Weng JianXiang, Muti Isabella H, Zhong Anya B, Kivisäkk Pia, Hyman Bradley T, Arnold Steven E, Cheng Leo L
Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
Metabolites. 2022 Feb 15;12(2):181. doi: 10.3390/metabo12020181.
There is currently a crucial need for improved diagnostic techniques and targeted treatment methods for Alzheimer's disease (AD), a disease which impacts millions of elderly individuals each year. Metabolomic analysis has been proposed as a potential methodology to better investigate and understand the progression of this disease. In this report, we present our AD metabolomics results measured with high resolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) on human blood plasma samples obtained from AD and non-AD subjects. Our study centers on developments of AD and non-AD metabolomics differentiating models with procedures of quality assurance (QA) and quality control (QC) through pooled samples. Our findings suggest that analysis of blood plasma samples using HRMAS NMR has the potential to differentiate between diseased and healthy subjects, which has important clinical implications for future improvements in AD diagnosis methodologies.
目前迫切需要改进阿尔茨海默病(AD)的诊断技术和靶向治疗方法,这种疾病每年影响数百万老年人。代谢组学分析已被提议作为一种潜在的方法,以更好地研究和理解这种疾病的进展。在本报告中,我们展示了我们对从AD和非AD受试者获得的人类血浆样本进行高分辨率魔角旋转(HRMAS)核磁共振(NMR)测量的AD代谢组学结果。我们的研究集中在通过混合样本进行质量保证(QA)和质量控制(QC)程序来开发AD和非AD代谢组学区分模型。我们的研究结果表明,使用HRMAS NMR分析血浆样本有可能区分患病和健康受试者,这对未来改进AD诊断方法具有重要的临床意义。