Lipidomic profiling in mouse brain reveals differences between ages and genders, with smaller changes associated with alpha-synuclein genotype.
Lipidomic profiling in mouse brain reveals differences between ages and genders, with smaller changes associated with alpha-synuclein genotype.
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DOI：
10.1111/j.1471-4159.2009.06290.x
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发表时间：
2009-10
影响因子：
4.7
通讯作者：
Selkoe DJ
中科院分区：
文献类型：
--
作者：
Rappley I;Myers DS;Milne SB;Ivanova PT;Lavoie MJ;Brown HA;Selkoe DJ
脂质组学技术的进步促进了组织内脂质种类的精确检测、鉴定和分析。质谱法允许根据其酰基链中的碳和双键总数来鉴定脂质。脂质组成的这种详细描述可以为进一步研究细胞信号传导和代谢途径（生理和病理）提供基础。在这里，我们将磷脂分析应用于帕金森病（PD）相关的小鼠模型，使用人α-突触核蛋白（αSyn）转基因或内源性αSyn缺失的小鼠。αSyn的功能包括磷脂结合、调节膜组成和调节囊泡池。我们研究了αSyn基因剂量是否与脑区域磷脂组成的差异或与脑磷脂组成的年龄相关变化相互作用。在αSyn野生型动物中观察到最显著的磷脂变化，作为年龄和性别的函数。在老年小鼠中也观察到αSyn基因型特异性变化，但在年轻小鼠中没有观察到。我们的研究结果提供了一个详细和系统的表征脑磷脂组成的小鼠，并确定年龄相关的变化相关的PD和正常老化。
Advances in lipidomics technology have facilitated the precise detection, identification and profiling of lipid species within tissues. Mass spectrometry allows for identification of lipids as a function of the total number of carbons and double bonds in their acyl chains. Such detailed descriptions of lipid composition can provide a basis for further investigation of cell signaling and metabolic pathways, both physiological and pathological. Here, we applied phospholipid profiling to mouse models relevant to Parkinson's disease (PD), using mice that were transgenic for human α-synuclein (αSyn) or deleted of endogenous αSyn. Proposed functions of αSyn include phospholipid binding, regulation of membrane composition, and regulation of vesicular pools. We investigated whether αSyn gene dosage interacts with differences in phospholipid composition across brain regions or with age-related changes in brain phospholipid composition. The most dramatic phospholipid changes were observed in αSyn wild-type animals as a function of age and gender. αSyn genotype-specific changes were also observed in aged, but not young, mice. Our results provide a detailed and systematic characterization of brain phospholipid composition in mice and identify age-related changes relevant both to PD and to normal aging.
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影响因子：
3.6
作者：
BARZANTI, V;BATTINO, M;LENAZ, G
通讯作者：
LENAZ, G
影响因子：
56.9
作者：
Franke, TF;Kaplan, DR;Toker, A
通讯作者：
Toker, A
影响因子：
2.9
作者：
Golovko, MY;Faergeman, NJ;Murphy, EJ
通讯作者：
Murphy, EJ
影响因子：
2.9
作者：
Golovko, Mikhail Y.;Rosenberger, Thad A.;Murphy, Eric J.
通讯作者：
Murphy, Eric J.
影响因子：
13.8
作者：
EPAND, RM;LESTER, DS
通讯作者：
LESTER, DS