Marco Bucci, Ove Almkvist, Marina Bluma, Nicholas J. Ashton, Irina Savitcheva, Konstantinos Chiotis, Guglielmo Di Molfetta, Kaj Blennow, Henrik Zetterberg, Agneta Nordberg
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A total of 122 patients underwent extensive clinical examinations, including CSF analysis (used here for clinical diagnosis only), CT/MRI, neuropsychological (NP) testing (<i>n</i> = 80) and blood biomarker measurements. Prior to PET imaging, 74 patients were diagnosed with MCI among other diagnoses (AD, other dementia, no dementia). Following PET, patients were reclassified into diagnostic groups: MCI Aβ− (<i>n</i> = 29), MCI Aβ+ (<i>n</i> = 19), AD (<i>n</i> = 51), other dementias (<i>n</i> = 11). ROC analysis evaluated the ability of plasma biomarkers to predict Aβ-PET positivity. NP test <i>z</i>-scores were reduced into principal components (PCs) using PCA. Plasma pTau217 and pTau217/Aβ42 ratio were elevated in Aβ+ patients compared to MCI Aβ-patients. The ratio distinguished MCI Aβ+ from AD and, together with pTau217, showed the highest predictive value for Aβ positivity in the MCI group among the biomarkers analyzed (AUC 92.8% and 91.4%). Plasma pTau217/Aβ42 ratio was associated with principal component PC2 (“memory encoding and recall”) in MCI Aβ+ (<i>ρ</i> =0.64, p=0.01) and negatively correlated with RAVL retrieval (PC2) in the same group (<i>ρ</i> =−0.57 and −0.6, p=0.028 and 0.017, respectively). Additionally, pTau217 correlated with the “Information” <i>z</i>-score (PC4) in both AD (<i>ρ</i> = −0.50, <i>p</i> = 0.005) and MCI Aβ+ (<i>ρ</i> = 0.53, <i>p</i> = 0.042). 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Prior to PET imaging, 74 patients were diagnosed with MCI among other diagnoses (AD, other dementia, no dementia). Following PET, patients were reclassified into diagnostic groups: MCI Aβ− (<i>n</i> = 29), MCI Aβ+ (<i>n</i> = 19), AD (<i>n</i> = 51), other dementias (<i>n</i> = 11). ROC analysis evaluated the ability of plasma biomarkers to predict Aβ-PET positivity. NP test <i>z</i>-scores were reduced into principal components (PCs) using PCA. Plasma pTau217 and pTau217/Aβ42 ratio were elevated in Aβ+ patients compared to MCI Aβ-patients. The ratio distinguished MCI Aβ+ from AD and, together with pTau217, showed the highest predictive value for Aβ positivity in the MCI group among the biomarkers analyzed (AUC 92.8% and 91.4%). Plasma pTau217/Aβ42 ratio was associated with principal component PC2 (“memory encoding and recall”) in MCI Aβ+ (<i>ρ</i> =0.64, p=0.01) and negatively correlated with RAVL retrieval (PC2) in the same group (<i>ρ</i> =−0.57 and −0.6, p=0.028 and 0.017, respectively). Additionally, pTau217 correlated with the “Information” <i>z</i>-score (PC4) in both AD (<i>ρ</i> = −0.50, <i>p</i> = 0.005) and MCI Aβ+ (<i>ρ</i> = 0.53, <i>p</i> = 0.042). 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引用次数: 0
摘要
阿尔茨海默病(AD)的特征是脑蛋白沉积、突触传递受损和进行性认知能力下降。这项临床研究由斯德哥尔摩卡罗林斯卡大学医院第三记忆诊所进行,评估血浆pTau217(与其他血浆生物标志物相比)作为预测脑淀粉样蛋白负荷和认知障碍的非侵入性标志物。独特的是,它将血浆生物标志物与认知谱和淀粉样PET结合起来,在现实世界的记忆临床环境中评估跨疾病阶段的诊断效用。共有122名患者接受了广泛的临床检查,包括脑脊液分析(仅用于临床诊断)、CT/MRI、神经心理学(NP)测试(n = 80)和血液生物标志物测量。在PET成像之前,74名患者被诊断为MCI,而其他诊断(AD,其他痴呆,无痴呆)。PET检查后,将患者重新分为诊断组:MCI Aβ - (n = 29), MCI Aβ+ (n = 19), AD (n = 51),其他痴呆(n = 11)。ROC分析评估血浆生物标志物预测Aβ-PET阳性的能力。NP检验的z分数通过主成分分析(PCA)降为主成分(PCs)。与Aβ- MCI患者相比,Aβ+患者血浆pTau217和pTau217/ a - β42比值升高。该比值将MCI Aβ+与AD区分开来,并与pTau217一起,在分析的生物标志物中显示MCI组Aβ阳性的最高预测值(AUC分别为92.8%和91.4%)。血浆pTau217/ a - β42比值与MCI Aβ+中主成分PC2(“记忆编码和回忆”)相关(ρ =0.64, p=0.01),与同一组中RAVL检索(PC2)负相关(ρ = - 0.57和- 0.6,p分别=0.028和0.017)。此外,pTau217与AD (ρ = - 0.50, p = 0.005)和MCI Aβ+ (ρ = 0.53, p = 0.042)的“Information”z-score (PC4)相关。血浆pTau217/ a - β42可能是脑淀粉样蛋白病理的一个有价值的预测因子,也是AD患者特异性认知障碍的潜在标志物。
Profiling Plasma Biomarkers, Particularly pTau217 and pTau217/Aβ42, and Their Relation to Cognition in Memory Clinic Patients
Alzheimer's disease (AD) is characterized by brain protein depositions, impaired synaptic transmission, and progressive cognitive decline. This clinical study, conducted at the tertiary memory clinic of Karolinska University Hospital in Stockholm, evaluates plasma pTau217 (in comparison to other plasma biomarkers) as a non-invasive marker for predicting brain amyloid load and cognitive impairment. Uniquely, it integrates plasma biomarkers with cognitive profiling and amyloid PET to assess diagnostic utility across disease stages in a real-world memory clinic setting. A total of 122 patients underwent extensive clinical examinations, including CSF analysis (used here for clinical diagnosis only), CT/MRI, neuropsychological (NP) testing (n = 80) and blood biomarker measurements. Prior to PET imaging, 74 patients were diagnosed with MCI among other diagnoses (AD, other dementia, no dementia). Following PET, patients were reclassified into diagnostic groups: MCI Aβ− (n = 29), MCI Aβ+ (n = 19), AD (n = 51), other dementias (n = 11). ROC analysis evaluated the ability of plasma biomarkers to predict Aβ-PET positivity. NP test z-scores were reduced into principal components (PCs) using PCA. Plasma pTau217 and pTau217/Aβ42 ratio were elevated in Aβ+ patients compared to MCI Aβ-patients. The ratio distinguished MCI Aβ+ from AD and, together with pTau217, showed the highest predictive value for Aβ positivity in the MCI group among the biomarkers analyzed (AUC 92.8% and 91.4%). Plasma pTau217/Aβ42 ratio was associated with principal component PC2 (“memory encoding and recall”) in MCI Aβ+ (ρ =0.64, p=0.01) and negatively correlated with RAVL retrieval (PC2) in the same group (ρ =−0.57 and −0.6, p=0.028 and 0.017, respectively). Additionally, pTau217 correlated with the “Information” z-score (PC4) in both AD (ρ = −0.50, p = 0.005) and MCI Aβ+ (ρ = 0.53, p = 0.042). Plasma pTau217/Aβ42 might be a valuable predictor of brain amyloid pathology and a potential marker of domain-specific cognitive impairment in AD.
期刊介绍:
Journal of Neurochemistry focuses on molecular, cellular and biochemical aspects of the nervous system, the pathogenesis of neurological disorders and the development of disease specific biomarkers. It is devoted to the prompt publication of original findings of the highest scientific priority and value that provide novel mechanistic insights, represent a clear advance over previous studies and have the potential to generate exciting future research.