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开发一种用于在肺组织中进行脂氧素空间定位的解吸电喷雾电离-多重反应监测质谱(DESI-MRM)工作流程。

Development of a Desorption Electrospray Ionization-Multiple-Reaction-Monitoring Mass Spectrometry (DESI-MRM) Workflow for Spatially Mapping Oxylipins in Pulmonary Tissue.

机构信息

Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Department of Respiratory Medicine and Allergy, Karolinska University Hospital, SE-171 64 Stockholm, Sweden.

出版信息

Anal Chem. 2024 Nov 12;96(45):17950-17959. doi: 10.1021/acs.analchem.4c02350. Epub 2024 Oct 26.

DOI:10.1021/acs.analchem.4c02350
PMID:39460704
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11561881/
Abstract

Oxylipins are a class of low-abundance lipids formed via oxygenation of fatty acids. These compounds include potent signaling molecules (e.g., octadecanoids, eicosanoids) that can exert essential functions in the pathophysiology of inflammatory diseases including asthma. While some oxylipin signaling cascades have been unraveled using LC-MS/MS-based methods, measurements in homogenate samples do not represent the spatial heterogeneity of lipid metabolism. Mass spectrometry imaging (MSI) directly detects analytes from a surface, which enables spatial mapping of oxylipin biosynthesis and migration within the tissue. MSI has lacked the sensitivity to routinely detect low-abundance oxylipins; however, new multiple-reaction-monitoring (MRM)-based MSI technologies show increased sensitivity. In this study, we developed a workflow to apply desorption electrospray ionization coupled to a triple quadrupole mass spectrometer (DESI-MRM) to spatially map oxylipins in pulmonary tissue. The targeted MSI workflow screened guinea pig lung extracts using LC-MS/MS to filter oxylipin targets based on their detectability by DESI-MRM. A panel of 5 oxylipins was then selected for DESI-MRM imaging derived from arachidonic acid (TXB, 11-HETE, 12-HETE), linoleic acid (12,13-DiHOME), and α-linolenic acid (16-HOTrE). To parse this new data type, a custom-built R package (quantMSImageR) was developed with functionality to label regions of interest as well as quantify and analyze lipid distributions. The spatial distributions quantified by DESI-MRM were supported by LC-MS/MS analysis, with both indicating that 16-HOTrE and 12-HETE were associated with airways, while 12,13-DiHOME and arachidonic acid were mapped to parenchyma. This study realizes the potential of targeted MSI to routinely map low-abundance oxylipins with high specificity at scale.

摘要

氧化脂类是一类通过脂肪酸氧化形成的低丰度脂质。这些化合物包括有效的信号分子(例如,十八碳烯酸,二十碳烯酸),它们可以在哮喘等炎症性疾病的病理生理学中发挥重要作用。虽然已经使用基于 LC-MS/MS 的方法揭示了一些氧化脂类信号级联,但匀浆样本的测量不能代表脂质代谢的空间异质性。质谱成像(MSI)直接从表面检测分析物,从而能够在组织内对氧化脂类生物合成和迁移进行空间映射。MSI 缺乏常规检测低丰度氧化脂类的灵敏度;然而,新的基于多重反应监测(MRM)的 MSI 技术显示出更高的灵敏度。在这项研究中,我们开发了一种应用解吸电喷雾电离与三重四极杆质谱仪(DESI-MRM)在肺组织中空间映射氧化脂类的工作流程。该靶向 MSI 工作流程使用 LC-MS/MS 筛选豚鼠肺提取物,根据其通过 DESI-MRM 的可检测性过滤氧化脂类靶标。然后,选择来自花生四烯酸(TXB、11-HETE、12-HETE)、亚油酸(12,13-DiHOME)和α-亚麻酸(16-HOTrE)的 5 种氧化脂类的面板用于 DESI-MRM 成像。为了解析这种新的数据类型,开发了一个定制的 R 包(quantMSImageR),具有标记感兴趣区域以及定量和分析脂质分布的功能。DESI-MRM 定量的空间分布得到了 LC-MS/MS 分析的支持,两者均表明 16-HOTrE 和 12-HETE 与气道相关,而 12,13-DiHOME 和花生四烯酸则与实质相关。这项研究实现了靶向 MSI 的潜力,即在大规模范围内常规地以高特异性映射低丰度氧化脂类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/41ad77333a66/ac4c02350_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/dd811424555f/ac4c02350_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/76e3fd7f36d2/ac4c02350_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/786442b7ec12/ac4c02350_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/41ad77333a66/ac4c02350_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/dd811424555f/ac4c02350_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/76e3fd7f36d2/ac4c02350_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/786442b7ec12/ac4c02350_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e761/11561881/41ad77333a66/ac4c02350_0004.jpg

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