Alzheimer's disease diagnostic accuracy by fluid and neuroimaging ATN framework

Author:

Xiong Xi1,He Haijun1,Ye Qianqian1,Qian Shuangjie1,Zhou Shuoting1,Feng Feifei1,Fang Evandro F.23,Xie Chenglong1456ORCID

Affiliation:

1. Department of Neurology The First Affiliated Hospital of Wenzhou Medical University Wenzhou China

2. Department of Clinical Molecular Biology Akershus University Hospital, University of Oslo Lørenskog Norway

3. The Norwegian Centre on Healthy Ageing (NO‐Age) Oslo Norway

4. Key Laboratory Of Alzheimer's Disease Of Zhejiang Province Wenzhou China

5. Institute of Aging Wenzhou Medical University Wenzhou China

6. Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province Wenzhou China

Abstract

AbstractObjectivesThe ATN's different modalities (fluids and neuroimaging) for each of the Aβ (A), tau (T), and neurodegeneration (N) elements are used for the biological diagnosis of Alzheimer's disease (AD). We aim to identify which ATN category achieves the highest potential for diagnosis and predictive accuracy of longitudinal cognitive decline.MethodsBased on the availability of plasma ATN biomarkers (plasma‐derived Aβ42/40, p‐tau181, NFL, respectively), CSF ATN biomarkers (CSF‐derived Aβ42/Aβ40, p‐tau181, NFL), and neuroimaging ATN biomarkers (18F‐florbetapir (FBP) amyloid‐PET, 18F‐flortaucipir (FTP) tau‐PET, and fluorodeoxyglucose (FDG)‐PET), a total of 2340 participants were selected from ADNI.ResultsOur data analysis indicates that the area under curves (AUCs) of CSF‐A, neuroimaging‐T, and neuroimaging‐N were ranked the top three ATN candidates for accurate diagnosis of AD. Moreover, neuroimaging ATN biomarkers display the best predictive ability for longitudinal cognitive decline among the three categories. To note, neuroimaging‐T correlates well with cognitive performances in a negative correlation manner. Meanwhile, participants in the “N” element positive group, especially the CSF‐N positive group, experience the fastest cognitive decline compared with other groups defined by ATN biomarkers. In addition, the voxel‐wise analysis showed that CSF‐A related to tau accumulation and FDG–PET indexes more strongly in subjects with MCI stage. According to our analysis of the data, the best three ATN candidates for a precise diagnosis of AD are CSF‐A, neuroimaging‐T, and neuroimaging‐N.ConclusionsCollectively, our findings suggest that plasma, CSF, and neuroimaging biomarkers differ considerably within the ATN framework; the most accurate target biomarkers for diagnosing AD were the CSF‐A, neuroimaging‐T, and neuroimaging‐N within each ATN modality. Moreover, neuroimaging‐T and CSF‐N both show excellent ability in the prediction of cognitive decline in two different dimensions.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Pharmacology (medical),Physiology (medical),Psychiatry and Mental health,Pharmacology

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