Objective To evaluate senile plaque formation and compare the sensitivity of three different β-amyloid (Aβ) labeling methods (antibody staining, Gallyas silver staining, and thioflavin-S staining) to detect Aβ deposition.Methods APPswe/PSEN1dE9 transgenic mice (APP/PS1) of different ages were used to examine spatiotemporal changes in Aβ plaque deposition. Antibody staining, Gallyas silver staining, and thioflavin-S staining were used to detect Aβ plaque deposition in the same brain region of adjacent slices from model mice, and the results were compared.Results With aging, Aβ plaques first appeared in the cortex and then the deposition increased throughout the whole brain. Significantly greater plaque deposition was detected by 6E10 antibody than that analyzed with Gallyas silver staining or thioflavin-S staining (P<0.05). Plaque deposition did not show significant difference between the APP/PS1 mice brains assayed with Gallyas silver staining and ones with thioflavin-S staining (P=0.0033).Conclusions The APP/PS1 mouse model of Alzheimer's disease could mimick the progress of Aβ plaques occurred in patients with Alzheimer's disease. Antibody detection of Aβ deposition may be more sensitive than chemical staining methods.
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http://dx.doi.org/10.24920/03476 | DOI Listing |
Light Sci Appl
January 2025
Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
A major challenge in neuroscience is visualizing the structure of the human brain at different scales. Traditional histology reveals micro- and meso-scale brain features but suffers from staining variability, tissue damage, and distortion, which impedes accurate 3D reconstructions. The emerging label-free serial sectioning optical coherence tomography (S-OCT) technique offers uniform 3D imaging capability across samples but has poor histological interpretability despite its sensitivity to cortical features.
View Article and Find Full Text PDFFront Cell Neurosci
April 2024
Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary.
Excess oxygen (O) levels may have a stimulating effect, but in the long term, and at high concentrations of O, it is harmful to the nervous system. The hippocampus is very sensitive to pathophysiological changes and altered O concentrations can interfere with hippocampus-dependent learning and memory functions. In this study, we investigated the hyperoxia-induced changes in the rat hippocampus to evaluate the short-term effect of mild and severe hyperoxia.
View Article and Find Full Text PDFSci Rep
April 2024
Poultry Science Department, University of Arkansas, Fayetteville, AR, USA.
Amniotes feature two principal visual processing systems: the tectofugal and thalamofugal pathways. In most mammals, the thalamofugal pathway predominates, routing retinal afferents through the dorsolateral geniculate complex to the visual cortex. In most birds, the thalamofugal pathway often plays the lesser role with retinal afferents projecting to the principal optic thalami, a complex of several nuclei that resides in the dorsal thalamus.
View Article and Find Full Text PDFAlzheimers Res Ther
April 2024
Institute for Memory Impairments and Neurological Disorders, University of California, Irvine (UCI MIND), Irvine, CA, 92697, USA.
Background: Cathepsin D (CatD) is a lysosomal protease that degrades both the amyloid-β protein (Aβ) and the microtubule-associated protein, tau, which accumulate pathognomonically in Alzheimer disease (AD), but few studies have examined the role of CatD in the development of Aβ pathology and tauopathy in vivo.
Methods: CatD knockout (KO) mice were crossed to human amyloid precursor protein (hAPP) transgenic mice, and amyloid burden was quantified by ELISA and immunohistochemistry (IHC). Tauopathy in CatD-KO mice, as initially suggested by Gallyas silver staining, was further characterized by extensive IHC and biochemical analyses.
Res Sq
March 2024
Department of Electrical and Computer Engineering, Boston University, 8 St Mary's St, Boston, MA, 02215, USA.
A major challenge in neuroscience is to visualize the structure of the human brain at different scales. Traditional histology reveals micro- and meso-scale brain features, but suffers from staining variability, tissue damage and distortion that impedes accurate 3D reconstructions. Here, we present a new 3D imaging framework that combines serial sectioning optical coherence tomography (S-OCT) with a deep-learning digital staining (DS) model.
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