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A high-definition spatially resolved metabolomics method to illuminate the metabolic specificity and interconnection across mouse brain
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作者 Meng Yu Yanhe Zhou +9 位作者 Guanlin Xiao Xinyi Jiang Xiangyi Wang Tong Li Jianpeng Huang Jiamin Gao Junwen Shi Xiuli Gao Zeper Abliz Jiuming He 《Chinese Chemical Letters》 2026年第1期527-532,共6页
The brain's functions are governed by molecular metabolic networks.However,due to the sophisticated spatial organization and diverse activities of the brain,characterizing both the minute and large-scale metabolic... The brain's functions are governed by molecular metabolic networks.However,due to the sophisticated spatial organization and diverse activities of the brain,characterizing both the minute and large-scale metabolic activity across the entire brain and its numerous micro-regions remains incredibly challenging.Here,we offer a high-definition spatially resolved metabolomics technique to better understand the metabolic specialization and interconnection throughout the mouse brain using improved ambient mass spectrometry imaging.This method allows for the simultaneous mapping of thousands of metabolites at a 30 μm spatial resolution across the mouse brain,ranging from structural lipids to functional neurotransmitters.This approach effectively reveals the distribution patterns of delicate microregions and their distinctive metabolic characteristics.Using an integrated database,we annotated 259 metabolites,demonstrating that the metabolome and metabolic pathways are unique to each brain microregion.The distribution of metabolites,closely linked to functionally connected brain regions and their interactions,offers profound insights into the complexity of chemical processes and their roles in brain function.An initial dataset for future metabolomics research might be obtained from the high-definition mouse brain's spatial metabolome atlas. 展开更多
关键词 afadesi-msi Spatially resolved metabolomics Metabolic specificity and interconnection Mouse brain
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神经病理性疼痛大鼠脊髓背角的空间代谢组学分析
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作者 田小芬 于宁 +3 位作者 孙丰润 尹湘莎 孙宝飞 马超 《神经解剖学杂志》 2026年第1期33-40,共8页
目的:本研究旨在利用空间代谢组学技术,通过坐骨神经分支损伤(SNI)模型探讨急/慢性神经病理性疼痛(NP)状态下大鼠脊髓背角内源性代谢物的变化情况,为进一步研究NP的发病机制及探寻潜在治疗靶点提供依据。方法:将雄性SD大鼠分为急性Sham... 目的:本研究旨在利用空间代谢组学技术,通过坐骨神经分支损伤(SNI)模型探讨急/慢性神经病理性疼痛(NP)状态下大鼠脊髓背角内源性代谢物的变化情况,为进一步研究NP的发病机制及探寻潜在治疗靶点提供依据。方法:将雄性SD大鼠分为急性Sham组、急性SNI组、慢性Sham组和慢性SNI组,于SNI术后第1、28 d进行急/慢性疼痛行为学评估。利用质谱成像空间分辨代谢组学技术对4组大鼠脊髓背角圈选、分析,筛选差异代谢物,解析代谢通路,并进行靶向代谢物谷氨酸的定量对比研究。结果:与Sham组相比,急/慢性SNI组大鼠自发痛的频次和时间增加、机械痛阈值下降。代谢组学结果提示,与Sham组相比,急性SNI手术侧涉及苯丙氨酸、色氨酸、麦芽糖等30个差异代谢物变化,在嘌呤代谢,组氨酸代谢,丙氨酸、天冬氨酸和谷氨酸代谢等代谢通路发生改变;而慢性SNI手术侧涉及壬二酸、色氨酸等39个差异代谢物变化,在精氨酸生物合成,丙氨酸、天冬氨酸和谷氨酸代谢等代谢通路发生改变。与对侧相比,急性SNI手术侧涉及葡萄糖、麦芽糖等12个差异代谢物变化,慢性SNI手术侧涉及色氨酸、葡萄糖等19个差异代谢物变化,两组均主要在淀粉和蔗糖代谢通路发生改变。靶向代谢物检测结果表明,与Sham组相比,急性SNI组谷氨酸含量上调(P<0.05),而慢性SNI组谷氨酸含量下调(P<0.001)。结论:本研究鉴定了外周神经损伤后,急/慢性疼痛状态下脊髓背角的差异代谢物及代谢通路变化,可能与NP的发病机制密切相关。 展开更多
关键词 神经病理性疼痛 代谢组学 空气动力辅助解吸电喷雾质谱成像 大鼠
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