Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative

Autores
Russo, María Julieta; Cohen, Gabriela; Chrem Mendez, Patricio Alexis; Campos, Jorge; Nahas, Federico Exequiel; Surace, Ezequiel Ignacio; Vazquez, Silvia; Gustafson, Deborah; Guinjoan, Salvador Martín; Allegri, Ricardo Francisco; Sevlever, Gustavo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Purpose: Argentina-Alzheimer’s Disease Neuroimaging Initiative (Arg-ADNI) is the first ADNI study to be performed in Latin America at a medical center with the appropriate infrastructure. Our objective was to describe baseline characteristics and to examine whether biomarkers related to Alzheimer’s disease (AD) physiopathology were associated with worse memory performance. Patients and methods: Fifteen controls and 28 mild cognitive impairment and 13 AD dementia subjects were included. For Arg-ADNI, all biomarker parameters and neuropsychological tests of ADNI-II were adopted. Results of positron emission tomography (PET) with fluorodeoxyglucose and11C-Pittsburgh compound-B (PIB-PET) were available from all participants. Cerebrospinal fluid biomarker results were available from 39 subjects. Results: A total of 56 participants were included and underwent baseline evaluation. The three groups were similar with respect to years of education and sex, and they differed in age (F=5.10, P=0.01). Mean scores for the baseline measurements of the neuropsychological evaluation differed significantly among the three groups at P<0.001, showing a continuum in their neuropsychological performance. No significant correlations were found between the principal measures (long-delay recall, C-Pittsburgh compound-B scan, left hippocampal volume, and APOEε4) and either age, sex, or education (P>0.1). Baseline amyloid deposition and left hippocampal volume separated the three diagnostic groups and correlated with the memory performance (P<0.001). Conclusion: Cross-sectional analysis of baseline data revealed links between cognition, structural changes, and biomarkers. Follow-up of a larger and more representative cohort, particularly analyzing cerebrospinal fluid and brain biomarkers, will allow better characterization of AD in our country.
Fil: Russo, María Julieta. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cohen, Gabriela. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Chrem Mendez, Patricio Alexis. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Campos, Jorge. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Nahas, Federico Exequiel. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina
Fil: Surace, Ezequiel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Vazquez, Silvia. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Gustafson, Deborah. University of New York; Estados Unidos
Fil: Guinjoan, Salvador Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Allegri, Ricardo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Sevlever, Gustavo. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Materia
AGING
ALZHEIMER´S DISEASE
AMYLOID IMAGING
BIOMARKERS
MILD COGNITIVE IMPAIRMENT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/114061
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/114061
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiativeRusso, María JulietaCohen, GabrielaChrem Mendez, Patricio AlexisCampos, JorgeNahas, Federico ExequielSurace, Ezequiel IgnacioVazquez, SilviaGustafson, DeborahGuinjoan, Salvador MartínAllegri, Ricardo FranciscoSevlever, GustavoAGINGALZHEIMER´S DISEASEAMYLOID IMAGINGBIOMARKERSMILD COGNITIVE IMPAIRMENThttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Purpose: Argentina-Alzheimer’s Disease Neuroimaging Initiative (Arg-ADNI) is the first ADNI study to be performed in Latin America at a medical center with the appropriate infrastructure. Our objective was to describe baseline characteristics and to examine whether biomarkers related to Alzheimer’s disease (AD) physiopathology were associated with worse memory performance. Patients and methods: Fifteen controls and 28 mild cognitive impairment and 13 AD dementia subjects were included. For Arg-ADNI, all biomarker parameters and neuropsychological tests of ADNI-II were adopted. Results of positron emission tomography (PET) with fluorodeoxyglucose and11C-Pittsburgh compound-B (PIB-PET) were available from all participants. Cerebrospinal fluid biomarker results were available from 39 subjects. Results: A total of 56 participants were included and underwent baseline evaluation. The three groups were similar with respect to years of education and sex, and they differed in age (F=5.10, P=0.01). Mean scores for the baseline measurements of the neuropsychological evaluation differed significantly among the three groups at P<0.001, showing a continuum in their neuropsychological performance. No significant correlations were found between the principal measures (long-delay recall, C-Pittsburgh compound-B scan, left hippocampal volume, and APOEε4) and either age, sex, or education (P>0.1). Baseline amyloid deposition and left hippocampal volume separated the three diagnostic groups and correlated with the memory performance (P<0.001). Conclusion: Cross-sectional analysis of baseline data revealed links between cognition, structural changes, and biomarkers. Follow-up of a larger and more representative cohort, particularly analyzing cerebrospinal fluid and brain biomarkers, will allow better characterization of AD in our country.Fil: Russo, María Julieta. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Cohen, Gabriela. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Chrem Mendez, Patricio Alexis. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Campos, Jorge. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Nahas, Federico Exequiel. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; ArgentinaFil: Surace, Ezequiel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Vazquez, Silvia. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Gustafson, Deborah. University of New York; Estados UnidosFil: Guinjoan, Salvador Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Allegri, Ricardo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Sevlever, Gustavo. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaDove Press2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/114061Russo, María Julieta; Cohen, Gabriela; Chrem Mendez, Patricio Alexis; Campos, Jorge; Nahas, Federico Exequiel; et al.; Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative; Dove Press; Neuropsychiatric Disease and Treatment; 12; 9-2016; 2199-22061178-2021CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.dovepress.com/predicting-episodic-memory-performance-using-different-biomarkers-resu-peer-reviewed-article-NDTinfo:eu-repo/semantics/altIdentifier/doi/10.2147/NDT.S107051info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028172/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:56:02Zoai:ri.conicet.gov.ar:11336/114061instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:56:03.166CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
title Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
spellingShingle Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
Russo, María Julieta
AGING
ALZHEIMER´S DISEASE
AMYLOID IMAGING
BIOMARKERS
MILD COGNITIVE IMPAIRMENT
title_short Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
title_full Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
title_fullStr Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
title_full_unstemmed Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
title_sort Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative
dc.creator.none.fl_str_mv Russo, María Julieta
Cohen, Gabriela
Chrem Mendez, Patricio Alexis
Campos, Jorge
Nahas, Federico Exequiel
Surace, Ezequiel Ignacio
Vazquez, Silvia
Gustafson, Deborah
Guinjoan, Salvador Martín
Allegri, Ricardo Francisco
Sevlever, Gustavo
author Russo, María Julieta
author_facet Russo, María Julieta
Cohen, Gabriela
Chrem Mendez, Patricio Alexis
Campos, Jorge
Nahas, Federico Exequiel
Surace, Ezequiel Ignacio
Vazquez, Silvia
Gustafson, Deborah
Guinjoan, Salvador Martín
Allegri, Ricardo Francisco
Sevlever, Gustavo
author_role author
author2 Cohen, Gabriela
Chrem Mendez, Patricio Alexis
Campos, Jorge
Nahas, Federico Exequiel
Surace, Ezequiel Ignacio
Vazquez, Silvia
Gustafson, Deborah
Guinjoan, Salvador Martín
Allegri, Ricardo Francisco
Sevlever, Gustavo
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AGING
ALZHEIMER´S DISEASE
AMYLOID IMAGING
BIOMARKERS
MILD COGNITIVE IMPAIRMENT
topic AGING
ALZHEIMER´S DISEASE
AMYLOID IMAGING
BIOMARKERS
MILD COGNITIVE IMPAIRMENT
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Purpose: Argentina-Alzheimer’s Disease Neuroimaging Initiative (Arg-ADNI) is the first ADNI study to be performed in Latin America at a medical center with the appropriate infrastructure. Our objective was to describe baseline characteristics and to examine whether biomarkers related to Alzheimer’s disease (AD) physiopathology were associated with worse memory performance. Patients and methods: Fifteen controls and 28 mild cognitive impairment and 13 AD dementia subjects were included. For Arg-ADNI, all biomarker parameters and neuropsychological tests of ADNI-II were adopted. Results of positron emission tomography (PET) with fluorodeoxyglucose and11C-Pittsburgh compound-B (PIB-PET) were available from all participants. Cerebrospinal fluid biomarker results were available from 39 subjects. Results: A total of 56 participants were included and underwent baseline evaluation. The three groups were similar with respect to years of education and sex, and they differed in age (F=5.10, P=0.01). Mean scores for the baseline measurements of the neuropsychological evaluation differed significantly among the three groups at P<0.001, showing a continuum in their neuropsychological performance. No significant correlations were found between the principal measures (long-delay recall, C-Pittsburgh compound-B scan, left hippocampal volume, and APOEε4) and either age, sex, or education (P>0.1). Baseline amyloid deposition and left hippocampal volume separated the three diagnostic groups and correlated with the memory performance (P<0.001). Conclusion: Cross-sectional analysis of baseline data revealed links between cognition, structural changes, and biomarkers. Follow-up of a larger and more representative cohort, particularly analyzing cerebrospinal fluid and brain biomarkers, will allow better characterization of AD in our country.
Fil: Russo, María Julieta. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cohen, Gabriela. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Chrem Mendez, Patricio Alexis. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Campos, Jorge. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Nahas, Federico Exequiel. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina
Fil: Surace, Ezequiel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Vazquez, Silvia. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Gustafson, Deborah. University of New York; Estados Unidos
Fil: Guinjoan, Salvador Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Allegri, Ricardo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Sevlever, Gustavo. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
description Purpose: Argentina-Alzheimer’s Disease Neuroimaging Initiative (Arg-ADNI) is the first ADNI study to be performed in Latin America at a medical center with the appropriate infrastructure. Our objective was to describe baseline characteristics and to examine whether biomarkers related to Alzheimer’s disease (AD) physiopathology were associated with worse memory performance. Patients and methods: Fifteen controls and 28 mild cognitive impairment and 13 AD dementia subjects were included. For Arg-ADNI, all biomarker parameters and neuropsychological tests of ADNI-II were adopted. Results of positron emission tomography (PET) with fluorodeoxyglucose and11C-Pittsburgh compound-B (PIB-PET) were available from all participants. Cerebrospinal fluid biomarker results were available from 39 subjects. Results: A total of 56 participants were included and underwent baseline evaluation. The three groups were similar with respect to years of education and sex, and they differed in age (F=5.10, P=0.01). Mean scores for the baseline measurements of the neuropsychological evaluation differed significantly among the three groups at P<0.001, showing a continuum in their neuropsychological performance. No significant correlations were found between the principal measures (long-delay recall, C-Pittsburgh compound-B scan, left hippocampal volume, and APOEε4) and either age, sex, or education (P>0.1). Baseline amyloid deposition and left hippocampal volume separated the three diagnostic groups and correlated with the memory performance (P<0.001). Conclusion: Cross-sectional analysis of baseline data revealed links between cognition, structural changes, and biomarkers. Follow-up of a larger and more representative cohort, particularly analyzing cerebrospinal fluid and brain biomarkers, will allow better characterization of AD in our country.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/114061
Russo, María Julieta; Cohen, Gabriela; Chrem Mendez, Patricio Alexis; Campos, Jorge; Nahas, Federico Exequiel; et al.; Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative; Dove Press; Neuropsychiatric Disease and Treatment; 12; 9-2016; 2199-2206
1178-2021
CONICET Digital
CONICET
url http://hdl.handle.net/11336/114061
identifier_str_mv Russo, María Julieta; Cohen, Gabriela; Chrem Mendez, Patricio Alexis; Campos, Jorge; Nahas, Federico Exequiel; et al.; Predicting episodic memory performance using different biomarkers: Results from Argentina-Alzheimer’s disease neuroimaging initiative; Dove Press; Neuropsychiatric Disease and Treatment; 12; 9-2016; 2199-2206
1178-2021
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/doi/10.2147/NDT.S107051
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028172/
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repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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