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a new study suggests that proteins in the blood may in the future help provide a comprehensive "liquid health check" to assess our health and predict the likelihood of a range of diseases.
The study, published in Nature Medicine, showed that large-scale measurements of proteins in a blood test can provide important information about our health and can help predict a range of different diseases and risk factors.
The researchers scanned 5,000 proteins in plasma samples from 17,000 participants and measured about 85 million protein targets.
They then analyzed the results using statistical methods and machine learning techniques to build predictive models - for example, an individual with a protein pattern in the blood had an increased risk of developing diabetes.
These models cover a number of health conditions, including levels of liver fat, kidney function and visceral fat, alcohol consumption, physical activity and smoking behavior, and the risk of developing type 2 diabetes and cardiovascular disease.
The results showed that the accuracy of the model varied, some of which had higher predictive abilities, such as body fat rates, while others had moderate predictive abilities, such as the risk of cardiovascular disease.
The researchers report that protein-based models predict these indicators better than traditional risk factor-based models, or that they may constitute a more convenient and inexpensive alternative to traditional testing.
Many proteins are associated with many health conditions. For example, leptin, which regulates appetite and metabolism, is useful for predicting predictive models of body fat, visceral fat, physical activity, and health.
Dr Stephen Williams, Chief Medical Officer, SomaLogic, commented: "The discovery that plasma protein patterns alone can honestly depict such a wide range of common and important health problems is just the tip of the iceberg. "
more than 100 tests in the SomaSignal pipeline and believe that large-scale protein scanning has the potential to be the only source of information for personalized health assessments," he continued. Although the study shows proof of principle, the researchers say that as technology advances and prices fall, it is possible to conduct a comprehensive health assessment through a routine approach to health services using a series of protein models extracted from a single blood sample.
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(cyy123.com)