scholarly journals Plasma tau, neurofilament light chain and amyloid-β levels and risk of dementia; a population-based cohort study

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 < 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 < 0.0001] or Alzheimer’s disease [adjusted HR 1.50 (95% CI, 1.26–1.78); P < 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 < 0.002] and with Alzheimer’s disease [adjusted HR 15.7 (95% CI, 2.1–117.4); P < 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 < 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.

2020 ◽  
Author(s):  
Bin Jiao ◽  
Hui Liu ◽  
Lina Guo ◽  
Xinxin Liao ◽  
Yafang Zhou ◽  
...  

Abstract BackgroundRobust studies have focused on blood-based biomarkers for diagnosis of Alzheimer’s disease (AD), while the results were still controversary and failed verified in different cohorts. The aim of this study was to detect the levels of plasma amyloid β (Aβ), total tau (t-tau), and neurofilament light chain (NfL) in patients with AD and cognitive normal (CN) subjects, and clarify their associations with Aβ, t-tau, and phosphorylated tau (p-tau) in cerebrospinal fluid (CSF) as well as brain amyloid PET, and calculate the diagnostic efficiency of these characteristics regarding AD.Methods Plasma Aβ42, Aβ40, t-tau and NfL levels were detected by single-molecule array (Simoa) in 379 AD patients and 153 CN subjects. Additionally, lumbar puncture was conducted in 125 AD patients to detect Aβ42, Aβ40, t-tau, and p-tau levels. Brain amyloid PET was performed in 52 AD patients to identify brain amyloid deposition levels. Correlation analysis were performed between plasma biomarkers and typical biomarkers of AD, including CSF core biomarkers and amyloid PET burden. Finally, the diagnostic value of plasma biomarkers was further assessed by receiver operating characteristic (ROC) curve.ResultsCompared with the CN group, plasma Aβ42 and Aβ42/Aβ40 levels were significantly lower in AD patients, while Aβ40, t-tau and NfL levels were higher in AD patients. Among the AD patients, plasma Aβ42 was positively correlated with CSF Aβ42 (r = 0.195, p = 0.03) and Aβ42/Aβ40 (r = 0.208, p = 0.04). Moreover, plasma NfL was positively correlated with age, disease course and severity. The diagnostic model with combined plasma Aβ42, t-tau, and NfL levels controlled for age and APOE genotype showed the best performance to identify AD (area under the curve (AUC) = 0.88, sensitivity = 82.84%, specificity = 81.69%, cutoff value = 0.64).ConclusionsTrends revealed by core biomarkers were generally consistent in AD patients’ plasma and CSF. Combining plasma biomarkers can provide comparatively high AD diagnostic performance.


2021 ◽  
Vol 13 ◽  
Author(s):  
Bin Jiao ◽  
Hui Liu ◽  
Lina Guo ◽  
Xinxin Liao ◽  
Yafang Zhou ◽  
...  

Background: Alzheimer's disease (AD) is the most common type of dementia and has no effective treatment to date. It is essential to develop a minimally invasive blood-based biomarker as a tool for screening the general population, but the efficacy remains controversial. This cross-sectional study aimed to evaluate the ability of plasma biomarkers, including amyloid β (Aβ), total tau (t-tau), and neurofilament light chain (NfL), to detect probable AD in the South Chinese population.Methods: A total of 277 patients with a clinical diagnosis of probable AD and 153 healthy controls with normal cognitive function (CN) were enrolled in this study. The levels of plasma Aβ42, Aβ40, t-tau, and NfL were detected using ultra-sensitive immune-based assays (SIMOA). Lumbar puncture was conducted in 89 patients with AD to detect Aβ42, Aβ40, t-tau, and phosphorylated (p)-tau levels in the cerebrospinal fluid (CSF) and to evaluate the consistency between plasma and CSF biomarkers through correlation analysis. Finally, the diagnostic value of plasma biomarkers was further assessed by constructing a receiver operating characteristic (ROC) curve.Results: After adjusting for age, sex, and the apolipoprotein E (APOE) alleles, compared to the CN group, the plasma t-tau, and NfL were significantly increased in the AD group (p < 0.01, Bonferroni correction). Correlation analysis showed that only the plasma t-tau level was positively correlated with the CSF t-tau levels (r = 0.319, p = 0.003). The diagnostic model combining plasma t-tau and NfL levels, and age, sex, and APOE alleles, showed the best performance for the identification of probable AD [area under the curve (AUC) = 0.89, sensitivity = 82.31%, specificity = 83.66%].Conclusion: Blood biomarkers can effectively distinguish patients with probable AD from controls and may be a non-invasive and efficient method for AD pre-screening.


Brain ◽  
2020 ◽  
Author(s):  
Joana B Pereira ◽  
Shorena Janelidze ◽  
Rik Ossenkoppele ◽  
Hlin Kvartsberg ◽  
Ann Brinkmalm ◽  
...  

Abstract It is currently unclear how amyloid-β and tau deposition are linked to changes in synaptic function and axonal structure over the course of Alzheimer’s disease. Here, we assessed these relationships by measuring presynaptic (synaptosomal-associated protein 25, SNAP25; growth-associated protein 43, GAP43), postsynaptic (neurogranin, NRGN) and axonal (neurofilament light chain) markers in the CSF of individuals with varying levels of amyloid-β and tau pathology based on 18F-flutemetamol PET and 18F-flortaucipir PET. In addition, we explored the relationships between synaptic and axonal markers with cognition as well as functional and anatomical brain connectivity markers derived from resting-state functional MRI and diffusion tensor imaging. We found that the presynaptic and postsynaptic markers SNAP25, GAP43 and NRGN are elevated in early Alzheimer’s disease i.e. in amyloid-β-positive individuals without evidence of tau pathology. These markers were associated with greater amyloid-β pathology, worse memory and functional changes in the default mode network. In contrast, neurofilament light chain was abnormal in later disease stages, i.e. in individuals with both amyloid-β and tau pathology, and correlated with more tau and worse global cognition. Altogether, these findings support the hypothesis that amyloid-β and tau might have differential downstream effects on synaptic and axonal function in a stage-dependent manner, with amyloid-related synaptic changes occurring first, followed by tau-related axonal degeneration.


2021 ◽  
Vol 10 (9) ◽  
pp. 1907
Author(s):  
James A. Hendrix ◽  
David C. Airey ◽  
Angela Britton ◽  
Anna D. Burke ◽  
George T. Capone ◽  
...  

With improved healthcare, the Down syndrome (DS) population is both growing and aging rapidly. However, with longevity comes a very high risk of Alzheimer’s disease (AD). The LIFE-DSR study (NCT04149197) is a longitudinal natural history study recruiting 270 adults with DS over the age of 25. The study is designed to characterize trajectories of change in DS-associated AD (DS-AD). The current study reports its cross-sectional analysis of the first 90 subjects enrolled. Plasma biomarkers phosphorylated tau protein (p-tau), neurofilament light chain (NfL), amyloid β peptides (Aβ1-40, Aβ1-42), and glial fibrillary acidic protein (GFAP) were undertaken with previously published methods. The clinical data from the baseline visit include demographics as well as the cognitive measures under the Severe Impairment Battery (SIB) and Down Syndrome Mental Status Examination (DS-MSE). Biomarker distributions are described with strong statistical associations observed with participant age. The biomarker data contributes to understanding DS-AD across the spectrum of disease. Collectively, the biomarker data show evidence of DS-AD progression beginning at approximately 40 years of age. Exploring these data across the full LIFE-DSR longitudinal study population will be an important resource in understanding the onset, progression, and clinical profiles of DS-AD pathophysiology.


2021 ◽  
Author(s):  
Hoau-Yan Wang ◽  
Zhe Pei ◽  
Kuo-Chieh Lee ◽  
Yaneicy Gonzalez Rojas ◽  
Tamara Doehner ◽  
...  

Abstract BACKGROUND Simufilam is a first-in-class drug candidate targeting altered filamin A, a proteopathy in Alzheimer’s disease. The primary objective of this Phase 2 clinical trial was to evaluate the effects of simufilam on cerebrospinal fluid (CSF) biomarkers in Alzheimer’s disease patients. A secondary objective was to assess cognitive enhancement. METHODS In a randomized, placebo-controlled trial conducted across 9 clinical sites in the US, 64 mild-to-moderate Alzheimer’s disease patients were randomized to simufilam 50 or 100 mg b.i.d. or placebo for 28 days. Clinical diagnosis was confirmed by CSF total tau/amyloid-beta1 − 42 (Aβ42) > 0.28. Co-primary endpoints were changes in CSF Aβ42, total tau, phospho-tau (P-tau181), neurogranin, neurofilament light chain, and YKL-40. Secondary endpoints included additional CSF biomarkers assessing neuroinflammation and blood brain barrier integrity, and tests of episodic and spatial working memory. RESULTS Adjusting for multiplicity of the six co-primary endpoints (p < 0.008 versus placebo required for significance), simufilam 50 and 100 mg significantly reduced CSF levels of total tau, hyperphosphorylated tau (P-tau181), neurogranin, neurofilament light chain and YKL-40. Simufilam 50 mg significantly increased CSF levels of Aβ42. On secondary CSF biomarker endpoints, both doses of simufilam significantly reduced IL-6, soluble TREM2 (triggering receptor expressed on myeloid cells-2), HMGB1 (high mobility group box-1), albumin and immunoglobulin G. All but one patient improved from baseline across biomarkers. Simufilam 50 and 100 mg showed effect sizes versus placebo (0.23–0.46) in change from baseline in episodic memory and spatial working memory. Episodic memory improvements correlated most strongly with decreases in P-tau181 (R2 = 0.48). Simufilam was safe and well tolerated. Target engagement was demonstrated by filamin A linkages to nicotinic acetylcholine receptor subtype α7 (α7nAChR) and toll-like receptor 4 (TLR4) in lymphocytes. CONCLUSIONS Simufilam was safe and well tolerated and significantly improved eleven CSF biomarkers in patients with Alzheimer’s disease, implying biological evidence of disease modification. Simufilam will be further evaluated in large, definitive clinical trials. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT04079803.


2021 ◽  
Author(s):  
Weina Yao ◽  
Xiao Zhang ◽  
Hui Zhao ◽  
Yun Xu ◽  
Feng Bai

Abstract Backgroud: Plasma neurofilament light chain (NFL) is a potential biomarker for neurodegenerative diseases. Both NFL and the interactions of core subsystem and frontoparietal network (FPN) are associated with the cognitive integrity. The present study was to investigate the underlying mechanism and application of plasmaNFL couplingcore-FPN in Alzheimer’s disease (AD). Methods: A total of 224 AD-spectrum participants with complete resting-state fMRI, neuropsychological tests and plasma NFL at baseline (n=112) and after approximately 17 months follow up (n=112) . Brain networks construction of core subsystem and FPN wereperformed in these subjects. The follow-up data were used to test and verify these baseline characteristics. Furthermore, Receiver Operating Characteristic analysiswas used to explore the classification by the association of plasma NFL and core-FPN, and the mediation analysis were appliedto investigate the significance of plasma NFL coupling networks on cognitive impairments in these subjects. Results: The discernment ofdisease-relatedinteractions of core subsystem and FPN maybe the neural network fundamentals of plasmaNFL regarding to cognitive decline in AD-spectrum patients. Furthermore, the clinical significance of plasma NFL coupling networks on AD identification and monitoring cognitive impairments were observed in these subjects. Conclusions: The characteristic change of plasma NFL coupling networks could expect to be used as an potential indicator of future targeted therapies and prevention strategies in AD patients.


2021 ◽  
Vol 10 (16) ◽  
pp. 3639
Author(s):  
Laia Montoliu-Gaya ◽  
Andre Strydom ◽  
Kaj Blennow ◽  
Henrik Zetterberg ◽  
Nicholas James Ashton

Epidemiological evidence suggests that by the age of 40 years, all individuals with Down syndrome (DS) have Alzheimer’s disease (AD) neuropathology. Clinical diagnosis of dementia by cognitive assessment is complex in these patients due to the pre-existing and varying intellectual disability, which may mask subtle declines in cognitive functioning. Cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers, although accurate, are expensive, invasive, and particularly challenging in such a vulnerable population. The advances in ultra-sensitive detection methods have highlighted blood biomarkers as a valuable and realistic tool for AD diagnosis. Studies with DS patients have proven the potential blood-based biomarkers for sporadic AD (amyloid-β, tau, phosphorylated tau, and neurofilament light chain) to be useful in this population. In addition, biomarkers related to other pathologies that could aggravate dementia progression—such as inflammatory dysregulation, energetic imbalance, or oxidative stress—have been explored. This review serves to provide a brief overview of the main findings from the limited neuroimaging and CSF studies, outline the current state of blood biomarkers to diagnose AD in patients with DS, discuss possible past limitations of the research, and suggest considerations for developing and validating blood-based biomarkers in the future.


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