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Brain Atrophy Subtypes and the ATN Classification Scheme in Alzheimer's Disease.
Cedres, Nira; Ekman, Urban; Poulakis, Konstantinos; Shams, Sara; Cavallin, Lena; Muehlboeck, Sebastian; Granberg, Tobias; Wahlund, Lars-Olof; Ferreira, Daniel; Westman, Eric.
Afiliação
  • Cedres N; Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.
  • Ekman U; Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.
  • Poulakis K; Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.
  • Shams S; Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.
  • Cavallin L; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Muehlboeck S; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.
  • Granberg T; Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.
  • Wahlund LO; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Ferreira D; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.
  • Westman E; Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.
Neurodegener Dis ; 20(4): 153-164, 2020.
Article em En | MEDLINE | ID: mdl-33789287
ABSTRACT

INTRODUCTION:

We investigated the association between atrophy subtypes of Alzheimer's disease (AD), the ATN classification scheme, and key demographic and clinical factors in 2 cohorts with different source characteristics (a highly selective research-oriented cohort, the Alzheimer's Disease Neuroimaging Initiative [ADNI]; and a naturalistic heterogeneous clinically oriented cohort, Karolinska Imaging Dementia Study [KIDS]).

METHODS:

A total of 382 AD patients were included. Factorial analysis of mixed data was used to investigate associations between AD subtypes based on brain atrophy patterns, ATN profiles based on cerebrospinal fluid biomarkers, and age, sex, Mini Mental State Examination (MMSE), cerebrovascular disease (burden of white matter signal abnormalities, WMSAs), and APOE genotype.

RESULTS:

Older patients with high WMSA burden, belonging to the typical AD subtype and showing A+T+N+ or A+T+N- profiles clustered together and were mainly from ADNI. Younger patients with low WMSA burden, limbic-predominant or minimal atrophy AD subtypes, and A+T-N- or A+T-N+ profiles clustered together and were mainly from KIDS. APOE ε4 carriers more frequently showed the A+T-N- and A+T+N- profiles.

CONCLUSIONS:

Our findings align with the recent framework for biological subtypes of AD the combination of risk factors, protective factors, and brain pathologies determines belonging of AD patients to distinct subtypes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Neurodegener Dis Assunto da revista: NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Neurodegener Dis Assunto da revista: NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia