| Literature DB >> 27959859 |
Anette-G Ziegler1,2, Ezio Bonifacio3,4,5, Alvin C Powers6,7,8, John A Todd9, Leonard C Harrison10, Mark A Atkinson11.
Abstract
Type 1 diabetes, a disease defined by absolute insulin deficiency, is considered a chronic autoimmune disorder resulting from the destruction of insulin-producing pancreatic β-cells. The incidence of childhood-onset type 1 diabetes has been increasing at a rate of 3%-5% per year globally. Despite the introduction of an impressive array of therapies aimed at improving disease management, no means for a practical "cure" exist. This said, hope remains high that any of a number of emerging technologies (e.g., continuous glucose monitoring, insulin pumps, smart algorithms), alongside advances in stem cell biology, cell encapsulation methodologies, and immunotherapy, will eventually impact the lives of those with recently diagnosed or established type 1 diabetes. However, efforts aimed at reversing insulin dependence do not address the obvious benefits of disease prevention. Hence, key "stretch goals" for type 1 diabetes research include identifying improved and increasingly practical means for diagnosing the disease at earlier stages in its natural history (i.e., early, presymptomatic diagnosis), undertaking such efforts in the population at large to optimally identify those with presymptomatic type 1 diabetes, and introducing safe and effective therapeutic options for prevention.Entities:
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Year: 2016 PMID: 27959859 PMCID: PMC5860440 DOI: 10.2337/db16-0687
Source DB: PubMed Journal: Diabetes ISSN: 0012-1797 Impact factor: 9.461
Figure 1Infographic of the road to type 1 diabetes prevention. Data presented in the graph were modeled on published studies on multiple β-cell AAb incidence and progression to diabetes (2,9,10) and refer to 1,000 multiple β-cell AAb-positive cases expected to occur by age 20 years. Blue bars indicate the number of multiple β-cell AAb-positive children identified at each age who have not developed diabetes, and red bars indicate the number of children who have developed diabetes.
Raise acceptance for testing and early presymptomatic diagnosis
| Obstacle | Action |
|---|---|
| Psychological burden of knowing disease risk | Extend prediabetes expertise, teams, and teaching, including psychological counseling beyond research centers |
| Costs Who should pay? Equipoise | Economic modeling |
| Inability to accurately predict time to clinical disease | Identify markers for rapid disease progression |
| Burden of blood draw | Minimize test volume |
| Test quality Accreditation Certified status | Commercialize and certify high-throughput risk testing methods |
| Acceptance by health care providers Will they advise in favor of screening? | Increase lay and general practitioners’ knowledge about type 1 diabetes |
| Fear of employment/occupational discrimination | Address antidiscrimination laws |
Raise acceptance for type 1 diabetes prevention and broaden the scope for how it may occur
| Obstacle | Action |
|---|---|
| Insufficient awareness Short- and long-term risk of DKA and that DKA can be prevented DKA prevention can be an outcome of early screening | Increase awareness of DKA acute and long-term risk DKA prevalence |
| No evidence for efficient preventive therapy (except for DKA prevention by monitoring) | Develop path for faster trials and combinatorial treatments (faster recruitment, shorter trial duration, authority acceptance of combinations) |
| Insufficient understanding for need of randomized trials and placebo treatment (encountered among the general practice pediatrician) | Explore cross-over design, at least for mechanistic studies |
| Insufficient pipeline of therapies that could be tested in children | Engage pharma and expertise from other autoimmune disease areas |
| Lack of reproducible/universally acceptable biomarkers suggesting success in terms of pharmaceutical intervention | Develop programs for biomarker development paralleling trial conduction |
| Potential impact of disease heterogeneity on methods for prevention Within a given population Across different populations | Address specific age-groups and populations and develop more personalized therapies |
| Standard challenges associated with controlled trials Compliance Dropout Use of agents in control subjects | Improve trial Infrastructure Culture Expertise |
| Limited interest by big pharma and other agencies in trials whose outcomes take extensive periods of time | Interest pharma Identification of a market for prevention |
| Need for large populations to identify a statistically significant effect Not enough identified prediabetes cases for rapid trial recruitment | Broaden population-based screening beyond first-degree relatives |
| Lack of guidelines for standard care of prediabetes outside research setting | Implement guidelines for early stages and prevention |
| Costs of large trials and long-term commitment | Develop sustainable long-term programs |