Literature DB >> 34218338

Discovery of donor age markers from bloodstain by LC-MS/MS using a metabolic approach.

Hyo-Jin Kim1, You-Rim Lee1, Seungyeon Lee1, Sohyen Kwon1, Yeon Tae Chun2,3, Sung Hee Hyun1,4, Ho Joong Sung1,2, Jiyeong Lee5, Hee-Gyoo Kang6,7.   

Abstract

Bloodstains are frequently encountered at crime scenes and they provide important evidence about the incident, such as information about the victim or suspect and the time of death or other events. Efforts have been made to identify the age of the bloodstain's donor through genomic approaches, but there are some limitations, such as the availability of databases and the quality dependence of DNA. There is a need for the development of a tool that can obtain information at once from a small blood sample. The aim of this study is to identify bloodstain metabolite candidates that can be used to determine donor age. We prepared bloodstain samples and analyzed metabolites using high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). Eighteen molecular features (MFs) were selected as candidates using volcano plots and multivariate analysis. Based on the MS/MS spectrum of the MFs, the following nine metabolites were identified from the METaboliteLINk database: Δ2-cis eicosenoic acid, ergothioneine, adenosine 5'-monophosphate, benzaldehyde, phenacylamine, myristic acid ethyl ester, p-coumaric acid, niacinamide, and N-arachidonoyl-L-alanine. These nine age markers at high or low abundances could be used to estimate the age of a bloodstain's donor. This study was the first to develop metabolite age markers that can be used to analyze crime scene bloodstains.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Age estimation; Age marker; Bloodstain; Forensic science; HPLC/Q-TOF MS; Metabolites

Mesh:

Substances:

Year:  2021        PMID: 34218338     DOI: 10.1007/s00414-021-02640-w

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  28 in total

Review 1.  Potocytosis: sequestration and transport of small molecules by caveolae.

Authors:  R G Anderson; B A Kamen; K G Rothberg; S W Lacey
Journal:  Science       Date:  1992-01-24       Impact factor: 47.728

Review 2.  Liquid chromatography-mass spectrometry based global metabolite profiling: a review.

Authors:  Georgios A Theodoridis; Helen G Gika; Elizabeth J Want; Ian D Wilson
Journal:  Anal Chim Acta       Date:  2011-11-04       Impact factor: 6.558

3.  The estimation of the age of a blood stain using reflectance spectroscopy with a microspectrophotometer, spectral pre-processing and linear discriminant analysis.

Authors:  Bo Li; Peter Beveridge; William T O'Hare; Meez Islam
Journal:  Forensic Sci Int       Date:  2011-07-01       Impact factor: 2.395

4.  Developing a DNA methylation assay for human age prediction in blood and bloodstain.

Authors:  Yun Huang; Jing Yan; Jiayi Hou; Xiaodan Fu; Luyao Li; Yiping Hou
Journal:  Forensic Sci Int Genet       Date:  2015-05-08       Impact factor: 4.882

5.  Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science.

Authors:  Renata Zbieć-Piekarska; Magdalena Spólnicka; Tomasz Kupiec; Żanetta Makowska; Anna Spas; Agnieszka Parys-Proszek; Krzysztof Kucharczyk; Rafał Płoski; Wojciech Branicki
Journal:  Forensic Sci Int Genet       Date:  2014-10-14       Impact factor: 4.882

6.  Forensic determination of blood sample age using a bioaffinity-based assay.

Authors:  Juliana Agudelo; Crystal Huynh; Jan Halámek
Journal:  Analyst       Date:  2015-01-23       Impact factor: 4.616

Review 7.  NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review.

Authors:  Agnieszka Smolinska; Lionel Blanchet; Lutgarde M C Buydens; Sybren S Wijmenga
Journal:  Anal Chim Acta       Date:  2012-06-09       Impact factor: 6.558

Review 8.  Metabolomics in cancer biomarker discovery: current trends and future perspectives.

Authors:  Emily G Armitage; Coral Barbas
Journal:  J Pharm Biomed Anal       Date:  2013-09-14       Impact factor: 3.935

Review 9.  Metabolomics in rheumatic diseases: desperately seeking biomarkers.

Authors:  Monica Guma; Stefano Tiziani; Gary S Firestein
Journal:  Nat Rev Rheumatol       Date:  2016-03-03       Impact factor: 20.543

10.  Differentiating Donor Age Groups Based on Raman Spectroscopy of Bloodstains for Forensic Purposes.

Authors:  Kyle C Doty; Igor K Lednev
Journal:  ACS Cent Sci       Date:  2018-06-20       Impact factor: 14.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.