Forensic age determination of human inflicted porcine bruises inflicted within 10 h prior to slaughter by application of gene expression signatures

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Forensic age determination of human inflicted porcine bruises inflicted within 10 h prior to slaughter by application of gene expression signatures. / Barington, Kristiane; Jensen, Henrik E.; Skovgaard, Kerstin.

In: Research in Veterinary Science, Vol. 120, 2018, p. 47-53.

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

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@article{84183407f32245c892804abd96365b66,
title = "Forensic age determination of human inflicted porcine bruises inflicted within 10 h prior to slaughter by application of gene expression signatures",
abstract = "Prediction-models based on gene expression profiles from experimental bruises are capable of determining the age of bruises with a precision of ±2 h. However, these models have not yet been applied on tissue from pigs in forensic cases requested by the police. We applied two prediction-models, based on mRNA expression of 13 (prediction-model no. 1) and 4 genes (prediction-model no. 2) involved in inflammation, on forensic cases of porcine bruises in order to determine if gene expression profiles can be used for age determination in forensic cases.Subcutaneous fat tissue from bruises notified to the police was sampled: 1) within 6 h after slaughter (group no. I, n = 142), and 2) after freezing the skin for up to 1 year (group no. II, n = 40). qPCR of genes involved in inflammation was performed to predict the bruise age after partial least squares analysis.mRNA expression data were obtained for 52.8{\%} and 7.5{\%} bruises in group nos. I and II, respectively. Prediction-model no. 2, based on the mRNA expression of Selectin E, Selectin P, Interleukin 6 and Nuclear Factor Kappa Beta Subunit1, was most suitable for predicting the age of bruises within 8 h prior to slaughter.In conclusion, mRNA expression profiles can assist in estimating the age of bruises. However, when applying gene expression signatures in forensic cases the age estimate should be interpreted together with histological manifestations. Subcutaneous tissue must be stabilized hours after the bruises are detected in order to obtain mRNA of a sufficient quality.",
keywords = "Bruise, Forensic pathology, mRNA, Pig, qPCR, Time factors",
author = "Kristiane Barington and Jensen, {Henrik E.} and Kerstin Skovgaard",
year = "2018",
doi = "10.1016/j.rvsc.2018.08.007",
language = "English",
volume = "120",
pages = "47--53",
journal = "Research in Veterinary Science",
issn = "0034-5288",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Forensic age determination of human inflicted porcine bruises inflicted within 10 h prior to slaughter by application of gene expression signatures

AU - Barington, Kristiane

AU - Jensen, Henrik E.

AU - Skovgaard, Kerstin

PY - 2018

Y1 - 2018

N2 - Prediction-models based on gene expression profiles from experimental bruises are capable of determining the age of bruises with a precision of ±2 h. However, these models have not yet been applied on tissue from pigs in forensic cases requested by the police. We applied two prediction-models, based on mRNA expression of 13 (prediction-model no. 1) and 4 genes (prediction-model no. 2) involved in inflammation, on forensic cases of porcine bruises in order to determine if gene expression profiles can be used for age determination in forensic cases.Subcutaneous fat tissue from bruises notified to the police was sampled: 1) within 6 h after slaughter (group no. I, n = 142), and 2) after freezing the skin for up to 1 year (group no. II, n = 40). qPCR of genes involved in inflammation was performed to predict the bruise age after partial least squares analysis.mRNA expression data were obtained for 52.8% and 7.5% bruises in group nos. I and II, respectively. Prediction-model no. 2, based on the mRNA expression of Selectin E, Selectin P, Interleukin 6 and Nuclear Factor Kappa Beta Subunit1, was most suitable for predicting the age of bruises within 8 h prior to slaughter.In conclusion, mRNA expression profiles can assist in estimating the age of bruises. However, when applying gene expression signatures in forensic cases the age estimate should be interpreted together with histological manifestations. Subcutaneous tissue must be stabilized hours after the bruises are detected in order to obtain mRNA of a sufficient quality.

AB - Prediction-models based on gene expression profiles from experimental bruises are capable of determining the age of bruises with a precision of ±2 h. However, these models have not yet been applied on tissue from pigs in forensic cases requested by the police. We applied two prediction-models, based on mRNA expression of 13 (prediction-model no. 1) and 4 genes (prediction-model no. 2) involved in inflammation, on forensic cases of porcine bruises in order to determine if gene expression profiles can be used for age determination in forensic cases.Subcutaneous fat tissue from bruises notified to the police was sampled: 1) within 6 h after slaughter (group no. I, n = 142), and 2) after freezing the skin for up to 1 year (group no. II, n = 40). qPCR of genes involved in inflammation was performed to predict the bruise age after partial least squares analysis.mRNA expression data were obtained for 52.8% and 7.5% bruises in group nos. I and II, respectively. Prediction-model no. 2, based on the mRNA expression of Selectin E, Selectin P, Interleukin 6 and Nuclear Factor Kappa Beta Subunit1, was most suitable for predicting the age of bruises within 8 h prior to slaughter.In conclusion, mRNA expression profiles can assist in estimating the age of bruises. However, when applying gene expression signatures in forensic cases the age estimate should be interpreted together with histological manifestations. Subcutaneous tissue must be stabilized hours after the bruises are detected in order to obtain mRNA of a sufficient quality.

KW - Bruise

KW - Forensic pathology

KW - mRNA

KW - Pig

KW - qPCR

KW - Time factors

U2 - 10.1016/j.rvsc.2018.08.007

DO - 10.1016/j.rvsc.2018.08.007

M3 - Journal article

VL - 120

SP - 47

EP - 53

JO - Research in Veterinary Science

JF - Research in Veterinary Science

SN - 0034-5288

ER -