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Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Article . 2021 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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UCL Discovery
Article . 2021
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Cerebrospinal fluid biomarker panel for synaptic dysfunction in Alzheimer's disease

Authors: Johan Svensson; Erik Portelius; Simon Sjödin; Ann Brinkmalm; Ann Brinkmalm; Per Johansson; Per Johansson; +8 Authors

Cerebrospinal fluid biomarker panel for synaptic dysfunction in Alzheimer's disease

Abstract

AbstractIntroductionSynaptic dysfunction and degeneration is one of the earliest events in Alzheimer's disease (AD) and the best correlate of cognitive decline. Thus, identification and validation of biomarkers reflecting synaptic degeneration to be used as prognostic biomarkers are greatly needed.MethodSolid‐phase extraction and parallel reaction monitoring mass spectrometry were used to quantify 17 synaptic proteins in CSF, in two cross‐sectional studies including AD (n = 52) and controls (n = 37).ResultsIncreased concentrations of beta‐synuclein, gamma‐synuclein, neurogranin, phosphatidylethanolamine‐binding protein 1, and 14‐3‐3 proteins were observed in AD patients compared to controls, while neuronal pentraxin‐2 and neuronal pentraxin receptor were decreased.DiscussionWe have established a method with a novel panel of synaptic proteins as biomarkers of synaptic dysfunction. The results indicate that several of the proteins included in the panel may serve as synaptic biomarkers for AD.

Keywords

synaptic pathology, Geriatrics, RC952-954.6, biomarkers, Neurology. Diseases of the nervous system, Cerebrospinal Fluid Biomarkers, Alzheimer's disease, RC346-429, mass spectrometry

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    44
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 1%
Top 10%
Top 1%
Green
Published in a Diamond OA journal