Association of CSF CD40 levels and synaptic degeneration across the Alzheimer’s disease spectrum

2019 ◽  
Vol 694 ◽  
pp. 41-45 ◽  
Author(s):  
Xinwu Ye ◽  
Wenjun Zhou ◽  
Jie Zhang
2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Khazar Ahmadi ◽  
Joana B. Pereira ◽  
David Berron ◽  
Jacob W. Vogel ◽  
Silvia Ingala ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Heng Zhang ◽  
Diyang Lyu ◽  
Jianping Jia ◽  

Background: Synaptic degeneration has been suggested as an early pathological event that strongly correlates with severity of dementia in Alzheimer’s disease (AD). However, changes in longitudinal cerebrospinal fluid (CSF) growth-associated protein 43 (GAP-43) as a synaptic biomarker in the AD continuum remain unclear. Objective: To assess the trajectory of CSF GAP-43 with AD progression and its association with other AD hallmarks. Methods: CSF GAP-43 was analyzed in 788 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), including 246 cognitively normal (CN) individuals, 415 individuals with mild cognitive impairment (MCI), and 127 with AD dementia based on cognitive assessments. The associations between a multimodal classification scheme with amyloid-β (Aβ), tau, and neurodegeneration, and changes in CSF GAP-43 over time were also analyzed. Results: CSF GAP-43 levels were increased at baseline in MCI and dementia patients, and increased significantly over time in the preclinical (Aβ-positive CN), prodromal (Aβ-positive MCI), and dementia (Aβ-positive dementia) stages of AD. Higher levels of CSF GAP-43 were also associated with higher CSF phosphorylated tau (p-tau) and total tau (t-tau), cerebral amyloid deposition and hypometabolism on positron emission tomography, the hippocampus and middle temporal atrophy, and cognitive performance deterioration at baseline and follow-up. Furthermore, CSF GAP-43 may assist in effectively predicting the probability of dementia onset at 2- or 4-year follow-up. Conclusion: CSF GAP-43 can be used as a potential biomarker associated with synaptic degeneration in subjects with AD; it may also be useful for tracking the disease progression and for monitoring the effects of clinical trials.


2006 ◽  
Vol 14 (7S_Part_2) ◽  
pp. P89-P89
Author(s):  
Sulantha Mathotaarachchi ◽  
Tharick A. Pascoal ◽  
Andrea Lessa Benedet ◽  
Min Su Kang ◽  
Mira Chamoun ◽  
...  

2021 ◽  
Vol 97 ◽  
pp. 1-9 ◽  
Author(s):  
Avinash Chandra ◽  
Chloe Farrell ◽  
Heather Wilson ◽  
George Dervenoulas ◽  
Edoardo Rosario De Natale ◽  
...  

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Patrick Oeckl ◽  
Steffen Halbgebauer ◽  
Sarah Straub ◽  
Christine von Arnim ◽  
Janine Diehl‐Schmid ◽  
...  

2018 ◽  
Vol 75 (3) ◽  
pp. 513-521 ◽  
Author(s):  
Suzanne C Segerstrom

Abstract Personality, especially the dimensions of neuroticism and conscientiousness, has prospectively predicted the risk of incident Alzheimer’s disease (AD). Such a relationship could be explained by personality and AD risk having a common cause such as a gene; by personality creating a predisposition for AD through health behavior or inflammation; by personality exerting a pathoplastic effect on the cognitive consequences of neuropathology; or by AD and personality change existing on a disease spectrum that begins up to decades before diagnosis. Using the 5-dimensional taxonomy of personality, the present review describes how these models might arise, the evidence for each, and how they might be distinguished from one another empirically. At present, the evidence is sparse but tends to suggest predisposition and/or pathoplastic relationships. Future studies using noninvasive assessment of neuropathology are needed to distinguish these 2 possibilities.


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