Back

Simulation of Ca2+ oscillations in astrocytes mediated by amyloid beta in Alzheimer's disease

Gao, H.; Liu, L.; Chen, S.

2020-03-18 biophysics
10.1101/2020.03.18.996843 bioRxiv
Show abstract

Disruptions of astrocyte Ca2+ signaling is important in Alzheimers disease (AD) with the unclear mechanism of amyloid beta peptide (A{beta}). We have modified our previous computational model of spontaneous Ca2+ oscillations in astrocytes to investigate the effects of A{beta} on intracellular Ca2+ dynamics. The simulation results have shown consistence with the previous experiments. A{beta} can increase the resting concentration of intracellular Ca2+ and change the regime of Ca2+ oscillations by activating L-type voltage-gated calcium channels and the metabolic glutamate receptors, or by increasing ryanodine receptors sensitivity and Ca2+ leakage, respectively. This work have provided a toolkit to study the influence of A{beta} on intracellular Ca2+ dynamics in AD. It is helpful for understanding the toxic role of A{beta} during the progression of AD. Statement of SignificanceAlzheimers disease (AD) is the most common neurodegenerative disease with the unclear mechanism of amyloid beta peptide (A{beta}). This work have implemented a computational model to address the Ca2+ dynamics of astrocyte mediated by A{beta} with the four different pathways: voltage-gated calcium channels, metabotropic glutamate receptors 5, ryanodine receptor channels and membrane leak. The Ca2+ oscillations and bifurcation diagram indicate that astrocytes exhibit ionic excitability mediated by A{beta} and become the potential targets of A{beta} neurotoxicity. We expect this shared computational model would advance the understanding of AD.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.