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代谢组学在法医毒理学和法医学中的应用。

Applications of Metabolomics in Forensic Toxicology and Forensic Medicine.

作者信息

Szeremeta Michal, Pietrowska Karolina, Niemcunowicz-Janica Anna, Kretowski Adam, Ciborowski Michal

机构信息

Department of Forensic Medicine, Medical University of Bialystok, 15-269 Bialystok, Poland.

Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.

出版信息

Int J Mol Sci. 2021 Mar 16;22(6):3010. doi: 10.3390/ijms22063010.

Abstract

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.

摘要

法医毒理学和法医学在所有其他医学领域中独具特色,因为它们具有至关重要的法律影响,尤其是在民事和刑事案件中。从化学和物理学借鉴而来的新型高通量技术已证明,代谢组学作为“组学科学”中最年轻的学科,可能成为监测法医领域变化的最强大工具之一。代谢组学是一种特殊方法,它可通过两种不同途径测量多细胞系统中的代谢变化:靶向和非靶向。靶向研究聚焦于已知数量的特定代谢物。非靶向代谢组学旨在捕获样本中存在的所有代谢物。在这两种情况下,均可应用不同的统计方法(例如单变量或多变量统计、机器学习)来提取有用且重要的信息。本综述旨在描述代谢组学在法医毒理学和法医学中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b2/8002074/9a17208057d9/ijms-22-03010-g001.jpg

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