Proteins in the bloodstream can tell the possibility of developing diseases
According to a recent study, proteins in our blood could say to the likelihood of developing infections. Nature Medicine published today that proteins in the blood can provide comprehensive liquid health checks. Moreover, it can predict the risk of developing a series of serious health issues. Preventive medicine programs like Healthier You are improving the health of people and reducing the risk of developing diseases. Besides, the UK National Health Service provides inexpensive and effective health check-ups. As these healthcare strategies are cost-effective, they could add more personalized healthcare check-ups. Hence, it is essential to have detail information on a person’s health.
The data mining techniques on big data in healthcare applications are analyzing the largescale data sets to predict disease possibility. The healthcare applications are feasible to predict the risk of developing diseases based on blood protein data sets. This application also suggests a layered approach for preventing infections. Researchers from the UK and the USA are working with biotech company Somalogic for the protein study. The research shows that the measurement of proteins in a single blood test can provide valuable information about a person’s health.
Moreover, a single blood test can predict developing different diseases and risk factors. The human body contains 30000 different proteins. Some of these proteins enter the bloodstream by purposeful secretion to orchestrate biological processes in health or disease. Other proteins enter the bloodstream through leakage from cell damage.
Proteins entered in the bloodstream can inform the health status of the person. During the research, researchers studied 5 thousand plasma samples of nearly 17 thousand people. They found 85 million protein targets. Researchers analyzed the samples using machine learning predictive models. For example, a person is at high risk of developing diabetes if their blood has a pattern of specific proteins. Many of the proteins are associated with certain risk factors. For example, leptin, which modulates metabolism, was useful to predict percentage body fat and physical activities. The health application will become stronger, with more data sets. Predicting health risks using blood proteins will become more comfortable in the future.