Cerebrospinal Fluid P-tau Research Articles

Subjective language difficulties are associated with tau and objective verbal memory in older women with increased AD risk

AbstractBackgroundEarly cognitive changes in preclinical Alzheimer’s Disease (AD) include memory problems and language difficulties. Subjective cognitive complaints (SCC) are an AD risk factor and are associated with AD pathologies. Women have higher tau levels over men, despite demonstrating a life‐long “verbal memory advantage.” Therefore, SCC may be a stronger indicator of early tau accumulation than objective cognitive changes. Here, we examined the relationships among tau, subjective cognitive function, and objective cognitive function in older women at higher AD risk.Method16 older women (age: 72.3±3.1years) participated in Women Inflammation and Tau Study (WITS). The inclusion criteria are: 65+ years old, AD polygenic hazard score >50th percentile, and a telephone Montreal Cognitive Assessment score suggestive of mild cognitive impairment (MCI; range 16‐20). Tau was measured with cerebrospinal fluid (CSF) ptau181 and 18F‐MK6240 positron emission tomography (PET) with standardized uptake value ratio (SUVR) calculated in Braak1, correlating with MCI stage. Objective memory and language performance were assessed with the Rey Auditory Verbal Learning Test (RAVLT; immediate and delayed recall) and the Multilingual Naming Test (MINT), respectively. Subjective cognition was measured approximately one year later with the self‐reported Everyday Cognition Scale (ECog) memory and language subscales (higher score indicate more complaints). Spearman partial correlations analyzed the associations among tau, objective cognition, and subjective cognition while controlling for age.ResultGreater CSF ptau181 was significantly associated with higher ECog‐Language (rho = 0.62, p = 0.02), higher ECog‐Memory (rho = 0.53, p = 0.51), and lower RAVLT immediate recall (rho = ‐0.54, p = 0.046; Figure 1). More tau in Braak1 was associated with lower RAVLT immediate recall (rho = ‐0.58, p = 0.03) and higher ECog‐Language (rho = 0.45, p = 0.09), but not ECog‐Memory (p = 0.26; Figure 2). Higher ECog‐Language was significantly associated with lower RAVLT immediate (rho = ‐0.59, p = 0.02) and delayed recall (rho = ‐0.69, p<0.01; Figure 3). MINT correct responses were not related to tau and ECog (p’s>0.28).ConclusionOur preliminary results suggest that, in older women with elevated AD risk, language concerns with memory features (e.g., word finding and forgetting object names) may track with early increases in CSF ptau181 and entorhinal cortex tau‐PET. Self‐reported language decline may be predictive of tau accumulation and worsening objective verbal memory, which could be clinically important for older women.

Differential A/T/N Networks of Cerebrospinal Fluid and Neuroimaging Biomarkers and their Prediction of Cognition between Self‐reported Black/African American and Non‐Hispanic White Individuals

AbstractBackgroundDifferences in absolute levels of individual biomarkers from cerebrospinal fluid (CSF), amyloid PET, and MRI imaging between self‐reported Black and White individuals were reported. How the A/T/N network of AD biomarkers is biologically connected within a racialized group and whether it predicts cognition differentially between groups remain unknown.MethodThe Study of Race to Understand Alzheimer Biomarkers(SORTOUT‐AB) has centrally re‐processed the CSF samples and imaging scans collected at four AD Research Centers/studies: Washington University, University of Pennsylvania, Emory University, and the Harvard Aging Brain Study. A total of 286 Black and 2080 White participants had CSF biomarker data, 157 Black and 936 White participants provided PET amyloid biomarker data, 322 Black and 1530 White individuals had MRI structural data, and 67 Black and 492 White participants provided PET Tau biomarker data. Spearman correlations across biomarkers and cognition/memory were estimated within each race, then compared between groups, adjusting for age, sex, APOE ε4 status, dementia status, and education.ResultsThe absolute correlation between CSF Aβ42 and the centiloid scale of PET amyloid mean cortical SUVR was significantly larger in White(r = ‐0.45) versus Black(r = ‐0.04) participants, similar to the absolute correlations between Aβ42/40 ratio and each of below: PET amyloid centiloid(White r = ‐0.61, Black r = ‐0.12), CSF Tau(White r = ‐0.43, Black r = ‐0.25), and CSF pTau181(White r = ‐0.54, Black r = ‐0.33). Aβ42 alone did not correlate with Tau or pTau181 in White individuals, but positively correlated with Tau(r = 0.15) and pTau181(r = 0.16) in Black participants. Significantly larger positive correlations were observed in Black versus White individuals between CSF Aβ40 and pTau181(Black r = 0.68, White r = 0.55). PET amyloid centiloid, MRI hippocampal volume, and cortical thickness all predicted cognition, with no racial differences observed. However, cognition/memory was better predicted by Aβ42/40 for White verses Black participants(Black r = 0.07, White r = 0.22), Tau(Black r = ‐0.06, White r = ‐0.20), and pTau181(Black r = ‐0.02, White r = ‐0.23).ConclusionBiological associations of CSF and imaging biomarkers differed between Black and White groups, suggesting that current A/T/N research framework of AD biomarkers may not apply across racialized groups. The prediction of CSF biomarkers to cognition also differed between groups. Use of biomarkers in studying AD and designing/analyzing AD clinical trials must appropriately address racial differences.

Associations of APOE4 and Alzheimer’s disease biomarkers with cortical reinstatement and episodic memory in clinically unimpaired older adults

AbstractBackgroundCortical reinstatement is a key neural correlate of episodic remembering across the lifespan and explains significant variability in memory performance among older adults. We assessed whether Alzheimer’s disease (AD) risk factors – cerebrospinal fluid (CSF) Aβ42/Aβ40, CSF pTau181, plasma pTau181, and APOE genotype – impact cortical reinstatement in clinically unimpaired older adults.MethodParticipants were 150 clinically unimpaired older adults enrolled in the Stanford Aging and Memory Study (SAMS). APOE genotype was determined from whole‐genome sequencing and participants were classified as ε4 carriers (N = 38) or non‐carriers (N = 112). CSF Aβ42/Aβ40 and pTau181 and plasma pTau181 were quantified using the automated Lumipulse G system. Cortical reinstatement was quantified during successful retrieval of word‐picture associations using fMRI multivoxel pattern analysis (MVPA) in five regions of interest, including parahippocampal gyrus (PHG), ventral temporal cortex (VTC), middle temporal gyrus (MTG), angular gyrus (ANG), and posterior medial cortex (PMC). Regression analyses examined cross‐sectional relationships between regional cortical reinstatement and a) APOE genotype (N = 150), b) CSF Aβ42/Aβ40 and pTau181 (N = 113), and (c) plasma pTau181 (N = 140), as well as associations of these variables with associative memory discrimination (d’). All models included age, sex, and regional MVPA classifier accuracy during memory encoding.ResultAPOE ε4 genotype was negatively associated with reinstatement strength in VTC (β = ‐0.54, p < .005), MTG (β = ‐0.32, p < .05), and ANG (β = ‐0.32, p < .05) and CSF Aβ42/Aβ40 burden was linked to weaker reinstatement in ANG (β = 0.16, p < .05). In VTC, the effect of APOE ε4 on reinstatement remained significant after controlling for CSF Aβ42/Aβ40 (β = ‐0.47, p < .05); a similar pattern was observed in MTG and ANG. Although CSF pTau181 was unrelated to reinstatement strength, both pTau181 and cortical reinstatement explained unique variance in memory performance (pTau181: β = ‐0.26, p < .005, reinstVTC: β = 0.39, p < .001). Analogous findings were observed with plasma pTau181.ConclusionThese results suggest that APOE ε4 impacts cortical reinstatement, and that this effect may be independent of amyloid burden. These effects of APOE ε4 may be distinct from tau‐mediated effects on episodic memory in human aging.

Clinical Manifestations.

The preclinical stage of Alzheimer disease (AD) is a clinically silent period that is detectable through neuroimaging and biofluid biomarkers of amyloid, tau, and neurodegeneration. We evaluated whether performance on cognitively-focused complex daily tasks is associated with cerebrospinal fluid (CSF) biomarkers of brain amyloidosis or tau pathology in cognitively normal (CN) older adults. In this cross-sectional analysis of an ongoing longitudinal cohort study, CN older adults performed three cognitively-focused complex tasks of daily living (shopping, checkbook balancing, and medication management) from the Performance Assessment of Self-Care Skills (PASS) in their home. PASS tasks were scored for independence (cues required to complete task) and adequacy of performance (quality and process, efficiency, redundant actions). Participants also had a CSF sample obtained within two years of completing the PASS. CSF amyloid (Aβ42, Aβ40) and CSF tau phosphorylated at position 181 (p-tau181) were measured with Lumipulse immunoassays. Nonparametric partial correlations were used to examine the associations between task performance and biomarkers of AD (CSF Aβ42/Aβ40 and CSF p-tau181), controlling for age, gender, and level of education. 122 CN participants (mean age 74.4 years, 53% female, 88% white) were included. After controlling for age, gender, and years of education, worse performance on complex daily tasks was associated with lower CSF Aβ42/Aβ40 (more cues required: Spearman rho = -0.213, p = 0.03), and there was a trend towards lower adequacy (rho = 0.161, p = 0.08). There were no significant associations with CSF p-tau181. This study suggests that worse performance on complex daily tasks in CN older adults may be associated with greater amyloid burden. These findings could lead to a better understanding of functional changes that may be associated with amyloidosis prior to the onset of noticeable memory symptoms in AD or related dementias.

The role of biofluid markers in predicting near‐term cognitive impairment

AbstractBackgroundAlzheimer’s disease (AD) has been defined as a biological construct that can be determined using in vivo biomarkers. Recent studies confirmed the clinical value of the AT(N) framework when using Aβ and tau positron emission tomography (PET) scans in predicting progression from cognitively unimpaired to MCI. Our study aims to investigate if plasma biomarkers can yield similar predictive performance to PET biomarkers, and to also compare against cerebrospinal fluid (CSF) biomarkersMethodIndividuals from the PREVENT‐AD cohort were included in the study. Participants had Aβ and tau plasma measurements and at least one year of clinical follow‐up thereafter (n = 278). A subset of participants had CSF measurements (n = 102) and/or PET scans (n = 133) also with 1‐year clinical follow‐up. Participants were cognitively unimpaired at the time of all biomarker measurements. MCI diagnoses were made by clinical consensus among expert clinical and research staff blind to plasma, CSF, PET, MRI and APOE genotype. We established thresholds of plasma and CSF Aβ and tau positivity based on >80% specificity in identifying individuals with significant levels of Aβ‐PET (plasma Aβ42/40 = 0.057; plasma pTau181 = 7.53 pg/mL; CSF Aβ42 = 961.37; CSF pTau181 = 66.59 pg/mL). Aβ ([18F]NAV4694) and tau ([18F]AV1451)PET thresholds were defined by the mean plus 2 standard deviations from young participants (Aβ SUVR cut‐off = 1.17; tau SUVR cut‐off = 1.24).Result36.8% (7/19) of the A+T+ plasma group progressed to MCI, 50% (4/8) of the A+T+ CSF group progressed to MCI, and 46.6% (7/15) A+T+ PET group progressed to MCI (Fig. 1).We found differences in MCI progression status between the A+T+ group compared to the A‐T‐ and A+T‐ groups across all biomarkers’ measurements, with the A+T+ group always showing a higher rate of progression than the other two groups (post‐hoc chi‐square analyses; p<0.05).ConclusionAbnormal levels of Aβ and tau plasma biomarkers can help predict near‐ term progression to MCI. When plasma thresholds are derived based on PET data, however, plasma biomarkers have a slightly lower specificity than PET and CSF biomarkers, and both plasma and CSF biomarkers are less sensitive than PET biomarkers.

The role of biofluid markers in predicting near‐term cognitive impairment

AbstractBackgroundAlzheimer’s disease (AD) has been defined as a biological construct that can be determined using in vivo biomarkers. Recent studies confirmed the clinical value of the AT(N) framework when using Aß and tau positron emission tomography (PET) scans in predicting progression from cognitively unimpaired to MCI. Our study aims to investigate if plasma biomarkers can yield similar predictive performance to PET biomarkers, and to also compare against cerebrospinal fluid (CSF) biomarkersMethodIndividuals from the PREVENT‐AD cohort were included in the study. Participants had Aß and tau plasma measurements and at least one year of clinical follow‐up thereafter (n = 278). A subset of participants had CSF measurements (n = 102) and/or PET scans (n = 133) also with 1‐year clinical follow‐up. Participants were cognitively unimpaired at the time of all biomarker measurements. MCI diagnoses were made by clinical consensus among expert clinical and research staff blind to plasma, CSF, PET, MRI and APOE genotype. We established thresholds of plasma and CSF Aß and tau positivity based on >80% specificity in identifying individuals with significant levels of Aß‐PET (plasma Aß42/40 = 0.057; plasma pTau181 = 7.53 pg/mL; CSF Aß42 = 961.37; CSF pTau181 = 66.59 pg/mL). Aß ([18F]NAV4694) and tau ([18F]AV1451)PET thresholds were defined by the mean plus 2 standard deviations from young participants (Aß SUVR cut‐off = 1.17; tau SUVR cut‐off = 1.24).Result36.8% (7/19) of the A+T+ plasma group progressed to MCI, 50% (4/8) of the A+T+ CSF group progressed to MCI, and 46.6% (7/15) A+T+ PET group progressed to MCI (Fig. 1).We found differences in MCI progression status between the A+T+ group compared to the A‐T‐ and A+T‐ groups across all biomarkers’ measurements, with the A+T+ group always showing a higher rate of progression than the other two groups (post‐hoc chi‐square analyses; p<0.05).ConclusionAbnormal levels of Aß and tau plasma biomarkers can help predict near‐ term progression to MCI. When plasma thresholds are derived based on PET data, however, plasma biomarkers have a slightly lower specificity than PET and CSF biomarkers, and both plasma and CSF biomarkers are less sensitive than PET biomarkers.

Head‐to‐head comparison of CSF AD biomarker assays: fully‐automated high‐throughput platforms (ECLIA and CLEIA) vs ELISA

AbstractBackgroundBiomarkers in cerebrospinal fluid (CSF) can help to diagnose Alzheimer’s disease (AD) and classify patients according to the amyloid/tau/neurodegeneration (ATN) research framework.MethodWe directly compared the performance of three different testing systems, i..e. traditional solid‐phase sandwich ELISA assays (Innotest®, Fujirebio Europe N.V., Gent, Belgium, and IBL, Minneapolis, USA), a fully automated electrochemiluminescence immunoassays (ECLIA) platform (Elecsys® CSF assays measured on the cobas e 411 analyzer, Roche Diagnostics International Ltd, Rotkreuz, Switzerland), and a fully automated chemiluminescent enzyme immunoassays (CLEIA) platform (Lumipulse® G600II, Fujirebio Europe N.V., Gent, Belgium), in 50 early AD patients (64±8.1y) and 25 cognitively unimpaired (CU) controls (65±9.4y)] from the same cohort. Individual CSF biomarkers Aβ42, Aβ40, pTau181 and tTau were measured using all systems. Ratios for pTau181/Aβ42, tTau/Aβ42, Aβ42/Aβ40, pTau181/Aβ42/Aβ40, tTau/Aβ42/Aβ40, pTau181/Aβ40, and tTau/Aβ40 were calculated.ResultAcross all systems, biomarkers and their ratios accurately distinguished AD patients from CU in a comparable manner: ROC: AUCs >0.96 (upper bound of CI:1.0)], except for ELISA Aβ42/Aβ40 [AUC = 0.948 (CI: 0.901‐0.995)]; according to Youden Index (YI)‐derived optimal cut‐offs, sensitivity and specificity were comparably high. YI cut‐offs and manufacturer (MA) cut‐offs were highly consistent. However, for the ECLIA platform (Elecsys®), the YI cut‐off led to significantly higher sensitivity for tTau (97.8% [0.88‐1.00%]/ 80.9%) and pTau181 (97.8% [0.88‐1.00%]/ 83.0%), and higher specificity for Aβ42 (96.0% [79‐100%]/ 76.0%), than MA cut‐off, maybe due to high prevalence of AD. The two fully automated platforms showed markedly reduced maximal coefficients of variation (CV) than ELISA.ConclusionIn addition to increased time efficiency, fully automated platforms showed more consistent results than ELISA assays which favor single analyte measurements. Improved accuracy using YI cut‐offs suggests that in‐house cut‐offs might be important for optimal performance. The two fully automated platforms had comparable accuracy. Thus, the platform of choice might depend on the user’s needs; for instance, the pTau181/Aβ42 ratio (Elecsys®; (AUC: 1.0 [1.0‐1.0], sensitivity 100%, specificity 100%)) combines the two AD hallmarks (A and T) in one test. For ATN classification, the Aβ42/Aβ40 ratio (Lumipulse®, AUC: 1.0 [1.0‐1.0], sensitivity 100%, specificity 100%) might be a more accurate marker for amyloid positivity (A+) than Aβ42 alone.

Synaptic dysfunction, Tau pathology and Neurodegeneration

AbstractBackgroundTau plays a prominent role in the synapse and has been shown to be closely related to neurodegeneration. Recent evidence show that cerebrospinal fluid (CSF) synaptic markers are related to CSF tau and degeneration. However, it is not clear whether synaptic dysfunction in combination with tau tangles is associated with neurodegeneration in the same brain regions. Our study aims to map in the brain the association of synaptic markers with tau and degeneration.MethodWe evaluated 147 individuals from the TRIAD cohort with CSF GAP43, SYT1, SNAP25, neurogranin (Ng), ptau217, neurofilament light protein (NfL) quantification, as well as tau positron emission tomography (PET), magnetic resonance imaging, and clinical assessments. One‐way ANOVA tested group differences on synaptic levels. Spearman correlation tested the association among synaptic proteins. Linear regressions tested the association between biomarkers. Voxel‐based morphometry (VBM) was considered as an index of neurodegeneration.ResultWe observed an increase in synaptic markers across age and the AD spectrum, reaching a plateau when cognition is affected (Figure 1A). Among the synaptic markers, SNAP25 showed the greatest magnitude of change, on average, between young, aged cognitively unimpaired, mild cognitive impaired, and AD individuals (mean 62.44%). (Figure 1B‐C). In addition, we found that all synaptic markers are significantly intercorrelated (Figure 1D). Moreover, CSF ptau217 correlated with all synaptic biomarkers, GAP43 (β = ‐044), SYT1 (β = ‐0.41), SNAP25 (β = ‐0.59) and Ng (β = ‐0.25). Conversely, CSF NfL was strongly but only correlated with GAP43 (β = 0.62) (Figure 2). Voxel‐wise correlation revealed that tau tangles measured by [18F]‐MK6240 PET, was positively associated with SNAP25 in AD‐related regions, and VBM was associated with all synaptic markers, but more closely with GAP43. Furthermore, the interaction between synaptic markers and temporal meta‐ROI [18F]‐MK6240 on VBM was significant for Ng and GAP43 (Figure 3).ConclusionOur results support a heterogenous role of synaptic markers in the AD continuum and suggest that synaptic dysfunction in the presence of tau pathology may not be driving atrophy.

Synaptic dysfunction in the presence of tau tangles is not a strong predictor of atrophy

AbstractBackgroundTau plays a prominent role in the synapse and has been shown to be closely related to neurodegeneration. Recent evidence show that cerebrospinal fluid (CSF) synaptic markers are related to CSF tau and degeneration. However, it is not clear whether synaptic dysfunction in combination with tau tangles is associated with neurodegeneration in the same brain regions. Our study aims to map in the brain the association of synaptic markers with tau and degeneration.MethodWe evaluated 147 individuals from the TRIAD cohort with CSF GAP43, SYT1, SNAP25, neurogranin (Ng), ptau217, neurofilament light protein (NfL) quantification, as well as tau positron emission tomography (PET), magnetic resonance imaging, and clinical assessments. One‐way ANOVA tested group differences on synaptic levels. Spearman correlation tested the association among synaptic proteins. Linear regressions tested the association between biomarkers. Voxel‐based morphometry (VBM) was considered as an index of neurodegeneration.ResultWe observed an increase in synaptic markers across age and the AD spectrum, reaching a plateau when cognition is affected (Figure 1A). Among the synaptic markers, SNAP25 showed the greatest magnitude of change, on average, between young, aged cognitively unimpaired, mild cognitive impaired, and AD individuals (mean 62.44%). (Figure 1B‐C). In addition, we found that all synaptic markers are significantly intercorrelated (Figure 1D). Moreover, CSF ptau217 correlated with all synaptic biomarkers, GAP43 (ß = ‐044), SYT1 (ß = ‐0.41), SNAP25 (ß = ‐0.59) and Ng (ß = ‐0.25). Conversely, CSF NfL was strongly but only correlated with GAP43 (ß = 0.62) (Figure 2). Voxel‐wise correlation revealed that tau tangles measured by [18F]‐MK6240 PET, was positively associated with SNAP25 in AD‐related regions, and VBM was associated with all synaptic markers, but more closely with GAP43. Furthermore, the interaction between synaptic markers and temporal meta‐ROI [18F]‐MK6240 on VBM was significant for Ng and GAP43 (Figure 3).ConclusionOur results support a heterogenous role of synaptic markers in the AD continuum and suggest that synaptic dysfunction in the presence of tau pathology may not be driving atrophy.

Amyloid‐dependent tau phosphorylation drives faster accumulation of tau aggregates in female

AbstractBackgroundThe high prevalence of Alzheimer’s dementia in females have long puzzled researchers in the field. Despite similar amyloid levels, females show higher load of neurofibrillary tangles (NFTs). Previous literature proposed that amyloid‐β (Aβ) and phosphorylated tau (p‐tau) synergism accelerates biomarker abnormalities. However, it remains to be answered whether this synergism is the driving force behind faster tau progression in females. The overarching goal of the study wa to investigate whether amyloid‐β aggregates differentially impose tau hyperphosphorylation and neurofibrillary tangles formation in a sex‐specific manner.MethodIn this longitudinal study, we assessed 287 participants from TRIAD cohort at McGill University Research Centre for Studies in Aging. Cerebral Aβ and tau deposition were assessed with positron emission tomography (PET) radiotracers [18F]AZD4694 ([18F]NAV4694) and [18F]MK6240, respectively. Cerebrospinal fluid (CSF) p‐tau181 and p‐tau217 were also measured (analysed at the Clinical Neurochemistry Laboratory at the University of Gothenburg, Sweden). Regression and voxel‐based models with interaction terms were used to evaluate baseline tau load and NFT accumulation rate as a function of sex and baseline biomarkers (Aβ and p‐tau).ResultWe identified sex difference in the relationships between CSF p‐tau, Aβ and NFT (Fig 1). Specifically, voxelwise analyses demonstrated that female presented stronger positive correlations between CSF p‐tau and AD core biomarkers (Aβ and NFT). Furthermore, we discovered that Aβ and CSF ptau181 interactively potentiated tau accumulation in females but not males (Fig 2, Table 1). Together, the present results support that Aβ load imposes higher tau aggregation in females.ConclusionAβ‐dependent tau phosphorylation was the key driver for faster NFT accumulation observed in female.

Impairments in sleep and brain molecular clearance in people with cognitive deterioration and biological evidence of AD: a report of four cases

BackgroundRecent evidence suggests that the failure of the glymphatic system – the brain’s waste clearance system, which is active during sleep – plays a key role in the pathophysiology of Alzheimer’s Disease (AD). Glymphatic function can be investigated using serial MRIs after intrathecal gadobutrol injection. This technique can reveal the health of the glymphatic system, but has not yet been used in participants with cognitive impairment due to AD.Case reportThis report describes the sleep and gadobutrol tracer clearance patterns of four participants diagnosed with mild to moderate cognitive impairment with evidence of AD pathology (pathological levels of Ab and p-tau in cerebrospinal fluid). We performed polysomnography and MRI studies before tracer injection and MRI scans at 1.5-2 h, 5–6 h, and 48 h after injection. Despite participants reporting no sleep problems, polysomnography revealed that all participants had moderate to severe sleep disturbances, including reduced sleep efficiency during the study and obstructive sleep apnea. Severe side-effects related to tracer administration were observed, impeding the completion of the protocol in two participants. Participants who finished the protocol displayed delayed and persistent tracer enrichment in the cortex and white matter, even 48 h after injection. These outcomes have not been observed in previous studies in participants without AD.ConclusionThe findings suggest that brains with sleep impairment and AD pathology have poor glymphatic function, and therefore cannot clear the contrast tracer efficiently. This is likely to have caused the severe side effects in our participants, that have not been reported in healthy individuals. Our results may therefore represent the only available data acquired with this technique in participants with AD pathology.

Exploratory Tau Biomarker Results From a Multiple Ascending-Dose Study of BIIB080 in Alzheimer Disease

Accumulation of hyperphosphorylated, tangled microtubule-associated protein tau (MAPT) is a pathological hallmark of Alzheimer disease (AD) associated with disease progression and cognitive decline. To evaluate the effect of tau synthesis reduction on tau biomarkers in patients with mild AD. This randomized clinical trial was a double-blind, placebo-controlled 36-week multiple-ascending dose (MAD) phase 1b trial (October 2017 to September 2020), followed by a 64- or 71-week open-label long-term extension (LTE) (October 2019 to May 2022). After being assessed for eligibility at 12 sites in Canada and Europe, participants with mild AD and confirmed amyloid pathology were randomized 3:1 (BIIB080:placebo) in 4 dose cohorts. Intrathecal administration of BIIB080, a MAPT-targeting antisense oligonucleotide, or placebo. Active dose arms included 10 mg every 4 weeks, 30 mg every 4 weeks, 60 mg every 4 weeks, and 115 mg every 12 weeks during the MAD period and 60 mg every 12 weeks or 115 mg every 12 weeks during the LTE. The original primary end point was safety. Additionally, BIIB080, total tau (t-tau), and phosphorylated tau 181 (p-tau181) cerebrospinal fluid (CSF) concentrations were evaluated. Tau positron emission tomography (PET) was collected in a substudy, and standard uptake value ratios (SUVRs) were calculated in a priori-defined composite regions of interest. Of 102 participants assessed for eligibility, 46 participants with mild AD were enrolled; 23 (50%) were female, and mean (SD) age was 65.8 (5.70) years. BIIB080 was generally well tolerated and was associated with a dose-dependent reduction in CSF t-tau and p-tau181 in the MAD period (56% reduction; 95% CI, 50% to 62%; and 51% reduction; 95% CI, 38% to 63%, of CSF t-tau in the 2 higher-dose cohorts) that continued and/or was maintained through quarterly dosing in the LTE. Tau PET demonstrated reduced accumulation vs placebo at week 25 (n = 13). At week 100, tau PET showed a reduction from baseline across all regions assessed (n = 12), with the largest reductions from baseline observed in the temporal composite (-0.71 SUVR; 95% CI, -1.40 to -0.02). A moderate correlation was observed between model-predicted cumulative CSF drug exposure and tau PET change. In this randomized clinical trial, BIIB080 reduced tau biomarkers, including CSF t-tau, CSF p-tau181, and tau PET, which is associated with cognitive decline, in participants with mild AD. Effects of BIIB080 on biomarkers and clinical outcomes are being further evaluated in a phase 2 trial. ClinicalTrials.gov Identifier: NCT03186989.

High burdens of phosphorylated tau protein and distinct precuneus atrophy in sporadic early-onset Alzheimer’s disease

Early-onset Alzheimer’s disease (EOAD) is a rare devastating subclassification of Alzheimer’s disease (AD). EOAD affects individuals <65 years old, and accounts for 5%–10% of all AD cases. Previous studies on EOAD primarily focused on familial forms, whereas research on sporadic EOAD (sEOAD), which represents 85%–90% of EOAD cases, is limited. In this prospective cohort study, participants were recruited between 2018 and 2023 and included patients with sEOAD (n = 110), late-onset AD (LOAD, n = 89), young controls (YC, n = 50), and older controls (OC, n = 25). All AD patients fulfilled the diagnostic criteria based on biomarker evidence. Familial EOAD patients or non-AD dementia patients were excluded. Single molecule array technology was used to measure fluid biomarkers, including cerebrospinal fluid (CSF) and plasma amyloid beta (Aβ) 40, Aβ42, phosphorylated tau (P-tau) 181, total tau (T-tau), serum neurofilament light chain and glial fibrillary acidic protein (GFAP). Patients with sEOAD exhibited more severe executive function impairment and bilateral precuneus atrophy (P < 0.05, family-wise error corrected) than patients with LOAD. Patients with sEOAD showed elevated CSF and plasma P-tau181 levels (154.0 ± 81.2 pg/mL, P = 0.002; and 6.1 ± 2.3 pg/mL, P = 0.046). Moreover, precuneus atrophy was significantly correlated with serum GFAP levels in sEOAD (P < 0.001). Serum GFAP levels (area under the curve (AUC) = 96.0%, cutoff value = 154.3 pg/mL) displayed excellent diagnostic value in distinguishing sEOAD patients from the control group. These preliminary findings highlight the crucial role of tau protein phosphorylation in the pathogenesis and progression of sEOAD.

Levels of plasma brain-derived tau and p-tau181 in Alzheimer's disease and rapidly progressive dementias.

Rapidly progressive dementias (RPDs) are a group of neurological disorders characterized by a rapid cognitive decline. The diagnostic value of blood-based biomarkers for Alzheimer's disease (AD) in RPD has not been fully explored. We measured plasma brain-derived tau (BD-tau) and p-tau181 in 11 controls, 15 AD patients, and 33 with RPD, of which 19 were Creutzfeldt-Jakob disease (CJD). Plasma BD-tau differentiated AD from RPD and controls (p=0.002 and p=0.03, respectively), while plasma and cerebrospinal fluid (CSF) p-tau181 distinguished AD from RPD (p<0.001) but not controls from RPD (p>0.05). The correlation of CSF t-tau with plasma BD-tau was stronger (r=0.78, p<0.001) than the correlation of CSF and plasma p-tau181 (r=0.26, p=0.04). The ratio BD-tau/p-tau181 performed equivalently to the CSF t-tau/p-tau181 ratio, differentiating AD from CJD (p<0.0001). Plasma BD-tau and p-tau181 mimic their corresponding cerebrospinal fluid (CSF) markers. P-tau significantly increased in AD but not in RPD. Plasma BD-tau, like CSF t-tau, increases according to neurodegeneration intensity.

Relationship between preoperative neutrophil-to-lymphocyte ratio and postoperative delirium: The PNDABLE and the PNDRFAP cohort studies.

In this study, the relationship between preoperative neutrophil-to-lymphocyte ratio (NLR) and Alzheimer-related biomarkers in cerebrospinal fluid (CSF) was investigated to determine whether high NLR is a potential risk factor for postoperative delirium (POD) and to evaluate its predictive efficacy. We selected 1000 patients from the perioperative neurocognitive disorder risk factor and prognosis (PNDRFAP) database and 999 patients from the perioperative neurocognitive disorder and biomarker lifestyle (PNDABLE) database. Patients in the PNDABLE database have been measured for Alzheimer-related biomarkers in CSF (Aβ40 , Aβ42 , P-tau, and tau protein). Mini-mental state examination was used to assess the preoperative mental status of patients. POD was diagnosed using the confusion assessment method and assessed for severity using the memorial delirium assessment scale. Logistic regression analysis was utilized to explore the association of preoperative NLR with POD. What's more, we also performed sensitivity analysis by adding corrected confounders, and the results were almost unchanged. Spearman's rank correlation was used to determine the associations between NLR and Alzheimer-related biomarkers. Mediation analyses with 10,000 bootstrapped iterations were used to explore the mediation effects. Finally, we use decision curves and the nomogram model to evaluate the efficacy of preoperative NLR in predicting POD; we also performed external validation using data from Qilu Hospital. Logistic regression results showed that an elevated preoperative NLR was a risk factor for the development of POD in patients (PNDRFAP: OR=1.067, 95% CI 1.020-1.116; PNDABLE: OR=1.182, 95% CI 1.048-1.335, p<.05). Spearman's rank correlation analysis showed a positive but weak correlation between NLR and P-tau/T-tau (R=.065). The mediating effect results indicate that NLR likely mediates the occurrence of POD through elevated tau protein levels (proportion: 47.47%). The results of the box plots showed statistically significant NLR and CSF biomarkers between the POD and non-POD (NPOD) groups (p<.05), with higher NLR, P-tau, and T-tau in the POD group than in the NPOD group. In contrast, the NPOD group had higher Aβ42 levels compared to the POD group. In addition, we used R package to plot the decision curve and nomogram both suggesting a good predictive effect of preoperative NLR on the occurrence of POD. Elevated preoperative NLR levels may be a risk factor for POD and likely mediate the development of POD through elevated P-tau/T-tau levels.

Misfolded α-Synuclein in Cerebrospinal Fluid of Contact Sport Athletes.

Misfolded α-synuclein in Parkinson's disease (PD) and dementia with Lewy bodies (DLB) can be detected using the real-time quaking-induced conversion (RT-QuIC) technique in cerebrospinal fluid (CSF). The objectives are (1) to examine misfolded CSF α-synuclein incidence, and (2) to compare clinical presentation, sports history, brain volumes, and RT-QuIC α-synuclein positivity in former athletes. Thirty former athletes with magnetic resonance imaging, neuropsychological testing, and CSF analyzed for phosphorylated tau 181 (p-tau), total tau (t-tau), amyloid-β 42 (Aβ42), and neurofilament light chain (NfL). CSF α-synuclein was detected using RT-QuIC. Six (20%) former athletes were α-synuclein positive. α-Synuclein positive athletes were similar to α-synuclein negative athletes on demographics, sports history, clinical features, CSF p-tau, t-tau, Aβ42, and NfL; however, had lower grey matter volumes in the right inferior orbitofrontal, right anterior insula and right olfactory cortices. α-Synuclein RT-QuIC analysis of CSF may be useful as a prodromal biofluid marker of PD and DLB. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Identification of an APOE ε4-specific blood-based molecular pathway for Alzheimer's disease risk.

The precise apolipoprotein E (APOE) ε4-specific molecular pathway(s) for Alzheimer's disease (AD) risk are unclear. Plasma protein modules/cascades were analyzed using weighted gene co-expression network analysis (WGCNA) in the Alzheimer's Disease Neuroimaging Initiative study. Multivariable regression analyses were used to examine the associations among protein modules, AD diagnoses, cerebrospinal fluid (CSF) phosphorylated tau (p-tau), and brain glucose metabolism, stratified by APOE genotype. The Green Module was associated with AD diagnosis in APOE ε4 homozygotes. Three proteins from this module, C-reactive protein (CRP), complement C3, and complement factor H (CFH), had dose-dependent associations with CSF p-tau and cognitive impairment only in APOE ε4 homozygotes. The link among these three proteins and glucose hypometabolism was observed in brain regions of the default mode network (DMN) in APOE ε4 homozygotes. A Framingham Heart Study validation study supported the findings for AD. The study identifies the APOE ε4-specific CRP-C3-CFH inflammation pathway for AD, suggesting potential drug targets for the disease.Highlights: Identification of an APOE ε4 specific molecular pathway involving blood CRP, C3, and CFH for the risk of AD.CRP, C3, and CFH had dose-dependent associations with CSF p-Tau and brain glucose hypometabolism as well as with cognitive impairment only in APOE ε4 homozygotes.Targeting CRP, C3, and CFH may be protective and therapeutic for AD onset in APOE ε4 carriers.

Association of APOE-ε4 and GAP-43-related presynaptic loss with β-amyloid, tau, neurodegeneration, and cognitive decline

Apolipoprotein E-ε4 (APOE-ε4) carriers had elevated cerebrospinal fluid (CSF) presynaptic protein growth-associated protein-43 (GAP-43), but the underlying mechanism is not fully understood. We investigated how the APOE-ε4 genotype affects the baseline and longitudinal changes in CSF GAP-43 and their associations with β-amyloid positron emission tomography (Aβ PET), CSF phosphorylated tau 181 (p-Tau181), neurodegeneration, and cognitive decline. Compared to APOE-ε4 non-carriers, APOE-ε4 carriers had higher baseline levels and faster rates of increases in Aβ PET, CSF p-Tau181, and CSF GAP-43. Both higher baseline levels and faster rates of increase in CSF GAP-43 were associated with greater baseline Aβ PET and CSF p-Tau181, which fully mediated the APOE-ε4 effect on CSF GAP-43 elevations. Independent of Aβ PET and CSF p-Tau181, APOE-ε4 carriage was associated with exacerbated GAP-43-related longitudinal hippocampal atrophy and cognitive decline, especially in Aβ+ participants (GAP-43 × time × APOE-ε4). These findings suggest that the APOE-ε4 effect on GAP-43-related presynaptic dysfunction is mediated by primary Alzheimer’s pathologies and independently correlates to hippocampal atrophy and cognitive decline in the future.

Astrocyte biomarkers GFAP and YKL-40 mediate early Alzheimer's disease progression.

We studied how biomarkers of reactive astrogliosis mediate the pathogenic cascade in the earliest Alzheimer's disease (AD) stages. We performed path analysis on data from 384 cognitively unimpaired individuals from the ALzheimer and FAmilies (ALFA)+ study using structural equation modeling to quantify the relationships between biomarkers of reactive astrogliosis and the AD pathological cascade. Cerebrospinal fluid (CSF) amyloid beta (Aβ)42/40 was associated with Aβ aggregation on positron emission tomography (PET) and with CSF p-tau181 , which was in turn directly associated with CSF neurofilament light (NfL). Plasma glial fibrillary acidic protein (GFAP) mediated the relationship between CSF Aβ42/40 and Aβ-PET, and CSF YKL-40 partly explained the association between Aβ-PET, p-tau181 , and NfL. Our results suggest that reactive astrogliosis, as indicated by different fluid biomarkers, influences the pathogenic cascade during the preclinical stage of AD. While plasma GFAP mediates the early association between soluble and insoluble Aβ, CSF YKL-40 mediates the latter association between Aβ and downstream Aβ-induced tau pathology and tau-induced neuronal injury. Lower CSF Aβ42/40 was directly linked to higher plasma GFAP concentrations. Plasma GFAP partially explained the relationship between soluble Aβ and insoluble Aβ. CSF YKL-40 mediated Aβ-induced tau phosphorylation and tau-induced neuronal injury.

Cross-sectional associations of CSF tau levels with Rey's AVLT: A recency ratio study.

The preeminent in vivo cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are amyloid β 1-42 (Aβ42), phosphorylated Tau (p-tau), and total Tau (t-tau). The goal of this study was to examine how well traditional (total and delayed recall) and process-based (recency ratio [Rr]) measures derived from Rey's Auditory Verbal Learning test (AVLT) were associated with these biomarkers. Data from 235 participants (Mage = 65.5, SD = 6.9), who ranged from cognitively unimpaired to mild cognitive impairment, and for whom CSF values were available, were extracted from the Wisconsin Registry for Alzheimer's Prevention. Bayesian regression analyses were carried out using CSF scores as outcomes, AVLT scores as predictors, and controlling for demographic data and diagnosis. We found moderate evidence that Rr was associated with both CSF p-tau (Bayesian factor [BFM] = 5.55) and t-tau (BFM = 7.28), above and beyond the control variables, while it did not correlate with CSF Aβ42 levels. In contrast, total and delayed recall scores were not linked with any of the AD biomarkers, in separate analyses. When comparing all memory predictors in a single regression, Rr remained the strongest predictor of CSF t-tau levels (BFM = 3.57). Our findings suggest that Rr may be a better cognitive measure than commonly used AVLT scores to assess CSF levels of p-tau and t-tau in nondemented individuals. (PsycInfo Database Record (c) 2023 APA, all rights reserved).