Posttranslational amyloid-␤ (A␤) modification is considered to play an important role in Alzheimer's disease (AD)etiology. An N-terminally modified A␤ species, pyroglutamate-amyloid-␤ (pE3-A␤), has been described as a major constituent of A␤ deposits specific to human AD but absent in normal aging. Formed via cyclization of truncated A␤ species by glutaminyl cyclase (QC; QPCT) and/or its isoenzyme (isoQC; QPCTL), pE3-A␤ aggregates rapidly and is known to seed additional A␤ aggregation. To directly investigate pE3-A␤ toxicity in vivo, we generated and characterized transgenic TBA2.1 and TBA2.2 mice, which express truncated mutant human A␤. Along with a rapidly developing behavioral phenotype, these mice showed progressively accumulating A␤ and pE3-A␤ deposits in brain regions of neuronal loss, impaired long-term potentiation, microglial activation, and astrocytosis. Illustrating a threshold for pE3-A␤ neurotoxicity, this phenotype was not found in heterozygous animals but in homozygous TBA2.1 or double-heterozygous TBA2.1/2.2 animals only. A significant amount of pE3-A␤ formation was shown to be QC-dependent, because crossbreeding of TBA2.1 with QC knock-out, but not isoQC knock-out, mice significantly reduced pE3-A␤ levels. Hence, lowering the rate of QC-dependent posttranslational pE3-A␤ formation can, in turn, lower the amount of neurotoxic A␤ species in AD.

The beta-site APP-cleaving enzyme (BACE1) is a prerequisite for the generation of beta-amyloid peptides, which give rise to cerebrovascular and parenchymal beta-amyloid deposits in the brain of Alzheimer's disease patients. BACE1 is neuronally expressed in the brains of humans and experimental animals such as mice and rats. In addition, we have recently shown that BACE1 protein is expressed by reactive astrocytes in close proximity to beta-amyloid plaques in the brains of aged transgenic Tg2576 mice that overexpress human amyloid precursor protein carrying the double mutation K670N-M671L. To address the question whether astrocytic BACE1 expression is an event specifically triggered by beta-amyloid plaques or whether glial cell activation by other mechanisms also induces BACE1 expression, we used six different experimental strategies to activate brain glial cells acutely or chronically. Brain sections were processed for the expression of BACE1 and glial markers by double immunofluorescence labeling and evaluated by confocal laser scanning microscopy. There was no detectable expression of BACE1 protein by activated microglial cells of the ameboid or ramified phenotype in any of the lesion paradigms studied. In contrast, BACE1 expression by reactive astrocytes was evident in chronic but not in acute models of gliosis. Additionally, we observed BACE1-immunoreactive astrocytes in proximity to beta-amyloid plaques in the brains of aged Tg2576 mice and Alzheimer's disease patients.

Brains of Alzheimer's disease (AD) patients are characterized in part by the formation of high molecular weight aggregates of amyloid-β (Aβ) peptides, which interfere with neuronal function and provoke neuronal cell death. The pyroglutamate (pGlu) modification of Aβ was demonstrated to be catalyzed by the enzyme glutaminyl cyclase (QC) and to enhance pathogenicity and neurotoxicity. Here, we addressed the role of QC in AD pathogenesis in human cortex. Two sets of human postmortem brain tissue from a total of 13 non-demented controls and 11 AD cases were analyzed by immunohistochemistry and unbiased stereology, quantitative RT-PCR, and enzymatic activity assays for the expression level of QC in temporal and entorhinal cortex. Additionally, cortical Aβ and pGlu-Aβ concentrations were quantified by ELISA. Data on QC expression and Aβ peptide concentrations were correlated with each other and with the Mini-Mental State Examination (MMSE) of individual cases. In control cases, QC expression was higher in the more vulnerable entorhinal cortex than in temporal cortex. In AD brains, QC mRNA expression and the immunoreactivity of QC were increased in both cortical regions and frequently associated with pGlu-Aβ deposits. The analyses of individual cases revealed significant correlations between QC mRNA levels and the concentration of insoluble pGlu-Aβ aggregates, but not of unmodified Aβ peptides. Elevated pGlu-Aβ load showed a better correlation with the decline in MMSE than elevated concentration of unmodified Aβ. Our observations provide evidence for an involvement of QC in AD pathogenesis and cognitive decline by QC-catalyzed pGlu-Aβ formation.

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Transgenic animal models are invaluable research tools for elucidating the pathways and mechanisms involved in the development of neurodegenerative diseases. Mechanistic clues can be revealed by applying labelling techniques such as immunohistochemistry or in situ hybridisation to brain tissue sections. Precision in both assigning anatomical location to the sections and quantifying labelled features is crucial for output validity, with a stereological approach or image-based feature extraction typically used. However, both approaches are restricted by the need to manually delineate anatomical regions. To circumvent this limitation, we present the QUINT workflow for quantification and spatial analysis of labelling in series of rodent brain section images based on available 3D reference atlases. The workflow is semi-automated, combining three open source software that can be operated without scripting knowledge, making it accessible to most researchers. As an example, a brain region-specific quantification of amyloid plaques across whole transgenic Tg2576 mouse brain series, immunohistochemically labelled for three amyloid-related antigens is demonstrated. First, the whole brain image series were registered to the Allen Mouse Brain Atlas to produce customised atlas maps adapted to match the cutting plan and proportions of the sections (QuickNII software). Second, the labelling was segmented from the original images by the Random Forest Algorithm for supervised classification (ilastik software). Finally, the segmented images and atlas maps were used to generate plaque quantifications for each region in the reference atlas (Nutil software). The method yielded comparable results to manual delineations and to the output of a stereological method. While the use case demonstrates the QUINT workflow for quantification of amyloid plaques only, the workflow is suited to all mouse or rat brain series with labelling that is visually distinct from the background, for example for the quantification of cells or labelled proteins.