Molecular biomarkers
We have contributed substantially to the human sleep/circadian biomarker field through our work on blood-based transcriptome biomarkers.
Overview
Through studying individuals under conditions of sleep restriction and circadian misalignment, we have identified novel machine learning-based methods of predicting circadian phase and sleep loss from just one or two blood samples.
Currently, we are focused on exploring novel biomarkers in clinical populations to determine the relationship between sleep/circadian system and disease progression, as well as to look for predictors of disease susceptibility.
Selected publications
Magee M, Sletten TL, Murray JM, Gordon CJ, Lovato N, Bartlett DJ, Kennaway DJ, Lockley SW, Lack LC, Grunstein RR, Archer SN, Rajaratnam SMW; Delayed Sleep on Melatonin (DelSoM) Study Group (2020) . J Pineal Res. 2020 Nov;69(4):e12684. doi: 10.1111/jpi.12684
Laing EE, Möller-Levet CS, Dijk DJ, Archer SN (2018). SLEEP doi:10.1093/sleep/zsy186
Archer SN, Laing EE, Möller-Levet CS, van der Veen DR, Bucca G, Lazar AS, Santhi N, Slak A, Kabiljo R, von Schantz M, Smith CP, Dijk DJ (2014) . PNAS 111(6):E682-91
Dijk DJ, Duffy JF. J Biol Rhythms. 2020 Oct;35(5):421-438. doi: 10.1177/0748730420940483. Epub 2020 Jul 23. PMID: 32700634; PMCID: PMC7543025.
