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Type 2 diabetes typically manifests itself in adulthood, following years of progressively worsening health status, affecting multiple biological systems, pathways and organs. But beyond measuring HbA1c, it has been difficult and expensive to measure the impact of disease and/or interventions that might impact organ damage or risk.
Large-scale proteomics is an emerging field that has recently been shown to not only capture real-time health status, but also to predict or prognose risks of future organ damage, morbidity and mortality. Proteomic models, developed from multiple large clinical and observational studies, have been utilized here to provide a holistic summary of metabolic health and risk of future adverse outcomes from individuals undergoing diabetes intervention.
In this webcast, the impact of both therapeutic (drug) and lifestyle (diet and exercise) interventions will be discussed on a host of cardiometabolic and body composition measures in subjects undergoing intervention compared to placebo or standard of care. The speakers will discuss how these proteomic models can be implemented to design more precise treatment strategies for diabetic patients, moving the field ever closer to realizing the goal of providing personalized care.