news

New technology could predict the risk of type 2 diabetes

Researchers have announced a new technology-based approach that could lead to a more accurate identification of type 2 diabetes…

diabetes

Researchers have announced a new technology-based approach that could lead to a more accurate identification of people at high risk of type 2 diabetes.  

The researchers at the University of Glasgow have looked at the proteins present in the blood samples of people studied three year before they developed type 2 diabetes and compared these with samples from people of similar age and weight who maintained normal blood sugar over the same period.

Remarkably, both approaches flagged a series of molecules in the Epithelial-Mesenchymal Transition pathway. This is a series of changes in b-cells that may reflect a form of “stress” as they begin to lose their insulin-producing properties due to overwork. 

Professor John Petrie, at the Institute of Cardiovascular and Medical Sciences, University of Glasgow, said: “We are sharing the findings openly with the diabetes research community today in the hope that our findings can help in the global effort to tackle the ongoing pandemic of type 2 diabetes and its complications.”

 

Reserve your FREE place

 


Are you looking to optimise antibody leads in your drug discovery? Register for this webinar to find out how!

30 July 2025 | 10:00 AM BST | FREE Webinar

Join this webinar to hear from Dr. Lei Guo as she shares how early insights into liability, PK, stability, and manufacturability can help you optimise antibody leads in early drug discovery – and mitigate downstream risks later in development.

What You’ll Learn:

  • How to assess key developability risks early
  • How in silico modelling and in vitro testing can be combined to predict CMC risks earlier in discovery stage
  • How micro-developability strategies are tailored for complex or novel formats

Don’t miss your chance to learn from real-world leaders

Register Now – It’s Free!

 

It is hoped the findings, published in PLOS ONE, could one day help tackle the global increase of type 2 diabetes, which currently affects 415 million people worldwide and is predicted to rise to 642 million by 2040.    

Professor Petrie, said: “Many cases of type 2 diabetes could be prevented by earlier and more intense intervention to reduce calorie intake, increase physical activity and prevent the weight gain associated with modern lifestyles. “But a more accurate means of predicting those at greatest risk is an important part of that effort. This project is a great example of a productive collaboration between University and industry researchers, bringing cutting-edge technology to bear on an important public health issue, using carefully collected samples from well-characterised individuals.”  

Related topics
,

Related conditions

Related organisations

Related people

Leave a Reply

Your email address will not be published. Required fields are marked *