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Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease

BACKGROUND: We investigated whether a panel of 12 potential novel biomarkers consisting of proteins involved in synapse functioning and immunity would be able to distinguish patients with Alzheimer’s disease (AD) and patients with mild cognitive impairment (MCI) from control subjects. METHODS: We in...

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Autores principales: Duits, Flora H., Brinkmalm, Gunnar, Teunissen, Charlotte E., Brinkmalm, Ann, Scheltens, Philip, Van der Flier, Wiesje M., Zetterberg, Henrik, Blennow, Kaj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389073/
https://www.ncbi.nlm.nih.gov/pubmed/29370833
http://dx.doi.org/10.1186/s13195-017-0335-x
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author Duits, Flora H.
Brinkmalm, Gunnar
Teunissen, Charlotte E.
Brinkmalm, Ann
Scheltens, Philip
Van der Flier, Wiesje M.
Zetterberg, Henrik
Blennow, Kaj
author_facet Duits, Flora H.
Brinkmalm, Gunnar
Teunissen, Charlotte E.
Brinkmalm, Ann
Scheltens, Philip
Van der Flier, Wiesje M.
Zetterberg, Henrik
Blennow, Kaj
author_sort Duits, Flora H.
collection PubMed
description BACKGROUND: We investigated whether a panel of 12 potential novel biomarkers consisting of proteins involved in synapse functioning and immunity would be able to distinguish patients with Alzheimer’s disease (AD) and patients with mild cognitive impairment (MCI) from control subjects. METHODS: We included 40 control subjects, 40 subjects with MCI, and 40 subjects with AD from the Amsterdam Dementia Cohort who were matched for age and sex (age 65 ± 5 years, 19 [48%] women). The mean follow-up of patients with MCI was 3 years. Two or three tryptic peptides per protein were analyzed in cerebrospinal fluid using parallel reaction monitoring mass spectrometry. Corresponding stable isotope-labeled peptides were added and used as reference peptides. Multilevel generalized estimating equations (GEEs) with peptides clustered per subject and per protein (as within-subject variables) were used to assess differences between diagnostic groups. To assess differential effects of individual proteins, we included the diagnosis × protein interaction in the model. Separate GEE analyses were performed to assess differences between stable patients and patients with progressive MCI (MCI-AD). RESULTS: There was a main effect for diagnosis (p < 0.01) and an interaction between diagnosis and protein (p < 0.01). Analysis stratified according to protein showed higher levels in patients with MCI for most proteins, especially in patients with MCI-AD. Chromogranin A, secretogranin II, neurexin 3, and neuropentraxin 1 showed the largest effect sizes; β values ranged from 0.53 to 0.78 for patients with MCI versus control subjects or patients with AD, and from 0.67 to 0.98 for patients with MCI-AD versus patients with stable MCI. In contrast, neurosecretory protein VGF was lower in patients with AD than in patients with MCI (ß = −0.93 [SE 0.22]) and control subjects (ß = 0.46 [SE 0.19]). CONCLUSIONS: Our results suggest that several proteins involved in vesicular transport and synaptic stability are elevated in patients with MCI, especially in patients with MCI progressing to AD dementia. This may reflect early events in the AD pathophysiological cascade. These proteins may be valuable as disease stage or prognostic markers in an early symptomatic stage of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-017-0335-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-63890732019-03-19 Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease Duits, Flora H. Brinkmalm, Gunnar Teunissen, Charlotte E. Brinkmalm, Ann Scheltens, Philip Van der Flier, Wiesje M. Zetterberg, Henrik Blennow, Kaj Alzheimers Res Ther Research BACKGROUND: We investigated whether a panel of 12 potential novel biomarkers consisting of proteins involved in synapse functioning and immunity would be able to distinguish patients with Alzheimer’s disease (AD) and patients with mild cognitive impairment (MCI) from control subjects. METHODS: We included 40 control subjects, 40 subjects with MCI, and 40 subjects with AD from the Amsterdam Dementia Cohort who were matched for age and sex (age 65 ± 5 years, 19 [48%] women). The mean follow-up of patients with MCI was 3 years. Two or three tryptic peptides per protein were analyzed in cerebrospinal fluid using parallel reaction monitoring mass spectrometry. Corresponding stable isotope-labeled peptides were added and used as reference peptides. Multilevel generalized estimating equations (GEEs) with peptides clustered per subject and per protein (as within-subject variables) were used to assess differences between diagnostic groups. To assess differential effects of individual proteins, we included the diagnosis × protein interaction in the model. Separate GEE analyses were performed to assess differences between stable patients and patients with progressive MCI (MCI-AD). RESULTS: There was a main effect for diagnosis (p < 0.01) and an interaction between diagnosis and protein (p < 0.01). Analysis stratified according to protein showed higher levels in patients with MCI for most proteins, especially in patients with MCI-AD. Chromogranin A, secretogranin II, neurexin 3, and neuropentraxin 1 showed the largest effect sizes; β values ranged from 0.53 to 0.78 for patients with MCI versus control subjects or patients with AD, and from 0.67 to 0.98 for patients with MCI-AD versus patients with stable MCI. In contrast, neurosecretory protein VGF was lower in patients with AD than in patients with MCI (ß = −0.93 [SE 0.22]) and control subjects (ß = 0.46 [SE 0.19]). CONCLUSIONS: Our results suggest that several proteins involved in vesicular transport and synaptic stability are elevated in patients with MCI, especially in patients with MCI progressing to AD dementia. This may reflect early events in the AD pathophysiological cascade. These proteins may be valuable as disease stage or prognostic markers in an early symptomatic stage of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-017-0335-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-15 /pmc/articles/PMC6389073/ /pubmed/29370833 http://dx.doi.org/10.1186/s13195-017-0335-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Duits, Flora H.
Brinkmalm, Gunnar
Teunissen, Charlotte E.
Brinkmalm, Ann
Scheltens, Philip
Van der Flier, Wiesje M.
Zetterberg, Henrik
Blennow, Kaj
Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
title Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
title_full Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
title_fullStr Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
title_full_unstemmed Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
title_short Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
title_sort synaptic proteins in csf as potential novel biomarkers for prognosis in prodromal alzheimer’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389073/
https://www.ncbi.nlm.nih.gov/pubmed/29370833
http://dx.doi.org/10.1186/s13195-017-0335-x
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