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Extracellular vesicle biomarkers of Alzheimer's disease associated with sub-clinical cognitive decline in late middle age.
Eren, Erden; Hunt, Jack F V; Shardell, Michelle; Chawla, Sahil; Tran, Joyce; Gu, Jeffrey; Vogt, Nick M; Johnson, Sterling C; Bendlin, Barbara B; Kapogiannis, Dimitrios.
Afiliação
  • Eren E; Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland, USA.
  • Hunt JFV; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin, Madison, Wisconsin, USA.
  • Shardell M; University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Chawla S; Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland, USA.
  • Tran J; Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland, USA.
  • Gu J; Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland, USA.
  • Vogt NM; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin, Madison, Wisconsin, USA.
  • Johnson SC; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin, Madison, Wisconsin, USA.
  • Bendlin BB; Geriatric Research Education and Clinical Center of the Wm. S. Middleton, Memorial Veterans Hospital, Madison, Wisconsin, USA.
  • Kapogiannis D; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin, Madison, Wisconsin, USA.
Alzheimers Dement ; 16(9): 1293-1304, 2020 09.
Article em En | MEDLINE | ID: mdl-32588967
ABSTRACT

INTRODUCTION:

Neuronal extracellular vesicle (nEV) tau and insulin signaling biomarkers may detect preclinical Alzheimer's disease and age-associated cognitive decline.

METHODS:

This case-control study used repeated serum samples from 73 cognitively declining and 73 stable Wisconsin Registry for Alzheimer's Prevention participants (62.4 ± 6.3 years old). We immunocaptured nEVs; measured tau and insulin signaling biomarkers; and examined biomarker differences by group, their performance in group classification in training and test datasets (97, 49 individuals, respectively), and whether they predict cognitive performance change.

RESULTS:

Declining compared to stable individuals showed higher baseline total, p231-, and p181-tau with older age and higher annualized change for p-IR and p-IGF-1R. Combining biomarkers classified decliners with 94% area under the curve (AUC), 86.0% sensitivity and 86.7% specificity, in training data, and 75% AUC, 71.4% sensitivity, and 77.3% specificity, in test data. Insulin biomarkers predicted cognitive performance change prospectively.

DISCUSSION:

Combining nEV biomarkers can identify individuals with age-associated cognitive decline.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Doença de Alzheimer / Disfunção Cognitiva / Sintomas Prodrômicos / Vesículas Extracelulares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Alzheimers Dement Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Doença de Alzheimer / Disfunção Cognitiva / Sintomas Prodrômicos / Vesículas Extracelulares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Alzheimers Dement Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos