Integrated MALDI-MS imaging and LC-MS techniques for visualizing spatiotemporal metabolomic dynamics in a rat stroke model.

Integrated MALDI-MS imaging and LC-MS techniques for visualizing spatiotemporal metabolomic dynamics in a rat stroke model.
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DOI:
10.1007/s11306-013-0588-8
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发表时间:
2014
期刊:
影响因子:
3.6
通讯作者:
Wariishi, Hiroyuki
Wariishi, Hiroyuki
中科院分区:
医学3区
文献类型:
--
作者:
Irie, Miho;Fujimura, Yoshinori;Yamato, Mayumi;Miura, Daisuke;Wariishi, Hiroyuki

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生物分子的时空信息对于精确的病理分析是必不可少的,但它在很大程度上仍然不清楚。在这里,我们展示了一种新的分析平台,将质谱成像(MSI)与其互补技术——液相色谱-质谱分析(LC-MS)相结合,以阐明组织中更全面的代谢行为,并提供时空信息。对大鼠脑缺血再灌注后短暂性大脑中动脉闭塞(MCAO)脑组织进行了分析,以表征病理改变的详细代谢组学反应。为了比较MCAO脑缺血半球和对侧半球之间的空间分解代谢状态,冠状切片组织进行MSI。我们还通过LC-MS测量了从三个不同的大脑区域提取的代谢物,包括全皮质(CTX)、海马(HI)和纹状体(CPu)。在缺血半球,再灌注后CTX和CPu有明显的代谢变化,而HI没有。在氨基酸和核苷酸代谢以及TCA循环中观察到区域特异性代谢行为。CTX和CPu的MSI和LC-MS数据的相关性相对较高。两种MS平台的结合显示了病理进展过程中不同时空的代谢动态。因此,我们提出的策略将有助于理解缺血-再灌注的复杂发病机制。本文的在线版本(doi:10.1007/ s111306 -013-0588-8)包含补充材料,仅供授权用户使用。
Spatiotemporal information about biomolecules is indispensable for precise pathological analysis, but it remains largely unclear. Here we show a novel analytical platform combing mass spectrometry imaging (MSI) with its complementary technique, liquid chromatography–mass spectrometry (LC–MS), to elucidate more comprehensive metabolic behaviors, with spatiotemporal information, in tissues. Analysis of a rat transient middle cerebral artery occlusion (MCAO) brain tissue after ischemia–reperfusion was performed to characterize the detailed metabolomic response to pathological alterations. To compare the spatially resolved metabolic state between ischemic and contralateral hemispheres of the MCAO brain, coronally sliced tissues were subjected to MSI. We also measured the metabolites extracted from three different cerebral regions, including whole cortex (CTX), hippocampus (HI) and corpus striatum (CPu), by LC–MS. In the ischemic hemisphere, significant metabolic changes at the CTX and CPu were observed after reperfusion, while not at the HI. A region-specific metabolic behavior was observed in amino acid and nucleotide metabolism, as well as in the TCA cycle. Correlation between MSI and LC–MS data was relatively high in the CTX and CPu. Combination of both MS platforms visualized the diverse spatiotemporal metabolic dynamics during pathological progress. Thus, our proposed strategy will contribute to the understanding of the complex pathogenesis of ischemia–reperfusion. The online version of this article (doi:10.1007/s11306-013-0588-8) contains supplementary material, which is available to authorized users.
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