scholarly journals Olfactory Impairment is Related to Tau Pathology and Neuroinflammation in Alzheimer’s Disease

2021 ◽  
pp. 1-16
Author(s):  
Julia Klein ◽  
Xinyu Yan ◽  
Aubrey Johnson ◽  
Zeljko Tomljanovic ◽  
James Zou ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Brain Mri ◽  
Amyloid Β ◽  
Cognitive Status ◽  
Odor Identification ◽  
Amyloid Pet ◽  
Tau Pathology ◽  
Olfactory Impairment ◽  
T Tau

Background: Olfactory impairment is evident in Alzheimer’s disease (AD); however, its precise relationships with clinical biomarker measures of tau pathology and neuroinflammation are not well understood. Objective: To determine if odor identification performance measured with the University of Pennsylvania Smell Identification Test (UPSIT) is related to in vivo measures of tau pathology and neuroinflammation. Methods: Cognitively normal and cognitively impaired participants were selected from an established research cohort of adults aged 50 and older who underwent neuropsychological testing, brain MRI, and amyloid PET. Fifty-four participants were administered the UPSIT. Forty-one underwent 18F-MK-6240 PET (measuring tau pathology) and fifty-three underwent 11C-PBR28 PET (measuring TSPO, present in activated microglia). Twenty-three participants had lumbar puncture to measure CSF concentrations of total tau (t-tau), phosphorylated tau (p-tau), and amyloid-β (Aβ 42). Results: Low UPSIT performance was associated with greater18F-MK-6240 binding in medial temporal cortex, hippocampus, middle/inferior temporal gyri, inferior parietal cortex, and posterior cingulate cortex (p <  0.05). Similar relationships were seen for 11C-PBR28. These relationships were primarily driven by amyloid-positive participants. Lower UPSIT performance was associated with greater CSF concentrations of t-tau and p-tau (p <  0.05). Amyloid status and cognitive status exhibited independent effects on UPSIT performance (p <  0.01). Conclusion: Olfactory identification deficits are related to extent of tau pathology and neuroinflammation, particularly in those with amyloid pathophysiology. The independent association of amyloid-positivity and cognitive impairment with odor identification suggests that low UPSIT performance may be a marker for AD pathophysiology in cognitive normal individuals, although impaired odor identification is associated with both AD and non-AD related neurodegeneration. NCT Registration Numbers: NCT03373604; NCT02831283

scholarly journals Olfactory impairment is related to tau pathology and neuroinflammation in Alzheimer's disease

2020 ◽  
Author(s):  
Julia Klein ◽  
Xinyu Yan ◽  
Aubrey Johnson ◽  
Zeljko Tomljanovic ◽  
James Zou ◽  
...  
Keyword(s):  
Brain Mri ◽  
Temporal Cortex ◽  
Posterior Cingulate Cortex ◽  
Cognitive Status ◽  
Odor Identification ◽  
Amyloid Pet ◽  
Tau Pathology ◽  
Olfactory Impairment ◽  
T Tau

Background: Olfactory impairment is evident in Alzheimers disease (AD), however, its precise relationships with in vivo measures of tau pathology and neuroinflammation are not well understood. Objective: To determine if odor identification performance measured with the University of Pennsylvania Smell Identification Test (UPSIT) is related to in vivo measures of tau pathology and neuroinflammation. Methods: Participants were selected from an established research cohort of adults aged 50 and older who underwent neuropsychological testing, brain MRI, and amyloid PET. Fifty-four participants were administered the UPSIT. Forty-one underwent 18F-MK-6240 PET and fifty-three underwent 11C-PBR28 PET to measure tau pathology and neuroinflammation, respectively. Twenty-three participants had lumbar puncture to measure CSF concentrations of total tau (t-tau), phosphorylated tau (p-tau) and beta;-amyloid (AB42). Results: Low UPSIT performance was associated with greater18F-MK-6240 binding in medial temporal cortex, hippocampus, middle/inferior temporal gyri, inferior parietal cortex and posterior cingulate cortex (p < 0.05). Similar relationships were seen for 11C-PBR28. These relationships were primarily driven by amyloid-positive participants. Lower UPSIT performance was associated with greater CSF concentrations of t-tau and p-tau (p < 0.05). Amyloid status and cognitive status exhibited independent effects on UPSIT performance (p < 0.01). Conclusions: Olfactory identification deficits are related to extent of tau pathology and neuroinflammation, particularly in those with amyloid pathophysiology. That amyloid-positivity and cognitive impairment are independently associated with odor identification suggests that low UPSIT performance may signify risk of AD pathophysiology in cognitively normal individuals and that impaired odor identification is associated with AD and non-AD-related neurodegeneration.

De Novo PS1 Mutation (Pro436Gln) in a Very Early-Onset Posterior Variant of Alzheimer’s Disease Associated with Spasticity: A Case Report

2021 ◽  
pp. 1-6
Author(s):  
Pablo Agüero ◽  
María José Sainz ◽  
Raquel Téllez ◽  
Isabel Lorda ◽  
Almudena Ávila ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
De Novo ◽  
Clinical Phenotype ◽  
Brain Mri ◽  
Amyloid Β ◽  
Strong Impact ◽  
Amyloid Pet ◽  
Posterior Cortex ◽  
Cerebrospinal Fluid Biomarkers

We report a patient with sporadic Alzheimer’s disease with onset in his twenties found to carry the de novo Pro436Gln mutation in the presenilin 1 gene (PS1). Clinical phenotype featured a posterior cortical syndrome with severe visual agnosia and mild limb spasticity with brisk reflexes. Brain MRI and FDG-PET scans revealed severe parieto-occipital atrophy/hypometabolism. Cerebrospinal fluid biomarkers showed a decrease in Aβ 42 level and Aβ 42/40 ratio, increased phospho-tau, and normal total tau. Amyloid PET identified a very high burden of amyloid-β neuritic plaques in the posterior cortex. Similarities between this and two previously reported cases with this variant support that this mutation has a very strong impact on the clinical phenotype and is consistently associated with spasticity.

scholarly journals Performance of Plasma Amyloid β, Total Tau and Neurofilament Light Chain Levels for Alzheimer’s Disease Identification

2020 ◽  
Author(s):  
Bin Jiao ◽  
Hui Liu ◽  
Lina Guo ◽  
Xinxin Liao ◽  
Yafang Zhou ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Light Chain ◽  
Amyloid Β ◽  
Amyloid Pet ◽  
Neurofilament Light Chain ◽  
Neurofilament Light ◽  
Plasma Biomarkers ◽  
Total Tau ◽  
T Tau

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.

PET Amyloid and Tau Status Are Differently Affected by Patient Features

2020 ◽  
Vol 78 (3) ◽  
pp. 1129-1136
Author(s):  
Meng-Shan Tan ◽  
Yu-Xiang Yang ◽  
Hui-Fu Wang ◽  
Wei Xu ◽  
Chen-Chen Tan ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyloid Β ◽  
Amyloid Pet ◽  
Tau Pathology ◽  
Clinical Genetic ◽  
Multivariable Logistic Regression Model ◽  
Tau Pet ◽  
Pet Amyloid

Background: Amyloid-β (Aβ) plaques and tau neurofibrillary tangles are two neuropathological hallmarks of Alzheimer’s disease (AD), which both can be visualized in vivo using PET radiotracers, opening new opportunities to study disease mechanisms. Objective: Our study investigated 11 non-PET factors in 5 categories (including demographic, clinical, genetic, MRI, and cerebrospinal fluid (CSF) features) possibly affecting PET amyloid and tau status to explore the relationships between amyloid and tau pathology, and whether these features had a different association with amyloid and tau status. Methods: We included 372 nondemented elderly from the Alzheimer’s Disease Neuroimaging Initiative cohort. All underwent PET amyloid and tau analysis simultaneously, and were grouped into amyloid/tau quadrants based on previously established abnormality cut points. We examined the associations of above selected features with PET amyloid and tau status using a multivariable logistic regression model, then explored whether there was an obvious correlation between the significant features and PET amyloid or tau levels. Results: Our results demonstrated that PET amyloid and tau status were differently affected by patient features, and CSF biomarker features provided most significant values associating PET findings. CSF Aβ42/40 was the most important factor affecting amyloid PET status, and negatively correlated with amyloid PET levels. CSF pTau could significantly influence both amyloid and tau PET status. Besides CSF pTau and Aβ42, APOE ɛ4 allele status and Mini-Mental State Examination scores also could influence tau PET status, and significantly correlated with tau PET levels. Conclusion: Our results support that tau pathology possibly affected by Aβ-independent factors, implicating the importance of tau pathology in AD pathogenesis.

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 Case of early-onset Alzheimer’s disease with atypical manifestation

2021 ◽  
Vol 34 (1) ◽  
pp. e100283
Author(s):  
Lin Zhu ◽  
Limin Sun ◽  
Lin Sun ◽  
Shifu Xiao
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Clinical Manifestation ◽  
Early Onset ◽  
Short Term Memory ◽  
Brain Mri ◽  
Memory Loss ◽  
Amyloid Β ◽  
Amyloid Β Protein ◽  
Fluent Aphasia

Short-term memory decline is the typical clinical manifestation of Alzheimer’s disease (AD). However, early-onset AD usually has atypical symptoms and may get misdiagnosed. In the present case study, we reported a patient who experienced symptoms of memory loss with progressive non-fluent aphasia accompanied by gradual social withdrawal. He did not meet the diagnostic criteria of AD based on the clinical manifestation and brain MRI. However, his cerebrospinal fluid examination showed a decreased level of beta-amyloid 42, and increased total tau and phosphorylated tau. Massive amyloid β-protein deposition by 11C-Pittsburgh positron emission tomography confirmed the diagnosis of frontal variant AD. This case indicated that early-onset AD may have progressive non-fluent aphasia as the core manifestation. The combination of individual and precision diagnosis would be beneficial for similar cases.

scholarly journals Soluble P-tau217 reflects amyloid and tau pathology and mediates the association of amyloid with tau

2021 ◽  
Author(s):  
Niklas Mattsson-Carlgren ◽  
Shorena Janelidze ◽  
Randall Bateman ◽  
Ruben Smith ◽  
Erik Stomrud ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Medial Temporal Lobe ◽  
Amyloid Plaques ◽  
Amyloid Plaque ◽  
Amyloid Pet ◽  
Tau Pathology ◽  
Β Amyloid ◽  
Tau Pet ◽  
Disease Stages

Abstract Alzheimer’s disease is characterized by β-amyloid plaques and tau tangles. Plasma levels of phospho-tau217 (P-tau217) accurately differentiate Alzheimer’s disease dementia from other dementias, but it is unclear to what degree this reflects β-amyloid plaque accumulation, tau tangle accumulation, or both. In a cohort with post-mortem neuropathological data (N=88), both plaque and tangle density contributed independently to higher P-tau217. Several findings were replicated in a cohort with PET imaging (“BioFINDER-2”, N=426), where β-amyloid and tau PET were independently associated to P-tau217. P-tau217 correlated with β-amyloid PET (but not tau PET) in early disease stages, and with both β-amyloid and (more strongly) tau PET in late disease stages. Finally, P-tau217 mediated the association between β-amyloid and tau in both cohorts, especially for tau outside of the medial temporal lobe. These findings support the hypothesis that plasma P-tau217 is increased by both β-amyloid plaques and tau tangles and is congruent with the hypothesis that P-tau is involved in β-amyloid-dependent formation of neocortical tau tangles.

The Role of Apolipoprotein E ε4 in Early and Late Mild Cognitive Impairment

2021 ◽  
Vol 84 (6) ◽  
pp. 472-480
Author(s):  
Yulin Luo ◽  
Li Tan ◽  
Joseph Therriault ◽  
Hua Zhang ◽  
Ying Gao ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Apolipoprotein E ◽  
Amyloid Β ◽  
Disease Assessment ◽  
Tau Pathology ◽  
Ε4 Allele ◽  
State Examination

<b><i>Background:</i></b> Apolipoprotein E (<i>APOE</i>) ε4 is highly associated with mild cognitive impairment (MCI). However, the specific influence of <i>APOE</i> ε4 status on tau pathology and cognitive decline in early MCI (EMCI) and late MCI (LMCI) is poorly understood. Our goal was to evaluate the association of <i>APOE</i> ε4 with cerebrospinal fluid (CSF) tau levels and cognition in EMCI and LMCI patients in the Alzheimer’s Disease Neuroimaging Initiative database, and whether this association was mediated by amyloid-β (Aβ). <b><i>Methods:</i></b> Participants were 269 cognitively normal (CN), 262 EMCI, and 344 LMCI patients. They underwent CSF Aβ42 and tau detection, <i>APOE</i> ε4 genotyping, Mini-Mental State Examination, (MMSE), and Alzheimer’s disease assessment scale (ADAS)-cog assessments. Linear regressions were used to examine the relation of <i>APOE</i> ε4 and CSF tau levels and cognitive scores in persons with and without Aβ deposition (Aβ+ and Aβ−). <b><i>Results:</i></b> The prevalence of <i>APOE</i> ε4 is higher in EMCI and LMCI than in CN (<i>p</i> &#x3c; 0.001 for both), and in LMCI than in EMCI (<i>p</i> = 0.001). <i>APOE</i> ε4 allele was significantly higher in Aβ+ subjects than in Aβ− subjects (<i>p</i> &#x3c; 0.001). Subjects who had a lower CSF Aβ42 level and were <i>APOE</i> ε4-positive experienced higher levels of CSF tau and cognitive scores in EMCI and/or LMCI. <b><i>Conclusions:</i></b> An <i>APOE</i> ε4 allele is associated with increased CSF tau and worse cognition in both EMCI and LMCI, and this association may be mediated by Aβ. We conclude that <i>APOE</i> ε4 may be an important mediator of tau pathology and cognition in the early stages of AD.

scholarly journals Reduced non–rapid eye movement sleep is associated with tau pathology in early Alzheimer’s disease

2019 ◽  
Vol 11 (474) ◽  
pp. eaau6550 ◽  
Author(s):  
Brendan P. Lucey ◽  
Austin McCullough ◽  
Eric C. Landsness ◽  
Cristina D. Toedebusch ◽  
Jennifer S. McLeland ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Eye Movement ◽  
Single Channel ◽  
Amyloid Β ◽  
Neuronal Cell ◽  
Rapid Eye Movement ◽  
Tau Pathology ◽  
Potential Marker

In Alzheimer’s disease (AD), deposition of insoluble amyloid-β (Aβ) is followed by intracellular aggregation of tau in the neocortex and subsequent neuronal cell loss, synaptic loss, brain atrophy, and cognitive impairment. By the time even the earliest clinical symptoms are detectable, Aβ accumulation is close to reaching its peak and neocortical tau pathology is frequently already present. The period in which AD pathology is accumulating in the absence of cognitive symptoms represents a clinically relevant time window for therapeutic intervention. Sleep is increasingly recognized as a potential marker for AD pathology and future risk of cognitive impairment. Previous studies in animal models and humans have associated decreased non–rapid eye movement (NREM) sleep slow wave activity (SWA) with Aβ deposition. In this study, we analyzed cognitive performance, brain imaging, and cerebrospinal fluid (CSF) AD biomarkers in participants enrolled in longitudinal studies of aging. In addition, we monitored their sleep using a single-channel electroencephalography (EEG) device worn on the forehead. After adjusting for multiple covariates such as age and sex, we found that NREM SWA showed an inverse relationship with AD pathology, particularly tauopathy, and that this association was most evident at the lowest frequencies of NREM SWA. Given that our study participants were predominantly cognitively normal, this suggested that changes in NREM SWA, especially at 1 to 2 Hz, might be able to discriminate tau pathology and cognitive impairment either before or at the earliest stages of symptomatic AD.

scholarly journals Mitophagy inhibits amyloid-β and tau pathology and reverses cognitive deficits in models of Alzheimer’s disease

2019 ◽  
Vol 22 (3) ◽  
pp. 401-412 ◽  
Author(s):  
Evandro F. Fang ◽  
Yujun Hou ◽  
Konstantinos Palikaras ◽  
Bryan A. Adriaanse ◽  
Jesse S. Kerr ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Deficits ◽  
Amyloid Β ◽  
Tau Pathology
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