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investigation of metabolites for estimating blood deposition time

Lech, Karolina, Liu, Fan, Davies, Sarah K., Ackermann, Katrin, Ang, Joo Ern, Middleton, Benita, Revell, Victoria L., Raynaud, Florence I., Hoveijn, Igor, Hut, Roelof A. , Skene, Debra J. and Kayser, Manfred (2017) investigation of metabolites for estimating blood deposition time International Journal of Legal Medicine, 132 (1). pp. 25-32.

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Abstract

Trace deposition timing reflects a novel concept in forensic molecular biology involving the use of rhythmic biomarkers for estimating the time within a 24-h day/night cycle a human biological sample was left at the crime scene, which in principle allows verifying a sample donor’s alibi. Previously, we introduced two circadian hormones for trace deposition timing and recently demonstrated that messenger RNA (mRNA) biomarkers significantly improve time prediction accuracy. Here, we investigate the suitability of metabolites measured using a targeted metabolomics approach, for trace deposition timing. Analysis of 171 plasma metabolites collected around the clock at 2-h intervals for 36 h from 12 male participants under controlled laboratory conditions identified 56 metabolites showing statistically significant oscillations, with peak times falling into three day/night time categories: morning/noon, afternoon/evening and night/early morning. Time prediction modelling identified 10 independently contributing metabolite biomarkers, which together achieved prediction accuracies expressed as AUC of 0.81, 0.86 and 0.90 for these three time categories respectively. Combining metabolites with previously established hormone and mRNA biomarkers in time prediction modelling resulted in an improved prediction accuracy reaching AUCs of 0.85, 0.89 and 0.96 respectively. The additional impact of metabolite biomarkers, however, was rather minor as the previously established model with melatonin, cortisol and three mRNA biomarkers achieved AUC values of 0.88, 0.88 and 0.95 for the same three time categories respectively. Nevertheless, the selected metabolites could become practically useful in scenarios where RNA marker information is unavailable such as due to RNA degradation. This is the first metabolomics study investigating circulating metabolites for trace deposition timing, and more work is needed to fully establish their usefulness for this forensic purpose.

Item Type: Article
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine
Authors :
NameEmailORCID
Lech, Karolina
Liu, Fan
Davies, Sarah K.
Ackermann, Katrin
Ang, Joo Ern
Middleton, BenitaB.Middleton@surrey.ac.uk
Revell, Victoria L.V.Revell@surrey.ac.uk
Raynaud, Florence I.
Hoveijn, Igor
Hut, Roelof A.
Skene, Debra J.D.Skene@surrey.ac.uk
Kayser, Manfred
Date : 5 August 2017
DOI : 10.1007/s00414-017-1638-y
Grant Title : Biotechnology and Biological Sciences Research Council (BBSRC)
Copyright Disclaimer : © The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords : Blood deposition time; Metabolites; Circadian biomarkers; mRNA; Trace time estimation
Additional Information : Erratum available at: https://doi.org/10.1007/s00414-017-1638-y (published 24/08/2017)
Depositing User : Clive Harris
Date Deposited : 28 Aug 2018 07:23
Last Modified : 11 Dec 2018 11:24
URI: http://epubs.surrey.ac.uk/id/eprint/849114

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