Jia Longfei, Zhu Min, Yang Jianwei, Pang Yana, Wang Qi, Li Ying, Li Tingting, Li Fangyu, Wang Qigeng, Li Yan, Wei Yiping
Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China.
BMC Med. 2021 Nov 15;19(1):264. doi: 10.1186/s12916-021-02142-x.
The most common biomarkers of Alzheimer's disease (AD) are amyloid β (Aβ) and tau, detected in cerebrospinal fluid (CSF) or with positron emission tomography imaging. However, these procedures are invasive and expensive, which hamper their availability to the general population. Here, we report a panel of microRNAs (miRNAs) in serum that can predict P-tau/Aβ42 in CSF and readily differentiate AD from other dementias, including vascular dementia (VaD), Parkinson disease dementia (PDD), behavioral variant frontotemporal dementia (bvFTD), and dementia with Lewy body (DLB).
RNA samples were extracted from the participant's blood. P-tau/Aβ42 of CSF was examined for diagnostic purposes. A pilot study (controls, 21; AD, 23), followed by second (controls, 216; AD, 190) and third groups (controls, 153; AD, 151), is used to establish and verify a predictive model of P-tau/Aβ42 in CSF. The test is then applied to a fourth group of patients with different dementias (controls, 139; AD,155; amnestic mild cognitive impairment [aMCI], 55; VaD, 51; PDD, 53; bvFTD, 53; DLB, 52) to assess its diagnostic capacity.
In the pilot study, 29 upregulated and 31 downregulated miRNAs in the AD group were found. In Dataset 2, these miRNAs were then included as independent variables in the linear regression model. A seven-microRNA panel (miR-139-3p, miR-143-3p, miR-146a-5p, miR-485-5p, miR-10a-5P, miR-26b-5p, and miR-451a-5p) accurately predicted values of P-tau/Aβ42 of CSF. In Datasets 3 and 4, by applying the predicted P-tau/Aβ42, the predictive model successfully differentiates AD from controls and VaD, PDD, bvFTD, and DLB.
This study suggests that the panel of microRNAs is a promising substitute for traditional measurement of P-tau/Aβ42 in CSF as an effective biomarker of AD.
阿尔茨海默病(AD)最常见的生物标志物是淀粉样蛋白β(Aβ)和tau蛋白,可在脑脊液(CSF)中检测到,或通过正电子发射断层扫描成像检测。然而,这些检测方法具有侵入性且成本高昂,这限制了它们在普通人群中的应用。在此,我们报告了一组血清中的微小RNA(miRNA),它们可以预测脑脊液中的磷酸化tau蛋白(P-tau)/Aβ42,并能轻松地区分AD与其他痴呆症,包括血管性痴呆(VaD)、帕金森病痴呆(PDD)、行为变异型额颞叶痴呆(bvFTD)和路易体痴呆(DLB)。
从参与者的血液中提取RNA样本。检测脑脊液中的P-tau/Aβ42用于诊断目的。一项初步研究(对照组21例;AD组23例),随后是第二组(对照组216例;AD组190例)和第三组(对照组153例;AD组151例),用于建立和验证脑脊液中P-tau/Aβ42的预测模型。然后将该检测应用于第四组患有不同痴呆症的患者(对照组139例;AD组155例;遗忘型轻度认知障碍[aMCI]55例;VaD组51例;PDD组53例;bvFTD组53例;DLB组52例),以评估其诊断能力。
在初步研究中,发现AD组中有29种上调的miRNA和31种下调的miRNA。在数据集2中,这些miRNA随后被纳入线性回归模型作为自变量。一个包含7种miRNA的组合(miR-139-3p、miR-143-3p、miR-146a-5p、miR-485-5p、miR-10a-5P、miR-26b-5p和miR-451a-5p)准确预测了脑脊液中P-tau/Aβ42的值。在数据集3和4中,通过应用预测的P-tau/Aβ42,该预测模型成功地区分了AD与对照组以及VaD、PDD、bvFTD和DLB。
本研究表明,该微小RNA组合有望替代传统的脑脊液中P-tau/Aβ42检测,作为AD的一种有效生物标志物。