Blood fat levels predict the risk of type 2 diabetes and heart disease.





Levels of 184 fat molecules in the blood can help predict people at risk for type 2 diabetes and heart disease years before symptoms appear.


Doctors currently measure people's risk by measuring their body mass index, blood pressure, cholesterol levels and blood sugar. Some genetic profiles have also been linked to disease risk.


Chris Lauber of Lipotype GmbH, a biotech company in Germany, said in a press release: Can increase the toolkit. "


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Lauber and colleagues analyzed data from approximately 4,000 people who participated in a previous study in Sweden from 2010 to 2021. Their blood samples were analyzed with a mass spectrometer to measure 184 levels of fat - also called lipids.


The team used this information to train computer models first so that at the beginning of the actual study, a link could be established between type 2 diabetes or heart disease and lipid levels in two-thirds of people.


They used the models to calculate the risk of disease risk from lipid levels in the remaining third people who were not included in the training data set. They found that the new method was predicted to have the highest risk of type 2 diabetes in 10% of people, with a 168% higher rate of the disease, compared to the average rate in the study group.


The analysis found that predicting disease risk based on fat profiles was more accurate than using genetic data, and that using them together only slightly improved results compared to using lipid profiles. 


"We need a number of methods to accurately capture an individual's risk for [type 2 diabetes and heart disease].”] May be a new and effective means of preventing these diseases, which has a social burden.


Further studies are needed to confirm the results and prove whether these fats in the blood themselves cause the disease, or reflect other changes in the body's metabolism that cause the disease.


Mass spectrometers used to measure lipid profiles are available in some medical laboratories, but further work may also make it possible to measure blood fats more widely.


"We now have to develop a platform that can translate these interesting results into clinical trials," says Peter McCall of the Baker Heart and Diabetes Institute in Melbourne, Australia.














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