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Differential effects of neurodegeneration biomarkers on subclinical cognitive decline

INTRODUCTION: Neurodegeneration appears to be the biological mechanism most proximate to cognitive decline in Alzheimer's disease. We test whether t-tau and alternative biomarkers of neurodegeneration—neurogranin and neurofilament light protein (NFL)—add value in predicting subclinical cognitiv...

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Autores principales: Merluzzi, Andrew P., Vogt, Nicholas M., Norton, Derek, Jonaitis, Erin, Clark, Lindsay R., Carlsson, Cynthia M., Johnson, Sterling C., Asthana, Sanjay, Blennow, Kaj, Zetterberg, Henrik, Bendlin, Barbara B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462765/
https://www.ncbi.nlm.nih.gov/pubmed/31011623
http://dx.doi.org/10.1016/j.trci.2019.02.004
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author Merluzzi, Andrew P.
Vogt, Nicholas M.
Norton, Derek
Jonaitis, Erin
Clark, Lindsay R.
Carlsson, Cynthia M.
Johnson, Sterling C.
Asthana, Sanjay
Blennow, Kaj
Zetterberg, Henrik
Bendlin, Barbara B.
author_facet Merluzzi, Andrew P.
Vogt, Nicholas M.
Norton, Derek
Jonaitis, Erin
Clark, Lindsay R.
Carlsson, Cynthia M.
Johnson, Sterling C.
Asthana, Sanjay
Blennow, Kaj
Zetterberg, Henrik
Bendlin, Barbara B.
author_sort Merluzzi, Andrew P.
collection PubMed
description INTRODUCTION: Neurodegeneration appears to be the biological mechanism most proximate to cognitive decline in Alzheimer's disease. We test whether t-tau and alternative biomarkers of neurodegeneration—neurogranin and neurofilament light protein (NFL)—add value in predicting subclinical cognitive decline. METHODS: One hundred fifty cognitively unimpaired participants received a lumbar puncture for cerebrospinal fluid and at least two neuropsychological examinations (mean age at first visit = 59.3 ± 6.3 years; 67% female). Linear mixed effects models were used with cognitive composite scores as outcomes. Neurodegeneration interactions terms were the primary predictors of interest: age × NFL or age × neurogranin or age × t-tau. Models were compared using likelihood ratio tests. RESULTS: Age × NFL accounted for a significant amount of variation in longitudinal change on preclinical Alzheimer's cognitive composite scores, memory composite scores, and learning scores, whereas age × neurogranin and age × t-tau did not. DISCUSSION: These data suggest that NFL may be more sensitive to subclinical cognitive decline compared to other proposed biomarkers for neurodegeneration.
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spelling pubmed-64627652019-04-22 Differential effects of neurodegeneration biomarkers on subclinical cognitive decline Merluzzi, Andrew P. Vogt, Nicholas M. Norton, Derek Jonaitis, Erin Clark, Lindsay R. Carlsson, Cynthia M. Johnson, Sterling C. Asthana, Sanjay Blennow, Kaj Zetterberg, Henrik Bendlin, Barbara B. Alzheimers Dement (N Y) Featured Article INTRODUCTION: Neurodegeneration appears to be the biological mechanism most proximate to cognitive decline in Alzheimer's disease. We test whether t-tau and alternative biomarkers of neurodegeneration—neurogranin and neurofilament light protein (NFL)—add value in predicting subclinical cognitive decline. METHODS: One hundred fifty cognitively unimpaired participants received a lumbar puncture for cerebrospinal fluid and at least two neuropsychological examinations (mean age at first visit = 59.3 ± 6.3 years; 67% female). Linear mixed effects models were used with cognitive composite scores as outcomes. Neurodegeneration interactions terms were the primary predictors of interest: age × NFL or age × neurogranin or age × t-tau. Models were compared using likelihood ratio tests. RESULTS: Age × NFL accounted for a significant amount of variation in longitudinal change on preclinical Alzheimer's cognitive composite scores, memory composite scores, and learning scores, whereas age × neurogranin and age × t-tau did not. DISCUSSION: These data suggest that NFL may be more sensitive to subclinical cognitive decline compared to other proposed biomarkers for neurodegeneration. Elsevier 2019-04-12 /pmc/articles/PMC6462765/ /pubmed/31011623 http://dx.doi.org/10.1016/j.trci.2019.02.004 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Featured Article
Merluzzi, Andrew P.
Vogt, Nicholas M.
Norton, Derek
Jonaitis, Erin
Clark, Lindsay R.
Carlsson, Cynthia M.
Johnson, Sterling C.
Asthana, Sanjay
Blennow, Kaj
Zetterberg, Henrik
Bendlin, Barbara B.
Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
title Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
title_full Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
title_fullStr Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
title_full_unstemmed Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
title_short Differential effects of neurodegeneration biomarkers on subclinical cognitive decline
title_sort differential effects of neurodegeneration biomarkers on subclinical cognitive decline
topic Featured Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462765/
https://www.ncbi.nlm.nih.gov/pubmed/31011623
http://dx.doi.org/10.1016/j.trci.2019.02.004
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