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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6389073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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