Detection of cerebrospinal fluid biomarkers changes of Alzheimer's disease using a cognitive stress test in persons with subjective cognitive decline and mild cognitive impairment.

Alzheimer’s disease cerebrospinal fluid biomarkers memory mild cognitive impairment neuropsychological assessment semantic interference

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2024
Historique:
received: 19 01 2024
accepted: 14 06 2024
medline: 11 7 2024
pubmed: 11 7 2024
entrez: 11 7 2024
Statut: epublish

Résumé

Timely and accurate diagnosis of the earliest manifestations of Alzheimer's disease (AD) is critically important. Cognitive challenge tests such as the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L) have shown favorable diagnostic properties in a number of previous investigations using amyloid or FDG PET. However, no studies have examined LASSI-L performance against cerebrospinal fluid biomarkers of AD, which can be affected before the distribution of fibrillar amyloid and other changes that can be observed in brain neuroimaging. Therefore, we aimed to evaluate the relationship between LASSI-L scores and CSF biomarkers and the capacity of the cognitive challenge test to detect the presence of amyloid and tau deposition in patients with subjective cognitive decline and amnestic mild cognitive impairment (MCI). One hundred and seventy-nine patients consulting for memory loss without functional impairment were enrolled. Patients were examined using comprehensive neuropsychological assessment, the LASSI-L, and cerebrospinal fluid (CSF) biomarkers (Aβ1-42/Aβ1-40 and ptau181). Means comparisons, correlations, effect sizes, and ROC curves were calculated. LASSI-L scores were significantly associated with CSF biomarkers Aβ1-42/Aβ1-40 in patients diagnosed with MCI and subjective cognitive decline, especially those scores evaluating the capacity to recover from proactive semantic interference effects and delayed recall. A logistic regression model for the entire sample including LASSI-L and age showed an accuracy of 0.749 and an area under the curve of 0.785 to detect abnormal amyloid deposition. Our study supports the biological validity of the LASSI-L and its semantic interference paradigm in the context of the early stages of AD. These findings emphasize the utility and the convenience of including sensitive cognitive challenge tests in the assessment of patients with suspicion of early stages of AD.

Identifiants

pubmed: 38988382
doi: 10.3389/fpsyg.2024.1373541
pmc: PMC11233766
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1373541

Informations de copyright

Copyright © 2024 Valles-Salgado, Gil-Moreno, Curiel Cid, Delgado-Álvarez, Ortega-Madueño, Delgado-Alonso, Palacios-Sarmiento, López-Carbonero, Cárdenas, Matías-Guiu, Díez-Cirarda, Loewenstein and Matias-Guiu.

Déclaration de conflit d'intérêts

DL and RC are co-developers of intellectual property mentioned in the manuscript. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Maria Valles-Salgado (M)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

María José Gil-Moreno (MJ)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Rosie E Curiel Cid (RE)

Center for Cognitive Neuroscience and Aging, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.

Alfonso Delgado-Álvarez (A)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Isabel Ortega-Madueño (I)

Department of Clinical Analysis, Institute of Laboratory, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Cristina Delgado-Alonso (C)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Marta Palacios-Sarmiento (M)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Juan I López-Carbonero (JI)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

María Cruz Cárdenas (MC)

Department of Clinical Analysis, Institute of Laboratory, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Jorge Matías-Guiu (J)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

María Díez-Cirarda (M)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

David A Loewenstein (DA)

Center for Cognitive Neuroscience and Aging, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.

Jordi A Matias-Guiu (JA)

Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Classifications MeSH