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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 |
Sumario: | 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. |
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