Literature DB >> 28466139

Forensic aspects of gene expression signatures for age determination in bruises as evaluated in an experimental porcine model.

Kristiane Barington1, Henrik Elvang Jensen2, Kerstin Skovgaard3.   

Abstract

Determining the age of bruises and the force used to inflict the trauma is of crucial importance in both human and veterinary forensic pathology. In the present study, the expression of more than 50 different genes in subcutaneous fat and muscle tissue from experimental bruises in pigs was investigated. The aim was to evaluate if expression signatures of selected genes were capable of determining bruises according to age and the force of impact. Eighteen experimental pigs were anesthetized, and on each animal four blunt traumas were inflicted on the back with a low, moderate or high force. The pigs were euthanized from 1 to 10 h after infliction of the trauma and subcutaneous fat and muscle tissues were sampled. As control, subcutaneous fat and muscle tissues were sampled from two un-injured pigs. Quantitative real-time polymerase chain reaction was performed to evaluate mRNA expression of genes involved in inflammation, tissue damage and repair. Expression signatures of thirteen selected genes in subcutaneous fat but not in muscle tissue reflected the age of bruises with a precision of approximately ±2 h. Moreover, the gene expression signature in the subcutaneous fat was to some extend able to separate bruises inflicted with different forces. Expression signatures of selected genes in the subcutaneous fat will increase the precision of the age determination of bruises in pigs. Further, due to the similarity of porcine and human skin physiology and immunity, these results might also provide valuable information in human forensic science.

Entities:  

Keywords:  Age estimation; Bruise; Force estimation; Gene expression signature; qPCR

Mesh:

Substances:

Year:  2017        PMID: 28466139     DOI: 10.1007/s12024-017-9869-2

Source DB:  PubMed          Journal:  Forensic Sci Med Pathol        ISSN: 1547-769X            Impact factor:   2.007


  15 in total

1.  Time-dependent expression of skeletal muscle troponin I mRNA in the contused skeletal muscle of rats: a possible marker for wound age estimation.

Authors:  Jun-hong Sun; Ying-yuan Wang; Lei Zhang; Cai-rong Gao; Lin-zhong Zhang; Zheng Guo
Journal:  Int J Legal Med       Date:  2009-01-28       Impact factor: 2.686

2.  Visual and spectrophotometric observations related to histology in a small sample of bruises from cadavers.

Authors:  Vanessa K Hughes; Neil E I Langlois
Journal:  Forensic Sci Med Pathol       Date:  2011-01-22       Impact factor: 2.007

3.  Alternative light source (polilight) illumination with digital image analysis does not assist in determining the age of bruises.

Authors:  V K Hughes; P S Ellis; N E I Langlois
Journal:  Forensic Sci Int       Date:  2005-07-05       Impact factor: 2.395

4.  Estimation of the age of bruising.

Authors:  T Stephenson; Y Bialas
Journal:  Arch Dis Child       Date:  1996-01       Impact factor: 3.791

5.  Time-dependent expression of SNAT2 mRNA in the contused skeletal muscle of rats: a possible marker for wound age estimation.

Authors:  Qiu-xiang Du; Jun-hong Sun; Ling-yu Zhang; Xin-hua Liang; Xiang-jie Guo; Cai-rong Gao; Ying-yuan Wang
Journal:  Forensic Sci Med Pathol       Date:  2013-09-18       Impact factor: 2.007

6.  Histologic dating of bruises in moribund infants and young children.

Authors:  Roger W Byard; Regula Wick; John D Gilbert; Terence Donald
Journal:  Forensic Sci Med Pathol       Date:  2008-02-15       Impact factor: 2.007

7.  Forensic cases of bruises in pigs.

Authors:  K Barington; H E Jensen
Journal:  Vet Rec       Date:  2013-11-06       Impact factor: 2.695

8.  Studies on mRNA expression of tissue-type plasminogen activator in bruises for wound age estimation.

Authors:  Masataka Takamiya; Kiyoshi Saigusa; Reiko Kumagai; Nori Nakayashiki; Yasuhiro Aoki
Journal:  Int J Legal Med       Date:  2004-06-17       Impact factor: 2.686

9.  A novel, comprehensive, and reproducible porcine model for determining the timing of bruises in forensic pathology.

Authors:  Kristiane Barington; Henrik Elvang Jensen
Journal:  Forensic Sci Med Pathol       Date:  2016-01-28       Impact factor: 2.007

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

View more
  2 in total

1.  Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses.

Authors:  Na Li; Ru-Feng Bai; Chun Li; Li-Hong Dang; Qiu-Xiang Du; Qian-Qian Jin; Jie Cao; Ying-Yuan Wang; Jun-Hong Sun
Journal:  Biosci Rep       Date:  2021-01-29       Impact factor: 3.840

2.  Bruise dating using deep learning.

Authors:  Jhonatan Tirado; David Mauricio
Journal:  J Forensic Sci       Date:  2020-09-29       Impact factor: 1.832

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.