Applications of Metabolomics in Forensic Toxicology and Forensic Medicine

Forensic toxicology and forensic medicine are unique among all other medical fields because of their essential legal impact, especially in civil and criminal cases. New high-throughput technologies, borrowed from chemistry and physics, have proven that metabolomics, the youngest of the "omics s...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of molecular sciences Vol. 22; no. 6; p. 3010
Main Authors Szeremeta, Michal, Pietrowska, Karolina, Niemcunowicz-Janica, Anna, Kretowski, Adam, Ciborowski, Michal
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 16.03.2021
MDPI
Subjects
Amino acids
Biomarkers
Biomarkers - metabolism
Chromatography
Crime
Data analysis
Discriminant analysis
Drug abuse
drugs of abuse
Ecstasy
Fatty acids
Forensic Medicine
Forensic science
Forensic Toxicology
Humans
Information processing
Learning algorithms
Mass spectrometry
Metabolic Networks and Pathways
Metabolism
Metabolites
Metabolome
Metabolomics
Multivariate analysis
NMR
Nuclear magnetic resonance
postmortem interval
Quantitative analysis
Review
Scientific imaging
Statistical analysis
Toxicology
Urine
drugs of abuse
forensic medicine
forensic toxicology
metabolomics
postmortem interval
Online AccessGet full text

Cover

More Information
Summary:Forensic toxicology and forensic medicine are unique among all other medical fields because of their essential legal impact, especially in civil and criminal cases. New high-throughput technologies, borrowed from chemistry and physics, have proven that metabolomics, the youngest of the "omics sciences", could be one of the most powerful tools for monitoring changes in forensic disciplines. Metabolomics is a particular method that allows for the measurement of metabolic changes in a multicellular system using two different approaches: targeted and untargeted. Targeted studies are focused on a known number of defined metabolites. Untargeted metabolomics aims to capture all metabolites present in a sample. Different statistical approaches (e.g., uni- or multivariate statistics, machine learning) can be applied to extract useful and important information in both cases. This review aims to describe the role of metabolomics in forensic toxicology and in forensic medicine.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms22063010