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Evaluation of mRNA markers for estimating blood deposition time: Towards alibi testing from human forensic stains with rhythmic biomarkers

Lech, K, Liu, F, Ackermann, K, Revell, VL, Lao, O, Skene, DJ and Kayser, M (2016) Evaluation of mRNA markers for estimating blood deposition time: Towards alibi testing from human forensic stains with rhythmic biomarkers FORENSIC SCIENCE INTERNATIONAL-GENETICS, 21. pp. 119-125.

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Abstract

Determining the time a biological trace was left at a scene of crime reflects a crucial aspect of forensic investigations as – if possible – it would permit testing the sample donor’s alibi directly from the trace evidence, helping to link (or not) the DNA-identified sample donor with the crime event. However, reliable and robust methodology is lacking thus far. In this study, we assessed the suitability of mRNA for the purpose of estimating blood deposition time, and its added value relative to melatonin and cortisol, two circadian hormones we previously introduced for this purpose. By analysing 21 candidate mRNA markers in blood samples from 12 individuals collected around the clock at 2 h intervals for 36 h under real-life, controlled conditions, we identified 11 mRNAs with statistically significant expression rhythms. We then used these 11 significantly rhythmic mRNA markers, with and without melatonin and cortisol also analysed in these samples, to establish statistical models for predicting day/night time categories. We found that although in general mRNA-based estimation of time categories was less accurate than hormone-based estimation, the use of three mRNA markers HSPA1B, MKNK2 and PER3 together with melatonin and cortisol generally enhanced the time prediction accuracy relative to the use of the two hormones alone. Our data best support a model that by using these five molecular biomarkers estimates three time categories, i.e. night/early morning, morning/noon, and afternoon/evening with prediction accuracies expressed as AUC values of 0.88, 0.88, and 0.95, respectively. For the first time, we demonstrate the value of mRNA for blood deposition timing and introduce a statistical model for estimating day/night time categories based on molecular biomarkers, which shall be further validated with additional samples in the future. Moreover, our work provides new leads for molecular approaches on time of death estimation using the significantly rhythmic mRNA markers established here.

Item Type: Article
Subjects : Biosciences
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine > Department of Biochemical Sciences
Authors :
AuthorsEmailORCID
Lech, KUNSPECIFIEDUNSPECIFIED
Liu, FUNSPECIFIEDUNSPECIFIED
Ackermann, KUNSPECIFIEDUNSPECIFIED
Revell, VLUNSPECIFIEDUNSPECIFIED
Lao, OUNSPECIFIEDUNSPECIFIED
Skene, DJUNSPECIFIEDUNSPECIFIED
Kayser, MUNSPECIFIEDUNSPECIFIED
Date : 1 March 2016
Identification Number : 10.1016/j.fsigen.2015.12.008
Copyright Disclaimer : © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Science & Technology, Life Sciences & Biomedicine, Genetics & Heredity, Medicine, Legal, Legal Medicine, Forensic time estimation, Blood deposition time, Circadian hormones, Rhythmic gene expression, mRNA, PERIPHERAL CIRCADIAN CLOCKS, BODY-FLUID IDENTIFICATION, GENE-EXPRESSION, SLEEP-DEPRIVATION, MONONUCLEAR-CELLS, BIOLOGICAL CLOCK, EYE COLOR, RT-PCR, MELATONIN, CORTISOL
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 21 Apr 2016 12:14
Last Modified : 21 Apr 2016 12:14
URI: http://epubs.surrey.ac.uk/id/eprint/810290

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