Associations of Alcohol Consumption with Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease Pathology in Cognitively Intact Older Adults: The CABLE Study

2021 ◽  
pp. 1-10
Author(s):  
Zuo-Teng Wang ◽  
Kun-Yan Li ◽  
Chen-Chen Tan ◽  
Wei Xu ◽  
Xue-Ning Shen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Alcohol Consumption ◽  
Amyloid Β ◽  
Tau Proteins ◽  
Regression Analyses ◽  
Cognitively Intact ◽  
Frequent Drinking

Background: The relationship between alcohol consumption and Alzheimer’s disease (AD) pathology is unclear. Amyloid-β (Aβ) and tau biomarkers in cerebrospinal fluid (CSF) have been proven valuable in establishing prognosis in pre-clinical AD. Objective: We sought to examine the associations between alcohol consumption and CSF AD biomarkers in cognitive intact subjects. Methods: A total of 806 cognitively intact participants who had measurements of CSF Aβ, pTau, and total Tau proteins and drinking characteristics were included from the Chinese Alzheimer’s Biomarker and Lifestyle (CABLE) study. Linear and logistic regression analyses were utilized to explore the associations of alcohol consumption with CSF AD biomarkers. We examined the interaction effects of age, gender, and apolipoprotein epsilon (APOE) ɛ4 status on the relationships between the frequency of drinking and CSF biomarkers. Results: The multiple linear regression analyses revealed significant differences in CSF AD biomarkers between infrequent drinking (<  1 times/week) and frequent drinking groups (≥1 times/week). Participants in frequent drinking group had higher CSF p-tau/Aβ 42 and tTau/Aβ42. Frequent drinking was significantly associated with greater pTau and tTau abnormalities compared to the infrequent drinking group in older (>  65 years) participants. Conclusion: The present study showed significant associations between drinking frequency and CSF AD biomarkers in cognitively intact older adults. Alcohol consumption may have an influence on AD by modulating amyloid deposition and tau phosphorylation in the preclinical stage.

Social Networks and Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease Pathology in Cognitively Intact Older Adults: The CABLE Study

2021 ◽  
pp. 1-10
Author(s):  
Ya-Hui Ma ◽  
Ya-Yu Wang ◽  
Lan Tan ◽  
Wei Xu ◽  
Xue-Ning Shen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Social Networks ◽  
Cerebrospinal Fluid ◽  
Amyloid Β ◽  
Cognitive Status ◽  
Tau Proteins ◽  
Preclinical Ad ◽  
T Tau ◽  
Cognitively Intact

Background: Although social networks are deemed as moderators of incident Alzheimer’s disease (AD), few data are available on the mechanism relevant to AD pathology. Objective: We aimed to investigate whether social networks affect metabolism of cerebrospinal fluid (CSF) AD biomarkers during early stage and identify modification effects of genetic factor and subjective cognitive decline (SCD). Methods: We studied participants from the Chinese Alzheimer’s disease Biomarker and Lifestyle (CABLE) database who received cognition assessments and CSF amyloid-β (Aβ 1–42 and Aβ 1–40) and tau proteins (total-tau [T-tau] and phosphorylated-tau [P-tau]) measurements. The social networks were measured using self-reported questionnaires about social ties. Linear regression models were used. Results: Data were analyzed from 886 cognitively intact individuals aged 61.91 years (SD = 10.51), including 295 preclinical AD participants and 591 healthy controls. Social networks were mostly associated with CSF indicators of AD multi-pathologies (low P-tau/Aβ 1–42 and T-tau/Aβ 1–42 and high Aβ 1–42/Aβ 1–40). Significant differences of genetic and cognitive status were observed for CSF indicators, in which associations of social network scores with CSF P-tau and indicators of multi-pathologies appeared stronger in APOE 4 carriers (versus non-carriers) and participants with SCD (versus controls), respectively. Alternatively, more pronounced associations for CSF T-tau (β= –0.005, p <  0.001), Aβ 1–42/Aβ 1–40 (β= 0.481, p = 0.001), and T-tau/Aβ 1–42 (β= –0.047, p <  0.001) were noted in preclinical AD stage than controls. Conclusion: These findings consolidated strong links between social networks and AD risks. Social networks as a modifiable lifestyle probably affected metabolisms of multiple AD pathologies, especially among at-risk populations.

scholarly journals The coupling of global brain activity and cerebrospinal fluid inflow is correlated with Alzheimer’s disease related pathology

2020 ◽  
Author(s):  
Feng Han ◽  
Jing Chen ◽  
Aaron Belkin-Rosen ◽  
Yameng Gu ◽  
Liying Luo ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Driving Forces ◽  
Brain Activity ◽  
Amyloid Β ◽  
Resting State Fmri ◽  
High Amplitude ◽  
Tau Proteins ◽  
Global Brain

AbstractThe glymphatic system plays an important role in clearing the amyloid-β and tau proteins that are closely linked to Alzheimer’s disease (AD) pathology. Glymphatic clearance, as well as amyloid-β accumulation, is highly dependent on sleep, but the sleep-dependent driving forces behind cerebrospinal fluid (CSF) movements essential to the glymphatic flux remain largely unclear. Recent studies have reported that widespread, high-amplitude spontaneous brain activations in the drowsy state and during sleep, which are shown as large global signal peaks in resting-state fMRI, is coupled with the CSF movements, suggesting their potential link to the glymphatic flux and metabolite clearance. By analyzing multimodal data from the Alzheimer’s Disease Neuroimaging Initiative project, here we showed that the coupling between the global fMRI signal and CSF influx is correlated with AD-related pathology, including various risk factors for AD, the severity of AD-related diseases, the cortical amyloid-β level, and the cognitive decline over a two-year follow-up. These results provide critical initial evidence for involvement of sleep-dependent global brain activity, as well as the associated physiological modulations, in the clearance of AD-related brain waste.

scholarly journals Cognitive Dispersion Is Not Associated with Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease: Results from the European Prevention of Alzheimer’s Dementia (EPAD) v500.0 Cohort

2020 ◽  
Vol 78 (1) ◽  
pp. 185-194
Author(s):  
Tam Watermeyer ◽  
Alejandra Marroig ◽  
Craig W. Ritchie ◽  
Karen Ritchie ◽  
Kaj Blennow ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Cognitive Aging ◽  
Amyloid Β ◽  
Cost Effective ◽  
Csf Levels ◽  
T Tau

Background: Cognitive dispersion, variation in performance across cognitive domains, is posited as a non-invasive and cost-effective marker of early neurodegeneration. Little work has explored associations between cognitive dispersion and Alzheimer’s disease (AD) biomarkers in healthy older adults. Even less is known about the influence or interaction of biomarkers reflecting brain pathophysiology or other risk factors on cognitive dispersion scores. Objective: The main aim of this study was to examine whether higher cognitive dispersion was associated with cerebrospinal fluid (CSF) levels of amyloid-β (Aβ42), total tau (t-tau), phosphorylated tau (p-tau), and amyloid positivity in a cohort of older adults at various severities of AD. A secondary aim was to explore which AD risk factors were associated with cognitive dispersion scores. Methods: Linear and logistic regression analyses explored the associations between dispersion and CSF levels of Aβ42, t-tau, and p-tau and amyloid positivity (Aβ42 < 1000 pg/ml). Relationships between sociodemographics, APOE ɛ4 status, family history of dementia, and levels of depression and dispersion were also assessed. Results: Dispersion did not emerge as associated with any of the analytes nor amyloid positivity. Older (β= –0.007, SE = 0.002, p = 0.001) and less educated (β= –0.009, SE = 0.003, p = 0.009) individuals showed greater dispersion. Conclusion: Dispersion was not associated with AD pathology, but was associated with age and years of education, highlighting individual differences in cognitive aging. The use of this metric as a screening tool for existing AD pathology is not supported by our analyses. Follow-up work will determine if dispersion scores can predict changes in biomarker levels and/or positivity status longitudinally.

Follow-up study on plasma and cerebrospinal fluid levels of B amyloids and tau proteins in patients with alzheimer's disease

2011 ◽  
Vol 26 (S2) ◽  
pp. 506-506
Author(s):  
Y. Fu ◽  
S. Xiao
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Amyloid Β ◽  
Tau Proteins ◽  
Enzyme Linked Immunosorbent Assay ◽  
Csf Levels ◽  
Severity Of Dementia ◽  
T Tau

AimsCompare baseline and 6-month follow-up plasma and cerebrospinal fluid (CSF) levels of amyloid β peptides 1–40 (Aβ1–40) and 1–42 (Aβ1–42), total tau protein (T-tau) and phosphorylated tau at threonine 231 (P-tau231) in patients with Alzheimer's disease (AD) and vascular dementia (VD).Methods21 patients with AD and 7 patients with VD based on the criteria of Diagnostic Statistical Manual 4th edition were assessed at baseline and 7 with AD and 6 with VD were re-assessed 6 months later. Assessments included the Mini-Mental State Exam (MMSE), the Global Deteriorate Scale (GDS), plasma and CSF levels of Aβ1–40 and Aβ1–42, and CSF levels of T-tau and P-tau231 (using a sandwich enzyme-linked immunosorbent assay).ResultsAt baseline there were significant differences between AD and VD patients in the mean CSF levels of T-tau (t=2.580, P=0.016), P-tau231 (t=4.014, P=0.000) and Aβ1–40 (t=2.766, P=0.010). At baseline in AD patients, duration of illness was negatively correlated with CSF P-tau231 levels (r=-0.485, P=0.026), MMSE scores (r=-0.565, P=0.008) and GDS scores (r=-0.482, P=0.027); and CSF Aβ1–42 levels were positively correlated to MMSE scores (r=0.565, P=0.008) and negatively correlated with GDS scores (r=-0.634, P=0.002). In the AD patients plasma Aβ1–40 levels increased significantly over the 6-month follow-up period (t=-2.735, P=0.041).ConclusionsPlasma Aβ1–40 levels increased significantly in AD patients after 6-months of follow-up, that means levels of plasma Aβ1–40 could imply the development of Alzheimer disease. Moreover, CSF P-tau231 and CSF Aβ1–42 levels are associated with the severity of dementia and cognitive impairment.

Differential Cued-Stroop Performance in Cognitively Asymptomatic Older Adults with Biomarker-Identified Risk for Alzheimer’s Disease: A Pilot Study

2018 ◽  
Vol 15 (9) ◽  
pp. 820-827 ◽  
Author(s):  
Ryan Van Patten ◽  
Anne M. Fagan ◽  
David A.S. Kaufman
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Stroop Task ◽  
Coefficient Of Variation ◽  
Reaction Times ◽  
Preclinical Alzheimer’S Disease ◽  
Cerebrospinal Fluid Biomarkers ◽  
Accuracy Rates

Background: There exists a need for more sensitive measures capable of detecting subtle cognitive decline due to Alzheimer's disease. Objective: To advance the literature in Alzheimer’s disease by demonstrating that performance on a cued-Stroop task is impacted by preclinical Alzheimer's disease neuropathology. Method: Twenty-nine cognitively asymptomatic older adults completed a computerized, cued-Stroop task in which accuracy rates and intraindividual variability in reaction times were the outcomes of interest. Cerebrospinal fluid biomarkers of Aβ42 and tau were measured and participants were then grouped according to a published p-tau/Aβ42 cutoff reflecting risk for Alzheimer’s disease (preclinical Alzheimer's disease = 14; control = 15). Results: ANOVAs indicated that accuracy rates did not differ between the groups but 4-second delay incongruent color-naming Stroop coefficient of variation reaction times were higher in the preclinical Alzheimer’s disease group compared to the control group, reflecting increased within-person variability. Moreover, partial correlations showed no relationships between cerebrospinal fluid biomarkers and accuracy rates. However, increases in coefficient of variation reaction times correlated with decreased Aβ42 and increases in p-tau and the p-tau/Aβ42 ratio. Conclusion: Results supported the ability of the computerized, cued-Stroop task to detect subtle Alzheimer’s disease neuropathology using a small cohort of cognitively asymptomatic older adults. The ongoing measurement of cued-Stroop coefficient of variation reaction times has both scientific and clinical utility in preclinical Alzheimer’s disease.

scholarly journals Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease: Current Evidence and Future Perspectives

2021 ◽  
Vol 11 (2) ◽  
pp. 215
Author(s):  
Donovan A. McGrowder ◽  
Fabian Miller ◽  
Kurt Vaz ◽  
Chukwuemeka Nwokocha ◽  
Cameil Wilson-Clarke ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Late Onset ◽  
Amyloid Β ◽  
Current Evidence ◽  
Csf Biomarkers ◽  
Diagnostic Efficacy ◽  
Neurofilament Light ◽  
New Biomarkers

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.

Immune modulations and immunotherapies for Alzheimer’s disease: a comprehensive review

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sara Mahdiabadi ◽  
Sara Momtazmanesh ◽  
George Perry ◽  
Nima Rezaei
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyloid Β ◽  
Cognitive Outcomes ◽  
Tau Proteins ◽  
Causal Role ◽  
Wide Range ◽  
Inflammatory Drugs ◽  
Anti Inflammatory ◽  
Immune Related Genes

Abstract Alzheimer’s disease (AD), the most common cause of dementia, is characterized by progressive cognitive and memory impairment ensued from neuronal dysfunction and eventual death. Intraneuronal deposition of tau proteins and extracellular senile amyloid-β plaques have ruled as the supreme postulations of AD for a relatively long time, and accordingly, a wide range of therapeutics, especially immunotherapies have been implemented. However, none of them resulted in significant positive cognitive outcomes. Especially, the repetitive failure of anti-amyloid therapies proves the inefficiency of the amyloid cascade hypothesis, suggesting that it is time to reconsider this hypothesis. Thus, for the time being, the focus is being shifted to neuroinflammation as a third core pathology in AD. Neuroinflammation was previously considered a result of the two aforementioned phenomena, but new studies suggest that it might play a causal role in the pathogenesis of AD. Neuroinflammation can act as a double-edged sword in the pathogenesis of AD, and the activation of glial cells is indispensable for mediating such attenuating or detrimental effects. The association of immune-related genes polymorphisms with the clinical phenotype of AD as well as the protective effect of anti-inflammatory drugs like nonsteroidal anti-inflammatory drugs supports the possible causal role of neuroinflammation in AD. Here, we comprehensively review immune-based therapeutic approaches toward AD, including monoclonal antibodies and vaccines. We also discuss their efficacy and underlying reasons for shortcomings. Lastly, we highlight the capacity of modulating the neuroimmune interactions and targeting neuroinflammation as a promising opportunity for finding optimal treatments for AD.

Validation and Clinical Utility of ELISA Methods for Quantification of Amyloid-β Peptides in Cerebrospinal Fluid Specimens from Alzheimer's Disease Studies

2015 ◽  
Vol 45 (2) ◽  
pp. 527-542 ◽  
Author(s):  
D. Richard Lachno ◽  
Barbara A. Evert ◽  
Kaia Maloney ◽  
Brian A. Willis ◽  
Jayne A. Talbot ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Clinical Utility ◽  
Amyloid Β

The Trajectory of Cerebrospinal Fluid Growth-Associated Protein 43 in the Alzheimer’s Disease Continuum: A Longitudinal Study

2021 ◽  
pp. 1-12
Author(s):  
Heng Zhang ◽  
Diyang Lyu ◽  
Jianping Jia ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Amyloid Β ◽  
Dementia Patients ◽  
Positron Emission ◽  
Potential Biomarker ◽  
Synaptic Degeneration ◽  
Over Time

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.

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