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Updated: Jun 23, 2026

Regulatory T cells: Therapeutic Potential for Treating Transplant Rejection and Type I Diabetes
Published on: August 20, 2007
How can we improve the translational landscape for a faster cure of type 1 diabetes?
Matthias von Herrath1, Andrew Chan
1La Jolla Institute for Allergy and Immunology, California 92037, USA. matthias@liai.org
Abstract:
Translation of novel therapies for type 1 diabetes and other autoimmune diseases to the clinic has been slow despite significant new initiatives from funding agencies. One reason for this is that different incentives drive industry, academia, and funding bodies. These communities therefore lack common goals and often communicate poorly, resulting in unintended obstacles that hamper progress in efficiently translating basic scientific discoveries into medical practice. Here, based on our own personal experiences, we discuss some of the drivers within each community that cause these problems, existing mechanisms to facilitate the translation of science into medical practice, and remaining issues that need to be solved.
Insights
Translating new treatments for type 1 diabetes and autoimmune diseases is slow due to misaligned goals and poor communication between industry, academia, and funding bodies, hindering medical progress.
Area of Science:
- Immunology
- Translational Medicine
- Endocrinology
Background:
- Translational research for autoimmune diseases like type 1 diabetes faces significant delays.
- Novel therapeutic development is hampered by disparate incentives across research sectors.
Purpose of the Study:
- To identify key barriers in translating scientific discoveries into clinical practice for autoimmune diseases.
- To analyze the differing objectives of industry, academia, and funding bodies in therapeutic development.
Main Methods:
- Qualitative analysis of personal experiences within the research and development ecosystem.
- Discussion of existing translational science facilitation mechanisms.
- Identification of persistent challenges in medical practice implementation.
Main Results:
- Divergent goals and communication gaps between industry, academia, and funding bodies create obstacles.
- Existing translational mechanisms are insufficient to overcome these systemic issues.
- Specific drivers within each sector contribute to the slow pace of clinical translation.
Conclusions:
- Addressing misaligned incentives and improving inter-community communication is crucial for accelerating the translation of autoimmune disease therapies.
- Further development of translational science infrastructure is needed to bridge the gap between basic research and clinical application.
- Overcoming these challenges will enhance the efficient delivery of novel treatments to patients.
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