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Title: Blood transcriptome based biomarkers for human circadian phase

Laing, Emma, Moller-Levet, Carla, Poh, Norman, Santhi, Nayantara, Archer, Simon and Dijk, Derk-Jan (2017) Title: Blood transcriptome based biomarkers for human circadian phase eLife. pp. 1-26.

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Abstract

Diagnosis and treatment of circadian rhythm sleep-wake disorders requires assessment of circadian phase of the brain’s circadian pacemaker. The gold-standard univariate method is based on collection of a 24 h time series of plasma melatonin, a suprachiasmatic nucleus driven pineal hormone. We developed and validated a multivariate whole-blood mRNA based predictor of melatonin phase which requires few samples. Transcriptome data were collected under normal, sleep-deprivation and abnormal sleep-timing conditions to assess robustness of the predictor. Partial least square regression (PLSR), applied to the transcriptome, identified a set of 100 biomarkers primarily related to glucocorticoid signaling and immune function. Validation showed that PLSR-based predictors outperform published blood-derived circadian phase predictors. When given one sample as input, the R2 of predicted vs observed phase was 0.74, whereas for two samples taken 12 h apart, R2 was 0.90. This blood transcriptome based model enables assessment of circadian phase from a few samples.

Item Type: Article
Subjects : Biosciences and Medicine
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine
Authors :
NameEmailORCID
Laing, EmmaE.Laing@surrey.ac.ukUNSPECIFIED
Moller-Levet, CarlaC.Moller-Levet@surrey.ac.ukUNSPECIFIED
Poh, NormanN.Poh@surrey.ac.ukUNSPECIFIED
Santhi, NayantaraN.Santhi@surrey.ac.ukUNSPECIFIED
Archer, SimonSimon.Archer@surrey.ac.ukUNSPECIFIED
Dijk, Derk-JanD.J.Dijk@surrey.ac.ukUNSPECIFIED
Date : 20 February 2017
Identification Number : 10.7554/eLife.20214
Copyright Disclaimer : Copyright 2017 Laing et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 03 Feb 2017 08:49
Last Modified : 07 Jul 2017 09:06
URI: http://epubs.surrey.ac.uk/id/eprint/813439

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