New approach enhances prediction of type 1 diabetes among susceptible children

A new approach to predicting which babies will develop type 1 diabetes moves a step closer to routine testing for newborns which could avoid life-threatening complications.

Scientists at seven international sites have followed 7,798 children at high risk of developing type 1 diabetes from birth, over nine years, in The Environmental Determinants of Diabetes in the Young (TEDDY) Study. The TEDDY Study is a large international study funded primarily by the US National Institutes of Health and U.S. Centers for Disease Control, as well as by the charity JDRF.

In research published in Nature Medicine, scientists at the University of Exeter and the Pacific Northwest Research Institute in Seattle used the TEDDY data to develop a method of combining multiple factors that could influence whether a child is likely to develop type 1 diabetes. The combined risk score approach incorporates genetics, clinical factors such as family history of diabetes, and their count of islet autoantibodies - biomarkers known to be implicated in type 1 diabetes.

The research team found that the new combined approach dramatically improved prediction of which children would develop type 1 diabetes, potentially allowing better diabetes risk counselling of families. Most importantly, the new approach doubled the efficiency of programmes to screen newborns to prevent the potentially deadly condition of ketoacidosis, a consequence of type 1 diabetes in which insulin deficiency causes the blood to become too acidic. Identifying which children are at highest risk will also benefit clinical trials on drugs that are showing promise in preventing the condition.

Dr Lauric Ferrat at the University of Exeter Medical School, said: "At the moment, 40 per cent of children who are diagnosed with type 1 diabetes have the severe complication of ketoacidosis. For the very young this is life-threatening, resulting in long intensive hospitalizations and in some cases even paralysis or death. Using our new combined approach to identify which babies will develop diabetes can prevent these tragedies, and ensure children are on the right treatment pathway earlier in life, meaning better health."

We're really excited by these findings. They suggest that the routine heel prick testing of babies done at birth, could go a long way towards preventing early sickness as well as predicting which children will get type 1 diabetes years later. We're now putting this to the test in a trial in Washington State. We hope it will ultimately be used internationally to identify the condition as early as possible, and to power efforts to prevent the disease."

Professor William Hagopian of the Pacific Northwest Research Institute

Researchers believe the combined approach can also be rolled out to predict the onset of other diseases with a strong genetic component that are identifiable in childhood, such as celiac disease.

Sanjoy Dutta, JDRF Vice President of Research, said:" We know that while genetics have a strong correlation as a risk factor for family members to develop T1D, most newly diagnosed individuals do not have a known family history. JDRF has been exploring the non-genetic, environmental risk factors that trigger T1D to help develop treatments to forestall or prevent disease onset."

Source:
Journal reference:

Ferrat, L.A., et al. (2020) A combined risk score enhances prediction of type 1 diabetes among susceptible children. Nature Medicine. doi.org/10.1038/s41591-020-0930-4.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study reveals gaps in gestational diabetes diagnosis in pregnant women