Modeling Suggests Combined-Drug Treatments for Disorders Impairing Synaptic Plasticity via Shared Signaling Pathways
Paul Smolen, Douglas A Baxter, John H Byrne

TL;DR
This study uses computational modeling to identify promising combined drug therapies that can restore synaptic plasticity deficits in genetic disorders affecting learning and memory, highlighting synergistic effects at lower doses.
Contribution
It introduces a novel simulation approach to predict effective drug combinations for disorders impairing synaptic plasticity via shared signaling pathways.
Findings
Single drugs may require high doses with potential side effects.
Certain drug pairs exhibit strong synergism in rescuing L-LTP deficits.
Combination therapies can normalize synaptic plasticity at lower doses.
Abstract
Genetic disorders such as Rubinstein-Taybi syndrome (RTS) and Coffin-Lowry syndrome (CLS) cause lifelong cognitive disability, including deficits in learning and memory. Can pharmacological therapies be suggested to improve learning and memory in these disorders? To address this question, we simulated drug effects within a computational model describing induction of late long-term potentiation (L-LTP). Biochemical pathways impaired in these and other disorders converge on a common target, histone acetylation by acetyltransferases such as CREB binding protein (CBP), which facilitates gene induction necessary for L-LTP. We focused on four drug classes: tropomyosin receptor kinase B (TrkB) agonists, cAMP phosphodiesterase inhibitors, histone deacetylase inhibitors, and ampakines. Simulations suggested each drug type alone may rescue deficits in L-LTP. A potential disadvantage, however, was…
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