IC-04-02: SERUM NEUROFILAMENT LIGHT CHAIN LEVELS ARE ASSOCIATED WITH CORTICAL THICKNESS, BETA-AMYLOID BURDEN, AND CEREBRAL GLUCOSE METABOLISM IN AUTOSOMAL DOMINANT ALZHEIMER DISEASE

2006 ◽  
Vol 14 (7S_Part_1) ◽  
pp. P7-P8
Author(s):  
Stephanie A. Schultz ◽  
Anja Apel ◽  
Oliver Preische ◽  
Jens Kuhle ◽  
Brian A. Gordon ◽  
...  
Neurology ◽  
2021 ◽  
Author(s):  
Anna H. Boerwinkle ◽  
Julie K. Wisch ◽  
Charles D. Chen ◽  
Brian A. Gordon ◽  
Omar Hameed Butt ◽  
...  

Objective:Temporal correlations between CSF and neuroimaging (PET and MRI) measures of amyloid, tau, and neurodegeneration were evaluated in relation to Alzheimer disease (AD) progression.Methods:Three hundred seventy-one cognitively unimpaired and impaired participants enrolled in longitudinal studies of AD had both CSF (amyloid-β42, phosphorylated tau181, total tau, and neurofilament light chain) and neuroimaging (PiB PET, flortaucipir PET, and structural MRI) measures. The pairwise time interval between CSF and neuroimaging measures was binned into two year periods. Spearman correlations identified the time bin when CSF and neuroimaging measures most strongly correlated. CSF and neuroimaging measures were then binarized as biomarker-positive or biomarker-negative using Gaussian mixture modelling. Cohen’s kappa coefficient identified the time bin when CSF measures best agreed with corresponding neuroimaging measures when determining amyloid, tau, and neurodegeneration biomarker positivity.Results:CSF amyloid-β42 and PiB PET showed maximal correlation when collected within six years of each other (R ≈ -0.5). CSF phosphorylated tau181 and flortaucipir PET showed maximal correlation when CSF was collected four to eight years prior to PET (R ≈ 0.4). CSF neurofilament light chain and cortical thickness showed low correlation, regardless of time interval (Ravg ≈ -0.3). Similarly, CSF total tau and cortical thickness had low correlation, regardless of time interval (Ravg < -0.2).Conclusions:CSF amyloid-β42 and PiB PET best agree when acquired in close temporal proximity, whereas CSF phosphorylated tau precedes flortaucipir PET by four to eight years. CSF and neuroimaging measures of neurodegeneration have low correspondence and are not interchangeable at any time interval.


2020 ◽  
Vol 16 (S2) ◽  
Author(s):  
Muriah D. Wheelock ◽  
Jeremy F. Strain ◽  
Beau M. Ances ◽  
Oliver Preische ◽  
John C. Morris ◽  
...  

2006 ◽  
Vol 14 (7S_Part_22) ◽  
pp. P1170-P1170 ◽  
Author(s):  
Oliver Preische ◽  
Stephanie A. Schultz ◽  
Anja Apel ◽  
Jens Kuhle ◽  
Brian A. Gordon ◽  
...  

2021 ◽  
Author(s):  
Alexis Moscoso ◽  
Michel J. Grothe ◽  
Nicholas J. Ashton ◽  
Thomas K. Karikari ◽  
Juan Lantero Rodríguez ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Nuole Zhu ◽  
Miguel Santos-Santos ◽  
Ignacio Illán-Gala ◽  
Victor Montal ◽  
Teresa Estellés ◽  
...  

Abstract Background Astrocytes play an essential role in neuroinflammation and are involved in the pathogenesis of neurodenegerative diseases. Studies of glial fibrillary acidic protein (GFAP), an astrocytic damage marker, may help advance our understanding of different neurodegenerative diseases. In this study, we investigated the diagnostic performance of plasma GFAP (pGFAP), plasma neurofilament light chain (pNfL) and their combination for frontotemporal dementia (FTD) and Alzheimer’s disease (AD) and their clinical utility in predicting disease progression. Methods pGFAP and pNfL concentrations were measured in 72 FTD, 56 AD and 83 cognitively normal (CN) participants using the Single Molecule Array technology. Of the 211 participants, 199 underwent cerebrospinal (CSF) analysis and 122 had magnetic resonance imaging. We compared cross-sectional biomarker levels between groups, studied their diagnostic performance and assessed correlation between CSF biomarkers, cognitive performance and cortical thickness. The prognostic performance was investigated, analyzing cognitive decline  through group comparisons by tertile. Results Unlike pNfL, which was increased similarly in both clinical groups, pGFAP was increased in FTD but lower than in AD (all P < 0.01). Combination of both plasma markers improved the diagnostic performance to discriminate FTD from AD (area under the curve [AUC]: combination 0.78; pGFAP 0.7; pNfL 0.61, all P < 0.05). In FTD, pGFAP correlated with cognition, CSF and plasma NfL, and cortical thickness (all P < 0.05). The higher tertile of pGFAP was associated with greater change in MMSE score and poor cognitive outcome during follow-up both in FTD (1.40 points annually, hazard ratio [HR] 3.82, P < 0.005) and in AD (1.20 points annually, HR 2.26, P < 0.005). Conclusions pGFAP and pNfL levels differ in FTD and AD, and their combination is useful for distinguishing between the two diseases. pGFAP could also be used to track disease severity and predict greater cognitive decline during follow-up in patients with FTD.


2022 ◽  
Vol 14 (1) ◽  
Author(s):  
Eun-Hye Lee ◽  
Hyuk Sung Kwon ◽  
Seong-Ho Koh ◽  
Seong Hye Choi ◽  
Jeong-Hwa Jin ◽  
...  

Abstract Background Neurofilament light chain (NFL) level has been suggested as a blood-based biomarker for neurodegeneration in dementia. However, the association between baseline NFL levels and cognitive stage transition or cortical thickness is unclear. This study aimed to investigate whether baseline NFL levels are associated with cognitive stage transition or cortical thickness in mild cognitive impairment (MCI) and cognitively unimpaired (CU) participants. Methods This study analyzed data on participants from the independent validation cohort of the Korea Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s disease (KBASE-V) study. Among the participants of KBASE-V study, 53 MCI and 146 CU participants who were followed up for ≥ 2 years and had data on the serum NFL levels were eligible for inclusion in this study. Participants were classified into three groups according to baseline serum NFL levels of low, middle, or high. Results The Kaplan–Meier analysis showed association between the serum NFL tertiles and risk of cognitive stage transition in MCI (P = 0.002) and CU (P = 0.028) participants, analyzed separately. The same is true upon analysis of MCI and CU participants together (P < 0.001). In MCI participants, the highest serum NFL tertile and amyloid-beta positivity were independent predictors for cognitive stage transition after adjusting for covariates. For CU participants, only amyloid-beta positivity was identified to be an independent predictor. Conclusion The study shows that higher serum NFL tertile levels correlate with increased risk of cognitive stage transition in both MCI and CU participants. Serum NFL levels were negatively correlated with the mean cortical thickness of the whole-brain and specific brain regions.


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