Urinary Metabolite Profiles May be Predictive of Cognitive Performance Under Conditions of Acute Sleep Deprivation

Background: Continuous and sustained actions in military and civilian operational environments typically lead to reduced sleep normally required to perform optimally. Because cognitive fatigue leading to defects in performance is an occupational hazard, there is a recognized need for real-time detec...

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Main Authors: DelRiso,Nicholas J, Harville,Donald L, Chamberlain,Mari L, Anderson,Paul E, Sibomana,Isaie, Raymer,Michael L, Reo,Nicholas V
Format: Report
Language:English
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Summary:Background: Continuous and sustained actions in military and civilian operational environments typically lead to reduced sleep normally required to perform optimally. Because cognitive fatigue leading to defects in performance is an occupational hazard, there is a recognized need for real-time detection technologies thatminimize cognitive fatigue-induced mishaps. Methods: Here 23, individuals were subjected to 36 h of continuous wakefulness, and cognitive psychomotor vigilance andautomated neuropsychological assessment metric test were conducted over the last 24 h of wakefulness. Urine was collected prior to and during the cognitive testing periodfor metabolite analysis using proton NMR spectroscopy. Results: Multivariate statistical analysis showed that temporal changes in urinary metabolite profiles mirroredcognitive performance during continuous wakefulness. Additionally, subjects identified by cognitive assessments as having a high tolerance (n=6) or low tolerance (n=6) tosleep deprivation could be classified separately with statistical confidence (p0.001) using urinary metabolite profiles. We identified 20 specific metabolites that could beused to classify cognitive fatigue tolerance at early (0-12h) and late (28h) times during the 36-h sleep deprivation period. Man of these metabolites (11 of 20) appeared to beassociated with energy metabolism or nutritional status. Analysis of subject food logs suggested that increase in dietary protein intake prior to sleep deprivation lead toimproved cognitive performance. Conclusion: Taken together, our results indicate that urinary metabolomics may be useful for identifying metabolite markers that can beincorporate into sensor platforms to screen for cognitive performance readiness, prior to scheduling tasks requiring a high level of cognitive function. Current Metabolomics , 01 Jan 0001, 01 Jan 0001,