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Journal article
Forensic biomarker discovery: Utilising metabolomics to elucidate prospective fatigue biomarkers for eventual roadside detection
Science & justice, Vol.65(4), 101278
2025
Abstract
Purpose
Approximately 20% of road fatalities can be attributed to driver fatigue; however, there are relatively few options available for police to specifically address this danger. Salivary biomarkers are a promising solution as saliva collection is non-invasive, quick, and easy to perform in roadside settings. Metabolomics is emerging as a useful tool for biomarker detection because it allows for the comprehensive profiling of small molecules, providing insights into subtle biochemical changes that may be 8associated with fatigue. This pilot study aims to explore the potential of metabolomic approaches in discovering fatigue biomarkers in saliva.
Methods
Saliva samples were collected from participants (n = 12) at baseline (well-rested) and following sleep deprivation. Participants also provided subjective ratings of perceived fatigue and cognitive inhibition was assessed via the three-minute psychomotor vigilance task (PVT). Saliva samples were analysed using proton nuclear magnetic resonance (1H NMR) spectroscopy. 1H NMR data was interrogated using multivariate (O-PLS) and univariate (Kruskal-Wallis, Spearman’s Correlation) analyses to identify metabolites associated with fatigue.
Results
O-PLS identified seven metabolites as potential biomarkers of fatigue, but only scyllo-inositol reached statistical significance when interrogated univariately. No significant correlation was observed between PVT scores and self-reported fatigue, raising questions about the validity of specifically the three-minute PVT, compared to either the five or ten-minute variety, as a measure of cognitive inhibition.
Conclusion
This pilot study highlights scyllo-inositol as a potential salivary biomarker for fatigue, but further validation in larger cohorts is necessary. Additionally, recommendations are made for improving similar research.
Details
- Title
- Forensic biomarker discovery: Utilising metabolomics to elucidate prospective fatigue biomarkers for eventual roadside detection
- Authors/Creators
- Aaron Hamilton - Medical, Molecular and Forensic Sciences, School of Veterinary and Life Sciences, Murdoch University, 90 South Street, Murdoch, Western Australia 6150, AustraliaLuke Whiley - Murdoch University, Centre for Computational and Systems MedicineMaria Kadyrov - Australian National Phenome Centre, Health Futures Institute, Murdoch University, Harry Perkins Building, 5 Robin Warren Drive, Murdoch, WA 6150, AustraliaBrendan Chapman - Murdoch University, School of Medical, Molecular and Forensic Sciences
- Publication Details
- Science & justice, Vol.65(4), 101278
- Publisher
- Elsevier B.V. on behalf of The Chartered Society of Forensic Sciences.; London
- Number of pages
- 11
- Identifiers
- 991005779519407891
- Copyright
- © 2025 The Authors.
- Murdoch Affiliation
- Australian National Phenome Centre; School of Medical, Molecular and Forensic Sciences; Centre for Computational and Systems Medicine
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Citation topics
- 2 Chemistry
- 2.211 Mass Spectrometry
- 2.211.990 Metabolomics
- Web Of Science research areas
- Medicine, Legal
- Pathology
- ESI research areas
- Clinical Medicine