Amyloid Tau Neurodegeneration Research Articles

ATN blood biomarkers are related to digital cognitive assessment in type 1 diabetes.

Associations between amyloid-tau-neurodegeneration (ATN) plasma biomarkers and cognition have not been characterized in adults with type 1 diabetes (T1D). Using data from participants in the Glycemic Variability and Fluctuations in Cognitive Status in Adults with T1D (GluCog) study (N=114), we evaluated associations between phosphorylated tau (pTau)181, pTau217, β-amyloid 42/40 ratio, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) and self-administered digital cognitive tests, adjusting for age, sex, education, comorbidities (e.g., kidney disease), and glycemic indices. Higher concentrations of pTau181 and GFAP were associated with slower responses on working memory tasks (pTau181: β=0.261; p=0.007; GFAP: β=0.175, p=0.036), and higher β-amyloid 42/40 ratio was associated with better vocabulary (β=0.260, p=0.009). Digital cognitive performance was associated with several ATN plasma biomarkers in T1D adults. Prospective studies are needed to understand the utility of these biomarkers in T1D. There is an increase in life expectancy for individuals with type 1 diabetes (T1D).Few studies investigate the relationship between T1D and neurodegeneration.We characterize the relation between ATN plasma biomarkers and cognitive function.Digital cognitive performance was associated with plasma biomarkers in T1D adults.

Differentiation of Alzheimer's disease from other neurodegenerative disorders using chemiluminescence immunoassays measuring cerebrospinal fluid biomarkers.

Prior research identified four neurochemical cerebrospinal fluid (CSF) biomarkers, Aβ1-42, Aβ1-40, tTau, and pTau(181), as core diagnostic markers for Alzheimer's disease (AD). Determination of AD biomarkers using immunoassays can support differential diagnosis of AD vs. several neuropsychiatric disorders, which is important because the respective treatment regimens differ. Results of biomarker determination can be classified according to the Amyloid/Tau/Neurodegeneration (ATN) system into profiles. Less is known about the clinical performance of chemiluminescence immunoassays (ChLIA) measuring specific biomarkers in CSF samples from patients suffering from neuropsychiatric impairments with various underlying causes. Chemiluminescence immunoassays (ChLIAs, EUROIMMUN) were used to determine Beta-Amyloid (1-40), Beta-Amyloid (1-42), Total-Tau, and pTau(181) concentrations in precharacterized cerebrospinal fluid (CSF) samples from 219 AD patients, 74 patients with mild cognitive impairment (MCI), and 220 disease control (DC) patients. 83.0% of AD patients had ATN profiles consistent with AD, whereas 85.5% of DC patients and 77.0% of MCI patients had profiles inconsistent with AD. AD patients showed significantly lower amyloid ratio Aβ1-42/Aβ1-40 (mean: 0.07) and significantly higher concentrations of tTau (mean: 901.6 pg/ml) and pTau(181) (mean: 129 pg/ml) compared to DC and MCI patients (all p values < 0.0071). The ChLIAs effectively determined specific biomarkers and can support differential diagnostics of AD. Their quality was demonstrated in samples from 513 patients with cognitive impairments, representing a realistic mix of underlying causes for seeking treatment at a memory clinic.

Clinical utility of diffusion MRI-derived measures of cortical microstructure in a real-world memory clinic setting.

To investigate cortical microstructural measures from diffusion MRI as "neurodegeneration" markers that could improve prognostic accuracy in mild cognitive impairment (MCI). The prognostic power of Amyloid/Tau/Neurodegeneration (ATN) biomarkers to predict progression from MCI to AD or non-AD dementia was investigated. Ninety patients underwent clinical evaluation (follow-up interval 32 ± 18 months), lumbar puncture, and MRI. Participants were grouped by clinical stage and cerebrospinal fluid Amyloid and Tau status. T1-structural and diffusion MRI scans were analyzed to calculate diffusion metrics related to cortical columnar structure (AngleR, ParlPD, PerpPD+), cortical mean diffusivity, and fractional anisotropy. Statistical tests were corrected for multiple comparisons. Prognostic power was assessed using receiver operating characteristic (ROC) analysis and related indices. A progressive increase of whole-brain cortical diffusion values was observed along the AD continuum, with all A+ groups showing significantly higher AngleR than A-T-. Investigating clinical progression to dementia, the AT biomarkers together showed good positive predictive value (with 90.91% of MCI A+T+ converting to dementia) but poor negative predictive value (with 40% of MCI A-T- progressing to a mix of AD and non-AD dementias). Adding whole-brain AngleR as an N marker, produced good differentiation between stable and converting MCI A-T- patients (0.8 area under ROC curve) and substantially improved negative predictive value (+21.25%). Results support the clinical utility of cortical microstructure to aid prognosis, especially in A-T- patients. Further work will investigate other complexities of the real-world clinical setting, including A-T+ groups. Diffusion MRI measures of neurodegeneration may complement fluid AT markers to support clinical decision-making.

Association of oxidative stress and inflammatory metabolites with Alzheimer’s disease cerebrospinal fluid biomarkers in mild cognitive impairment

BackgroundIsoprostanes and prostaglandins are biomarkers for oxidative stress and inflammation. Their role in Alzheimer's disease (AD) pathophysiology is yet unknown. In the current study, we aim to identify the association of isoprostanes and prostaglandins with the Amyloid, Tau, Neurodegeneration (ATN) biomarkers (Aβ-42, p-tau, and t-tau) of AD pathophysiology in mild cognitive impairment (MCI) subjects.MethodsTargeted metabolomics profiling was performed using liquid chromatography-mass spectrometry (LCMS) in 147 paired plasma-CSF samples from the Ace Alzheimer Center Barcelona and 58 CSF samples of MCI patients from the Mannheim/Heidelberg cohort. Linear regression was used to evaluate the association of metabolites with CSF levels of ATN biomarkers in the overall sample and stratified by Aβ-42 pathology and APOE genotype. We further evaluated the role of metabolites in MCI to AD dementia progression.ResultsIncreased CSF levels of PGF2α, 8,12-iso-iPF2α VI, and 5-iPF2α VI were significantly associated (False discovery rate (FDR) < 0.05) with higher p-tau levels. Additionally, 8,12-iso-iPF2α VI was associated with increased total tau levels in CSF. In MCI due to AD, PGF2α was associated with both p-tau and total tau, whereases 8,12-iso-iPF2α VI was specifically associated with p-tau levels. In APOE stratified analysis, association of PGF2α with p-tau and t-tau was observed in only APOE ε4 carriers while 5-iPF2α VI showed association with both p-tau and t-tau in APOE ε33 carriers. CSF levels of 8,12- iso-iPF2α VI showed association with p-tau and t-tau in APOE ε33/APOE ε4 carriers and with t-tau in APOE ε3 carriers. None of the metabolites showed evidence of association with MCI to AD progression.ConclusionsOxidative stress (8,12-iso-iPF2α VI) and inflammatory (PGF2α) biomarkers are correlated with biomarkers of AD pathology during the prodromal stage of AD and relation of PGF2α with tau pathology markers may be influenced by APOE genotype.

Novel diagnostic and prognostic approach for rapidly progressive dementias: Indicators based on amyloid/tau/neurodegeneration (ATN) framework.

Apply established cerebrospinal fluid (CSF) and serum biomarkers and novel combined indicators based on the amyloid/tau/neurodegeneration (ATN) framework to improve diagnostic and prognostic power in patients with rapidly progressive dementias (RPDs). CSF and serum biomarkers of Alzheimer's disease (AD) common neuropathology including Aβ42, Aβ40, p-Tau, and t-Tau were measured in cognitively normal (CN) controls (n = 33) and three RPD groups with rapidly progressive AD (rpAD, n = 23), autoimmune encephalitis (AE, n = 25), and Creutzfeldt-Jakob disease (CJD, n = 28). Logistic regression and multiple linear regression were used for producing combined indicators and prognostic assessment, respectively, including A&T, A&N, T&N, A&T&N, etc. RESULTS: Combined diagnostic indicator with A&T&N had the potential for differentiating AE from other types of RPDs, identifying 62.51% and 75% of AE subjects based on CSF and serum samples, respectively, compared to 39.13% and 37.5% when using autoantibodies. CSF t-Tau was associated with survival in the CJD group (adjusted R-Square = 0.16, p = 0.02), and its prognosis value improved when using combined predictors based on the ATN framework (adjusted R-Square = 0.273, p = 0.014). Combined indicators based on the ATN framework provide a novel perspective for establishing biomarkers for early recognition of RPDs due to treatment-responsive causes.

Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers.

Previous studies have applied normative modeling on a single neuroimaging modality to investigate Alzheimer Disease (AD) heterogeneity. We employed a deep learning-based multimodal normative framework to analyze individual-level variation across ATN (amyloid-tau-neurodegeneration) imaging biomarkers. We selected cross-sectional discovery (n = 665) and replication cohorts (n = 430) with available T1-weighted MRI, amyloid and tau PET. Normative modeling estimated individual-level abnormal deviations in amyloid-positive individuals compared to amyloid-negative controls. Regional abnormality patterns were mapped at different clinical group levels to assess intra-group heterogeneity. An individual-level disease severity index (DSI) was calculated using both the spatial extent and magnitude of abnormal deviations across ATN. Greater intra-group heterogeneity in ATN abnormality patterns was observed in more severe clinical stages of AD. Higher DSI was associated with worse cognitive function and increased risk of disease progression. Subject-specific abnormality maps across ATN reveal the heterogeneous impact of AD on the brain.

Clinical variables contributing to the identification of biologically defined subgroups within cognitively unimpaired and mild cognitive impairment individuals.

A lack of consensus exists in linking demographic, behavioral, and cognitive characteristics to biological stages of dementia, defined by the ATN (amyloid, tau, neurodegeneration) classification incorporating amyloid, tau, and neuronal injury biomarkers. Using a random forest classifier we investigated whether 27 demographic, behavioral, and cognitive characteristics allowed distinction between ATN-defined groups with the same cognitive profile. This was done separately for three cognitively unimpaired (CU) (112 A-T-N-; 46 A+T+N+/-; 65 A-T+/-N+/-) and three mild cognitive impairment (MCI) (128 A-T-N-; 223 A+T+N+/-; 94 A-T+/-N+/-) subgroups. Classification-balanced accuracy reached 39% for the CU and 52% for the MCI subgroups. Logical Delayed Recall (explaining 16% of the variance), followed by the Alzheimer's Disease Assessment Scale 13 (14%) and Everyday Cognition Informant (10%), were the most relevant characteristics for classification of the MCI subgroups. Race and ethnicity, marital status, and Everyday Cognition Patient were not relevant (0%). The demographic, behavioral, and cognitive measures used in our model were not informative in differentiating ATN-defined CU profiles. Measures of delayed memory, general cognition, and activities of daily living were the most informative in differentiating ATN-defined MCI profiles; however, these measures alone were not sufficient to reach high classification performance.

Exploring small non-coding RNAs as blood-based biomarkers to predict Alzheimer’s disease

BackgroundAlzheimer’s disease (AD) diagnosis relies on clinical symptoms complemented with biological biomarkers, the Amyloid Tau Neurodegeneration (ATN) framework. Small non-coding RNA (sncRNA) in the blood have emerged as potential predictors of AD. We identified sncRNA signatures specific to ATN and AD, and evaluated both their contribution to improving AD conversion prediction beyond ATN alone.MethodsThis nested case–control study was conducted within the ACE cohort and included MCI patients matched by sex. Patients free of type 2 diabetes underwent cerebrospinal fluid (CSF) and plasma collection and were followed-up for a median of 2.45-years. Plasma sncRNAs were profiled using small RNA-sequencing. Conditional logistic and Cox regression analyses with elastic net penalties were performed to identify sncRNA signatures for A+(T|N)+ and AD. Weighted scores were computed using cross-validation, and the association of these scores with AD risk was assessed using multivariable Cox regression models. Gene ontology (GO) and Kyoto encyclopaedia of genes and genomes (KEGG) enrichment analysis of the identified signatures were performed.ResultsThe study sample consisted of 192 patients, including 96 A+(T|N)+ and 96 A-T-N- patients. We constructed a classification model based on a 6-miRNAs signature for ATN. The model could classify MCI patients into A-T-N- and A+(T|N)+ groups with an area under the curve of 0.7335 (95% CI, 0.7327 to 0.7342). However, the addition of the model to conventional risk factors did not improve the prediction of AD beyond the conventional model plus ATN status (C-statistic: 0.805 [95% CI, 0.758 to 0.852] compared to 0.829 [95% CI, 0.786, 0.872]). The AD-related 15-sncRNAs signature exhibited better predictive performance than the conventional model plus ATN status (C-statistic: 0.849 [95% CI, 0.808 to 0.890]). When ATN was included in this model, the prediction further improved to 0.875 (95% CI, 0.840 to 0.910). The miRNA-target interaction network and functional analysis, including GO and KEGG pathway enrichment analysis, suggested that the miRNAs in both signatures are involved in neuronal pathways associated with AD.ConclusionsThe AD-related sncRNA signature holds promise in predicting AD conversion, providing insights into early AD development and potential targets for prevention.

Amyloid/Tau/Neurodegeneration (ATN) image‐based biomarker trajectories of Alzheimer’s disease through 5‐year longitudinal follow‐up

AbstractBackgroundTo investigate the progression of Alzheimer’s disease (AD) in image‐based Amyloid/Tau/Neurodegeneration (ATN) biomarkers through 5‐year longitudinal follow‐up.MethodAmong the participants who completed 18F‐florbetaben (FBB) for amyloid and 18F‐flortaucipir (FTP) for tau positron emission tomography (PET), and brain magnetic resonance (MR) imaging for neurodegeneration at a first visit, we enrolled the 145 participants who the studies at least twice [67 amyloid negative cognitive unimpaired (A‐CU), 10 amyloid positive cognitive unimpaired (A+CU), 68 amyloid positive cognitive impaired (A+CI)]. 70 participants completed the scans twice (25.2±3.1, months), and 75 participants completed the scans three times (57.9±7.4, months). We estimated the temporal trajectories of ATN biomarkers using a restricted cubic spline model and modified Euler method between baseline and annual change rates. The standardized uptake value ratio of FBB/FTP PET and hippocampal volume were used for representing each ATN biomarker, respectively.ResultThe FBB curve of the global cortex and AD‐specific regions reaches a plateau with a sigmoid appearance. FTP curves in the regions for Braak stages I‐II and III‐IV show similar sigmoid appearance while the global cortical and stage V‐VI tau curves show an exponential increase continuously. The hippocampal volume curve shows a linear decrease until the time point when the tau accumulation begins in the Braak stage I‐II, then decreases to a reversed sigmoid appearance.ConclusionLike the already known saturation of amyloid burden, it was also shown that the tau burden of the region for Braak stages I‐II and III‐IV saturated, but not in Braak stages V‐VI. Hippocampal atrophy seems to accelerate when tau begins to accumulate in early Braak stage regions. In future work, it is necessary to enroll patients at an advanced stage and collaborate with an international cohort.

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 &gt;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.

96 The Proportion of Patients with Cerebrospinal Fluid Biomarkers Consistent with Alzheimer’s Disease in a Cohort with Suspected Normal Pressure Hydrocephalus

Objective:Normal pressure hydrocephalus (NPH) is characterized by pathologically enlarged ventricles without elevated cerebrospinal fluid (CSF) pressure along with a triad of clinical symptoms including gait disturbances, urinary incontinence, and cognitive impairment. NPH is evaluated with lumbar drain trials (LDTs) where CSF is removed over several days to determine if patients would benefit from ventricular shunting. Candidate selection and success for these surgeries remains challenging because other diseases such as Alzheimer’s disease (AD) share common features with NPH in cognitive impairment and enlarged ventricles. Prior research has found that 20%-40% of presumed NPH cases have AD pathology as determined by brain biopsy or autopsy. CSF biomarkers of AD can be altered in NPH and are not always conclusive, complicating the interpretation of results when formulating diagnoses and prognoses. Studies to refine the analyses of AD CSF biomarkers in NPH are needed. We aimed to examine the frequency of CSF biomarker results among patients presenting for NPH evaluations with LDTs.Participants and Methods:62 patients presented for LDTs upon physician recommendations. CSF specimens were sent to Mayo Clinic Laboratories for Alzheimer Disease Evaluation (ADEVL) that utilizes Elecsys (Lenexa, KS) CSF electrochemiluminescence immunoassays (Roche Diagnostics, Basel, Switzerland) to measure levels of amyloid-beta 42 (Aβ42), total tau (t-tau), and phosphorylatedtau (p-tau), and p-tau:Aβ42 ratio. Results were classified based on interpretation through the Amyloid/Tau/Neurodegeneration (ATN) framework1: 1) AD - biomarker profile consistent with AD pathologic change, 2) non-AD profile - biomarker levels normal or inconsistent with AD pathologic change, or 3) indeterminate - biomarkers were incongruous with only one or two abnormal levels of Aβ42, t-tau, p-tau, or ptau: Aβ42. Indeterminate cases may represent altered protein levels due to CSF dynamics or AD-related pathologic change. In reviewing recent research on CSF dynamics and AD biomarkers in NPH2 a p-tau threshold of 15 pg/mL was derived and implemented such that cases with Aß42 &lt;=1026 pg/mL and p-tau &lt;15 pg/mL were designated as suspected non-AD, and those with Aß42 &lt;=1026 pg/mL and p-tau &gt;15 pg/mL were designated suspected AD.Results:Of the 62 LDT cases, 12 (19.35%) were classified as AD, 31 (50%) were indeterminate and 22 (35.48%) were non-AD. Of the 31 indeterminate cases, 21 (33.87% of the overall sample) were suspected non-AD and 7 (11.29% of the full sample) were categorized as suspected AD.Conclusions:Our findings show that 20%-30% of patients presenting for LDT showed evidence for AD-type pathologic change, consistent with prior reports of AD pathology in cases of possible NPH. Half of all LDT cases had indeterminate AD CSF biomarker results, the interpretations of which were confounded by the potential alterations of CSF biomarkers levels due to NPH independent of AD. Our findings emphasize the need to establish better approaches to interpreting CSF AD biomarkers in evaluating NPH. Future research should examine the discriminative utility of CSF AD biomarkers and the selected p-tau threshold in indeterminate cases for predicting response to LDT and shunting.

Identification of preclinical dementia according to ATN classification for stratified trial recruitment: A machine learning approach.

The Amyloid/Tau/Neurodegeneration (ATN) framework was proposed to identify the preclinical biological state of Alzheimer's disease (AD). We investigated whether ATN phenotype can be predicted using routinely collected research cohort data. 927 EPAD LCS cohort participants free of dementia or Mild Cognitive Impairment were separated into 5 ATN categories. We used machine learning (ML) methods to identify a set of significant features separating each neurodegeneration-related group from controls (A-T-(N)-). Random Forest and linear-kernel SVM with stratified 5-fold cross validations were used to optimize model whose performance was then tested in the ADNI database. Our optimal results outperformed ATN cross-validated logistic regression models by between 2.2% and 8.3%. The optimal feature sets were not consistent across the 4 models with the AD pathologic change vs controls set differing the most from the rest. Because of that we have identified a subset of 10 features that yield results very close or identical to the optimal. Our study demonstrates the gains offered by ML in generating ATN risk prediction over logistic regression models among pre-dementia individuals.

Association of Chronic Pain with Biomarkers of Neurodegeneration, Microglial Activation, and Inflammation in Cerebrospinal Fluid and Impaired Cognitive Function.

Debate surrounds the role of chronic pain as a risk factor for cognitive decline and dementia. This study aimed at examining the association of chronic pain with biomarkers of neurodegeneration using data from the Alzheimer's Disease Neuroimaging Initiative. Participants were classified using the ATN (amyloid, tau, neurodegeneration) classification. Chronic pain was defined as persistent or recurrent pain reported at baseline. For each ATN group, analysis of covariance models identified differences in cerebrospinal fluid (CSF) levels of amyloid β1-42 , phosphorylated tau 181 (ptau181 ), total tau (t-tau), soluble triggering receptor expressed on myeloid cells 2 (sTREM2), and cognitive function between chronic pain states. Differences in CSF levels of inflammatory markers between chronic pain states were further analyzed. Linear mixed effect models examined longitudinal changes. The study included 995 individuals, with 605 (60.81%) reporting chronic pain at baseline. At baseline, individuals with suspected non-Alzheimer pathophysiology and chronic pain showed increased CSF levels of t-tau and sTREM2. Chronic pain was associated with increased tumor necrosis factor α levels, irrespective of the ATN group. Longitudinally, an increase in ptau181 CSF levels was observed in chronic pain patients with negative amyloid and neurodegeneration markers. Amyloid-positive and neurodegeneration-negative chronic pain patients showed higher memory function cross-sectionally. No significant longitudinal decline in cognitive function was observed for any ATN group. Our study suggests that chronic pain induces neuronal damage and microglial activation in particular subgroups of patients along the AD spectrum. Further studies are needed to confirm these findings. ANN NEUROL 2023.

Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets

BackgroundWhile the amyloid/tau/neurodegeneration (ATN) framework has found wide application in Alzheimer’s disease research, it is unclear if thresholds obtained using distinct thresholding methods are concordant within the same dataset and interchangeable across cohorts.ObjectivesTo investigate the robustness of data-driven thresholding methods and ATN profiling across cohort datasets.Design and SettingWe evaluated the impact of thresholding methods on ATN profiles by applying five commonly-used methodologies across cohort datasets. We assessed the generalizability of disease patterns discovered within ATN profiles by clustering individuals from different cohorts who were assigned to the same ATN profile.Participants and MeasurementsParticipants with available CSF amyloid-β 1–42, phosphorylated tau, and total tau measurements were included from eleven AD cohort studies.ResultsWe observed high variability among obtained ATN thresholds, both across methods and datasets that impacted the resulting profile assignments of participants significantly. Clustering participants from different cohorts within the same ATN category indicated that identified disease patterns were comparable across most cohorts and biases introduced through distinct thresholding and data representations remained insignificant in most ATN profiles.ConlusionThresholding method selection is a decision of statistical relevance that will inevitably bias the resulting profiling and affect its sensitivity and specificity. Thresholds are likely not directly interchangeable between independent cohorts. To apply the ATN framework as an actionable and robust profiling scheme, a comprehensive understanding of the impact of used thresholding methods, their statistical implications, and a validation of results is crucial.

Head-to-head comparison of plasma and PET imaging ATN markers in subjects with cognitive complaints

BackgroundGaining more information about the reciprocal associations between different biomarkers within the ATN (Amyloid/Tau/Neurodegeneration) framework across the Alzheimer’s disease (AD) spectrum is clinically relevant. We aimed to conduct a comprehensive head-to-head comparison of plasma and positron emission tomography (PET) ATN biomarkers in subjects with cognitive complaints.MethodsA hospital-based cohort of subjects with cognitive complaints with a concurrent blood draw and ATN PET imaging (18F-florbetapir for A, 18F-Florzolotau for T, and 18F-fluorodeoxyglucose [18F-FDG] for N) was enrolled (n = 137). The β-amyloid (Aβ) status (positive versus negative) and the severity of cognitive impairment served as the main outcome measures for assessing biomarker performances.ResultsPlasma phosphorylated tau 181 (p-tau181) level was found to be associated with PET imaging of ATN biomarkers in the entire cohort. Plasma p-tau181 level and PET standardized uptake value ratios of AT biomarkers showed a similarly excellent diagnostic performance for distinguishing between Aβ+ and Aβ− subjects. An increased tau burden and glucose hypometabolism were significantly associated with the severity of cognitive impairment in Aβ+ subjects. Additionally, glucose hypometabolism – along with elevated plasma neurofilament light chain level – was related to more severe cognitive impairment in Aβ− subjects.ConclusionPlasma p-tau181, as well as 18F-florbetapir and 18F-Florzolotau PET imaging can be considered as interchangeable biomarkers in the assessment of Aβ status in symptomatic stages of AD. 18F-Florzolotau and 18F-FDG PET imaging could serve as biomarkers for the severity of cognitive impairment. Our findings have implications for establishing a roadmap to identifying the most suitable ATN biomarkers for clinical use.

Alzheimer's disease pathology: pathways between chronic vascular risk factors and blood-brain barrier dysfunction in a cohort of patients with different types of dementia.

Blood brain barrier (BBB) breakdown is considered a potential mechanism of dementia. The Alzheimer's disease (AD) biomarkers and vascular factors are also associated with BBB permeability. In the present study, the combination effects of neuropathological biomarkers of AD and chronic vascular risk factors for BBB were investigated. The cerebrospinal fluid (CSF)/serum albumin ratio (Qalb), an indicator of BBB permeability, was measured in a total of 95 hospitalized dementia patients. The demographics, clinical information, and laboratory tests were collected from the inpatient records. The CSF neuropathological biomarkers of AD and apolipoprotein E (APOE) genotype were also collected. The mediation analysis model was used to calculate the associations among neuropathological biomarkers of AD (mediator), the Qalb, and chronic vascular risk factors. Three types of dementia, AD (n = 52), Lewy body dementia (LBD, n = 19), and frontotemporal lobar degeneration (n = 24), were included with a mean Qalb of 7.18 (± 4.36). The Qalb was significantly higher in dementia patients with type 2 diabetes mellitus (T2DM, p = 0.004) but did not differ based on the presence of APOE ε4 allele, CMBs, or amyloid/tau/neurodegeneration (ATN) framework. The Qalb was negatively associated with the levels of Aβ1-42 (B = -20.775, p = 0.009) and Aβ1-40 (B = -305.417, p = 0.005) and positively associated with the presence of T2DM (B = 3.382, p < 0.001) and the levels of glycosylated hemoglobin (GHb, B = 1.163, p < 0.001) and fasting blood glucose (FBG, B = 1.443, p < 0.001). GHb is a direct chronic vascular risk factor for higher Qalb (total effect B = 1.135, 95% CI: 0.611-1.659, p < 0.001). Ratios of Aβ1-42/Aβ1-40 or t-tau/Aβ1-42 were mediators of the association between the Qalb and GHb; the direct effect of GHb on the Qalb was 1.178 (95% CI: 0.662-1.694, p < 0.001). Glucose exposure can directly or indirectly affect BBB integrity through Aβ and tau, indicating glucose affects BBB breakdown and glucose stability plays an important role in dementia protection and management.

Clinical authorization of amyloid PET in France: Towards a more precise diagnosis of Alzheimer's disease

The recent clinical authorization of amyloid PET in France represents a crucial step for the nuclear medicine community involved in the diagnosis of Alzheimer's disease (AD). At the era of ATN (Amyloid, Tau, Neurodegeneration) biomarkers, amyloid PET fills a need in patients with an atypical or mixed clinical presentation, in particular young patients (<65 years old), when the lumbar puncture is contraindicated or not feasible for technical reasons. Importantly, a negative amyloid PET scan discards the diagnosis of AD. Furthermore, early phase imaging of amyloid PET allows to estimate the perfusion neuronal state, increasing the diagnostic value of such PET radiotracer. Its role could be further developed in routine care for the selection and monitoring of promising disease modifiers therapies.

Exploring the ATN classification system using brain morphology

BackgroundThe NIA-AA proposed amyloid-tau-neurodegeneration (ATN) as a classification system for AD biomarkers. The amyloid cascade hypothesis (ACH) implies a sequence across ATN groups that patients might undergo during transition from healthy towards AD: A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+. Here we assess the evidence for monotonic brain volume decline for this particular (amyloid-conversion first, tau-conversion second, N-conversion last) and alternative progressions using voxel-based morphometry (VBM) in a large cross-sectional MRI cohort.MethodsWe used baseline data of the DELCODE cohort of 437 subjects (127 controls, 168 SCD, 87 MCI, 55 AD patients) which underwent lumbar puncture, MRI scanning, and neuropsychological assessment. ATN classification was performed using CSF-Aβ42/Aβ40 (A+/−), CSF phospho-tau (T+/−), and adjusted hippocampal volume or CSF total-tau (N+/−). We compared voxel-wise model evidence for monotonic decline of gray matter volume across various sequences over ATN groups using the Bayesian Information Criterion (including also ROIs of Braak stages). First, face validity of the ACH transition sequence A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was compared against biologically less plausible (permuted) sequences among AD continuum ATN groups. Second, we evaluated evidence for 6 monotonic brain volume progressions from A−T−N− towards A+T+N+ including also non-AD continuum ATN groups.ResultsThe ACH-based progression A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was consistent with cognitive decline and clinical diagnosis. Using hippocampal volume for operationalization of neurodegeneration (N), ACH was most evident in 9% of gray matter predominantly in the medial temporal lobe. Many cortical regions suggested alternative non-monotonic volume progressions over ACH progression groups, which is compatible with an early amyloid-related tissue expansion or sampling effects, e.g., due to brain reserve. Volume decline in 65% of gray matter was consistent with a progression where A status converts before T or N status (i.e., ACH/ANT) when compared to alternative sequences (TAN/TNA/NAT/NTA). Brain regions earlier affected by tau tangle deposition (Braak stage I-IV, MTL, limbic system) present stronger evidence for volume decline than late Braak stage ROIs (V/VI, cortical regions). Similar findings were observed when using CSF total-tau for N instead.ConclusionUsing the ATN classification system, early amyloid status conversion (before tau and neurodegeneration) is associated with brain volume loss observed during AD progression. The ATN system and the ACH are compatible with monotonic progression of MTL atrophy.Trial registrationDRKS00007966, 04/05/2015, retrospectively registered.

A multimodal pilot study of default mode network (DMN) connectivity across the lifespan in healthy volunteers using functional imaging, CSF, and plasma Alzheimer's disease biomarkers

AbstractBackgroundNormal aging is associated with decreased functional connectivity (FC) in the brain’s default mode network (DMN). Additionally, cerebral burden of both amyloid‐β (Aβ) and tau proteins further contribute to decreased DMN FC in the course of the normal aging process (Wales and Leung, 2021). However, the current literature is sparse and unclear as to the independent actions of Aβand tau on FC of DMN, with tau being associated with general hypoconnectivity (Wales and Leung, 2021). The current pilot study examines resting state fMRI (rsfMRI) data in conjunction with Alzheimer’s Amyloid/Tau/Neurodegeneration (ATN) biofluid biomarkers in healthy individuals, using the isthmus cingulate of the retrosplenial cortex as seed for FC analysis of the DMN.MethodrsfMRI scans are collected in the LifeSPAN Biobanking project [ongoing]. Scans are preprocessed utilizing standard FreeSurfer pipeline. Standard parcellations are assigned using the Desikan‐Killiany atlas. In initial analyses, isthmus cingulate served as the seed for DMN analysis using the FSFAST processing stream within FreeSurfer. ATN biomarkers are obtained from cerebrospinal fluid (CSF) and the following biomarker ratios were computed: Aβ42/Aβ40 (Aβ ratio) and phosphorylated tau‐181 (pTau181) / total Tau (tTau) (pTau181/tTau ratio).ResultIn the initial 14 participants (aged 26‐82 years) [Table 1], General Linear Models (GLMs), adjusted for age, were utilized to evaluate the associations between DMN FC and the following AD biomarkers: Aβ40, Aβ42, Aβ ratio, tTau, pTau181, and pTau181/tTau ratio [Table 2; Figure 1]. After correcting for multiple comparisons (p&lt;0.05), significant association between tTau, and the FC between the DMN and the right inferior temporal region was observed [Table 3].ConclusionThe pilot analysis indicates at least tTau has an association with DMN FC, but sample size precludes conclusion or interpretation. Preliminary data obtained in this exploratory analysis provides a framework for examining the effect of AD biomarkers on the DMN and other functional networks. Future research will incorporate synaptic, inflammatory and other markers into similar statistical models and report preliminary associations. Reference Wales R, Leung H‐C. The Effects of Amyloid and Tau on Functional Network Connectivity in Older Populations. Brain. 2021;142(8):2483‐2491. doi:10.1093/brain/awz162

Possible role for blood‐brain barrier disruption in patients with Alzheimer’s disease spectrum and non‐Alzheimer’s disease pathological changes

AbstractBackgroundThe blood‐brain barrier (BBB) breakdown has been suggested as an early marker for Alzheimer’s disease (AD); yet the relationship between BBB breakdown and AD‐specific biomarkers based on the amyloid/tau/neurodegeneration (ATN) framework, is not clear. This study aimed to investigate the relationship between BBB permeability, AD‐specific biomarkers, and cognition in patients with cognitive decline.MethodIn this prospective observational study, we enrolled 62 participants with mild cognitive impairment or dementia between January 2019 and October 2020. All participants were assessed cognitive tests, amyloid PET, dynamic contrast enhanced MRI for BBB permeability (Ktrans), CSF studies for Aβ42/40 ratio, CSF phosphorylated tau Thr181 protein (p‐tau), CSF total tau protein (t‐tau), and structural MRI for neurodegeneration.ResultCompared with the Aβ‐G, the Aβ+G had a higher median Ktrans in the frontal cortices (P = 0.049). In Aβ‐G, Ktrans was positively correlated with CSF p‐tau level in the cerebral cortex (all p &lt; 0.05 except for the occipital cortex). In Aβ+G, Ktrans of occipital cortices was related with CSF Aβ42/40 (rho = 0.403, p = 0.027), and CSF t‐tau level (rho = ‐0.404, p = 0.027), whereas, Ktrans of frontal (rho = ‐0.610, p&lt;0.001), insular (r = ‐0.400, p = 0.028), parietal (rho = ‐0.446, p = 0.013) and temporal cortices (rho = ‐ 0.435, p = 0.016) was negatively related with hippocampal volume. When adjusting age and education, neither BBB permeability nor CSF biomarkers predict cognition.ConclusionOur results suggest that the relationship between BBB permeability and ATN biomarkers is evident, more interestingly, this relationship varies with the presence of Aβ plaque accumulation.