Dopamine 2 receptor ablation from cholinergic neurons attenuates L-DOPA induced dyskinesias.
Uribe-Cano, S.; Malave, L.; Kottmann, A. H.
Show abstract
Striatal cholinergic interneurons (CIN) have been implicated in both, the facilitation as well as the attenuation of L-DOPA-induced dyskinesias (LID). These findings indicate that CIN impinge on formation and expression of LID in a dopamine state dependent manner since LID formation requires prominent oscillations of dopamine at timescales of hours over several years. However, how CIN sense and interpret striatal dopamine levels is not completely understood. CIN express both inhibitory, high affinity, Gi coupled D2 (D2R)- and facilitatory, medium affinity, Gs coupled D5 (D5R)-dopamine receptors. While the systemic ablation of D5R exacerbates LID, the contribution of D2R expression in CIN to LID has not been studied. Here, we produced mice with conditional ablation of D2R from choline acetyltransferase-expressing cells (D2ChATKO) subjected to unilateral 6-hydroxydopamine lesions and chronic L-DOPA dosing. Behavioral assessments revealed that D2ChATKO mice exhibited attenuated LID across escalating L-DOPA doses. Postmortem analyses showed reduced expression of the LID-associated marker p-ERK in CIN in the dorsolateral striatum. Further, quantification of the CIN activity marker p-rpS6240/244 of mice in the L-DOPA ON and OFF state revealed that L-DOPA resulted in an increase of cholinergic activity driven by a subset of mainly dorso-laterally located CIN. D2R ablation from CIN prevented the L-DOPA associated increase in cholinergic activity. Together, these findings indicate that D2R signaling in CIN promotes LID formation, and they highlight CIN D2R as a potential molecular target for mitigating dyskinesias while preserving the therapeutic efficacy of L-DOPA. We discuss our results in the context of recently refined models how CIN contribute to aberrant plasticity in the basal ganglia of mouse models of Parkinsons Disease.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Blockade Of M4 Muscarinic Receptors On Striatal Cholinergic Interneurons Normalizes Striatal Dopamine Release In A Mouse Model Of Dyt1-Tor1A Dystonia 94%
- Characterization of mice with cell type-specific Gnal loss of function provides insights on GNAL-linked dystonia 94%
- Cell-intrinsic effects of TorsinA(ΔE) disrupt dopamine release in a mouse model of DYT1-TOR1A dystonia 94%
Similar papers in this journal
- Alterations in the intrinsic properties of striatal cholinergic interneurons after dopamine lesion and chronic L-DOPA 97%
- Dopamine neuron morphology and output are differentially controlled by mTORC1 and mTORC2 96%
- Striatal cholinergic interneuron pause response requires Kv1 channels, is absent in dyskinetic mice, and is restored by dopamine D5 receptor inverse agonism 96%
Similar papers in this journal
- Moderate intensity aerobic exercise in 6-OHDA-lesioned rats alleviates established motor deficits and reduces neurofilament light and glial fibrillary acidic protein serum levels without increased striatal dopamine or tyrosine hydroxylase protein 94%
- Differential expression of RET and GDNF family receptor, GFR-α1, between striatum and substantia nigra following nigrostriatal lesion: a case for diminished GDNF-signaling 93%
- Nigral-specific increase in ser31 tyrosine hydroxylase phosphorylation offsets dopamine loss and forestalls hypokinesia onset during progressive nigrostriatal neuron loss 93%
Similar papers in this journal
Similar papers in this journal
- Striatal Direct Pathway Targets Npas1+ Pallidal Neurons 95%
- Dopamine release in nucleus accumbens is under tonic inhibition by adenosine A1 receptors regulated by astrocytic ENT1 and dysregulated by ethanol 94%
- Transgenic mice expressing human alpha-synuclein in noradrenergic neurons develop locus coeruleus pathology and non-motor features of Parkinson's disease 94%
"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.