Monitoring Metabolic Status Predicting Decrements in Physiological and Cognitive Performance (2004) / Chapter Skim
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Appendix A: Examples of Physiological and Cognitive Markers of Performance
Appendix A: Examples of Physiological and Cognitive Markers of Performance
Pages 209-218
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A Examples of Physiological and Cognitive Markers of Performance 209
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This table summarizes outcome functions of various organs/systems/physiological/ psychological states and some intermediate biomarkers that might be used to predict or quantify these outcome functions and optimal performance. In general, it was felt that Blood Saliva Urine Blood
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Accurate measures of outcome function are often invasive and not applicable to field situations. More emphasis should be placed on developing noninvasive measures that accurately predict peak performance or catastrophic failure of a given organ/system or physiological/psychological state.
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In general, it was felt that no single intermediate biomarker accurately predicts outcome function. Accurate measures of outcome function are often invasive and not applicable to field situations.
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b Urinary cortisol measured in 24-hour urine reflects average cortisol secretion over 24 hours.
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214 MONITORING METABOLIC STA TUS TABLE A-3 Examples of Bone Markers Tissue, Organ, Function Intermediate Marker Source Bone Collagen breakdown products Plasma Carboxy-terminal telepeptide Urine Deoxypridinoline Hydroproline N-telepeptide Pyridinoline Cytokines Interleukin-1 and-6 Tumor necrosis factor Transforming growth factor Endocrine markers Calcitonin Growth hormone Insulin-like growth factor-1 Osteocalcin Parathyroid hormone Thyroid hormones Enzymes Alkaline phosphatase Bone-specific alkaline Phosphatase Resorption markers 24-hour urinary calcium Calcium balance Phosphatase Tartrate-resistant acid NOTE: Metabolic monitoring biomarkers can be categorized according to outcome function or intermediate measure that can be quantified to reflect the outcome function. This table summarizes outcome functions of various organs/systems/physiological/ psychological states and some intermediate biomarkers that might be used to predict or quantify these outcome functions and optimal performance.
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More emphasis should be placed on developing noninvasive measures that accurately predict peak performance or catastrophic failure of a given organ/system or physiological/psychological state.
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Urine Muscle Oxygen and carbon dioxide saturation NOTE: Metabolic monitoring biomarkers can be categorized according to outcome function or intermediate measure that can be quantified to reflect the outcome function. This table summarizes outcome functions of various organs/systems/ physiological/psychological states and some intermediate biomarkers that might be used to predict or quantify these outcome functions and optimal performance.
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a Salivary cytokine concentrations vary according to salivary gland source from which saliva is collected and presence and degree of periodontal disease. b 24-hour urine for Interleukin-6 and soluble receptors for tumor necrosis factor normalized to creatine are currently used and are sensitive measures of cytokine production.
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