It is critically important to prescribe the right medications at the right time to get the best treatment results for patients. Our previous research has found ways to improve treatment strategies by understanding how different patients respond to the same treatments. This was done using information like patient demographics, medical history, and standard lab results. However, because cardiometabolic diseases (like hypertension, type 2 diabetes, and heart disease) have complex underlying causes, this clinical information alone may not be enough to fully understand a patient’s condition. To better personalize treatments, we plan to use advanced protein analysis (proteomics) to: 1) identify how different patients respond to treatments for cardiometabolic diseases, 2) understand the molecular reasons behind these different responses, and 3) determine the best use of each drug based on new proteomic biomarkers found in blood samples. By combining traditional clinical data with proteomic data, we hope to more accurately assess patient conditions and tailor treatments to improve outcomes.
