Cold- and Cryo-RBC blood doping: Enhanced biomarker detectability by AI-driven cell sorting and Biofiltration

Code: 25T242B04CM

Autologous blood transfusion (ABT) using cryo-preserved red blood cells (Cryo-RBC) is a method that will enhance athletic performance in endurance events. Cryo-RBC can be stored longer than regular cold-stored RBC, making them a better option for athletes who might use blood transfusions as a form of doping. Our research aims to create a reliable test to identify Cryo-RBC in blood using specific markers.

In our earlier studies we used various techniques to analyze blood samples after doping humans by ABT. While we developed strong models to predict ABT, they didn't always work well with real-world samples. This is due to individual differences in blood responses, random breakdown of proteins, and the small amount of Cryo-RBC present in the blood after transfusion.

Before conducting more studies, we must improve how we sort and concentrate Cryo-RBC. We plan to use several methods to detect the specific markers for Cryo-RBC better:

Fluid Properties: Changes in the physical properties of Cryo-RBC can be seen after freezing, which may help us identify them.

AI Sorting: Advanced AI technology can analyze and sort Cryo-RBC based on their shape and structure.

Biological Filters: Tiny particles released from red blood cells can help us focus on damaged proteins and peptides from Cryo-RBC.

By combining these methods, we aim to improve our ability to detect blood doping using Cryo-RBC. We have several goals, including understanding the fluid properties of Cryo-RBC, sorting them using AI, and concentrating specific biomarkers to help in identifying ABT. Overall, this research could lead to better methods for detecting blood doping in sports.