Cargando…

Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years

Blood-based biomarkers could prove useful to predict Alzheimer’s disease core pathologies in advance of clinical symptoms. Implementation of such biomarkers requires a solid understanding of their long-term dynamics and the contribution of confounding to their association with Alzheimer’s disease pa...

Descripción completa

Detalles Bibliográficos
Autores principales: den Braber, Anouk, Verberk, Inge M W, Tomassen, Jori, den Dulk, Ben, Stoops, Erik, Dage, Jeffrey L, Collij, Lyduine E, Barkhof, Frederik, Willemsen, Gonneke, Nivard, Michel G, van Berckel, Bart N M, Scheltens, Philip, Visser, Pieter Jelle, de Geus, Eco J C, Teunissen, Charlotte E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942541/
https://www.ncbi.nlm.nih.gov/pubmed/36824390
http://dx.doi.org/10.1093/braincomms/fcad024
_version_ 1784891521351286784
author den Braber, Anouk
Verberk, Inge M W
Tomassen, Jori
den Dulk, Ben
Stoops, Erik
Dage, Jeffrey L
Collij, Lyduine E
Barkhof, Frederik
Willemsen, Gonneke
Nivard, Michel G
van Berckel, Bart N M
Scheltens, Philip
Visser, Pieter Jelle
de Geus, Eco J C
Teunissen, Charlotte E
author_facet den Braber, Anouk
Verberk, Inge M W
Tomassen, Jori
den Dulk, Ben
Stoops, Erik
Dage, Jeffrey L
Collij, Lyduine E
Barkhof, Frederik
Willemsen, Gonneke
Nivard, Michel G
van Berckel, Bart N M
Scheltens, Philip
Visser, Pieter Jelle
de Geus, Eco J C
Teunissen, Charlotte E
author_sort den Braber, Anouk
collection PubMed
description Blood-based biomarkers could prove useful to predict Alzheimer’s disease core pathologies in advance of clinical symptoms. Implementation of such biomarkers requires a solid understanding of their long-term dynamics and the contribution of confounding to their association with Alzheimer’s disease pathology. Here we assess the value of plasma amyloid-β(1-42/1-40), phosphorylated-tau181 and glial fibrillary acidic protein to detect early Alzheimer’s disease pathology, accounting for confounding by genetic and early environmental factors. Participants were 200 monozygotic twins, aged ≥60 years with normal cognition from the european medical information framework for Alzheimer's disease study. All twins had amyloid-β status and plasma samples available at study enrolment. For 80 twins, additional plasma samples were available that had been collected approximately 10 years prior to amyloid-β status assessment. Single-molecule array assays were applied to measure amyloid-β(1-42/1-40), phosphorylated-tau181 and glial fibrillary acidic protein. Predictive value of and longitudinal change in these biomarkers were assessed using receiver operating characteristic curve analysis and linear mixed models. Amyloid pathology could be predicted using blood-based biomarkers obtained at the time of amyloid status assessment (amyloid-β(1-42/1-40): area under the curve = 0.65, P = 0.01; phosphorylated-tau181: area under the curve = 0.84, P < 0.001; glial fibrillary acidic protein: area under the curve = 0.74, P < 0.001), as well as using those obtained 10 years prior to amyloid status assessment (amyloid-β(1-42/1-40): area under the curve = 0.69, P = 0.03; phosphorylated-tau181: area under the curve = 0.92, P < 0.001; glial fibrillary acidic protein: area under the curve = 0.84, P < 0.001). Longitudinally, amyloid-β(1-42/1-40) levels decreased [β (SE) = −0.12 (0.01), P < 0.001] and phosphorylated-tau181 levels increased [β (SE) = 0.02 (0.01), P = 0.004]. Amyloid-β-positive individuals showed a steeper increase in phosphorylated-tau181 compared with amyloid-β-negative individuals [β (SE) = 0.06 (0.02), P = 0.004]. Also amyloid-β-positive individuals tended to show a steeper increase in glial fibrillary acidic protein [β (SE) = 0.04 (0.02), P = 0.07]. Within monozygotic twin pairs, those with higher plasma phosphorylated-tau181 and lower amyloid-β(1-42/1-40) levels were more likely to be amyloid-β positive [β (SE) = 0.95 (0.26), P < 0.001; β (SE) = −0.28 (0.14), P < 0.05] indicating minimal contribution of confounding by genetic and early environmental factors. Our data support the use of amyloid-β(1-42/1-40), phosphorylated-tau181 and glial fibrillary acidic protein as screening tools for Alzheimer’s disease pathology in the normal aging population, which is of importance for enrolment of high-risk subjects in secondary, or even primary, prevention trials. Furthermore, these markers show potential as low-invasive monitoring tool of disease progression and possibly treatment effects in clinical trials.
format Online
Article
Text
id pubmed-9942541
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-99425412023-02-22 Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years den Braber, Anouk Verberk, Inge M W Tomassen, Jori den Dulk, Ben Stoops, Erik Dage, Jeffrey L Collij, Lyduine E Barkhof, Frederik Willemsen, Gonneke Nivard, Michel G van Berckel, Bart N M Scheltens, Philip Visser, Pieter Jelle de Geus, Eco J C Teunissen, Charlotte E Brain Commun Original Article Blood-based biomarkers could prove useful to predict Alzheimer’s disease core pathologies in advance of clinical symptoms. Implementation of such biomarkers requires a solid understanding of their long-term dynamics and the contribution of confounding to their association with Alzheimer’s disease pathology. Here we assess the value of plasma amyloid-β(1-42/1-40), phosphorylated-tau181 and glial fibrillary acidic protein to detect early Alzheimer’s disease pathology, accounting for confounding by genetic and early environmental factors. Participants were 200 monozygotic twins, aged ≥60 years with normal cognition from the european medical information framework for Alzheimer's disease study. All twins had amyloid-β status and plasma samples available at study enrolment. For 80 twins, additional plasma samples were available that had been collected approximately 10 years prior to amyloid-β status assessment. Single-molecule array assays were applied to measure amyloid-β(1-42/1-40), phosphorylated-tau181 and glial fibrillary acidic protein. Predictive value of and longitudinal change in these biomarkers were assessed using receiver operating characteristic curve analysis and linear mixed models. Amyloid pathology could be predicted using blood-based biomarkers obtained at the time of amyloid status assessment (amyloid-β(1-42/1-40): area under the curve = 0.65, P = 0.01; phosphorylated-tau181: area under the curve = 0.84, P < 0.001; glial fibrillary acidic protein: area under the curve = 0.74, P < 0.001), as well as using those obtained 10 years prior to amyloid status assessment (amyloid-β(1-42/1-40): area under the curve = 0.69, P = 0.03; phosphorylated-tau181: area under the curve = 0.92, P < 0.001; glial fibrillary acidic protein: area under the curve = 0.84, P < 0.001). Longitudinally, amyloid-β(1-42/1-40) levels decreased [β (SE) = −0.12 (0.01), P < 0.001] and phosphorylated-tau181 levels increased [β (SE) = 0.02 (0.01), P = 0.004]. Amyloid-β-positive individuals showed a steeper increase in phosphorylated-tau181 compared with amyloid-β-negative individuals [β (SE) = 0.06 (0.02), P = 0.004]. Also amyloid-β-positive individuals tended to show a steeper increase in glial fibrillary acidic protein [β (SE) = 0.04 (0.02), P = 0.07]. Within monozygotic twin pairs, those with higher plasma phosphorylated-tau181 and lower amyloid-β(1-42/1-40) levels were more likely to be amyloid-β positive [β (SE) = 0.95 (0.26), P < 0.001; β (SE) = −0.28 (0.14), P < 0.05] indicating minimal contribution of confounding by genetic and early environmental factors. Our data support the use of amyloid-β(1-42/1-40), phosphorylated-tau181 and glial fibrillary acidic protein as screening tools for Alzheimer’s disease pathology in the normal aging population, which is of importance for enrolment of high-risk subjects in secondary, or even primary, prevention trials. Furthermore, these markers show potential as low-invasive monitoring tool of disease progression and possibly treatment effects in clinical trials. Oxford University Press 2023-02-04 /pmc/articles/PMC9942541/ /pubmed/36824390 http://dx.doi.org/10.1093/braincomms/fcad024 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
den Braber, Anouk
Verberk, Inge M W
Tomassen, Jori
den Dulk, Ben
Stoops, Erik
Dage, Jeffrey L
Collij, Lyduine E
Barkhof, Frederik
Willemsen, Gonneke
Nivard, Michel G
van Berckel, Bart N M
Scheltens, Philip
Visser, Pieter Jelle
de Geus, Eco J C
Teunissen, Charlotte E
Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
title Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
title_full Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
title_fullStr Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
title_full_unstemmed Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
title_short Plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
title_sort plasma biomarkers predict amyloid pathology in cognitively normal monozygotic twins after 10 years
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942541/
https://www.ncbi.nlm.nih.gov/pubmed/36824390
http://dx.doi.org/10.1093/braincomms/fcad024
work_keys_str_mv AT denbraberanouk plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT verberkingemw plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT tomassenjori plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT dendulkben plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT stoopserik plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT dagejeffreyl plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT collijlyduinee plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT barkhoffrederik plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT willemsengonneke plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT nivardmichelg plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT vanberckelbartnm plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT scheltensphilip plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT visserpieterjelle plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT degeusecojc plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years
AT teunissencharlottee plasmabiomarkerspredictamyloidpathologyincognitivelynormalmonozygotictwinsafter10years