背景:基于血液的生物标志物是诊断前驱阶段阿尔茨海默病(AD)(轻度认知损害-MCI)的有前途的工具,并希望作为有认知不适的患者的筛查工具。在这项工作中,我们评估了周围神经生物标志物预测AD-痴呆进展的潜力,以及血液和CSF-AD标志物在一般神经科转诊的MCI患者中的关系。
方法:纳入了在科英布拉大学中心医院神经内科随访的106名MCI患者。有关基线神经心理学评估的数据,所有患者均可获得Aβ42,Aβ40,t-Tau和p-Tau181的CSF水平。Aβ42,Aβ40,t-Tau,p-Tau181、GFAP和NfL水平通过商业单分子阵列(SiMoA)测定在基线储存的血清和血浆样品中测定。在随访时评估从MCI到AD-痴呆的进展(平均5.8±3.4年)。
结果:在基线血液标志物NfL,在随访时进展为AD的患者中GFAP和p-Tau181显著增加(p<0.001)。相反,血浆Aβ42/40比值和t-Tau在组间无显著差异。NFL,GFAP和p-Tau181显示出良好的诊断准确性,可识别AD-痴呆的进展(AUC分别为0.81、0.80和0.76),合并后改善(AUC=0.89)。GFAP和p-Tau181与CSFAβ42相关。p-Tau181与NfL的关联是由GFAP介导的,与总效应的88%显著间接关联。
结论:我们的研究结果强调了结合基于血液的GFAP的潜力,NfL和p-Tau181将作为MCI的预后工具。
Blood-based biomarkers are promising tools for the diagnosis of Alzheimer disease (AD) at prodromal stages (mild cognitive impairment [MCI]) and are hoped to be implemented as screening tools for patients with cognitive complaints. In this work, we evaluated the potential of peripheral neurological biomarkers to predict progression to AD dementia and the relation between blood and cerebrospinal fluid (CSF) AD markers in MCI patients referred from a general neurological department.
A group of 106 MCI patients followed at the Neurology Department of Coimbra University Hospital was included. Data regarding baseline neuropsychological evaluation, CSF levels of amyloid β 42 (Aβ42), Aβ40, total tau (t-Tau), and phosphorylated tau 181 (p-Tau181) were available for all the patients. Aβ42, Aβ40, t-Tau, p-Tau181, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) levels were determined in baseline stored serum and plasma samples by commercial SiMoA (Single Molecule Array) assays. Progression from MCI to AD dementia was assessed at follow-up (mean = 5.8 ± 3.4 years).
At baseline, blood markers NfL, GFAP, and p-Tau181 were significantly increased in patients who progressed to AD at follow-up (p < 0.001). In contrast, plasma Aβ42/40 ratio and t-Tau showed no significant differences between groups. NfL, GFAP, and p-Tau181 demonstrated good diagnostic accuracy to identify progression to AD dementia (area under the curve [AUC] = 0.81, 0.80, and 0.76, respectively), which improved when combined (AUC = 0.89). GFAP and p-Tau181 were correlated with CSF Aβ42. Association of p-Tau181 with NfL was mediated by GFAP, with a significant indirect association of 88% of the total effect.
Our findings highlight the potential of combining blood-based GFAP, NfL, and p-Tau181 to be applied as a prognostic tool in MCI.