Literature DB >> 21593572

Amyloid-β₄₂ is associated with cognitive impairment in healthy elderly and subjective cognitive impairment.

Sindre Rolstad1, Anne Ingeborg Berg, Maria Bjerke, Kaj Blennow, Boo Johansson, Henrik Zetterberg, Anders Wallin.   

Abstract

The aim of this study was to predict cognitive performance on the basis of the cerebrospinal fluid (CSF) biomarkers total tau (T-tau) and amyloid-β₄₂ (Aβ₄₂) in controls and patients at various impairment levels. Previous studies have found an association of CSF T-tau levels with cognitive symptoms, but it has been difficult to relate Aβ to cognition, and it has thus been hypothesized that Aβ reaches a plateau level prior to cognitive symptoms. A comprehensive battery of neuropsychological tests was subjected to factor analysis to yield aggregated cognitive domains. Linear regression models were performed for the total sample of the Gothenburg MCI study (n = 435) and for each level of impairment. Aβ₄₂ and T-tau accounted for a significant proportion of performance in all cognitive domains in the total sample. In controls (n = 60) and patients with subjective cognitive impairment (n = 105), Aβ₄₂ predicted a significant proportion of semantic and working memory performance. For patients with mild cognitive impairment (n = 170), T-tau had the most pronounced impact across cognitive domains, and more specifically on episodic memory, visuospatial, and speed/executive performance. For patients with dementia (n = 100), the most pronounced impacts of Aβ₄₂ were found in episodic memory and visuospatial functioning, while T-tau was substantially associated with episodic memory. Our results suggest that cognition is related to CSF biomarkers regardless of impairment level. Aβ₄₂ is associated with cognitive functions from a potentially early to a later disease phase, and T-tau is more indicative of performance in a later disease phase.

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Year:  2011        PMID: 21593572     DOI: 10.3233/JAD-2011-110038

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  18 in total

1.  A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment.

Authors:  Laura E Gibbons; Adam C Carle; R Scott Mackin; Danielle Harvey; Shubhabrata Mukherjee; Philip Insel; S McKay Curtis; Dan Mungas; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

2.  Tau and Amyloid-β Cerebrospinal Fluid Biomarkers have Differential Relationships with Cognition in Mild Cognitive Impairment.

Authors:  Charles B Malpas; Michael M Saling; Dennis Velakoulis; Patricia Desmond; Terence J O'Brien
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

3.  Cross-sectional and longitudinal relationships between cerebrospinal fluid biomarkers and cognitive function in people without cognitive impairment from across the adult life span.

Authors:  Ge Li; Steven P Millard; Elaine R Peskind; Jing Zhang; Chang-En Yu; James B Leverenz; Cynthia Mayer; Jane S Shofer; Murray A Raskind; Joseph F Quinn; Douglas R Galasko; Thomas J Montine
Journal:  JAMA Neurol       Date:  2014-06       Impact factor: 18.302

4.  Cognitive Variability Predicts Incident Alzheimer's Disease and Mild Cognitive Impairment Comparable to a Cerebrospinal Fluid Biomarker.

Authors:  Carey E Gleason; Derek Norton; Eric D Anderson; Michelle Wahoske; Danielle T Washington; Emre Umucu; Rebecca L Koscik; N Maritza Dowling; Sterling C Johnson; Cynthia M Carlsson; Sanjay Asthana
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

5.  Relationship between cerebrospinal fluid biomarkers of Alzheimer's disease and cognition in cognitively normal older adults.

Authors:  Corinne Pettigrew; Anja Soldan; Abhay Moghekar; Mei-Cheng Wang; Alden L Gross; Richard O'Brien; Marilyn Albert
Journal:  Neuropsychologia       Date:  2015-09-21       Impact factor: 3.139

6.  CSF biomarker and PIB-PET-derived beta-amyloid signature predicts metabolic, gray matter, and cognitive changes in nondemented subjects.

Authors:  Michael Ewers; Philip Insel; William J Jagust; Leslie Shaw; John Q Trojanowski; Paul Aisen; Ronald C Petersen; Norbert Schuff; Michael W Weiner
Journal:  Cereb Cortex       Date:  2011-10-29       Impact factor: 5.357

7.  Medial temporal lobe white matter pathway variability is associated with individual differences in episodic memory in cognitively normal older adults.

Authors:  Kylie H Alm; Andreia V Faria; Abhay Moghekar; Corinne Pettigrew; Anja Soldan; Susumu Mori; Marilyn Albert; Arnold Bakker
Journal:  Neurobiol Aging       Date:  2019-11-21       Impact factor: 4.673

Review 8.  A Conceptualization of the Utility of Subjective Cognitive Decline in Clinical Trials of Preclinical Alzheimer's Disease.

Authors:  Rachel F Buckley; Victor L Villemagne; Colin L Masters; Kathryn A Ellis; Christopher C Rowe; Keith Johnson; Reisa Sperling; Rebecca Amariglio
Journal:  J Mol Neurosci       Date:  2016-08-11       Impact factor: 3.444

Review 9.  Cerebrospinal fluid biomarkers of Alzheimer's disease in healthy elderly.

Authors:  Catherine Randall; Lisa Mosconi; Mony de Leon; Lidia Glodzik
Journal:  Front Biosci (Landmark Ed)       Date:  2013-06-01

Review 10.  A window into the heterogeneity of human cerebrospinal fluid Aβ peptides.

Authors:  Roberta Ghidoni; Anna Paterlini; Valentina Albertini; Elena Stoppani; Giuliano Binetti; Kjell Fuxe; Luisa Benussi; Luigi F Agnati
Journal:  J Biomed Biotechnol       Date:  2011-08-23
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