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基于液相色谱-质谱联用技术的微量采样采集的替代血液样本的全局代谢谱

LC-MS-Based Global Metabolic Profiles of Alternative Blood Specimens Collected by Microsampling.

作者信息

Thaitumu Marlene N, De Sá E Silva Daniel Marques, Louail Philippine, Rainer Johannes, Avgerinou Glykeria, Petridou Anatoli, Mougios Vassilis, Theodoridis Georgios, Gika Helen

机构信息

Department of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Biomic AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center, B1.4, 57001 Thessaloniki, Greece.

出版信息

Metabolites. 2025 Jan 16;15(1):62. doi: 10.3390/metabo15010062.

DOI:10.3390/metabo15010062
PMID:39852404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11767270/
Abstract

Blood microsampling (BμS) has recently emerged as an interesting approach in the analysis of endogenous metabolites but also in metabolomics applications. Their non-invasive way of use and the simplified logistics that they offer renders these technologies highly attractive in large-scale studies, especially the novel quantitative microsampling approaches such as VAMs or qDBS. Herein, we investigate the potential of BµS devices compared to the conventional plasma samples used in global untargeted mass spectrometry-based metabolomics of blood. Two novel quantitative devices, namely, Mitra, Capitainer, and the widely used Whatman cards, were selected for comparison with plasma. Venous blood was collected from 10 healthy, overnight-fasted individuals and loaded on the devices; plasma was also collected from the same venous blood. An extraction solvent optimization study was first performed on the three devices before the main study, which compared the global metabolic profiles of the four extracts (three BµS devices and plasma). Analysis was conducted using reverse phase LC-TOF MS in positive mode. BµS devices, especially Mitra and Capitainer, provided equal or even superior information on the metabolic profiling of human blood based on the number and intensity of features and the precision and stability of some annotated metabolites compared to plasma. Despite their rich metabolic profiles, BµS did not capture metabolites associated with biological differentiation of sexes. Overall, our results suggest that a more in-depth investigation of the acquired information is needed for each specific application, as a metabolite-dependent trend was obvious.

摘要

血液微量采样(BμS)最近已成为一种有趣的方法,不仅可用于分析内源性代谢物,还可用于代谢组学应用。其非侵入性的使用方式以及所提供的简化物流,使得这些技术在大规模研究中极具吸引力,尤其是新型定量微量采样方法,如VAMs或qDBS。在此,我们研究了与基于非靶向质谱的血液代谢组学中使用的传统血浆样本相比,BµS设备的潜力。选择了两种新型定量设备,即Mitra、Capitainer以及广泛使用的Whatman卡,与血浆进行比较。从10名健康、空腹过夜的个体采集静脉血并加载到这些设备上;同时也从相同的静脉血中采集血浆。在主要研究之前,首先对这三种设备进行了提取溶剂优化研究,该研究比较了四种提取物(三种BµS设备提取物和血浆提取物)的整体代谢谱。使用正模式的反相LC - TOF MS进行分析。与血浆相比,BµS设备,尤其是Mitra和Capitainer,基于特征数量和强度以及一些注释代谢物的精度和稳定性,在人体血液代谢谱分析方面提供了同等甚至更优的信息。尽管BµS具有丰富的代谢谱,但并未捕获与性别生物学差异相关的代谢物。总体而言,我们的结果表明,由于明显存在代谢物依赖性趋势,对于每个特定应用都需要对获取的信息进行更深入的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/7a16bcbc3b17/metabolites-15-00062-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/063acde8e87b/metabolites-15-00062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/f3a0cf78f17d/metabolites-15-00062-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/4aa10174b1a1/metabolites-15-00062-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/7244b71ee8bc/metabolites-15-00062-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/e8d58467e526/metabolites-15-00062-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/7a16bcbc3b17/metabolites-15-00062-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/063acde8e87b/metabolites-15-00062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/f3a0cf78f17d/metabolites-15-00062-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/4aa10174b1a1/metabolites-15-00062-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/7244b71ee8bc/metabolites-15-00062-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/e8d58467e526/metabolites-15-00062-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ff/11767270/7a16bcbc3b17/metabolites-15-00062-g006.jpg

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