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用于分析微波固定微切割脑组织中氨基酸能量底物的高效液相色谱-电喷雾电离质谱(LC-ESI-MS)方法。

High performance liquid chromatography-electrospray ionization mass spectrometric (LC-ESI-MS) methodology for analysis of amino acid energy substrates in microwave-fixed microdissected brain tissue.

机构信息

School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana at Monroe, Monroe, LA, 71201, United States(1).

School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana at Monroe, Monroe, LA, 71201, United States(1).

出版信息

J Pharm Biomed Anal. 2020 May 30;184:113123. doi: 10.1016/j.jpba.2020.113123. Epub 2020 Jan 28.

Abstract

Hypoglycemia deprives the brain of its primary energy source glucose. Reductions in whole-brain amino acid energy substrate levels suggest that these non-glucose fuels may be metabolized during glucose shortage. Recurring hypoglycemia can cause mal-adaptive impairment of glucose counter-regulation; yet, it is unclear if amplified reliance upon alternative metabolic substrates impedes detection of continuing neuro-glucopenia. This research aimed to develop high-sensitivity UHPLC-electrospray ionization mass spectrometric (LC-ESI-MS) methodology, for complementary use with high-neuroanatomical resolution microdissection tools, for measurement of glucogenic amino acid, e.g. glutamine (Gln), glutamate (Glu), and aspartate (Asp) content in the characterized glucose-sensing ventromedial hypothalamic nucleus (VMN) during acute versus chronic hypoglycemia. Results show that VMN tissue Gln, Glu, and Asp levels were significantly decreased during a single hypoglycemic episode, and that Gln and Asp measures were correspondingly normalized or further diminished during renewed hypoglycemia. Results provide proof-of-principle that LC-ESI-MS has requisite sensitivity for amino acid energy substrate quantification in distinctive brain gluco-regulatory structures under conditions of eu- versus hypoglycemia. This novel combinatory methodology will support ongoing efforts to determine how amino acid energy yield may impact VMN metabolic sensory function during persistent hypoglycemia.

摘要

低血糖会剥夺大脑的主要能量来源葡萄糖。全脑氨基酸能量底物水平的降低表明,在葡萄糖缺乏时,这些非葡萄糖燃料可能被代谢。反复发作的低血糖会导致葡萄糖代偿调节的适应性损害;然而,尚不清楚增强对替代代谢底物的依赖是否会阻碍对持续神经低血糖的检测。本研究旨在开发高灵敏度的超高效液相色谱-电喷雾电离质谱(LC-ESI-MS)方法,与高神经解剖分辨率微切割工具互补使用,用于测量葡萄糖感应腹内侧下丘脑核(VMN)中糖生成氨基酸,例如谷氨酰胺(Gln),谷氨酸(Glu)和天冬氨酸(Asp)在急性与慢性低血糖期间的含量。结果表明,在单次低血糖发作期间,VMN 组织中的 Gln、Glu 和 Asp 水平显着降低,并且在再次发生低血糖时,Gln 和 Asp 的测量值相应地正常化或进一步降低。结果提供了原理证明,即 LC-ESI-MS 具有在葡萄糖稳态与低血糖条件下定量分析独特的脑糖调节结构中氨基酸能量底物的必需灵敏度。这种新的组合方法将支持正在进行的努力,以确定氨基酸能量产率如何在持续低血糖期间影响 VMN 代谢感觉功能。

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