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UHPLC-MS 代谢组学研究中应用的分析类型和定量方法:教程。

Analysis types and quantification methods applied in UHPLC-MS metabolomics research: a tutorial.

机构信息

National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA.

Department of Biochemistry, Cell and Systems Biology, Centre for Metabolomics Research, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.

出版信息

Metabolomics. 2024 Aug 7;20(5):95. doi: 10.1007/s11306-024-02155-6.

Abstract

BACKGROUND

Different types of analytical methods, with different characteristics, are applied in metabolomics and lipidomics research and include untargeted, targeted and semi-targeted methods. Ultra High Performance Liquid Chromatography-Mass Spectrometry is one of the most frequently applied measurement instruments in metabolomics because of its ability to detect a large number of water-soluble and lipid metabolites over a wide range of concentrations in short analysis times. Methods applied for the detection and quantification of metabolites differ and can either report a (normalised) peak area or an absolute concentration.

AIM OF REVIEW

In this tutorial we aim to (1) define similarities and differences between different analytical approaches applied in metabolomics and (2) define how amounts or absolute concentrations of endogenous metabolites can be determined together with the advantages and limitations of each approach in relation to the accuracy and precision when concentrations are reported.

KEY SCIENTIFIC CONCEPTS OF REVIEW

The pre-analysis knowledge of metabolites to be targeted, the requirement for (normalised) peak responses or absolute concentrations to be reported and the number of metabolites to be reported define whether an untargeted, targeted or semi-targeted method is applied. Fully untargeted methods can only provide (normalised) peak responses and fold changes which can be reported even when the structural identity of the metabolite is not known. Targeted methods, where the analytes are known prior to the analysis, can also report fold changes. Semi-targeted methods apply a mix of characteristics of both untargeted and targeted assays. For the reporting of absolute concentrations of metabolites, the analytes are not only predefined but optimized analytical methods should be developed and validated for each analyte so that the accuracy and precision of concentration data collected for biological samples can be reported as fit for purpose and be reviewed by the scientific community.

摘要

背景

代谢组学和脂质组学研究中应用了不同类型的分析方法,具有不同的特点,包括非靶向、靶向和半靶向方法。超高效液相色谱-质谱联用技术因其能够在短分析时间内检测到广泛浓度范围内大量水溶性和脂溶性代谢物而成为代谢组学中最常用的测量仪器之一。用于检测和定量代谢物的方法不同,既可以报告(归一化的)峰面积,也可以报告绝对浓度。

目的综述

在本教程中,我们旨在(1)定义代谢组学中应用的不同分析方法之间的相似性和差异,(2)定义如何确定内源性代谢物的量或绝对浓度,以及每种方法在报告浓度时的准确性和精密度的优势和局限性。

综述的关键科学概念

要靶向的代谢物的预分析知识、(归一化的)峰响应或绝对浓度的要求以及要报告的代谢物数量决定了是否应用非靶向、靶向或半靶向方法。完全非靶向方法只能提供(归一化的)峰响应和倍数变化,即使不知道代谢物的结构身份,也可以报告。在分析之前已知分析物的靶向方法也可以报告倍数变化。半靶向方法应用了非靶向和靶向测定的混合特征。对于代谢物绝对浓度的报告,分析物不仅是预先定义的,而且应该为每个分析物开发和验证优化的分析方法,以便可以报告用于生物样品的浓度数据的准确性和精密度,以达到预期用途,并由科学界进行审查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de6/11306277/db4af8905a59/11306_2024_2155_Fig1_HTML.jpg

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