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Cell- and state-specific plasticity of striatal glutamatergic synapses is critical to the expression of levodopa-induced dyskinesia

Shen, W.; Zhai, S.; Francardo, V.; Cui, Q.; Xie, Z.; Tkatch, T.; Cenci, M. A.; Surmeier, D. J.

2024-06-14 neuroscience
10.1101/2024.06.14.599055 bioRxiv
Show abstract

Levodopa-induced dyskinesia (LID) is a debilitating complication of symptomatic therapy in Parkinsons disease (PD). Although there is compelling evidence that striatal pathophysiology is a major driver of LID, the circuit-specific mechanisms contributing to dysfunction remain obscure. This lack of clarity is reflected in the limited options for diminishing established LID. To address this gap, molecular, cellular, and behavioral strategies were used to interrogate striatal indirect pathway spiny projection neurons (iSPNs) in a mouse model of LID. These studies revealed that LID induction led to an up-regulation of GluN2B-containing N-methyl-d-aspartate receptors (NMDARs) specifically at iSPN glutamatergic synapses. This up-regulation was correlated with increased numbers of silent glutamatergic synapses in the hours after levodopa treatment. In this off-state, long-term potentiation (LTP) of iSPN glutamatergic synapses was readily induced and this induction was blocked by antagonists of adenosine type 2 receptors (A2aRs) or GluN2B-containing NMDARs. Systemic administration of the A2aR antagonist tozedenant at the beginning of the off-state significantly reduced the development of LID. More importantly, specifically knocking down the expression of GRIN2B mRNA in iSPNs dramatically attenuated both development and expression of LID, without compromising the beneficial effects of levodopa on movement. Taken together, these studies demonstrate that dyskinesiogenic doses of levodopa trigger cell-specific synaptic adaptations during the off-state that make an important contribution to the network pathophysiology underlying LID and suggest that targeting GluN2B-containing NMDARs in iSPNs could be therapeutically useful.

Published in Neuron (predicted rank #11) · training set

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