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Hanrieder, J.

Publications and source records attributed to Hanrieder, J..

7 recordsLinked to original sources

Spatially Resolved Microglial Expression Around Aβ Plaques in Human Alzheimers Disease Tissue

Using microglia-enriched spatial transcriptomics on human Alzheimers disease tissue, we identify distinct gene expression changes across microglia located in direct contact with plaques, in periplaque regions, and in areas distant from plaques. We define a group of plaque contact-only microglial (PCOM) genes whose expression increases exclusively in microglia directly contacting plaques. These genes show significant overlap with previously reported gene sets, suggesting that many of the well-characterised disease-associated microglia (DAM) and other AD-related gene-expression signatures are only upregulated when microglia contact plaques. We further identify distinct co-expression networks associated with disease-relevant covariates, including an immune module linked to APOE genotype and a synaptic-mitochondrial module negatively associated with Braak stage. Finally, we compare the human dataset to our previously published data from 18-month-old AppNL-F mice, generated using the same experimental paradigm and demonstrate cross-species concordance in gene expression particularly within plaque-contacting microglia.

neuroscience↗

Age and amyloidβ-dependent initiation of neurofibrillary tau tangles: an improved mouse model of Alzheimers disease without mutations in MAPT.

The lack of models in which ageing and amyloid-{beta} (A{beta}) initiate neurofibrillary tau tangles, independent of MAPT mutations, limits mechanistic insights into Alzheimers disease. Here, we characterise NLFTaum/h, a novel mouse model that recapitulates the gradual transition from A{beta} accumulation to tau pathology by 24 months. We show that combined effects of ageing, A{beta}, and human tau expression promote tau pathology. However, either A{beta} plaques or human tau alone can initiate tau pathology, but only in even older mice. This may be exacerbated by increased neuronal vulnerability across all genotypes with age. Moreover, multi-omic analyses reveal that human tau can induce early alterations in mitochondrial and synaptic pathways, priming this latent vulnerability preceding tau pathology. Together, this suggests that ageing and other interacting triggers accelerate the onset of tau pathology. This opens possibilities for translatable testing of improved therapies for Alzheimers disease, breaking the link between A{beta} and tau pathologies.

neuroscience↗

Levetiracetam prevents Aβ42 production through SV2a-dependent modulation of App processing in Alzheimer's disease models

In Alzheimers disease (AD), amyloid-beta (A{beta}) peptides are produced by proteolytic cleavage of the amyloid precursor protein (APP), which can occur during synaptic vesicle (SV) cycling at presynapses. Precisely how amyloidogenic APP processing may impair presynaptic proteostasis and how to therapeutically target this process remains poorly understood. Using App knock-in mouse models of early A{beta} pathology, we found proteins with hampered degradation accumulate at presynaptic sites. At this mild pathological stage, amyloidogenic processing leads to accumulation of A{beta}42 inside SVs. To explore if targeting SVs modulates A{beta} accumulation, we investigated levetiracetam (Lev), a SV-binding small molecule drug that has shown promise in mitigating AD-related pathologies despite its mechanism of action being unclear. We discovered Lev reduces A{beta}42 levels by decreasing amyloidogenic processing of APP in a SV2a-dependent manner. Lev corrects SV protein levels and cycling, which results in increased surface localization of APP, where it favors processing via the non-amyloidogenic pathway. Using metabolic stable isotopes and mass spectrometry we confirmed that Lev prevents the production of A{beta}42 in vivo. In transgenic mice with aggressive pathology, electrophysiological and immunofluorescent microscopy analyses revealed that Lev treatment reduces SV cycling and minimizes synapse loss. Finally, we found that human Down syndrome brains with early A{beta} pathology, have elevated levels of presynaptic proteins, confirming a comparable presynaptic deficit in human brains. Taken together, we report a mechanism that highlights the therapeutic potential of Lev to modify the early stages of AD and represent a promising strategy to prevent A{beta}42 pathology before irreversible damage occurs. One Sentence SummaryWe discovered that the SV-binding drug levetiracetam prevents A{beta}42 production by modulating SV cycling which alters APP localization and thus proteolytic processing, highlighting its therapeutic potential for AD.

neuroscience↗

Isotope Encoded Chemical Imaging Identifies Amyloid Plaque Age Dependent Structural Maturation, Synaptic Loss, and Increased Toxicity

It is of critical importance to our understanding of Alzheimers disease (AD) pathology to determine how key pathological factors are interconnected and implicated in nerve cell death, clinical symptoms, and disease progression. The formation of extracellular beta-amyloid (A{beta}) plaques is the major pathological hallmark of AD and A{beta} has been suggested to be a critical inducer of AD, driving disease pathogenesis. Exactly how A{beta} plaque formation begins and how ongoing plaque deposition proceeds and initiates subsequent neurotoxic mechanisms is not well understood. The primary aim of our research is to elucidate the biochemical processes underlying early A{beta} plaque formation in brain tissue. We recently introduced a chemical imaging paradigm based on mass spectrometry imaging (MSI) and metabolic isotope labelling to follow stable isotope labelling kinetics (iSILK) in vivo to track the in vivo build-up and deposition of A{beta}. Herein, knock-in A{beta} mouse models (AppNL-F) that develop A{beta} pathology gradually are metabolically labeled with stable isotopes. This chemical imaging approach timestamps amyloid plaques during the period of initial deposition allowing the fate of aggregating A{beta} species from before and during the earliest events of plaque pathology through plaque maturation to be tracked. To identify the molecular and cellular response to plaque maturation, we integrated iSILK with single plaque transcriptomics performed on adjacent tissue sections. This enabled changes in gene expression to be tracked as a function of plaque age (as encoded in the A{beta} peptide isotopologue pattern) distinct from changes due to the chronological age or pathological severity. This approach identified that plaque age correlates negatively with gene expression patterns associated with synaptic function as early as in 10-month-old animals but persists into 18 months. Finally, we integrated hyperspectral confocal microscopy into our multiomic approach to image amyloid structural isomers, revealing a positive correlation between plaque age and amyloid structural maturity. This analysis identified three categories of plaques, each with a distinct impact on the surrounding microenvironment. Here, we identified that older, more compact plaques were associated with the most significant synapse loss and toxicity. These data show how isotope-encoded MS imaging can be used to delineate A{beta} toxicity dynamics in vivo. Moreover, we show for the first time a functional integration of dynamic MSI, structural plaque imaging and whole genome-wide spatial transcriptomics at the single plaque level. This multiomic approach offers an unprecedented combination of temporal and spatial resolution enabling a description of the earliest events of precipitating amyloid pathology and how A{beta} modulates synaptotoxic mechanisms.

neuroscience↗

Chemical imaging signatures delineate heterogeneous amyloid plaque populations across the Alzheimers disease spectrum

Amyloid plaque deposition is recognized as the primary pathological hallmark of Alzheimers disease(AD) that precedes other pathological events and cognitive symptoms. Plaque pathology represents itself with an immense polymorphic variety comprising plaques with different stages of amyloid fibrillization ranging from diffuse to fibrillar, mature plaques. The association of polymorphic A{beta} plaque pathology with AD pathogenesis, clinical symptoms and disease progression remains unclear. Advanced chemical imaging tools, such as functional amyloid microscopy combined with MALDI mass spectrometry imaging (MSI), are now enhanced by deep learning algorithms. This integration allows for precise delineation of polymorphic plaque structures and detailed identification of their associated A{beta} compositions. We here set out to make use of these tools to interrogate heterogenic plaque types and their associated biochemical architecture. Our findings reveal distinct A{beta} signatures that differentiate diffuse plaques from fibrilized ones, with the latter showing substantially higher levels of A{beta}x-40. Notably, within the fibrilized category, we identified a distinct subtype known as coarse-grain plaques. Both in sAD and fAD brain tissue, coarse grain plaques contained more A{beta}x-40 and less A{beta}x-42 compared with cored plaques. The coarse grain plaques in both sAD and fAD also showed higher levels of neuritic content including paired helical filaments (PHF-1)/phosphorylated phospho Tau-immunopositive neurites. Finally, the A{beta} peptide content in coarse grain plaques resembled that of vascular A{beta} deposits (CAA) though with relatively higher levels of A{beta}1-42 and pyroglutamated A{beta}x-40 and A{beta}x-42 species in coarse grain plaques. This is the first of its kind study on spatial in situ biochemical characterization of different plaque morphotypes demonstrating the potential of the correlative imaging techniques used that further increase the understanding of heterogeneous AD pathology. Linking the biochemical characteristics of amyloid plaque polymorphisms with various AD etiologies and toxicity mechanisms is crucial. Understanding the connection between plaque structure and disease pathogenesis can enhance our insights. This knowledge is particularly valuable for developing and advancing novel, amyloid-targeting therapeutics.

neuroscience↗

Upregulation of Trem2 expression occurs exclusively on microglial contact with plaques

Using spatial cell-type-enriched transcriptomics, we compare plaque-induced gene (PIG) expression in microglia touching plaques, neighboring plaques, and far from plaques in 18-month-old APPNLF/NLF knock-in mice with and without the Alzheimers disease risk mutation Trem2R47H/R47H. We report that, in AppNLF/NLF mice, expression of 35/55 PIGs, is exclusively upregulated in microglia that are touching plaques. In 7 PIGs including Trem2 this upregulation is prevented by the Trem2R47H/R47H mutation. Unlike in young mice, knockin of the Trem2R47H/R47H mutation does not significantly decrease the Trem2 expression but decreases protein levels by 20% in the absence of plaques. On plaques, despite the mutation preventing increased gene expression, TREM2 protein levels increased by 1.6-fold (compared to 3-fold with Trem2WT/WT) and microglial density increased 20-fold compared to 30-fold. Hence microglia must touch plaques before Trem2 gene expression is increased but small changes in protein expression can increase microglia density without a change in gene expression.

neuroscience↗

Imaging stable isotope labelling kinetics (iSILK) for following spatial Aβ plaque aggregation dynamics in evolving Alzheimers disease pathology

For our understanding of Alzheimers disease (AD) pathophysiology, it is of critical importance to determine how key pathological factors, specifically amyloid {beta} (A{beta}) plaque formation, are interconnected and implicated in neurodegeneration, disease progression and the development of clinical symptoms. Exactly how A{beta} plaque formation is initiated and how the ongoing plaque deposition proceeds is not well understood. This is partly because we can only examine details of the molecular pathology after death in humans, and in mice, we can only examine a particular point in time without any longitudinal information on the fate of individually formed deposits. Herein, we used metabolic labelling of proteins with stable isotopes, together with multimodal imaging mass spectrometry (IMS) for imaging stable isotope labelling kinetics (iSILK) in the APPNL-G-F knock-in mouse model of AD. The aim was to monitor the earliest seeds of A{beta} deposition through ongoing plaque development and track the deposition of A{beta} that is produced later in relation to already deposited plaques. This allowed us to visualize A{beta} peptide aggregation dynamics within individual deposits across different brain regions. We identified the cortex as a primary site of deposition in precipitating plaque pathology. Further, our data show that structural plaque heterogeneity is associated with differential peptide deposition. Specifically, A{beta}1-42 is forming an initial core seed followed by radial outgrowth and late secretion and deposition of A{beta}1-38. Together these data prove the potential of iSILK for probing amyloid protein secretion, processing and aggregation dynamics in AD pathology.

neuroscience↗