Biological subtypes of Alzheimer disease A systematic review and meta-analysis

被引:257
作者
Ferreira, Daniel [1 ]
Nordberg, Agneta [1 ,2 ]
Westman, Eric [1 ,3 ]
机构
[1] Karolinska Inst, Div Clin Geriatr, Dept Neurobiol Care Sci & Soc, Huddinge, Sweden
[2] Karolinska Univ Hosp, Theme Aging, Huddinge, Sweden
[3] Kings Coll London, Dept Neuroimaging, Ctr Neuroimaging Sci, Inst Psychiat Psychol & Neurosci, London, England
基金
瑞典研究理事会;
关键词
NEUROPATHOLOGICALLY DEFINED SUBTYPES; LEWY BODIES; BRAIN ATROPHY; PRINCIPAL-COMPONENTS; CEREBROSPINAL-FLUID; SENILE-DEMENTIA; HETEROGENEITY; PATTERNS; IDENTIFICATION; TRAJECTORIES;
D O I
10.1212/WNL.0000000000009058
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective To test the hypothesis that distinct subtypes of Alzheimer disease (AD) exist and underlie the heterogeneity within AD, we conducted a systematic review and meta-analysis on AD subtype studies based on postmortem and neuroimaging data. Methods EMBASE, PubMed, and Web of Science databases were consulted until July 2019. Results Neuropathology and neuroimaging studies have consistently identified 3 subtypes of AD based on the distribution of tau-related pathology and regional brain atrophy: typical, limbic-predominant, and hippocampal-sparing AD. A fourth subtype, minimal atrophy AD, has been identified in several neuroimaging studies. Typical AD displays tau-related pathology and atrophy both in hippocampus and association cortex and has a pooled frequency of 55%. Limbic-predominant, hippocampal-sparing, and minimal atrophy AD had a pooled frequency of 21%, 17%, and 15%, respectively. Between-subtype differences were found in age at onset, age at assessment, sex distribution, years of education, global cognitive status, disease duration, APOE epsilon 4 genotype, and CSF biomarker levels. Conclusion We identified 2 core dimensions of heterogeneity: typicality and severity. We propose that these 2 dimensions determine individuals' belonging to one of the AD subtypes based on the combination of protective factors, risk factors, and concomitant non-AD brain pathologies. This model is envisioned to aid with framing hypotheses, study design, interpretation of results, and understanding mechanisms in future subtype studies. Our model can be used along the A/T/N classification scheme for AD biomarkers. Unraveling the heterogeneity within AD is critical for implementing precision medicine approaches and for ultimately developing successful disease-modifying drugs for AD.
引用
收藏
页码:436 / 448
页数:13
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