Predicting Disease with Protein Biomarkers

Researchers used a high throughput and sensitive protein detection platform to identify telltale protein biomarkers for cardiovascular disease. 

Cardiovascular disease is the leading cause of death worldwide. Circulating proteins in biological fluids respond dynamically to medication and lifestyle changes and may signal changes in cardiovascular risk. Monitoring these protein biomarkers would greatly help researchers and clinicians alike, but most protein detection methods lack the sensitivity and throughput to effectively identify and monitor dynamic protein changes. 

Download this article from SomaLogic to learn how one research team used a powerful new protein detection platform to develop a novel protein-based model that reliably predicted changes in cardiovascular risk. 

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