Tangle Load Research Articles

Proteomic changes in Alzheimer’s disease associated with progressive Aβ plaque and tau tangle pathologies

Proteomics can shed light on the dynamic and multifaceted alterations in neurodegenerative disorders like Alzheimer’s disease (AD). Combining radioligands measuring β-amyloid (Aβ) plaques and tau tangles with cerebrospinal fluid proteomics, we uncover molecular events mirroring different stages of AD pathology in living humans. We found 127 differentially abundant proteins (DAPs) across the AD spectrum. The strongest Aβ-related proteins were mainly expressed in glial cells and included SMOC1 and ITGAM. A dozen proteins linked to ATP metabolism and preferentially expressed in neurons were independently associated with tau tangle load and tau accumulation. Only 20% of the DAPs were also altered in other neurodegenerative diseases, underscoring AD’s distinct proteome. Two co-expression modules related, respectively, to protein metabolism and microglial immune response encompassed most DAPs, with opposing, staggered trajectories along the AD continuum. We unveil protein signatures associated with Aβ and tau proteinopathy in vivo, offering insights into complex neural responses and potential biomarkers and therapeutics targeting different disease stages.

Astrocyte reactivity is associated with tau tangle load and cortical thinning in Alzheimer’s disease

BackgroundIt is not fully established whether plasma β-amyloid(Aβ)42/Aβ40 and phosphorylated Tau181 (p-Tau181) can effectively detect Alzheimer’s disease (AD) pathophysiology in older Chinese adults and how these biomarkers correlate with astrocyte reactivity, Aβ plaque deposition, tau tangle aggregation, and neurodegeneration.MethodsWe recruited 470 older adults and analyzed plasma Aβ42/Aβ40, p-Tau181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) using the Simoa platform. Among them, 301, 195, and 70 underwent magnetic resonance imaging, Aβ and tau positron emission tomography imaging. The plasma Aβ42/Aβ40 and p-Tau181 thresholds were defined as ≤0.0609 and ≥2.418 based on the receiver operating characteristic curve analysis using the Youden index by comparing Aβ-PET negative cognitively unimpaired individuals and Aβ-PET positive cognitively impaired patients. To evaluate the feasibility of using plasma Aβ42/Aβ40 (A) and p-Tau181 (T) to detect AD and understand how astrocyte reactivity affects this process, we compared plasma GFAP, Aβ plaque, tau tangle, plasma NfL, hippocampal volume, and temporal-metaROI cortical thickness between different plasma A/T profiles and explored their relations with each other using general linear models, including age, sex, APOE-ε4, and diagnosis as covariates.ResultsPlasma A+/T + individuals showed the highest levels of astrocyte reactivity, Aβ plaque, tau tangle, and axonal degeneration, and the lowest hippocampal volume and temporal-metaROI cortical thickness. Lower plasma Aβ42/Aβ40 and higher plasma p-Tau181 were independently and synergistically correlated with higher plasma GFAP and Aβ plaque. Elevated plasma p-Tau181 and GFAP concentrations were directly and interactively associated with more tau tangle formation. Regarding neurodegeneration, higher plasma p-Tau181 and GFAP concentrations strongly correlated with more axonal degeneration, as measured by plasma NfL, and lower plasma Aβ42/Aβ40 and higher plasma p-Tau181 were related to greater hippocampal atrophy. Higher plasma GFAP levels were associated with thinner cortical thickness and significantly interacted with lower plasma Aβ42/Aβ40 and higher plasma p-Tau181 in predicting more temporal-metaROI cortical thinning. Voxel-wise imaging analysis confirmed these findings.DiscussionThis study provides a valuable reference for using plasma biomarkers to detect AD in the Chinese community population and offers novel insights into how astrocyte reactivity contributes to AD progression, highlighting the importance of targeting reactive astrogliosis to prevent AD.

Identification of diffusion, kurtosis, and propagator MRI markers of Alzheimer’s disease pathology in post-mortem human tissue

Abstract Alzheimer’s disease (AD) is an irreversible degenerative brain disease affecting 6.7 million Americans and while the hallmark AD pathologies of plaques and tangles follow a stereotyped progression during the course of the disease, clinical markers for early diagnosis are lacking and approximately 20% of all AD cases are ultimately misdiagnosed. Conventional clinical MRI is capable of reporting severe brain atrophy, but fails to recognize earlier biomarkers associated with more subtle cellular and molecular changes. Microstructural Magnetic Resonance Imaging (MRI) techniques are promising to address this challenge and may sensitively detect and distinguish tissue degeneration, tauopathies, and beta amyloid plaques to improve accuracy of diagnosis and enable early detection. The objective of this study was to identify and compare the most promising microstructural markers of AD pathology over a range of diffusion and relaxometry-based MRI techniques from conventional to advanced. To accomplish this, we performed MRI microscopy of post-mortem human temporal lobe specimens (n = 14) at high resolution and image quality and evaluated the relative influence of metrics across multiple microstructural MRI frameworks using principal component analysis (PCA). We performed additional correlation analysis between metrics identified by PCA and clinical neuropathology scores of Braak stage and plaque and tangle load. Hippocampal diffusion and restriction metrics contributed most to the first principal component, and the correlation with Braak score was positive for diffusivity and negative for restriction metrics. Additionally, the MAP-MRI propagator anisotropy (PA) metric of microscale anisotropy was strongly and negatively correlated with AD pathology while the conventional fractional anisotropy (FA) metric showed little or no correspondence and there was not a strong association between FA and PA by PCA. Entorhinal cortex findings were minimal except for reported increases in restriction due to plaque content. Taken together, our findings suggest that microstructural MRI metrics of restriction and diffusion are most prominent and may reflect degenerative processes in AD brain tissue and that microscale anisotropy may be more advantageous than conventional FA for the detection of subtle and earlier cellular changes in AD.

The fluorescent ligand bTVBT2 reveals increased p-tau uptake by retinal microglia in Alzheimer's disease patients and AppNL-F/NL-F mice.

Amyloid beta (Aβ) deposits and hyperphosphorylated tau (p-tau) accumulation have been identified in the retina of Alzheimer's disease (AD) patients and transgenic AD mice. Previous studies have shown that retinal microglia engulf Aβ, but this property decreases in AD patients. Whether retinal microglia also take up p-tau and if this event is affected in AD is yet not described. In the current study, we use the p-tau-specific thiophene-based ligand bTVBT2 to investigate the relationship between disease progression and p-tau uptake by microglia in the retina of AD patients and AppNL-F/NL-F knock-in mice, an AD mouse model known to demonstrate extracellular Aβ plaques and dystrophic neurites in the brain from 6months of age. Evaluation of bTVBT2 specificity and its presence within microglia was assessed by immunofluorescent staining of hippocampal sections and flat-mount retina samples from non-demented controls, AD patients, 3-, 9-, and 12-month-old AppNL-F/NL-F knock-in mice and 12- and 18-month-old wild type (WT) mice. We used ImageJ to analyze the amount of bTVBT2 inside Iba1-positive microglia. Co-localization between the ligand and p-tau variant Ser396/Ser404 (PHF-1), Aβ, phosphorylated TAR DNA binding protein 43 (pTDP-43), and islet amyloid polypeptide (IAPP) in the brain and retina was analyzed using confocal imaging. Confocal imaging analysis showed that bTVBT2 binds to PHF-1- and AT8-positive aggregates inside retinal microglia, and not to Aβ, pTDP-43, or IAPP. The density of bTVBT2-positive microglia was higher in cases with a high Aβ load compared to those with a low Aβ load. This density correlated with the neurofibrillary tangle load in the brain, but not with retinal levels of high molecular weight (aggregated) Aβ40 or Aβ42. Analysis of AppNL-F/NL-F knock-in mouse retina further showed that 50% of microglia in 3-month-old AppNL-F/NL-F knock-in mice contained bTVBT2. The percentage significantly increased in 9- and 12-month-old mice. Our study suggests that the microglial capability to uptake p-tau in the retina persists and intensifies with AD progression. These results also highlight bTVBT2 as a ligand of interest in future monitoring of retinal AD pathology.

A Stable Micellar Formulation of RAD001 for Intracerebroventricular Delivery and the Treatment of Alzheimer's Disease and Other Neurological Disorders.

A large body of evidence, replicated in many mouse models of Alzheimer's disease (AD), supports the therapeutic efficacy of the oral mammalian target of rapamycin inhibitors (mTOR-Is). Our preliminary data show that intracerebroventricular (ICV) administration of everolimus (RAD001) soon after clinical onset greatly diminished cognitive impairment and the intracellular beta amyloid and neurofibrillary tangle load. However, RAD001 shows >90% degradation after 7 days in solution at body temperature, thus hampering the development of proper therapeutic regimens for patients. To overcome such a drawback, we developed a stable, liquid formulation of mTOR-Is by loading RAD001 into distearoylphosphatidylethanolamine-polyethylene glycol 2000 (DSPE-PEG2000) micelles using the thin layer evaporation method. The formulation showed efficient encapsulation of RAD001 and a homogeneous colloidal size and stabilised RAD001, with over 95% of activity preserved after 14 days at 37 °C with a total decay only occurring after 98 days. RAD001-loaded DSPE-PEG2000 micelles were unchanged when stored at 4 and 25 °C over the time period investigated. The obtained formulation may represent a suitable platform for expedited clinical translation and effective therapeutic regimens in AD and other neurological diseases.

Uncovering distinct spatial‐temporal trajectories of Lewy‐type α‐synuclein pathology: a Subtype and Stage Inference model analysis

AbstractBackgrounda‐synuclein aggregation is a pathologic hallmark of several Lewy body disorders with differing symptoms. This symptom heterogeneity may be due to varying underlying disease trajectories. Here, we use a data‐driven approach to identify and characterize distinct spatial‐temporal progression patterns of α‐synuclein deposition.MethodThe Subtype and Stage Inference (SuStaIn) model evaluates the optimal grouping of individuals into subtypes with distinct orderings of events/stages. We applied Ordinal SuStaIn to post‐mortem Lewy‐type α‐synuclein (LTS) density scores measured in 10 regions (including olfactory bulb and tract [OBT], limbic, brainstem, and cortical regions) of 814 subjects from the Sun Health Research Institute Brain Donation Program (Table‐1). The optimal SuStaIn model was selected according to the Cross‐Validation Information Criteria. We selected 781 subjects with stage>0 (n excluded = 13) and subtype probability>50% (n excluded = 20) to assess differences in subtypes. Hierarchical multinomial logistic regressions were performed to compare subtypes on (1) age at death, sex, APOE‐e4 copies, and post‐mortem interval; (2) total amyloid plaque load; and (3) total tau tangle load. In a subset of individuals (n = 355), we additionally compared subtypes on MMSE scores and the motor section of the Unified Parkinson Disease Rating Scale (UPDRS). All models were adjusted for SuStaIn stage and significant predictors of preceding models.ResultSuStaIn identified three subtypes with distinct LTS trajectories, which we termed “OBT/Limbic‐first”, “OBT/Brainstem‐first”, and “OBT‐sparing/Brainstem‐first” based on the first regions to show deposition (Figure‐1). The majority of individuals were assigned to OBT/Limbic‐first (N = 475,60.8%), followed by OBT/Brainstem‐first (N = 165,21.1%), and OBT‐sparing/Brainstem‐first (N = 141,18.1%) subtypes (Table‐1). We observed a higher frequency of homozygous APOE‐e4 carriers and amyloid and tau burden in the OBT/Limbic‐first subtype compared to the OBT/Brainstem‐first (ßAPOE ‐e4 = 0.82±0.40, pAPOE‐e4 = .042; ßamyloid= 0.08±0.42, pamyloid<.001; ßtau= 0.17±0.03, ptau<.001) and OBT‐sparing/Brainstem‐first (ßAPOE‐e4 = 0.98±0.48, pAPOE‐e4 = .042; ßamyloid= 0.14±0.27, pamyloid<.001; ßtau= 0.18±0.03, ptau<.001) subtypes. In addition, the OBT/Brainstem‐first subtype showed a higher amyloid burden (ß = 0.06±0.02, p = .012) and higher MMSE (ß = 0.08±0.04, p = 0.030) compared to the OBT‐sparing/Brainstem‐first (Table‐1, Figure‐2).ConclusionIn this large post‐mortem SuStaIn study, we identified three subtypes of α‐synuclein deposition, possibly reflecting different epicenters and spreading trajectories of misfolded α‐synuclein, where OBT/Limbic‐first was associated with Alzheimer’s co‐pathology. Follow‐up work will study how these subtypes differ in clinical diagnosis and symptomatology.

Uncovering distinct spatial‐temporal trajectories of Lewy‐type α‐synuclein pathology: a Subtype and Stage Inference model analysis

AbstractBackgrounda‐synuclein aggregation is a pathologic hallmark of several Lewy body disorders with differing symptoms. This symptom heterogeneity may be due to varying underlying disease trajectories. Here, we use a data‐driven approach to identify and characterize distinct spatial‐temporal progression patterns of a‐synuclein deposition.MethodThe Subtype and Stage Inference (SuStaIn) model evaluates the optimal grouping of individuals into subtypes with distinct orderings of events/stages. We applied Ordinal SuStaIn to post‐mortem Lewy‐type a‐synuclein (LTS) density scores measured in 10 regions (including olfactory bulb and tract [OBT], limbic, brainstem, and cortical regions) of 814 subjects from the Sun Health Research Institute Brain Donation Program (Table‐1). The optimal SuStaIn model was selected according to the Cross‐Validation Information Criteria. We selected 781 subjects with stage>0 (nexcluded = 13) and subtype probability>50% (nexcluded = 20) to assess differences in subtypes. Hierarchical multinomial logistic regressions were performed to compare subtypes on (1) age at death, sex, APOE‐e4 copies, and post‐mortem interval; (2) total amyloid plaque load; and (3) total tau tangle load. In a subset of individuals (n = 355), we additionally compared subtypes on MMSE scores and the motor section of the Unified Parkinson Disease Rating Scale (UPDRS). All models were adjusted for SuStaIn stage and significant predictors of preceding models.ResultSuStaIn identified three subtypes with distinct LTS trajectories, which we termed “OBT/Limbic‐first”, “OBT/Brainstem‐first”, and “OBT‐sparing/Brainstem‐first” based on the first regions to show deposition (Figure‐1). The majority of individuals were assigned to OBT/Limbic‐first (N = 475,60.8%), followed by OBT/Brainstem‐first (N = 165,21.1%), and OBT‐sparing/Brainstem‐first (N = 141,18.1%) subtypes (Table‐1). We observed a higher frequency of homozygous APOE‐e4 carriers and amyloid and tau burden in the OBT/Limbic‐first subtype compared to the OBT/Brainstem‐first (ßAPOE‐e4 = 0.82±0.40, pAPOE‐e4 = .042; ßamyloid = 0.08±0.42, pamyloid<.001; ßtau = 0.17±0.03, ptau<.001) and OBT‐sparing/Brainstem‐first (ßAPOE‐e4 = 0.98±0.48, pAPOE‐e4 = .042; ßamyloid = 0.14±0.27, pamyloid<.001; ßtau = 0.18±0.03, ptau<.001) subtypes. In addition, the OBT/Brainstem‐first subtype showed a higher amyloid burden (ß = 0.06±0.02, p = .012) and higher MMSE (ß = 0.08±0.04, p = 0.030) compared to the OBT‐sparing/Brainstem‐first (Table‐1, Figure‐2).ConclusionIn this large post‐mortem SuStaIn study, we identified three subtypes of a‐synuclein deposition, possibly reflecting different epicenters and spreading trajectories of misfolded a‐synuclein, where OBT/Limbic‐first was associated with Alzheimer’s co‐pathology. Follow‐up work will study how these subtypes differ in clinical diagnosis and symptomatology.

Interactions between vascular burden and amyloid-β pathology on trajectories of tau accumulation.

Cerebrovascular pathology often co-exists with Alzheimer's disease pathology and can contribute to Alzheimer's disease-related clinical progression. However, the degree to which vascular burden contributes to Alzheimer's disease pathological progression is still unclear. This study aimed to investigate interactions between vascular burden and amyloid-β pathology on both baseline tau tangle load and longitudinal tau accumulation. We included 1229 participants from the Swedish BioFINDER-2 Study, including cognitively unimpaired and impaired participants with and without biomarker-confirmed amyloid-β pathology. All underwent baseline tau-PET (18F-RO948), and a subset (n = 677) underwent longitudinal tau-PET after 2.5 ± 1.0 years. Tau-PET uptake was computed for a temporal meta-region-of-interest. We focused on four main vascular imaging features and risk factors: microbleeds; white matter lesion volume; stroke-related events (infarcts, lacunes and haemorrhages); and the Framingham Heart Study Cardiovascular Disease risk score. To validate our in vivo results, we examined 1610 autopsy cases from an Arizona-based neuropathology cohort on three main vascular pathological features: cerebral amyloid angiopathy; white matter rarefaction; and infarcts. For the in vivo cohort, primary analyses included age-, sex- and APOE ɛ4-corrected linear mixed models between tau-PET (outcome) and interactions between time, amyloid-β and each vascular feature (predictors). For the neuropathology cohort, age-, sex- and APOE ɛ4-corrected linear models between tau tangle density (outcome) and an interaction between plaque density and each vascular feature (predictors) were performed. In cognitively unimpaired individuals, we observed a significant interaction between microbleeds and amyloid-β pathology on greater baseline tau load (β = 0.68, P < 0.001) and longitudinal tau accumulation (β = 0.11, P < 0.001). For white matter lesion volume, we did not observe a significant independent interaction effect with amyloid-β on tau after accounting for microbleeds. In cognitively unimpaired individuals, we further found that stroke-related events showed a significant negative interaction with amyloid-β on longitudinal tau (β = -0.08, P < 0.001). In cognitively impaired individuals, there were no significant interaction effects between cerebrovascular and amyloid-β pathology at all. In the neuropathology dataset, the in vivo observed interaction effects between cerebral amyloid angiopathy and plaque density (β = 0.38, P < 0.001) and between infarcts and plaque density (β = -0.11, P = 0.005) on tau tangle density were replicated. To conclude, we demonstrated that cerebrovascular pathology-in the presence of amyloid-β pathology-modifies tau accumulation in early stages of Alzheimer's disease. More specifically, the co-occurrence of microbleeds and amyloid-β pathology was associated with greater accumulation of tau aggregates during early disease stages. This opens the possibility that interventions targeting microbleeds may attenuate the rate of tau accumulation in Alzheimer's disease.

Specific associations between plasma biomarkers and postmortem amyloid plaque and tau tangle loads

Several promising plasma biomarkers for Alzheimer's disease have been recently developed, but their neuropathological correlates have not yet been fully determined. To investigate and compare independent associations between multiple plasma biomarkers (p‐tau181, p‐tau217, p‐tau231, Aβ42/40, GFAP, and NfL) and neuropathologic measures of amyloid and tau, we included 105 participants from the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND) with antemortem plasma samples and a postmortem neuropathological exam, 48 of whom had longitudinal p‐tau217 and p‐tau181. When simultaneously including plaque and tangle loads, the Aβ42/40 ratio and p‐tau231 were only associated with plaques (ρAβ42/40[95%CI] = −0.53[−0.65, −0.35], ρp‐tau231[95%CI] = 0.28[0.10, 0.43]), GFAP was only associated with tangles (ρGFAP[95%CI] = 0.39[0.17, 0.57]), and p‐tau217 and p‐tau181 were associated with both plaques (ρp‐tau217[95%CI] = 0.40[0.21, 0.56], ρp‐tau181[95%CI] = 0.36[0.15, 0.50]) and tangles (ρp‐tau217[95%CI] = 0.52[0.34, 0.66]; ρp‐tau181[95%CI] = 0.36[0.17, 0.52]). A model combining p‐tau217 and the Aβ42/40 ratio showed the highest accuracy for predicting the presence of Alzheimer's disease neuropathological change (ADNC, AUC[95%CI] = 0.89[0.82, 0.96]) and plaque load (R2 = 0.55), while p‐tau217 alone was optimal for predicting tangle load (R2 = 0.45). Our results suggest that high‐performing assays of plasma p‐tau217 and Aβ42/40 might be an optimal combination to assess Alzheimer's‐related pathology in vivo.

The Association of Age-Related and Off-Target Retention with Longitudinal Quantification of [18F]MK6240 Tau PET in Target Regions.

6-(fluoro-18F)-3-(1H-pyrrolo[2,3-c]pyridin-1-yl)isoquinolin-5-amine ([18F]MK6240) tau PET tracer quantifies the brain tau neurofibrillary tangle load in Alzheimer disease. The aims of our study were to test the stability of common reference region estimates in the cerebellum over time and across diagnoses and evaluate the effects of age-related and off-target retention on the longitudinal quantification of [18F]MK6240 in target regions. Methods: We assessed reference, target, age-related, and off-target regions in 125 individuals across the aging and Alzheimer disease spectrum with longitudinal [18F]MK6240 SUVs and SUV ratios (SUVRs) (mean ± SD, 2.25 ± 0.40 y of follow-up). We obtained SUVR from meninges, exhibiting frequent off-target retention with [18F]MK6240. Additionally, we compared tracer uptake between 37 cognitively unimpaired young (CUY) (mean age, 23.41 ± 3.33 y) and 27 cognitively unimpaired older (CU) adults (amyloid-β-negative and tau-negative, 58.50 ± 9.01 y) to identify possible nonvisually apparent, age-related signal. Two-tailed t testing and Pearson correlation testing were used to determine the difference between groups and associations between changes in region uptake, respectively. Results: Inferior cerebellar gray matter SUV did not differ on the basis of diagnosis and amyloid-β status, cross-sectionally and over time. [18F]MK6240 uptake significantly differed between CUY and CU adults in the putamen or pallidum (affecting ∼75% of the region) and in the Braak II region (affecting ∼35%). Changes in meningeal and putamen or pallidum SUVRs did not significantly differ from zero, nor did they vary across diagnostic groups. We did not observe significant correlations between longitudinal changes in age-related or meningeal off-target retention and changes in target regions, whereas changes in all target regions were strongly correlated. Conclusion: Inferior cerebellar gray matter was similar across diagnostic groups cross-sectionally and stable over time and thus was deemed a suitable reference region for quantification. Despite not being visually perceptible, [18F]MK6240 has age-related retention in subcortical regions, at a much lower magnitude but topographically colocalized with significant off-target signal of the first-generation tau tracers. The lack of correlation between changes in age-related or meningeal and target retention suggests little influence of possible off-target signals on longitudinal tracer quantification. Nevertheless, the age-related retention in the Braak II region needs to be further investigated. Future postmortem studies should elucidate the source of the newly reported age-related [18F]MK6240 signal, and invivo studies should further explore its impact on tracer quantification.

OS02.5.A Alzheimer-type neuropathological changes in glioblastoma-adjacent cortex

Abstract Background Glioblastoma (GBM) is an aggressive type of brain cancer that is prevalent and fatal in the elderly. Age is not only the most common risk factor for brain cancer but also for neurodegenerative diseases, and previous studies have indicated an excess risk of co-occurrence of both diseases. Here, we aim to map Alzheimer (AD)-related pathology in GBM-adjacent cortex. Material and Methods To this end, we have screened a cohort of 99 individuals with 200 tissue samples comprising tumor and adjacent cortex, including longitudinal samples in 13 patients. The samples were provided by the Division of Neuropathology and Neurochemistry, Medical University of Vienna from 2002 to 2021. Age and tumor location were abstracted from clinical data where available. All samples were stained for A-beta, tau-AT8 and NeuN using immunohistochemistry. Whole slide scans were segmented and protein deposits were quantified with QuPath. Further statistical analyses were conducted with R. Tau pathology was recorded as neurofibrillary tangles, neuropil threads, and astroglial pathology. Likewise, amyloid pathology was assessed as plaques and/or cerebral amyloid angiopathy (CAA). For both proteins, deposits were grouped into: absent, mild, moderate, and severe. Results In the total cohort, median age was 67.5 ys (range 20-92 ys), the female-to-male ratio 0.68. Overall 44.4 % (n=44/99) showed any type of A-beta and/or taupathology, which was strongly correlated with age (R=0.26, p= 0.001). Among them, 38.6 % (n=17/44) had combined pathology, while 36.4 % (n=16/44) displayed pure amyloid-beta, and 25 % (n=11/44) only tau pathology. A-beta pathology comprised plaques in 74.4 % (n=29/39) and CAA in 28.2 % (n=11/29). Consistent with the spatiotemporal evolution of AD, neurofibrillary tangle load was highest in the temporal lobe (42.9 % n=21/49), while plaque load was most prevalent in the occipital lobe (62.5 % n=5/8). This pattern was accentuated in patients above age 65, while it deviated in those below age 65. Over time, the AD-type pathology increased in 38.4 % (n=5/13) and remained stable in 53.8 % (n=7/13) of recurrent tumors. Total cell densities in tumor-infiltrated cortex ranged from 474 to 7,540 cells/mm2, being similar across all lobes. Higher cell density correlated with decreased neuronal counts (R= -0.46, p&amp;lt;0.0001) and decreased AD-load (R= -0.25, p= 0.002). Conclusion Collectively, our results establish frequent co-occurrence of Alzheimer disease neuropathological changes in the GBM-adjacent cortex. They prompt further investigation of shared pathogenic mechanisms and seek to raise awareness for synergistic effects on cognitive decline.

Associating Alzheimer’s disease pathology with its cerebrospinal fluid biomarkers

Alzheimer's disease CSF biomarkers 42 amino acid long amyloid-β peptide (Aβ1-42), total tau protein (T-tau), and tau protein phosphorylated at threonine 181 (P-tau181) are considered surrogate biomarkers of Alzheimer's disease pathology, and significantly improve diagnostic accuracy. Their ability to reflect neuropathological changes later in the disease course is not well characterized. This study aimed to assess the potential of CSF biomarkers measured in mid to late stage Alzheimer's disease to reflect post-mortem neuropathological changes. Individuals were selected from two autopsy cohorts of Alzheimer's disease patients in Antwerp and Amsterdam. Neuropathological diagnosis was performed according to the updated consensus National Institute on Aging-Alzheimer's Association guidelines, which includes quantification of amyloid-β plaque, neurofibrillary tangle, and neuritic plaque load. CSF samples were analysed for Aβ1-42, T-tau, and P-tau181 by ELISA. One hundred and fourteen cases of pure definite Alzheimer's disease were included in the study (mean age 74 years, disease duration 6 years at CSF sampling, 50% females). Median interval between CSF sampling and death was 1 year. We found no association between Aβ1-42 and Alzheimer's disease neuropathological change profile. In contrast, an association of P-tau181 and T-tau with Alzheimer's disease neuropathological change profile was observed. P-tau181 was associated with all three individual Montine scores, and the associations became stronger and more significant as the interval between lumbar puncture and death increased. T-tau was also associated with all three Montine scores, but in individuals with longer intervals from lumbar puncture to death only. Stratification of the cohort according to APOE ε4 carrier status revealed that the associations applied mostly to APOE ε4 non-carriers. Our data suggest that similar to what has been reported for Aβ1-42, plateau levels of P-tau181 and T-tau are reached during the disease course, albeit at later disease stages, reducing the potential of tau biomarkers to monitor Alzheimer's disease pathology as the disease progresses. As a consequence, CSF biomarkers, which are performant for clinical diagnosis of early Alzheimer's disease, may not be well suited for staging or monitoring Alzheimer's disease pathology as it progresses through later stages.

Phase II (NAVIGATE-AD study) Results of LY3202626 Effects on Patients with Mild Alzheimer's Disease Dementia.

Background:LY3202626 is a small molecule inhibitor of β-site amyloid precursor protein cleaving enzyme (BACE)1 shown to reduce amyloid-β (Aβ)1–40 and Aβ1–42 concentrations in plasma and cerebrospinal fluid developed for the treatment of Alzheimer’s disease (AD).Objective:To assess the change from baseline in flortaucipir positron emission tomography (PET) after treatment with LY3202626 compared with placebo in patients with mild AD dementia.Methods:Patients received daily 3 mg or 12 mg doses of LY3202626 or placebo for 52 weeks. The primary outcome was assessment of cerebral neurofibrillary tangle load by flortaucipir PET. The study was terminated early following an interim analysis due to a low probability of identifying a statistically significant slowing of cognitive and/or functional decline.Results:A total of 316 patients were randomized and 47 completed the study. There was no statistically significant difference between placebo and either dose of LY3202626 from baseline to 52 weeks, or in annualized change for flortaucipir PET. There was no clinically meaningful difference between placebo and LY3202626 doses on efficacy measures of cognition and function. No deaths or serious adverse events considered related to LY3202626 were reported. A statistically significant increase in treatment-emergent adverse events in the psychiatric disorders system organ class was reported for both LY3202626 doses compared to placebo.Conclusion:LY3202626 tested at doses generating 70–90% BACE inhibition was generally well tolerated in this study. LY3202626 treatment did not result in a clinically significant change in cerebral tau burden as measured by flortaucipir nor in change of functional or cognitive decline compared to placebo.

Quantifying the synaptic vesicle‐associated protein, VAMP2, to verify changes in cerebrospinal fluid in preclinical stages of Alzheimer’s disease

AbstractBackgroundSynapse loss, a pathological hallmark of Alzheimer’s disease (AD), is quantified in the brain using synaptophysin in western blot and immunohistochemistry, while the in vivo imaging compound 11C‐UCB‐J targets synaptic vesicle glycoprotein 2A (SV2A). Both proteins are characteristic of synaptic vesicles (SVs) and are found in the majority of synapses. Since synaptophysin is not stable in CSF or serum, it is not a suitable marker to monitor synaptic integrity in fluids (Schlaf et al., 1998). Vesicle‐associated membrane protein 2 (VAMP2), another SV component critical for vesicular trafficking, was identified as potential fluid surrogate for synapse loss using relative quantification (Lleo et al., 2019). Here, we have developed a new digital immunoassay for VAMP2 and evaluated its CSF profile in 226 samples from the AD continuum. For comparison the more established post‐synaptic marker Neurogranin (Ng) was included, which is expressed in dendrites of excitatory glutaminergic neurons.MethodThe immunoassay (Simoa) for VAMP2 was established using a commercial rabbit mAb and a novel high‐affinity mouse mAb 15E4. CSF was measured in duplicate on the HD‐1 analyzer across cognitively normal controls (n=68), preclinical AD stage 1 (Amyloidosis +, n=31), preclinical AD stage 2 (Amyloidosis +, neurodegeneration +, n=8), prodromal AD (n=80) and AD dementia (n=39). Ng was quantified with ELISA (EUROIMMUN).ResultThe assay was able to quantify VAMP2 in all CSF samples with an average CV below 10%. Three quality control samples had an inter‐/intra‐assay variability below 10%. VAMP2 levels correlated strongly with Ng in all AD stages (r=0.78‐0.96, p&lt;0.0001). VAMP2 (p&lt;0.0001) and Ng (p&lt;0.0001) were decreased by 40% in preclinical AD stage 1. They were both elevated in the prodromal (VAMP2 25%, p=0.0009; Ng 70%, p&lt;0.0001) and dementia group (VAMP2 25%, p=0.014; Ng 50%, p&lt;0.0001).ConclusionA novel immunoassay for VAMP2 is capable of detecting changes in different AD stages. CSF changes in VAMP2 and Ng precede clinical symptoms and CSF neurodegeneration markers in the AD continuum. In line with observations that CSF‐tau and CSF‐Aβ abnormality precede plaque and tangle load via PET imaging, future longitudinal studies relating synaptic fluid markers with synaptic PET ligands (i.e. 11C‐UCB‐J) could extend these findings.

Epigenetic measurement of biological age associates with tau load in normal brain aging

AbstractBackgroundAging is the most established risk factor for sporadic Alzheimer’s Disease (AD). However, relative risk of AD varies greatly across individuals. One potential explanation for this heterogeneity is that chronological age may not reflect differences in biological aging. One measure of biological age is the “epigenetic clock” which utilizes a weighted statistical model from &gt;350 CpG sites that captures the cumulative work of an individual’s epigenetic maintenance system and has been demonstrated to relate to age, mortality, and survival. In this study, we test the hypothesis that the epigenetic clock will be related to two regional brain aging signatures associated with AD, including neurofibrillary tau tangle (NFTs) load and reduced cortical thickness.MethodsWe evaluated 40 cognitively normal, amyloid‐negative (PET‐Aβ &lt;= 1.11) individuals from the Alzheimer’s Disease Neuroimaging Initiative dataset with DNA methylation, 18F‐Flortaucipr PET, and volumetric MRI data. 18F‐Flortaucipr PET and volumetric MRI data were processed using ANTs Cortical Thickness in 100 neocortical regions of interest (ROI) from the BrainColor/MindBoggle parcellation. 18F‐Flortaucipr PET and T1‐weighted MRI data was additionally processed using ASHS to derive 12 hippocampal subfield parcellations. Regression analyses related chronological age and Horvath’s “epigenetic clock” measurement of biological age to 18F‐Flortaucipr SUVR, mean cortical thickness, and hippocampal subfield volumes.ResultsIn healthy adults, we observed a positive association with increasing epigenetic age related to increased tau SUVR in the entorhinal cortex and the hippocampus (p = 0.029, R = 0.36; p = 0.028, R = 0.397). There was no association of epigenetic age with any of the neocortical tau SUVR ROIs and chronological age was not associated with tau SUVR in any of the hippocampal subfields or neocortical ROIs. In contrast, both epigenetic age and chronological age both trended toward associations of reduced cortical thickness in the neocortex.ConclusionsThis study suggests that epigenetic changes that occur with age may provide a risk factor for tau accumulation, more so than chronological age, and that is more tightly linked with age‐related tau pathological accumulation than age‐related cortical neurodegeneration.

The genetic association between ACE1 and Alzheimer’s disease

AbstractBackground ACE1 is a reported risk gene for Alzheimer’s disease (AD), highlighted by several meta‐analysis and recent GWAS studies (Marioni et al., 2018; Kunkle et al., 2019) . ACE1 encodes angiotensin II converting enzyme‐1 (ACE‐1), a rate‐limiting enzyme in the classical renin‐angiotensin system (cRAS) and is overactivated in AD (Miners et al., 2008, Miners et al., 2009). ACE‐1 generates Ang‐II, itself elevated in AD, and is increased in relation to parenchymal Aβ load. We investigated the relationship between the ACE1 variant (rs4343) (Abdollahi et al., 2008) (a proxy marker for the more commonly studied indel polymorphism) and Aβ plaque and tau tangle load (assessed by IHC) and levels of Aβ40 and Aβ42 (soluble and insoluble) and Ang‐II level, measured by ELISA.MethodWe studied a total cohort of 318 dementia cases (AD, Mixed AD and vascular dementia) and 116 controls from the South West Dementia Brain Bank, University of Bristol, UK. The ACE1 indel proxy polymorphism, rs4343, was genotyped using PCR based method. The A and G alleles for rs4343 are equivalent to the insertion and deletion variation in ACE1, respectively. Parenchymal Aβ plaque and tau tangle load was quantified by computer‐assisted field fraction analysis in the frontal and parietal cortex for 134 AD and Mixed dementia cases. Aβ40 and Aβ42, and Ang‐II level, was also measured by ELISA in 254 dementia cases and controls. We performed logistic regression to determine the association between ACE1 genotype and AD and non‐parametric Mann‐Whitney U test to determine the association between ACE1 genotype and Aβ and tau pathology.ResultG/G homozygotes were associated with reduced risk of AD and Mixed dementia (p = 0.037). AD and Mixed dementia cases with the G/G genotype also had significantly lower (p = 0.0109) parenchymal Aβ load in the frontal cortex compared with A/A and A/G genotypes, but this was not evident in the parietal cortex. We will further explore the relationship between rs4343 variants and levels of Aβ (soluble and insoluble) and Ang‐II and examine the potential interaction with tau pathology.ConclusionOur initial findings indicate that the ACE1 rs4343 polymorphism may associate with both AD risk and AD‐related Aβ pathology.

In vivo synaptic density loss is related to tau deposition in amnestic mild cognitive impairment.

To investigate in vivo whether synaptic loss and neurofibrillary tangle load spatially overlap and correlate with clinical symptoms in patients with amnestic mild cognitive impairment (aMCI). In this cross-sectional study, 10 patients with aMCI and 10 healthy controls underwent triple PET-MRI with 11C-UCB-J (synaptic vesicle protein 2A), 18F-MK-6240 (tau deposition), and 11C-Pittsburgh compound B (β-amyloid) and neuropsychological assessment. Gray matter atrophy was assessed by voxel-based morphometry with T1-weighted MRIs. Voxel-wise and volume-of-interest analyses were conducted on PET data. The interrelationship of synaptic density and tau deposition was investigated. We also investigated correlations of 18F-MK-6240 and 11C-UCB-J binding with cognitive performance. Compared to controls, patients with aMCI showed a decreased 11C-UCB-J binding mainly in substructures of the medial temporal lobe (MTL; 48%-51%, p cluster = 0.02). Increased 18F-MK6240 binding in the same region was observed (42%-44%, p cluster = 0.0003), spreading to association cortices. In the MTL, higher 18F-MK-6240 binding inversely related to lower 11C-UCB-J binding (p = 0.02, r = -0.76). Decreased performance on cognitive tests was associated with both increased 18F-MK-6240 and decreased 11C-UCB-J binding in the hippocampus (p < 0.01, r > 0.7), although in a multivariate analysis only 18F-MK-6240 binding was significantly related to cognitive performance. Patients with aMCI have high tau deposition and synaptic density loss mainly in key regions known to be involved in early cognitive impairment, indicating that these are interrelated in the MTL, while tau binding had already spread toward association cortices. Longitudinal data are needed to provide further insight into the temporal aspects of this relationship.

The relationships between neuroinflammation, beta-amyloid and tau deposition in Alzheimer\u2019s disease: a longitudinal PET study

BackgroundThe aim of this longitudinal study was to assess with positron emission tomography (PET) the relationship between levels of inflammation and the loads of aggregated β-amyloid and tau at baseline and again after 2 years in prodromal Alzheimer's disease.MethodsForty-three subjects with mild cognitive impairment (MCI) had serial 11C-PK11195 PET over 2 years to measure inflammation changes, and 11C-PiB PET to determine β-amyloid fibril load; 22 also had serial 18F-Flortaucipir PET to determine tau tangle load. Cortical surface statistical mapping was used to localise areas showing significant changes in tracer binding over time and to interrogate correlations between tracer binding of the tracers at baseline and after 2 years.ResultsThose MCI subjects with high 11C-PiB uptake at baseline (classified as prodromal Alzheimer’s disease) had raised inflammation levels which significantly declined across cortical regions over 2 years although their β-amyloid levels continued to rise. Those MCI cases who had low/normal 11C-PiB uptake at baseline but their levels then rose over 2 years were classified as prodromal AD with low Thal phase 1-2 amyloid deposition at baseline. They showed levels of cortical inflammation which correlated with their rising β-amyloid load. Those MCI cases with baseline low 11C-PiB uptake that remained stable were classified as non-AD, and they showed no correlated inflammation levels. Finally, MCI cases which showed both high 11C-PiB and 18F-Flortaucipir uptake at baseline (MCI due to AD) showed a further rise in their tau tangle load over 2 years with a correlated rise in levels of inflammation.ConclusionsOur baseline and 2-year imaging findings are compatible with a biphasic trajectory of inflammation in Alzheimer’s disease: MCI cases with low baseline but subsequently rising β-amyloid load show correlated levels of microglial activation which then later decline when the β-amyloid load approaches AD levels. Later, as tau tangles form in β-amyloid positive MCI cases with prodromal AD, the rising tau load is associated with higher levels of inflammation.

In vivo quantification of neurofibrillary tangles with [18F]MK-6240

BackgroundImaging agents capable of quantifying the brain’s tau aggregates will allow a more precise staging of Alzheimer’s disease (AD). The aim of the present study was to examine the in vitro properties as well as the in vivo kinetics, using gold standard methods, of the novel positron emission tomography (PET) tau imaging agent [18F]MK-6240.MethodsIn vitro properties of [18F]MK-6240 were estimated with autoradiography in postmortem brain tissues of 14 subjects (seven AD patients and seven age-matched controls). In vivo quantification of [18F]MK-6240 binding was performed in 16 subjects (four AD patients, three mild cognitive impairment patients, six healthy elderly individuals, and three healthy young individuals) who underwent 180-min dynamic scans; six subjects had arterial sampling for metabolite correction. Simplified approaches for [18F]MK-6240 quantification were validated using full kinetic modeling with metabolite-corrected arterial input function. All participants also underwent amyloid-PET and structural magnetic resonance imaging.ResultsIn vitro [18F]MK-6240 uptake was higher in AD patients than in age-matched controls in brain regions expected to contain tangles such as the hippocampus, whereas no difference was found in the cerebellar gray matter. In vivo, [18F]MK-6240 displayed favorable kinetics with rapid brain delivery and washout. The cerebellar gray matter had low binding across individuals, showing potential for use as a reference region. A reversible two-tissue compartment model well described the time–activity curves across individuals and brain regions. Distribution volume ratios using the plasma input and standardized uptake value ratios (SUVRs) calculated after the binding approached equilibrium (90 min) were correlated and higher in mild cognitive impairment or AD dementia patients than in controls. Reliability analysis revealed robust SUVRs calculated from 90 to 110 min, while earlier time points provided inaccurate estimates.ConclusionsThis evaluation shows an [18F]MK-6240 distribution in concordance with postmortem studies and that simplified quantitative approaches such as the SUVR offer valid estimates of neurofibrillary tangle load 90 min post injection. [18F]MK-6240 is a promising tau tracer with the potential to be applied in the disease diagnosis and assessment of therapeutic interventions.

Improving Mouse Models for Dementia. Are All the Effects in Tau Mouse Models Due to Overexpression?

Mouse models of Alzheimer's disease have commonly used transgenic overexpression of genes involved in production of amyloid β (APP and/or PSEN1/2) or Tau (MAPT) with mutations that result in familial forms of dementia. We discuss possible improvements that may create full models while avoiding the problems of overexpression and report synaptic results in APPKI models. We stress use of inappropriate controls without overexpression of the normal human protein and the mismatch between the learning deficits reported in mice with plaques but no tangles and the human condition. We focus on Tau overexpression, including new data that support previous reports of the grossly nonlinear relationship between Tau overexpression and neurofibrillary tangle load, with a twofold increase in Tau protein, resulting in a 100-fold increase in tangle density. These data also support the hypothesis that a high concentration of soluble Tau, in overexpression models, plays an important direct role in neurodegeneration, rather than only via aggregation. Finally, we hypothesize that there is an optimal concentration range over which Tau can bind to microtubules and a threshold beyond which much of the overexpressed protein is unable to bind. The excess thus causes toxicity in ways not necessarily related to the process in human dementias.