質譜成像技術可用于繪制神經遞質網絡

　　近日，瑞典烏普薩拉大學的Per E. Andrén和Luke R. Odell等研究人員合作利用MALDI-MS成像對神經遞質網絡進行了綜合測繪。2019年9月23日，國際知名學術期刊《自然—方法學》在線發表了這一成果。

　　研究人員提出了一種質譜成像（MSI）方法，用于特定大腦區域中神經遞質網絡的全面測繪。研究人員開發的反應性基質可促進包含酚羥基和/或伯胺或仲胺基團的分子（包括多巴胺能和血清素能神經遞質及其相關代謝物）的共價標記。這些基質改善了對低豐度神經遞質的基質輔助激光解吸/電離（MALDI）-MSI檢測極限，并有助于以10μm的橫向分辨率同時對大腦精細結構中的神經遞質進行成像。

　　研究人員展示了使用反應性基質的固有化學選擇性和溴化反應性基質的獨特同位素模式識別未知分子種類的策略。研究人員證明了該方法對來自人類尸體組織和動物模型的帕金森病腦樣本分析的實用性。因此，神經遞質系統的直接成像提供了一種探索各種神經疾病如何通過神經遞質調節來影響特定大腦區域的方法。

　　附：英文原文

　　Title: Comprehensive mapping of neurotransmitter networks by MALDI–MS imaging

　　Author: Mohammadreza Shariatgorji, Anna Nilsson, Elva Fridjonsdottir, Theodosia Vallianatou, Patrik Kllback, Luay Katan, Jonas Svmarker, Ioannis Mantas, Xiaoqun Zhang, Erwan Bezard, Per Svenningsson, Luke R. Odell, Per E. Andrn

　　Issue&Volume: 2019-09-23

　　Abstract:

　　We present a mass spectrometry imaging (MSI) approach for the comprehensive mapping of neurotransmitter networks in specific brain regions. Our fluoromethylpyridinium-based reactive matrices facilitate the covalent charge-tagging of molecules containing phenolic hydroxyl and/or primary or secondary amine groups, including dopaminergic and serotonergic neurotransmitters and their associated metabolites. These matrices improved the matrix-assisted laser desorption/ionization (MALDI)–MSI detection limit toward low-abundance neurotransmitters and facilitated the simultaneous imaging of neurotransmitters in fine structures of the brain at a lateral resolution of 10

　　μm. We demonstrate strategies for the identification of unknown molecular species using the innate chemoselectivity of the reactive matrices and the unique isotopic pattern of a brominated reactive matrix. We illustrate the capabilities of the developed method on Parkinsonian brain samples from human post-mortem tissue and animal models. The direct imaging of neurotransmitter systems provides a method for exploring how various neurological diseases affect specific brain regions through neurotransmitter modulation.

　　DOI: 10.1038/s41592-019-0551-3

　　Source:https://www.nature.com/articles/s41592-019-0551-3

　　期刊信息

　　Nature Methods：《自然—方法學》，創刊于2004年。隸屬于施普林格·自然出版集團，最新IF：28.467