Astrocytosis in the molecular layer of the dentate gyrus: A study in Alzheimer's disease and schizophrenia

1990 ◽  
Vol 35 (2) ◽  
pp. 149-166 ◽  
Author(s):  
Manuel F. Casanova ◽  
Janice R. Stevens ◽  
Joel E. Kleinman
2020 ◽  
Author(s):  
Hazal Haytural ◽  
Tomás Jordá-Siquer ◽  
Bengt Winblad ◽  
Christophe Mulle ◽  
Lars O. Tjernberg ◽  
...  

AbstractSynaptic degeneration has been reported as one of the best pathological correlate of cognitive deficit in Alzheimer’s Disease (AD). However, the location of these synaptic alterations within hippocampal sub-regions, the vulnerability of the presynaptic versus postsynaptic compartments, and the biological mechanisms for these impairments remain unknown. Here, we performed immunofluorescence labeling of different synaptic proteins in fixed and paraffin embedded human hippocampal sections and report reduced levels of several presynaptic proteins of the neurotransmitter release machinery (complexin-1, syntaxin-1A, synaptotagmin-1 and synaptogyrin-1) in AD cases. The deficit was restricted to the outer molecular layer (OML) of the dentate gyrus whereas other hippocampal sub-fields were preserved. Interestingly, standard markers of postsynaptic densities (SHANK2) and dendrites (MAP2) were unaltered, as well as the relative number of granule cells in the dentate gyrus, indicating that the deficit is preferentially presynaptic. Notably, staining for the axonal components, myelin basic protein, SMI-312 and Tau, was unaffected, suggesting that the local presynaptic impairment does not result from axonal loss or alterations of structural proteins of axons. There was no correlation between the reduction in presynaptic proteins in OML and the extent of the amyloid load or of the dystrophic neurites expressing phosphorylated forms of Tau. Altogether, this study highlights the distinctive vulnerability of the OML of dentate gyrus and supports the notion of presynaptic failure in AD.


2009 ◽  
Vol 5 (4S_Part_17) ◽  
pp. e19-e19
Author(s):  
Harshvardhan Suresh ◽  
Knut Biber ◽  
Sabine Hoelter ◽  
Wolfgang Wurst ◽  
Dieter Chichung Lie ◽  
...  

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 587
Author(s):  
Dariusz Świetlik ◽  
Jacek Białowąs ◽  
Janusz Moryś ◽  
Ilona Klejbor ◽  
Aida Kusiak

The aim of this study was to evaluate the possibility of the gamma oscillation function (40–130 Hz) to reduce Alzheimer’s disease related pathology in a computer model of the hippocampal network dentate gyrus, CA3, and CA1 (DG-CA3-CA1) regions. Methods: Computer simulations were made for a pathological model in which Alzheimer’s disease was simulated by synaptic degradation in the hippocampus. Pathology modeling was based on sequentially turning off the connections with entorhinal cortex layer 2 (EC2) and the dentate gyrus on CA3 pyramidal neurons. Gamma induction modeling consisted of simulating the oscillation provided by the septo-hippocampal pathway with band frequencies from 40–130 Hz. Pathological models with and without gamma induction were compared with a control. Results: In the hippocampal regions of DG, CA3, and CA1, and jointly DG-CA3-CA1 and CA3-CA1, gamma induction resulted in a statistically significant improvement in terms of increased numbers of spikes, spikes per burst, and burst duration as compared with the model simulating Alzheimer’s disease (AD). The positive maximal Lyapunov exponent was negative in both the control model and the one with gamma induction as opposed to the pathological model where it was positive within the DG-CA3-CA1 region. Gamma induction resulted in decreased transfer entropy in accordance with the information flow in DG → CA3 and CA3 → CA1. Conclusions: The results of simulation studies show that inducing gamma oscillations in the hippocampus may reduce Alzheimer’s disease related pathology. Pathologically higher transfer entropy values after gamma induction returned to values comparable to the control model.


NeuroImage ◽  
2010 ◽  
Vol 53 (3) ◽  
pp. 1077-1084 ◽  
Author(s):  
Nanthia A. Suthana ◽  
Allison Krupa ◽  
Markus Donix ◽  
Alison Burggren ◽  
Arne D. Ekstrom ◽  
...  

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