedures to ease burdens for participants
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• Home capillary testing
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• Use of CIRB in U.S.
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• Online consenting
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• Evaluate impact of transition on sites and network |