Abstract
Abstract
Background
Too little sleep and the consequences thereof are a heavy burden in modern societies. In contrast to alcohol or illicit drug use, there are no quick roadside or workplace tests for objective biomarkers for sleepiness. We hypothesize that changes in physiological functions (such as sleep–wake regulation) are reflected in changes of endogenous metabolism and should therefore be detectable as a change in metabolic profiles. This study will allow for creating a reliable and objective panel of candidate biomarkers being indicative for sleepiness and its behavioral outcomes.
Methods
This is a monocentric, controlled, randomized, crossover, clinical study to detect potential biomarkers. Each of the anticipated 24 participants will be allocated in randomized order to each of the three study arms (control, sleep restriction, and sleep deprivation). These only differ in the amount of hours slept per night. In the control condition, participants will adhere to a 16/8 h wake/sleep regime. In both sleep restriction and sleep deprivation conditions, participants will accumulate a total sleep deficit of 8 h, achieved by different wake/sleep regimes that simulate real-life scenarios. The primary outcome is changes in the metabolic profile (i.e., metabolome) in oral fluid. Secondary outcome measures will include driving performance, psychomotor vigilance test, d2 Test of Attention, visual attention test, subjective (situational) sleepiness, electroencephalographic changes, behavioral markers of sleepiness, changes in metabolite concentrations in exhaled breath and finger sweat, and correlation of metabolic changes among biological matrices.
Discussion
This is the first trial of its kind that investigates complete metabolic profiles combined with performance monitoring in humans over a multi-day period involving different sleep–wake schedules. Hereby, we aim to establish a candidate biomarker panel being indicative for sleepiness and its behavioral outcomes. To date, there are no robust and easily accessible biomarkers for the detection of sleepiness, even though the vast damage on society is well known. Thus, our findings will be of high value for many related disciplines.
Trial registration
ClinicalTrials.gov Identifier NCT05585515, released on 18.10.2022; Swiss National Clinical Trial Portal SNCTP000005089, registered on 12 August 2022.
Funder
Fonds für Verkehrssicherheit FVS
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Medicine (miscellaneous)
Reference32 articles.
1. Seugnet L, Boero J, Gottschalk L, Duntley SP, Shaw PJ. Identification of a biomarker for sleep drive in flies and humans. PNAS. 2006;103(52):19913–8.
2. Tinguely G, Landolt HP, Cajochen C. Schlafgewohnheiten, Schlafqualität und Schlafmittelkonsum der Schweizer Bevölkerung – Ergebnisse aus einer neuen Umfrage bei einer repräsentativen Stichprobe. Ther Umsch. 2014;71(11):637–46.
3. Bundesamt für Strassen (ASTRA). Strassenverkehrsunfall-Statistik 2017–2021. 2022. Available from: https://www.astra.admin.ch/astra/de/home/dokumentation/daten-informationsprodukte/unfalldaten/statistische-auswertungen/standardstatistik.html [accessed 2023 Jan 08].
4. Cavegn M, Walter E, Scaramuzza G, Niemann S, Allenbach R, Stöcklin R. Beeinträchtigte Fahrfähigkeit von Motorfahrzeuglenkenden. Risikobeurteilung, Unfallanalyse und Präventionsmöglichkeiten. bfu – Beratungsstelle für Unfallverhütung, CH-3001 Bern, Switzerland. 2008.
5. Johns MW. A sleep physiologist’s view of the drowsy driver. Transport Res F: Traffic Psychol Behav. 2000;3(4):241–9.