Trombetta Bianca A, Wu Chao-Yi, Kuo Evan, de Geus Matthijs B, Dodge Hiroko H, Carlyle Becky C, Kivisäkk Pia, Arnold Steven E
Department of Neurology, Alzheimer's Clinical and Translational Research Unit Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA.
Department of Cell & Chemical Biology Leiden University Medical Center Leiden The Netherlands.
Alzheimers Dement (N Y). 2024 Jan 24;10(1):e12440. doi: 10.1002/trc2.12440. eCollection 2024 Jan-Mar.
While Alzheimer's disease (AD) is defined by amyloid-β plaques and tau tangles in the brain, it is evident that many other pathophysiological processes such as inflammation, neurovascular dysfunction, oxidative stress, and metabolic derangements also contribute to the disease process and that varying contributions of these pathways may reflect the heterogeneity of AD. Here, we used a previously validated panel of cerebrospinal fluid (CSF) biomarkers to explore the degree to which different pathophysiological domains are dysregulated in AD and how they relate to each other.
Twenty-five CSF biomarkers were analyzed in individuals with a clinical diagnosis of AD verified by positive CSF AD biomarkers (AD, = 54) and cognitively unimpaired controls negative for CSF AD biomarkers (CU-N, = 26) using commercial single- and multi-plex immunoassays.
We noted that while AD was associated with increased levels of only three biomarkers (MMP-10, FABP3, and 8OHdG) on a group level, half of all AD participants had increased levels of biomarkers belonging to at least two pathophysiological domains reflecting the diversity in AD. LASSO modeling showed that a panel of FABP3, 24OHC, MMP-10, MMP-2, and 8OHdG constituted the most relevant and minimally correlated set of variables differentiating AD from CU-N. Interestingly, factor analysis showed that two markers of metabolism and oxidative stress (24OHC and 8OHdG) contributed independent information separate from MMP-10 and FABP3 suggestive of two independent pathophysiological pathways in AD, one reflecting neurodegeneration and vascular pathology, and the other associated with metabolism and oxidative stress.
Better understanding of the heterogeneity among individuals with AD and the different contributions of pathophysiological processes besides amyloid-β and tau will be crucial for optimizing personalized treatment strategies.
A panel of 25 highly validated biomarker assays were measured in CSF.MMP10, FABP3, and 8OHdG were increased in AD in univariate analysis.Many individuals with AD had increased levels of more than one biomarker.Markers of metabolism and oxidative stress contributed to an AD multianalyte profile.Assessing multiple biomarker domains is important to understand disease heterogeneity.
虽然阿尔茨海默病(AD)是由大脑中的淀粉样β斑块和tau缠结所定义,但很明显,许多其他病理生理过程,如炎症、神经血管功能障碍、氧化应激和代谢紊乱,也对疾病进程有影响,并且这些途径的不同作用可能反映了AD的异质性。在此,我们使用了一组先前经过验证的脑脊液(CSF)生物标志物,以探讨不同病理生理领域在AD中失调的程度以及它们之间的相互关系。
使用商业单重和多重免疫测定法,对临床诊断为AD且脑脊液AD生物标志物呈阳性(AD,n = 54)以及认知未受损且脑脊液AD生物标志物呈阴性的对照者(CU-N,n = 26)的25种脑脊液生物标志物进行了分析。
我们注意到,虽然在组水平上AD仅与三种生物标志物(基质金属蛋白酶10(MMP-10)、脂肪酸结合蛋白3(FABP3)和8-羟基脱氧鸟苷(8OHdG))水平升高有关,但所有AD参与者中有一半的生物标志物水平升高,这些生物标志物属于至少两个病理生理领域,反映了AD的多样性。套索建模显示,FABP3、24-羟基胆固醇(24OHC)、MMP-10、基质金属蛋白酶2(MMP-2)和8OHdG构成了区分AD与CU-N的最相关且相关性最小的变量集。有趣的是,因子分析表明,代谢和氧化应激的两个标志物(24OHC和8OHdG)贡献了独立于MMP-10和FABP3的信息,提示AD中有两条独立的病理生理途径,一条反映神经退行性变和血管病变,另一条与代谢和氧化应激相关。
更好地理解AD患者个体之间的异质性以及除淀粉样β和tau之外的病理生理过程的不同作用,对于优化个性化治疗策略至关重要。
在脑脊液中检测了一组25种经过高度验证的生物标志物检测方法。
单变量分析中,AD患者的MMP10、FABP3和8OHdG升高。
许多AD患者的多种生物标志物水平升高。
代谢和氧化应激标志物促成了AD多分析物谱。
评估多个生物标志物领域对于理解疾病异质性很重要。