Kelley Andrea R
Department of Chemistry, United States Air Force Academy, Colorado Spring, CO 80840, USA.
Metabolites. 2022 Jun 2;12(6):510. doi: 10.3390/metabo12060510.
Irregularities in lipid metabolism have been linked to numerous neurodegenerative diseases. The roles of abnormal brain, plasma, and cerebrospinal fluid (CSF) lipid levels in Alzheimer's disease (AD) onset and progression specifically have been described to a great extent in the literature. Apparent hallmarks of AD include, but are not limited to, genetic predisposition involving the APOE Ɛ4 allele, oxidative stress, and inflammation. A common culprit tied to many of these hallmarks is disruption in brain lipid homeostasis. Therefore, it is important to understand the roles of lipids, under normal and abnormal conditions, in each process. Lipid influences in processes such as inflammation and blood-brain barrier (BBB) disturbance have been primarily studied via biochemical-based methods. There is a need, however, for studies focused on uncovering the relationship between lipid irregularities and AD by molecular-based quantitative analysis in transgenic animal models and human samples alike. In this review, mass spectrometry as it has been used as an analytical tool to address the convoluted relationships mentioned above is discussed. Additionally, molecular-based mass spectrometry strategies that should be used going forward to further relate structure and function relationships of lipid irregularities and hallmark AD pathology are outlined.
脂质代谢异常与多种神经退行性疾病有关。大脑、血浆和脑脊液(CSF)脂质水平异常在阿尔茨海默病(AD)发病和进展中的作用在文献中已有大量描述。AD的明显特征包括但不限于涉及APOE ε4等位基因的遗传易感性、氧化应激和炎症。与许多这些特征相关的一个常见罪魁祸首是脑脂质稳态的破坏。因此,了解脂质在正常和异常条件下在每个过程中的作用非常重要。脂质在炎症和血脑屏障(BBB)紊乱等过程中的影响主要通过基于生化的方法进行研究。然而,需要通过转基因动物模型和人类样本中的基于分子的定量分析来开展研究,以揭示脂质异常与AD之间的关系。在这篇综述中,将讨论质谱作为一种分析工具来解决上述复杂关系的应用。此外,还概述了未来应采用的基于分子的质谱策略,以进一步关联脂质异常与AD标志性病理的结构和功能关系。