Active Diabetes, Hormones & Metabolism NIHR-supported project Cancer

TOPMAD Towards precision medicine in autoimmune diabetes through identifying signatures of beta-cell autoimmunity

In plain English

AI plain-English summary

A person’s own immune system can attack the insulin-producing beta-cells in the pancreas in several distinct ways, and this project aims to map those different attack routes for the first time. This matters because type 1 diabetes is currently treated as a single disease, but the immune attack that destroys beta-cells may vary from patient to patient. Without knowing which immune pathway is active, doctors cannot match treatments to the underlying cause. The researchers will study people with rare, extreme forms of autoimmune diabetes where the exact genetic trigger is already known. By comparing their immune profiles to those of people with standard type 1 diabetes, the team hopes to identify distinct “signatures” of beta-cell autoimmunity. If successful, this work could shift diabetes care from a one-size-fits-all approach toward precision medicine. Instead of broadly suppressing the immune system, future drugs could be targeted to block only the specific autoimmune pathway at work in a given patient. This is fundamental science with a clear translational goal: the signatures themselves are not treatments, but they would provide the diagnostic tool needed to design and test smarter, more personalised prevention strategies for type 1 diabetes.

View original technical description
The aim of this research is to improve health outcomes for people living with autoimmune diabetes by providing better understanding of the ways it develops. We propose to study cases with rare and extreme forms of autoimmune diabetes (‘monogenic autoimmune diabetes’) to better understand the different ways autoimmune diabetes happens. Like in type 1 diabetes, these individuals have autoimmune diabetes because their own immune system attacks their beta-cells, however in contrast to type 1 diabetes we know their precise immune pathway from genetics. By studying what their immune systems look like we will provide a way to identify the different ways the autoimmune attack happens in type 1 diabetes. This could then lead to better targeting of drugs to prevent type 1 diabetes in the future.

Researchers

Matthew Johnson (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Unlocking the translational potential of extreme forms of autoimmune diabetes by uncovering heterogeneous mechanisms of beta-cell autoimmunity
Diabetes and Inflammation Laboratory.
Use of AI-driven technologies to determine a differential and prognostic signature of autoimmune diabetes subtypes
Uncovering new genetic mechanisms that underlie extreme early-onset type 1 diabetes
Exe-T1D Understanding beta-cell destruction throught the study of Extremely Early-onset autoimmune diabetes

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