Application of the NIA-AA Research Framework: Towards a Biological Definition of Alzheimer's Disease using Cerebrospinal Fluid Biomarkers in the AIBL Study

被引:35
作者
Burnham, S. C. [1 ]
Coloma, P. M. [2 ]
Li, Q-X [3 ]
Collins, S. [4 ]
Savage, G. [5 ,6 ]
Laws, S. [7 ,8 ]
Doecke, J. [9 ]
Maruff, P. [10 ]
Martins, R. N. [7 ,11 ]
Ames, D. [12 ]
Rowe, C. C. [13 ,14 ]
Masters, C. L. [3 ]
Villemagne, V. L. [3 ,13 ,14 ]
机构
[1] CSIRO Hlth & Biosecur, Parkville, Vic, Australia
[2] F Hoffmann La Roche Ltd, Personalised Hlth Care Data Sci, Basel, Switzerland
[3] Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Parkville, Vic, Australia
[4] Univ Melbourne, Dept Pathol, Parkville, Vic, Australia
[5] Macquarie Univ, ARC Ctr Excellence Cognit & Its Disorders CCD, Sydney, NSW, Australia
[6] Macquarie Univ, Dept Psychol, Sydney, NSW, Australia
[7] Edith Cowan Univ, Sch Med & Hlth Sci, Joondalup, Australia
[8] Curtin Univ, Sch Pharm & Biomed Sci, Bentley, WA, Australia
[9] CSIRO Hlth & Biosecur, Herston, Qld, Australia
[10] Cogstate Ltd, Melbourne, Vic, Australia
[11] Macquarie Univ, Dept Biomed Sci, Sydney, NSW, Australia
[12] Univ Melbourne, Natl Ageing Res Inst, Parkville, Vic, Australia
[13] Austin Hlth, Dept Mol Imaging & Therapy, Melbourne, Vic, Australia
[14] Austin Hlth, Dept Med, Heidelberg, Vic, Australia
来源
JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE | 2019年 / 6卷 / 04期
基金
英国医学研究理事会;
关键词
Alzheimer's disease; biomarkers; progression; longitudinal; AMYLOID HYPOTHESIS; COGNITIVE DECLINE; NEURODEGENERATION; INDIVIDUALS; DIAGNOSIS; TAU;
D O I
10.14283/jpad.2019.25
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background The National Institute on Aging and Alzheimer's Association (NIA-AA) have proposed a new Research Framework: Towards a biological definition of Alzheimer's disease, which uses a three-biomarker construct: A ss-amyloid, tau and neurodegeneration AT(N), to generate a biomarker based definition of Alzheimer's disease. Objectives To stratify AIBL participants using the new NIA-AA Research Framework using cerebrospinal fluid (CSF) biomarkers. To evaluate the clinical and cognitive profiles of the different groups resultant from the AT(N) stratification. To compare the findings to those that result from stratification using two-biomarker construct criteria (AT and/or A(N)). Design Individuals were classified as being positive or negative for each of the A, T, and (N) categories and then assigned to the appropriate AT(N) combinatorial group: A-T-(N)-; A+T-(N)-; A+T+(N)-; A+T-(N)+; A+T+(N)+; A-T+(N)-; A-T-(N)+; A-T+(N)+. In line with the NIA-AA research framework, these eight AT(N) groups were then collapsed into four main groups of interest (normal AD biomarkers, AD pathologic change, AD and non-AD pathologic change) and the respective clinical and cognitive trajectories over 4.5 years for each group were assessed. In two sensitivity analyses the methods were replicated after assigning individuals to four groups based on being positive or negative for AT biomarkers as well as A(N) biomarkers. Setting Two study centers in Melbourne (Victoria) and Perth (Western Australia), Australia recruited MCI individuals and individuals with AD from primary care physicians or tertiary memory disorder clinics. Cognitively healthy, elderly NCs were recruited through advertisement or via spouses of participants in the study. Participants One-hundred and forty NC, 33 MCI participants, and 27 participants with AD from the AIBL study who had undergone CSF evaluation using Elecsys (R) assays. Intervention (if any) Not applicable. Measurements Three CSF biomarkers, namely amyloid beta 1-42, phosphorylated tau181, and total tau, were measured to provide the AT(N) classifications. Clinical and cognitive trajectories were evaluated using the AIBL Preclinical Alzheimer Cognitive Composite (AIBL-PACC), a verbal episodic memory composite, an executive function composite, California Verbal Learning Test-Second Edition; Long-Delay Free Recall, Mini-Mental State Examination, and Clinical Dementia Rating Sum of Boxes scores. Results Thirty-eight percent of the elderly NCs had no evidence of abnormal AD biomarkers, whereas 33% had biomarker levels consistent with AD or AD pathologic change, and 29% had evidence of non-AD biomarker change. Among NC participants, those with biomarker evidence of AD pathology tended to perform worse on cognitive outcome assessments than other biomarker groups. Approximately three in four participants with MCI or AD had biomarker levels consistent with the research framework's definition of AD or AD pathologic change. For MCI participants, a decrease in AIBL-PACC scores was observed with increasing abnormal biomarkers; and increased abnormal biomarkers were also associated with increased rates of decline across some cognitive measures. Conclusions Increasing biomarker abnormality appears to be associated with worse cognitive trajectories. The implementation of biomarker classifications could help better characterize prognosis in clinical practice and identify those at-risk individuals more likely to clinically progress, for their inclusion in future therapeutic trials.
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收藏
页码:248 / 255
页数:8
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