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Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome
INTRODUCTION: We sought to determine if a proteomic profile approach developed to detect Alzheimer's disease (AD) in the general population would apply to adults with Down syndrome (DS). METHODS: Plasma samples were obtained from 398 members of a community‐based cohort of adults with DS. A tota...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233426/ https://www.ncbi.nlm.nih.gov/pubmed/32435687 http://dx.doi.org/10.1002/dad2.12023 |
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author | Petersen, Melissa Zhang, Fan Krinsky‐McHale, Sharon J. Silverman, Wayne Lee, Joseph H. Pang, Deborah Hall, James Schupf, Nicole O'Bryant, Sid E. |
author_facet | Petersen, Melissa Zhang, Fan Krinsky‐McHale, Sharon J. Silverman, Wayne Lee, Joseph H. Pang, Deborah Hall, James Schupf, Nicole O'Bryant, Sid E. |
author_sort | Petersen, Melissa |
collection | PubMed |
description | INTRODUCTION: We sought to determine if a proteomic profile approach developed to detect Alzheimer's disease (AD) in the general population would apply to adults with Down syndrome (DS). METHODS: Plasma samples were obtained from 398 members of a community‐based cohort of adults with DS. A total of n = 186 participants were determined to be non‐demented and without mild cognitive impairment (MCI) at baseline and throughout follow‐up; n = 50 had prevalent MCI; n = 42 had prevalent AD. RESULTS: The proteomic profile yielded an area under the curve (AUC) of 0.92, sensitivity (SN) = 0.80, and specificity (SP) = 0.98 detecting prevalent MCI. For detecting prevalent AD, the proteomic profile yielded an AUC of 0.89, SN = 0.81, and SP = 0.97. The overall profile closely resembled our previously published profile of AD in the general population. DISCUSSION: These data provide evidence of the applicability of our blood‐based algorithm for detecting MCI/AD among adults with DS. |
format | Online Article Text |
id | pubmed-7233426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72334262020-05-20 Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome Petersen, Melissa Zhang, Fan Krinsky‐McHale, Sharon J. Silverman, Wayne Lee, Joseph H. Pang, Deborah Hall, James Schupf, Nicole O'Bryant, Sid E. Alzheimers Dement (Amst) Article INTRODUCTION: We sought to determine if a proteomic profile approach developed to detect Alzheimer's disease (AD) in the general population would apply to adults with Down syndrome (DS). METHODS: Plasma samples were obtained from 398 members of a community‐based cohort of adults with DS. A total of n = 186 participants were determined to be non‐demented and without mild cognitive impairment (MCI) at baseline and throughout follow‐up; n = 50 had prevalent MCI; n = 42 had prevalent AD. RESULTS: The proteomic profile yielded an area under the curve (AUC) of 0.92, sensitivity (SN) = 0.80, and specificity (SP) = 0.98 detecting prevalent MCI. For detecting prevalent AD, the proteomic profile yielded an AUC of 0.89, SN = 0.81, and SP = 0.97. The overall profile closely resembled our previously published profile of AD in the general population. DISCUSSION: These data provide evidence of the applicability of our blood‐based algorithm for detecting MCI/AD among adults with DS. John Wiley and Sons Inc. 2020-04-17 /pmc/articles/PMC7233426/ /pubmed/32435687 http://dx.doi.org/10.1002/dad2.12023 Text en © 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. on behalf of the Alzheimer's Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Article Petersen, Melissa Zhang, Fan Krinsky‐McHale, Sharon J. Silverman, Wayne Lee, Joseph H. Pang, Deborah Hall, James Schupf, Nicole O'Bryant, Sid E. Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome |
title | Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome |
title_full | Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome |
title_fullStr | Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome |
title_full_unstemmed | Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome |
title_short | Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome |
title_sort | proteomic profiles of prevalent mild cognitive impairment and alzheimer's disease among adults with down syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233426/ https://www.ncbi.nlm.nih.gov/pubmed/32435687 http://dx.doi.org/10.1002/dad2.12023 |
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