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首页> 外文期刊>Neurobiology of Aging: Experimental and Clinical Research >Serial CSF sampling in Alzheimer's disease: Specific versus non-specific markers
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Serial CSF sampling in Alzheimer's disease: Specific versus non-specific markers

机译:阿尔茨海默氏病的连续脑脊液采样:特异性和非特异性标记

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In this longitudinal study we investigated change over time in cerebrospinal fluid (CSF) levels of amyloid-beta 40 and 42 (Aβ40 and Aβ42), total tau (tau), tau phosphorylated at threonine 181 (ptau-181), isoprostane, neurofilaments heavy (NfH) and light (NfL). Twenty-four nondemented subjects, 62 mild cognitive impairment (MCI) and 68 Alzheimer's disease (AD) patients underwent 2 lumbar punctures, with minimum interval of 6, and a mean ± SD of 24 ± 13 months. Linear mixed models were used to assess change over time. Amyloid-beta 42, tau, and tau phosphorylated at threonine 181, differentiated between diagnosis groups (. p < 0.05), whereas isoprostane, neurofilaments heavy, and NfL did not. In contrast, effects of follow-up time were only found for nonspecific CSF biomarkers: levels of NfL decreased, and levels of isoprostane, amyloid-beta 40, and tau increased over time (. p < 0.05). Isoprostane showed the largest increase. In addition, increase in isoprostane was associated with progression of mild cognitive impairment to AD, and with cognitive decline as reflected by change in Mini Mental State Examination (MMSE). Contrary to AD-specific markers, nonspecific CSF biomarkers, most notably isoprostane, showed change over time. These markers could potentially be used to monitor disease progression in AD.
机译:在这项纵向研究中,我们调查了脑脊髓液(CSF)的淀粉样β40和42(Aβ40和Aβ42),总tau(tau),在苏氨酸181磷酸化的tau(ptau-181),异前列腺素,神经丝重的随时间的变化(NfH)和光(NfL)。 24名非痴呆受试者,62例轻度认知障碍(MCI)和68例阿尔茨海默氏病(AD)患者接受了2次腰穿,最小间隔为6次,平均±SD为24±13个月。线性混合模型用于评估随时间的变化。 β淀粉样蛋白42,tau和tau在苏氨酸181处被磷酸化,在诊断组之间有所区别(。p <0.05),而异前列烷,重度神经丝和NfL则没有。相比之下,随访时间的影响仅针对非特异性CSF生物标记物:NfL水平降低,异前列腺素,β-淀粉样蛋白40和tau的水平随时间增加(。p <0.05)。异前列腺素增幅最大。此外,异前列腺素的增加与轻度认知障碍向AD的进展有关,并与迷你精神状态检查(MMSE)的变化所反映的认知下降有关。与AD特异性标志物相反,非特异性CSF生物标志物(最著名的是异前列腺素)显示随时间变化。这些标记物可潜在地用于监测AD中的疾病进展。

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