Füzesi Mark V, Muti Isabella H, Berker Yannick, Li Wei, Sun Joseph, Habbel Piet, Nowak Johannes, Xie Zhongcong, Cheng Leo L, Zhang Yiying
Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Hopp Children's Cancer Center Heidelberg (KiTZ), 69120 Heidelberg, Germany.
Metabolites. 2022 Mar 17;12(3):253. doi: 10.3390/metabo12030253.
Alzheimer's disease (AD) is a crippling condition that affects millions of elderly adults each year, yet there remains a serious need for improved methods of diagnosis. Metabolomic analysis has been proposed as a potential methodology to better investigate and understand the progression of this disease; however, studies of human brain tissue metabolomics are challenging, due to sample limitations and ethical considerations. Comprehensive comparisons of imaging measurements in animal models to identify similarities and differences between aging- and AD-associated metabolic changes should thus be tested and validated for future human non-invasive studies. In this paper, we present the results of our highresolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) studies of AD and wild-type (WT) mouse models, based on animal age, brain regions, including cortex vs. hippocampus, and disease status. Our findings suggest the ability of HRMAS NMR to differentiate between AD and WT mice using brain metabolomics, which potentially can be implemented in in vivo evaluations.
阿尔茨海默病(AD)是一种致残性疾病,每年影响数百万老年人,但仍迫切需要改进诊断方法。代谢组学分析已被提议作为一种潜在方法,以更好地研究和理解这种疾病的进展;然而,由于样本限制和伦理考量,对人类脑组织进行代谢组学研究具有挑战性。因此,对于未来的人类非侵入性研究,应测试和验证动物模型成像测量的全面比较,以识别衰老和AD相关代谢变化之间的异同。在本文中,我们展示了基于动物年龄、脑区(包括皮层与海马体)以及疾病状态,对AD和野生型(WT)小鼠模型进行高分辨率魔角旋转(HRMAS)核磁共振(NMR)研究的结果。我们的研究结果表明,HRMAS NMR能够利用脑代谢组学区分AD小鼠和WT小鼠,这有可能应用于体内评估。