scholarly journals Faculty Opinions recommendation of Cerebrospinal fluid neurofilament light concentration predicts brain atrophy and cognition in Alzheimer's disease.

Author(s):  
Bala Subramaniam ◽  
Shilpa Narayanan ◽  
Akshay Shanker
2021 ◽  
Vol 11 (2) ◽  
pp. 215
Author(s):  
Donovan A. McGrowder ◽  
Fabian Miller ◽  
Kurt Vaz ◽  
Chukwuemeka Nwokocha ◽  
Cameil Wilson-Clarke ◽  
...  

Alzheimer’s disease is a progressive, clinically heterogeneous, and particularly complex neurodegenerative disease characterized by a decline in cognition. Over the last two decades, there has been significant growth in the investigation of cerebrospinal fluid (CSF) biomarkers for Alzheimer’s disease. This review presents current evidence from many clinical neurochemical studies, with findings that attest to the efficacy of existing core CSF biomarkers such as total tau, phosphorylated tau, and amyloid-β (Aβ42), which diagnose Alzheimer’s disease in the early and dementia stages of the disorder. The heterogeneity of the pathophysiology of the late-onset disease warrants the growth of the Alzheimer’s disease CSF biomarker toolbox; more biomarkers showing other aspects of the disease mechanism are needed. This review focuses on new biomarkers that track Alzheimer’s disease pathology, such as those that assess neuronal injury (VILIP-1 and neurofilament light), neuroinflammation (sTREM2, YKL-40, osteopontin, GFAP, progranulin, and MCP-1), synaptic dysfunction (SNAP-25 and GAP-43), vascular dysregulation (hFABP), as well as CSF α-synuclein levels and TDP-43 pathology. Some of these biomarkers are promising candidates as they are specific and predict future rates of cognitive decline. Findings from the combinations of subclasses of new Alzheimer’s disease biomarkers that improve their diagnostic efficacy in detecting associated pathological changes are also presented.


2003 ◽  
Vol 336 (3) ◽  
pp. 167-170 ◽  
Author(s):  
A. Petzold ◽  
R. Jenkins ◽  
H.C. Watt ◽  
A.J.E. Green ◽  
E.J. Thompson ◽  
...  

2016 ◽  
Vol 8 (10) ◽  
pp. 1184-1196 ◽  
Author(s):  
Niklas Mattsson ◽  
Philip S Insel ◽  
Sebastian Palmqvist ◽  
Erik Portelius ◽  
Henrik Zetterberg ◽  
...  

2011 ◽  
Vol 192 (3) ◽  
pp. 140-146 ◽  
Author(s):  
Cristina Solé-Padullés ◽  
Albert Lladó ◽  
David Bartrés-Faz ◽  
Juan Fortea ◽  
Raquel Sánchez-Valle ◽  
...  

SLEEP ◽  
2020 ◽  
Author(s):  
A Targa ◽  
F Dakterzada ◽  
I Benítez ◽  
R López ◽  
M Pujol ◽  
...  

Abstract Study Objectives The majority of studies investigating the association between sleep and Alzheimer’s disease (AD) biomarkers have been performed in healthy subjects. Our objective was to investigate the association between sleep and several biomarkers that reflect distinct aspects of AD physiopathology. Methods The cohort included 104 individuals with mild-moderate AD. The subjects were submitted to one-night polysomnography, and cerebrospinal fluid was collected in the following morning to measure the selected biomarkers associated with amyloid deposition, tau pathology, neurodegeneration, axonal damage, synaptic integrity, neuroinflammation, and oxidative damage. Results There was a positive correlation between neurofilament light (NF-L) and the time spent in N1 sleep and a negative correlation between this marker and the time spent in N3 sleep. Accordingly, we observed that deep sleep was associated with lower levels of NF-L, whereas light sleep increased the probability of having higher levels of this marker. Furthermore, chitinase 3-like 1 (YKL-40) was negatively correlated with sleep efficiency, the time spent in N2 sleep and the time spent in N3 sleep. Conversely, there was a positive correlation between N3 sleep and the oxidative protein damage markers N-ε-(carboxyethyl)lysine and N-ε-(malondialdehyde)lysine. Conclusions There were significant correlations between sleep parameters and AD biomarkers related to axonal damage and neuroinflammation, such as NF-L and YKL-40. A lack of deep sleep was associated with higher levels of NF-L. This highlights a potential role for NF-L as a biomarker of sleep disruption in mild-moderate AD patients in addition to its role in predicting neurodegeneration and cognitive decline.


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