Computational model of a positive BDNF feedback loop in hippocampal neurons following inhibitory avoidance training

Author:

Zhang Yili,Smolen Paul,Alberini Cristina M.,Baxter Douglas A.,Byrne John H.

Abstract

Inhibitory avoidance (IA) training in rodents initiates a molecular cascade within hippocampal neurons. This cascade contributes to the transition of short- to long-term memory (i.e., consolidation). Here, a differential equation-based model was developed to describe a positive feedback loop within this molecular cascade. The feedback loop begins with an IA-induced release of brain-derived neurotrophic factor (BDNF), which in turn leads to rapid phosphorylation of the cAMP response element-binding protein (pCREB), and a subsequent increase in the level of the β isoform of the CCAAT/enhancer binding protein (C/EBPβ). Increased levels of C/EBPβ lead to increased bdnf expression. Simulations predicted that an empirically observed delay in the BDNF-pCREB-C/EBPβ feedback loop has a profound effect on the dynamics of consolidation. The model also predicted that at least two independent self-sustaining signaling pathways downstream from the BDNF-pCREB-C/EBPβ feedback loop contribute to consolidation. Currently, the nature of these downstream pathways is unknown.

Funder

NIH

Publisher

Cold Spring Harbor Laboratory

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience,Neuropsychology and Physiological Psychology

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