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Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status
OBJECTIVE: We assessed the performance of plasma amyloid oligomerization tendency (OAβ) as a marker for abnormal amyloid status. Additionally, we examined long-term storage effects on plasma OAβ. METHODS: We included 399 subjects regardless of clinical diagnosis from the Amsterdam Dementia Cohort an...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311929/ https://www.ncbi.nlm.nih.gov/pubmed/34311775 http://dx.doi.org/10.1186/s13195-021-00873-w |
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author | Babapour Mofrad, Rosha Scheltens, Philip Kim, SangYun Kang, Sungmin Youn, Young Chul An, Seong Soo A. Tomassen, Jori van Berckel, Bart N. M. Visser, Pieter Jelle van der Flier, Wiesje M. Teunissen, Charlotte E. |
author_facet | Babapour Mofrad, Rosha Scheltens, Philip Kim, SangYun Kang, Sungmin Youn, Young Chul An, Seong Soo A. Tomassen, Jori van Berckel, Bart N. M. Visser, Pieter Jelle van der Flier, Wiesje M. Teunissen, Charlotte E. |
author_sort | Babapour Mofrad, Rosha |
collection | PubMed |
description | OBJECTIVE: We assessed the performance of plasma amyloid oligomerization tendency (OAβ) as a marker for abnormal amyloid status. Additionally, we examined long-term storage effects on plasma OAβ. METHODS: We included 399 subjects regardless of clinical diagnosis from the Amsterdam Dementia Cohort and European Medical Information Framework for AD project (age, 63.8 ± 6.6; 44% female). Amyloid status was determined by visual read on positron emission tomography (PET; n(abnormal) = 206). Plasma OAβ was measured using the multimer detection system (MDS). Long-term storage effects on MDS-OAβ were assessed using general linear models. Associations between plasma MDS-OAβ and Aβ-PET status were assessed using logistic regression and receiver operating characteristics analyses. Correlations between plasma MDS-OAβ and CSF biomarker levels were evaluated using Pearson correlation analyses. RESULTS: MDS-OAβ was higher in individuals with abnormal amyloid, and it identified abnormal Aβ-PET with an area under the curve (AUC) of 0.74 (95% CI, 0.67–0.81), especially in samples with a storage duration < 4 years. Combining APOEe4 and age with plasma MDS-OAβ revealed an AUC of 81% for abnormal amyloid PET status (95% CI, 74–87%). Plasma MDS-OAβ correlated negatively with MMSE (r = − 0.29, p < .01) and CSF Aβ42 (r = − 0.20, p < 0.05) and positively with CSF Tau (r = 0.20, p = 0.01). CONCLUSIONS: Plasma MDS-OAβ combined with APOEe4 and age accurately identifies brain amyloidosis in a large Aβ-confirmed population. Using plasma MDS-OAβ as a screener reduced the costs and number of PET scans needed to screen for amyloidosis, which is relevant for clinical trials. Additionally, plasma MDS-OAβ levels appeared affected by long-term storage duration, which could be of interest for others measuring plasma Aβ biomarkers. |
format | Online Article Text |
id | pubmed-8311929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83119292021-07-28 Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status Babapour Mofrad, Rosha Scheltens, Philip Kim, SangYun Kang, Sungmin Youn, Young Chul An, Seong Soo A. Tomassen, Jori van Berckel, Bart N. M. Visser, Pieter Jelle van der Flier, Wiesje M. Teunissen, Charlotte E. Alzheimers Res Ther Research OBJECTIVE: We assessed the performance of plasma amyloid oligomerization tendency (OAβ) as a marker for abnormal amyloid status. Additionally, we examined long-term storage effects on plasma OAβ. METHODS: We included 399 subjects regardless of clinical diagnosis from the Amsterdam Dementia Cohort and European Medical Information Framework for AD project (age, 63.8 ± 6.6; 44% female). Amyloid status was determined by visual read on positron emission tomography (PET; n(abnormal) = 206). Plasma OAβ was measured using the multimer detection system (MDS). Long-term storage effects on MDS-OAβ were assessed using general linear models. Associations between plasma MDS-OAβ and Aβ-PET status were assessed using logistic regression and receiver operating characteristics analyses. Correlations between plasma MDS-OAβ and CSF biomarker levels were evaluated using Pearson correlation analyses. RESULTS: MDS-OAβ was higher in individuals with abnormal amyloid, and it identified abnormal Aβ-PET with an area under the curve (AUC) of 0.74 (95% CI, 0.67–0.81), especially in samples with a storage duration < 4 years. Combining APOEe4 and age with plasma MDS-OAβ revealed an AUC of 81% for abnormal amyloid PET status (95% CI, 74–87%). Plasma MDS-OAβ correlated negatively with MMSE (r = − 0.29, p < .01) and CSF Aβ42 (r = − 0.20, p < 0.05) and positively with CSF Tau (r = 0.20, p = 0.01). CONCLUSIONS: Plasma MDS-OAβ combined with APOEe4 and age accurately identifies brain amyloidosis in a large Aβ-confirmed population. Using plasma MDS-OAβ as a screener reduced the costs and number of PET scans needed to screen for amyloidosis, which is relevant for clinical trials. Additionally, plasma MDS-OAβ levels appeared affected by long-term storage duration, which could be of interest for others measuring plasma Aβ biomarkers. BioMed Central 2021-07-26 /pmc/articles/PMC8311929/ /pubmed/34311775 http://dx.doi.org/10.1186/s13195-021-00873-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Babapour Mofrad, Rosha Scheltens, Philip Kim, SangYun Kang, Sungmin Youn, Young Chul An, Seong Soo A. Tomassen, Jori van Berckel, Bart N. M. Visser, Pieter Jelle van der Flier, Wiesje M. Teunissen, Charlotte E. Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
title | Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
title_full | Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
title_fullStr | Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
title_full_unstemmed | Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
title_short | Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
title_sort | plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311929/ https://www.ncbi.nlm.nih.gov/pubmed/34311775 http://dx.doi.org/10.1186/s13195-021-00873-w |
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