296 Longitudinal measurement of serum NFL in early familial AD

2018 ◽  
Vol 89 (10) ◽  
pp. A47.1-A47
Author(s):  
Weston Philip ◽  
Poole Teresa ◽  
Ryan Natalie ◽  
Liang Yuying ◽  
Mead Simon ◽  
...  

A blood-based biomarker able to track early neurodegeneration in Alzheimer’s disease would be valuable. Serum neurofilament-light (NfL) is elevated in familial Alzheimer’s disease (FAD) mutation carriers prior to symptom onset, but exactly how early NfL becomes abnormal and whether it can track change within individuals is uncertain.We recruited 18 symptomatic carriers of autosomal dominant FAD mutations, 19 presymptomatic carriers, and 11 non-carriers. Blood was taken at baseline, and 26 participants also gave at least one follow-up sample (mean interval=2.5 years). Serum NfL was measured on the SIMOA platform. A longitudinal mixed effects framework was used to model change in NfL over time.Serum NfL was increased (p<0.05) in mutation carriers compared with non-carriers 11 years before the estimated time of symptom onset, with rate of change in NfL becoming significantly different 12 years before. However, there was high variability in the inter-individual rate of change in NfL between participants.Serum NfL concentration, and its rate of change, are sensitive, at the group level at least, to very early AD-neurodegenration. However, the high variability between individuals in NfL rate of change may make it difficult at present to use this measure to track early change in individual patients.

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Lisa Vermunt ◽  
Ellen Dicks ◽  
Guoqiao Wang ◽  
Aylin Dincer ◽  
Shaney Flores ◽  
...  

Abstract Structural grey matter covariance networks provide an individual quantification of morphological patterns in the brain. The network integrity is disrupted in sporadic Alzheimer’s disease, and network properties show associations with the level of amyloid pathology and cognitive decline. Therefore, these network properties might be disease progression markers. However, it remains unclear when and how grey matter network integrity changes with disease progression. We investigated these questions in autosomal dominant Alzheimer’s disease mutation carriers, whose conserved age at dementia onset allows individual staging based upon their estimated years to symptom onset. From the Dominantly Inherited Alzheimer Network observational cohort, we selected T1-weighted MRI scans from 269 mutation carriers and 170 non-carriers (mean age 38 ± 15 years, mean estimated years to symptom onset −9 ± 11), of whom 237 had longitudinal scans with a mean follow-up of 3.0 years. Single-subject grey matter networks were extracted, and we calculated for each individual the network properties which describe the network topology, including the size, clustering, path length and small worldness. We determined at which time point mutation carriers and non-carriers diverged for global and regional grey matter network metrics, both cross-sectionally and for rate of change over time. Based on cross-sectional data, the earliest difference was observed in normalized path length, which was decreased for mutation carriers in the precuneus area at 13 years and on a global level 12 years before estimated symptom onset. Based on longitudinal data, we found the earliest difference between groups on a global level 6 years before symptom onset, with a greater rate of decline of network size for mutation carriers. We further compared grey matter network small worldness with established biomarkers for Alzheimer disease (i.e. amyloid accumulation, cortical thickness, brain metabolism and cognitive function). We found that greater amyloid accumulation at baseline was associated with faster decline of small worldness over time, and decline in grey matter network measures over time was accompanied by decline in brain metabolism, cortical thinning and cognitive decline. In summary, network measures decline in autosomal dominant Alzheimer’s disease, which is alike sporadic Alzheimer’s disease, and the properties show decline over time prior to estimated symptom onset. These data suggest that single-subject networks properties obtained from structural MRI scans form an additional non-invasive tool for understanding the substrate of cognitive decline and measuring progression from preclinical to severe clinical stages of Alzheimer’s disease.


2019 ◽  
Vol 5 (2) ◽  
pp. 94-105 ◽  
Author(s):  
Ya-Nan Ou ◽  
Hao Hu ◽  
Zuo-Teng Wang ◽  
Wei Xu ◽  
Lan Tan ◽  
...  

Objective: To examine whether plasma neurofilament light (NFL) might be a potential longitudinal biomarker for Alzheimer’s disease (AD). Methods: A total of 835 individuals from the Alzheimer’s Disease Neuroimaging Initiative were involved. Correlations of the rate of change in plasma NFL with cerebrospinal fluid biomarkers, cognition, and brain structure were investigated. Cox proportional hazards models were used to assess the associations between quartiles of plasma NFL and the risk of AD conversion. Results: Participants were further divided into β amyloid-positive (Aβ+) versus β amyloid-negative (Aβ−), resulting in five biomarker group combinations, which are CN Aβ−, CN Aβ+, MCI Aβ−, MCI Aβ+ and AD Aβ+. Plasma NFL concentration markedly increased in the five groups longitudinally ( p < 0.001) with the greatest rate of change in AD Aβ+ group. The rate of change in plasma NFL was associated with cognitive deficits and neuroimaging hallmarks of AD over time ( p < 0.005). Compared with the bottom quartile, the top quartile of change rate was associated with a 5.41-fold increased risk of AD (95% CI = 1.83−16.01) in the multivariate model. Conclusion: Our finding implies the potential of plasma NFL as a longitudinal noninvasive biomarker in AD.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Philip S. J. Weston ◽  
Teresa Poole ◽  
Jennifer M. Nicholas ◽  
Nicolas Toussaint ◽  
Ivor J. A. Simpson ◽  
...  

Abstract Background There is increasing interest in improving understanding of the timing and nature of early neurodegeneration in Alzheimer’s disease (AD) and developing methods to measure this in vivo. Autosomal dominant familial Alzheimer’s disease (FAD) provides the opportunity for investigation of presymptomatic change. We assessed early microstructural breakdown of cortical grey matter in FAD with diffusion-weighted MRI. Methods Diffusion-weighted and T1-weighed MRI were acquired in 38 FAD mutation carriers (17 symptomatic, 21 presymptomatic) and 39 controls. Mean diffusivity (MD) was calculated for six cortical regions previously identified as being particularly vulnerable to FAD-related neurodegeneration. Linear regression compared MD between symptomatic and presymptomatic carriers and controls, adjusting for age and sex. Spearman coefficients assessed associations between cortical MD and cortical thickness. Spearman coefficients also assessed associations between cortical MD and estimated years to/from onset (EYO). Across mutation carriers, linear regression assessed associations between MD and EYO, adjusting for cortical thickness. Results Compared with controls, cortical MD was higher in symptomatic mutation carriers (mean ± SD CDR = 0.88 ± 0.39) for all six regions (p < 0.001). In late presymptomatic carriers (within 8.1 years of predicted symptom onset), MD was higher in the precuneus (p = 0.04) and inferior parietal cortex (p = 0.003) compared with controls. Across all presymptomatic carriers, MD in the precuneus correlated with EYO (p = 0.04). Across all mutation carriers, there was strong evidence (p < 0.001) of association between MD and cortical thickness in all regions except entorhinal cortex. After adjusting for cortical thickness, there remained an association (p < 0.05) in mutation carriers between MD and EYO in all regions except entorhinal cortex. Conclusions Cortical MD measurement detects microstructural breakdown in presymptomatic FAD and correlates with proximity to symptom onset independently of cortical thickness. Cortical MD may thus be a feasible biomarker of early AD-related neurodegeneration, offering additional/complementary information to conventional MRI measures.


Brain ◽  
2020 ◽  
Vol 143 (4) ◽  
pp. 1220-1232 ◽  
Author(s):  
Frank de Wolf ◽  
Mohsen Ghanbari ◽  
Silvan Licher ◽  
Kevin McRae-McKee ◽  
Luuk Gras ◽  
...  

Abstract CSF biomarkers, including total-tau, neurofilament light chain (NfL) and amyloid-β, are increasingly being used to define and stage Alzheimer’s disease. These biomarkers can be measured more quickly and less invasively in plasma and may provide important information for early diagnosis of Alzheimer’s disease. We used stored plasma samples and clinical data obtained from 4444 non-demented participants in the Rotterdam study at baseline (between 2002 and 2005) and during follow-up until January 2016. Plasma concentrations of total-tau, NfL, amyloid-β40 and amyloid-β42 were measured using the Simoa NF-light® and N3PA assays. Associations between biomarker plasma levels and incident all-cause and Alzheimer’s disease dementia during follow-up were assessed using Cox proportional-hazard regression models adjusted for age, sex, education, cardiovascular risk factors and APOE ε4 status. Moreover, biomarker plasma levels and rates of change over time of participants who developed Alzheimer’s disease dementia during follow-up were compared with age and sex-matched dementia-free control subjects. During up to 14 years follow-up, 549 participants developed dementia, including 374 cases with Alzheimer’s disease dementia. A log2 higher baseline amyloid-β42 plasma level was associated with a lower risk of developing all-cause or Alzheimer’s disease dementia, adjusted hazard ratio (HR) 0.61 [95% confidence interval (CI), 0.47–0.78; P &lt; 0.0001] and 0.59 (95% CI, 0.43–0.79; P = 0.0006), respectively. Conversely, a log2 higher baseline plasma NfL level was associated with a higher risk of all-cause dementia [adjusted HR 1.59 (95% CI, 1.38–1.83); P &lt; 0.0001] or Alzheimer’s disease [adjusted HR 1.50 (95% CI, 1.26–1.78); P &lt; 0.0001]. Combining the lowest quartile group of amyloid-β42 with the highest of NfL resulted in a stronger association with all-cause dementia [adjusted HR 9.5 (95% CI, 2.3–40.4); P &lt; 0.002] and with Alzheimer’s disease [adjusted HR 15.7 (95% CI, 2.1–117.4); P &lt; 0.0001], compared to the highest quartile group of amyloid-β42 and lowest of NfL. Total-tau and amyloid-β40 levels were not associated with all-cause or Alzheimer’s disease dementia risk. Trajectory analyses of biomarkers revealed that mean NfL plasma levels increased 3.4 times faster in participants who developed Alzheimer’s disease compared to those who remained dementia-free (P &lt; 0.0001), plasma values for cases diverged from controls 9.6 years before Alzheimer’s disease diagnosis. Amyloid-β42 levels began to decrease in Alzheimer’s disease cases a few years before diagnosis, although the decline did not reach significance compared to dementia-free participants. In conclusion, our study shows that low amyloid-β42 and high NfL plasma levels are each independently and in combination strongly associated with risk of all-cause and Alzheimer’s disease dementia. These data indicate that plasma NfL and amyloid-β42 levels can be used to assess the risk of developing dementia in a non-demented population. Plasma NfL levels, although not specific, may also be useful in monitoring progression of Alzheimer’s disease dementia.


2021 ◽  
Author(s):  
Sumali Bajaj ◽  
Christoforos Hadjichrysanthou ◽  
Kevin McRae-McKee ◽  
Frank De Wolf ◽  
Roy M. Anderson

Abstract INTRODUCTION: We assessed the association of plasma neurofilament light chain (pNfL) with cognitive decline and neuroimaging markers, and investigated its potential relationship with the clinical progression to dementia due to Alzheimer’s disease (AD).METHODS: Individuals had evidence of amyloid beta accumulation. Linear and beta-regression models were developed to consider: i) the association between pNfL and cognition, ii) the association between the rate of change (ROC) of pNfL and that of imaging markers, iii) the temporal dynamics of pNfL before and after cognitive impairment as assessed by the Clinical Dementia Rating.RESULTS: Higher levels of pNfL were associated with declining cognition. The ROC of pNfL was associated with the ROC of ventricular, hippocampal and whole brain volumes, but not with PET amyloid. pNfL levels did not reflect the clinical progression of AD.DISCUSSION: pNfL is associated with cognitive decline and brain imaging markers. However, it is not specific to AD clinical diagnosis.


2019 ◽  
Vol 7 (S3) ◽  
pp. S133-S133 ◽  
Author(s):  
Federico Massa ◽  
Riccardo Meli ◽  
Silvia Morbelli ◽  
Flavio Nobili ◽  
Matteo Pardini

2018 ◽  
Vol 15 (5) ◽  
pp. 474-481 ◽  
Author(s):  
Yuan-Han Yang ◽  
Meng-Ni Wu ◽  
Ping-Song Chou ◽  
Hui-Chen Su ◽  
Sheng-Hsiang Lin ◽  
...  

Background: The longitudinal change of neuropsychological tests (NPTs) in treated Alzheimer's disease (AD) is essential to understand the interplay of a therapeutic response from medication and a disease decline due to degenerative processes. The aim of our study is to investigate the annual cognitive progression as measured by commonly used NPTs in treated AD patients and to assess the potential predictors of disease progression. Methods: Participants (N=455) diagnosed with AD and treated with cholinesterase inhibitors (ChEIs) or memantine at memory clinics in three hospitals in southern Taiwan from January 2009 to December 2014 were enrolled in this prospectively registered study. The mean follow-up duration was 3.2 ± 0.9 years. The patients' severity of AD ranged from very mild (clinical dementia rating (CDR) scales = 0.5) to moderate (CDR = 2.0). At baseline and for each year, participants were assessed by various NPTs commonly used in clinical practice, including the Mini-Mental State Examination (MMSE), Cognitive Abilities Screening Instrument (CASI), CDR and CDR-sum of boxes (CDR-SB). All enrolled participants were assessed for at least two years during follow-up. We used mixed-effect models to examine annual progression in the whole group and to compare the cognitive progression between the subgroups with very mild AD and mild to moderate AD. Potential predictors of disease progression, including age, gender, the type of ChEI, and Apolipoprotein E (APOE) genotype, were also analyzed. Results: Among the study population, the rate of change in MMSE scores were -1.15 points per year, CASI scores were -4.27 points per year, and CDR-SB scores were 0.81 points per year. The slope of annual changes of NPTs differed significantly between the CDR 0.5 group and the CDR 1 to 2 group. The most significant predictors of the faster progression were increasing age and higher CDR stage at entry; however, different types of ChEI therapy (donepezil vs. rivastigmine users), and APOE genotype were not associated with the rate of disease progression. Conclusions: This longitudinal data shows the mean annual change of the MMSE, CASI, CDR, and CDR-SB in treated AD patients. The data may provide clinicians with information regarding to the cognitive decline rate in every year while their AD patients receive approved pharmacological therapy in real-world practice. Increasing age and severity of dementia when receiving therapy are the main factors that associated with faster deterioration.


2006 ◽  
Vol 14 (7S_Part_11) ◽  
pp. P623-P624
Author(s):  
Philip SJ. Weston ◽  
Teresa Poole ◽  
Natalie S. Ryan ◽  
Yuying Liang ◽  
Antoinette O'Connor ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Philip S. J. Weston ◽  
Teresa Poole ◽  
Antoinette O’Connor ◽  
Amanda Heslegrave ◽  
Natalie S. Ryan ◽  
...  

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