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基于表面形态测量法探索阿尔茨海默病和遗忘型轻度认知障碍患者脑结构萎缩与血浆淀粉样β蛋白及磷酸化tau蛋白之间的相关性

Correlation Between Brain Structure Atrophy and Plasma Amyloid-β and Phosphorylated Tau in Patients With Alzheimer's Disease and Amnestic Mild Cognitive Impairment Explored by Surface-Based Morphometry.

作者信息

Li Kaidi, Qu Hang, Ma Mingyi, Xia Chenyu, Cai Ming, Han Fang, Zhang Qing, Gu Xinyi, Ma Qiang

机构信息

Department of Neurology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Department of Imaging, Yangzhou First People's Hospital, Affiliated Hospital of Yangzhou University, Yangzhou, China.

出版信息

Front Aging Neurosci. 2022 Apr 25;14:816043. doi: 10.3389/fnagi.2022.816043. eCollection 2022.

DOI:10.3389/fnagi.2022.816043
PMID:35547625
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9083065/
Abstract

OBJECTIVE

To investigate the changes in the cortical thickness of the region of interest (ROI) and plasma Aβ40, Aβ42, and phosphorylated Tau (P-Tau) concentrations in patients with Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) as the disease progressed with surface-based morphometry (SBM), to analyze the correlation between ROI cortical thickness and measured plasma indexes and neuropsychological scales, and to explore the clinical value of ROI cortical thickness combined with plasma Aβ40, Aβ42, and P-Tau in the early recognition and diagnosis of AD.

METHODS

This study enrolled 33 patients with AD, 48 patients with aMCI, and 33 healthy controls (normal control, NC). Concentration changes in plasma Aβ42, Aβ40, and P-Tau collected in each group were analyzed. Meanwhile, the whole brain T1 structure images (T1WI-3D-MPRAGE) of each group of patients were collected, and T1 image in AD-aMCI, AD-NC, and aMCI-NC group were analyzed and processed by SBM technology to obtain brain regions with statistical differences as clusters, and the cortical thickness of each cluster was extracted. Multivariate ordered logistic regression analysis was used to screen out the measured plasma indexes and the indexes with independent risk factors in the cortical thickness of each cluster. Three comparative receiver operating characteristic (ROC) curves of AD-aMCI, AD-NC, and aMCI-NC groups were plotted, respectively, to explore the diagnostic value of multi-factor combined prediction for cognitive impairment. The relationship between cortical thickness and plasma indexes, and between cortical thickness and Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were clarified by Pearson correlation analysis.

RESULTS

Plasma Aβ40, Aβ42, and P-Tau proteins in the NC, aMCI, and AD groups increased with the progression of AD ( < 0.01); cortical thickness reductions in the AD-aMCI groups and AD-NC groups mainly involved the bilateral superior temporal gyrus, transverse temporal gyrus, superior marginal gyrus, insula, right entorhinal cortex, right fusiform gyrus, and cingulate gyrus. However, there were no statistical significances in cortical thickness reductions in the aMCI and NC groups. The cortical thickness of the ROI was negatively correlated with plasma Aβ40, Aβ42, and P-Tau concentrations ( < 0.05), and the cortical thickness of the ROI was positively correlated with MMSE and MoCA scores. Independent risk factors such as Aβ40, Aβ42, P-Tau, and AD-NC cluster 1R (right superior temporal gyrus, temporal pole, entorhinal cortex, transverse temporal gyrus, fusiform gyrus, superior marginal gyrus, middle temporal gyrus, and inferior temporal gyrus) were combined to plot ROC curves. The diagnostic efficiency of plasma indexes was higher than that of cortical thickness indexes, the diagnostic efficiency of ROC curves after the combination of cortical thickness and plasma indexes was higher than that of cortical thickness or plasma indexes alone.

CONCLUSION

Plasma Aβ40, Aβ42, and P-Tau may be potential biomarkers for early prediction of AD. As the disease progressed, AD patients developed cortical atrophy characterized by atrophy of the medial temporal lobe. The combined prediction of these region and plasma Aβ40, Aβ42, and P-Tau had a higher diagnostic value than single-factor prediction for cognitive decline.

摘要

目的

采用基于表面的形态测量法(SBM)研究阿尔茨海默病(AD)和遗忘型轻度认知障碍(aMCI)患者随着疾病进展,感兴趣区域(ROI)的皮质厚度以及血浆β淀粉样蛋白40(Aβ40)、β淀粉样蛋白42(Aβ42)和磷酸化tau蛋白(P-Tau)浓度的变化,分析ROI皮质厚度与所测血浆指标及神经心理量表之间的相关性,探讨ROI皮质厚度联合血浆Aβ40、Aβ42和P-Tau在AD早期识别与诊断中的临床价值。

方法

本研究纳入33例AD患者、48例aMCI患者和33名健康对照者(正常对照,NC)。分析每组采集的血浆Aβ42、Aβ40和P-Tau的浓度变化。同时,采集每组患者的全脑T1结构图像(T1WI-3D-MPRAGE),采用SBM技术对AD-aMCI组、AD-NC组和aMCI-NC组的T1图像进行分析处理,得到具有统计学差异的脑区聚类,并提取每个聚类的皮质厚度。采用多变量有序逻辑回归分析筛选出所测血浆指标以及每个聚类皮质厚度中的独立危险因素指标。分别绘制AD-aMCI组、AD-NC组和aMCI-NC组的三条比较性受试者工作特征(ROC)曲线,探讨多因素联合预测对认知障碍的诊断价值。通过Pearson相关分析明确皮质厚度与血浆指标之间,以及皮质厚度与简易精神状态检查表(MMSE)和蒙特利尔认知评估量表(MoCA)评分之间的关系。

结果

NC组、aMCI组和AD组的血浆Aβ40、Aβ42和P-Tau蛋白随着AD病情进展而升高(<0.01);AD-aMCI组和AD-NC组的皮质厚度降低主要累及双侧颞上回、颞横回、缘上回、脑岛、右侧内嗅皮质、右侧梭状回和扣带回。然而,aMCI组和NC组的皮质厚度降低无统计学意义。ROI的皮质厚度与血浆Aβ40、Aβ42和P-Tau浓度呈负相关(<0.05),ROI的皮质厚度与MMSE和MoCA评分呈正相关。将Aβ40、Aβ42、P-Tau以及AD-NC聚类1R(右侧颞上回、颞极、内嗅皮质、颞横回、梭状回、缘上回、颞中回和颞下回)等独立危险因素指标联合绘制ROC曲线。血浆指标的诊断效率高于皮质厚度指标,皮质厚度与血浆指标联合后的ROC曲线诊断效率高于单独的皮质厚度或血浆指标。

结论

血浆Aβ40、Aβ42和P-Tau可能是AD早期预测的潜在生物标志物。随着疾病进展,AD患者出现以内侧颞叶萎缩为特征的皮质萎缩。这些区域与血浆Aβ40、Aβ42和P-Tau的联合预测对认知功能下降的诊断价值高于单因素预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/74dcd98697cc/fnagi-14-816043-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/2a55e42e22c1/fnagi-14-816043-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/b4893ce74095/fnagi-14-816043-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/75f270b0ee73/fnagi-14-816043-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/74dcd98697cc/fnagi-14-816043-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/2a55e42e22c1/fnagi-14-816043-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/b4893ce74095/fnagi-14-816043-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/75f270b0ee73/fnagi-14-816043-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe96/9083065/74dcd98697cc/fnagi-14-816043-g004.jpg

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