001     271866
005     20250127091722.0
024 7 _ |a pmc:PMC11350048
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024 7 _ |a 10.1002/alz.13909
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024 7 _ |a pmid:38940303
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024 7 _ |a 1552-5260
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024 7 _ |a 1552-5279
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024 7 _ |a altmetric:165139386
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037 _ _ |a DZNE-2024-01078
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Vogelgsang, Jonathan
|0 0000-0001-9326-8193
|b 0
245 _ _ |a Plasma amyloid beta X-42/X-40 ratio and cognitive decline in suspected early and preclinical Alzheimer's disease.
260 _ _ |a Hoboken, NJ
|c 2024
|b Wiley
336 7 _ |a article
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336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a Blood-based biomarkers are a cost-effective and minimally invasive method for diagnosing the early and preclinical stages of amyloid positivity (AP). Our study aims to investigate our novel immunoprecipitation-immunoassay (IP-IA) as a test for predicting cognitive decline.We measured levels of amyloid beta (Aβ)X-40 and AβX-42 in immunoprecipitated eluates from the DELCODE cohort. Receiver-operating characteristic (ROC) curves, regression analyses, and Cox proportional hazard regression models were constructed to predict AP by Aβ42/40 classification in cerebrospinal fluid (CSF) and conversion to mild cognitive impairment (MCI) or dementia.We detected a significant correlation between AßX-42/X-40 in plasma and CSF (r = 0.473). Mixed-modeling analysis revealed a substantial prediction of AßX-42/X-40 with an area under the curve (AUC) of 0.81 for AP (sensitivity: 0.79, specificity: 0.74, positive predictive value [PPV]: 0.71, negative predictive value [NPV]: 0.81). In addition, lower AβX-42/X-40 ratios were associated with negative PACC5 slopes, suggesting cognitive decline.Our results suggest that assessing the plasma AβX-42/X-40 ratio via our semiautomated IP-IA is a promising biomarker when examining patients with early or preclinical AD.New plasma Aβ42/Aβ40 measurement using immunoprecipitation-immunoassay Plasma Aβ42/Aβ40 associated with longitudinal cognitive decline Promising biomarker to detect subjective cognitive decline at-risk for brain amyloid positivity.
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650 _ 7 |a Alzheimer's disease
|2 Other
650 _ 7 |a MCI
|2 Other
650 _ 7 |a amyloid beta
|2 Other
650 _ 7 |a biomarker
|2 Other
650 _ 7 |a dementia
|2 Other
650 _ 7 |a plasma
|2 Other
650 _ 7 |a Amyloid beta-Peptides
|2 NLM Chemicals
650 _ 7 |a Biomarkers
|2 NLM Chemicals
650 _ 7 |a Peptide Fragments
|2 NLM Chemicals
650 _ 7 |a amyloid beta-protein (1-42)
|2 NLM Chemicals
650 _ 7 |a amyloid beta-protein (1-40)
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Amyloid beta-Peptides: blood
|2 MeSH
650 _ 2 |a Amyloid beta-Peptides: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Alzheimer Disease: blood
|2 MeSH
650 _ 2 |a Alzheimer Disease: diagnosis
|2 MeSH
650 _ 2 |a Alzheimer Disease: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Cognitive Dysfunction: blood
|2 MeSH
650 _ 2 |a Cognitive Dysfunction: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Cognitive Dysfunction: diagnosis
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Biomarkers: blood
|2 MeSH
650 _ 2 |a Biomarkers: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Peptide Fragments: blood
|2 MeSH
650 _ 2 |a Peptide Fragments: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a ROC Curve
|2 MeSH
650 _ 2 |a Immunoprecipitation
|2 MeSH
650 _ 2 |a Disease Progression
|2 MeSH
700 1 _ |a Hansen, Niels
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700 1 _ |a Wang, Xiao
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700 1 _ |a Spruth, Eike Jakob
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700 1 _ |a Perneczky, Robert
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700 1 _ |a Rauchmann, Boris Stephan
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700 1 _ |a Teipel, Stefan
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700 1 _ |a Kilimann, Ingo
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700 1 _ |a Goerss, Doreen
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700 1 _ |a Laske, Christoph
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700 1 _ |a Munk, Matthias
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700 1 _ |a Sanzenbacher, Carolin
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700 1 _ |a Spottke, Annika
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700 1 _ |a Roy-Kluth, Nina
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700 1 _ |a Heneka, Michael
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700 1 _ |a Brosseron, Frederic
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700 1 _ |a Ramirez, Alfredo
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700 1 _ |a Wiltfang, Jens
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773 _ _ |a 10.1002/alz.13909
|g Vol. 20, no. 8, p. 5132 - 5142
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