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先兆期阿尔茨海默病患者脑脊液 YKL-40 水平。

Cerebrospinal fluid levels of YKL-40 in prodromal Alzheimer's disease.

机构信息

Department of Neurology, Institute of Neurology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiaotong University, Shanghai, China.

Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Neurosci Lett. 2020 Jan 10;715:134658. doi: 10.1016/j.neulet.2019.134658. Epub 2019 Nov 30.

Abstract

Recently, cerebrospinal fluid (CSF) YKL-40 levels were reported to be a promising candidate biomarker of glial inflammation in Alzheimer's disease (AD). To detect how APOE ε4 affects CSF YKL-40 levels in cognitively normal (CN) states, mild cognitive impairment (MCI) and AD dementia, data from 35 CN subjects, 63 patients with MCI, and 11 patients with AD from a cross-sectional study in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were investigated. The results showed that CSF YKL-40 concentrations were increased in the AD dementia group than in the CN group. CSF YKL-40 levels were higher in APOE ε4 carriers than in noncarriers with MCI. No statistically significant difference was found in CSF YKL-40 levels between APOE ε4 carrier and noncarriers in AD and CN subjects. CSF YKL-40 concentrations were tightly related to CSF tau and p-tau concentrations in the MCI group. Analysis implied that APOE ε4 might affect CSF YKL-40 levels in MCI subjects, suggesting a crucial role of APOE ε4 in neuroinflammation in detecting individuals who might convert to AD from MCI and, thus, as an effective predictive factor.

摘要

最近,脑脊液(CSF)YKL-40 水平被报道为阿尔茨海默病(AD)神经炎症的一种很有前途的候选生物标志物。为了检测 APOE ε4 如何影响认知正常(CN)状态、轻度认知障碍(MCI)和 AD 痴呆患者的 CSF YKL-40 水平,对来自阿尔茨海默病神经影像学倡议(ADNI)数据库的一项横断面研究中 35 名 CN 受试者、63 名 MCI 患者和 11 名 AD 患者的数据进行了调查。结果显示,AD 痴呆组的 CSF YKL-40 浓度高于 CN 组。APOE ε4 携带者的 CSF YKL-40 水平高于 MCI 患者的非携带者。AD 和 CN 受试者中,APOE ε4 携带者与非携带者的 CSF YKL-40 水平无统计学差异。CSF YKL-40 浓度与 MCI 组的 CSF tau 和 p-tau 浓度密切相关。分析表明,APOE ε4 可能影响 MCI 患者的 CSF YKL-40 水平,这表明 APOE ε4 在神经炎症中起关键作用,可以检测出从 MCI 向 AD 转化的个体,因此是一种有效的预测因素。

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