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通过基于 GC-HRMS 的非靶向代谢组学探索与窒息死亡相关的代谢改变,并区分窒息与心源性猝死。

Exploring metabolic alterations associated with death from asphyxia and the differentiation of asphyxia from sudden cardiac death by GC-HRMS-based untargeted metabolomics.

机构信息

Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an 710061, China; Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.

Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2021 May 1;1171:122638. doi: 10.1016/j.jchromb.2021.122638. Epub 2021 Mar 9.

Abstract

The determination of cause of death is one of the most important tasks in forensic practice. However, asphyxia is a difficult cause of death to determine, especially when the deceased has an underlying disease that can lead to a sudden unexpected death, such as coronary atherosclerotic heart disease (CAHD, which is the leading cause of sudden cardiac death, SCD), because its determination is currently still based on an exclusion strategy. In this study, gas chromatography coupled with high-resolution mass spectrometry (GC-HRMS)-based untargeted metabolomics was employed to obtain the pulmonary metabolic profiles of rats who died from asphyxia and SCD. First, fourteen metabolites were identified to investigate the mechanism of death from asphyxia, and we proposed some explanations that may account for these metabolic alterations, including the perturbation of amino acid metabolism, lipid metabolism, and energy metabolism (TCA cycle). Second, we discovered eight potential biomarkers to differentiate between asphyxia and SCD as the cause of death. The excellent classification performances of the eight individual biomarkers and their combination in fresh lung tissue were observed. Third, we also explored the relative change in the concentration of the eight metabolites and their classification performance in decomposed tissue (at 24 h postmortem). Lactic acid, pantothenic acid, and the combination of the eight biomarkers can be recognized as perfect classifiers to discriminate asphyxia from SCD even when decomposition has occurred. Our results showed that GC-HRMS-based untargeted metabolomics can be used as a promising tool to explore the metabolic alterations of the death process and to determine the cause of death.

摘要

死亡原因的确定是法医学实践中最重要的任务之一。然而,窒息是一种难以确定的死因,尤其是当死者患有潜在疾病时,可能会导致突然意外死亡,如冠状动脉粥样硬化性心脏病(CAHD,这是心脏性猝死的主要原因,SCD),因为其确定目前仍基于排除策略。在这项研究中,我们采用基于气相色谱-高分辨率质谱(GC-HRMS)的非靶向代谢组学方法,获得了窒息和 SCD 导致死亡的大鼠肺部代谢谱。首先,鉴定了 14 种代谢物,以研究窒息致死的机制,并提出了一些可能解释这些代谢变化的解释,包括氨基酸代谢、脂质代谢和能量代谢(TCA 循环)的紊乱。其次,我们发现了 8 种潜在的生物标志物,可用于区分窒息和 SCD 作为死因。观察到这 8 种单个生物标志物及其在新鲜肺组织中的组合的出色分类性能。第三,我们还探索了 8 种代谢物的浓度在分解组织(死后 24 小时)中的相对变化及其分类性能。在发生分解的情况下,乳酸、泛酸和 8 种生物标志物的组合可以被认为是区分窒息和 SCD 的完美分类器。我们的结果表明,基于 GC-HRMS 的非靶向代谢组学可以作为一种有前途的工具,用于探索死亡过程中的代谢变化并确定死因。

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