Biomarker Based Matrix That Predicts Levels of Physical and Cognitive Performance

The objective of this proposal is to identify a matrix consisting of 4-20 protein and peptide biomarkers that predict near-term physical and cognitive performance capabilities in humans. The ultimate goal is a technology that can be used to predict near-term performance capability using the matrix. During phase I, a human study involving an 8-hour period of intense physical exercise will be used for demonstration of proof-of-concept. Biosamples (saliva, urine and blood) will be obtained and physical performance tests performed at various times during the study. SELDI and MALDI mass spectrometry will be used for analysis. Biomarkers will be identified using standard comparative methods. It is anticipated that many endogenous substances including enzymes and oxidant-modified proteins will increase during the exercise but may not be associated with performance decrement. In order to identify biomarkers that are related to physical performance, a double-blind, placebo controlled study using a nutritional intervention known to produce a significant improvement in physical performance during the last hours of the exercise regimen will be completed. Comparison of biomarker profiles from individuals that receive the intervention and show improvement and those that do not will identify biomarker candidates that are unequivocally associated with performance.