Chronic activation of the D2 autoreceptor inhibits both glutamate and dopamine synapse formation and alters the intrinsic properties of mesencephalic dopamine neurons <i>in vitro</i>
Bibliographic record
Abstract
Dysfunctional dopamine (DA)-mediated signaling is implicated in several diseases including Parkinson's disease, schizophrenia and attention deficit and hyperactivity disorder. Chronic treatment with DA receptor agonists or antagonists is often used in pharmacotherapy, but the consequences of these treatments on DA neuron function are unclear. It was recently demonstrated that chronic D2 autoreceptor (D2R) activation in DA neurons decreases DA release and inhibits synapse formation. Given that DA neurons can establish synapses that release glutamate in addition to DA, we evaluated the synapse specificity of the functional and structural plasticity induced by chronic D2R activation. We show that chronic activation of the D2R with quinpirole in vitro caused a parallel decrease in the number of dopaminergic and glutamatergic axon terminals. The capacity of DA neurons to synthesize DA was not altered, as indicated by the lack of change in protein kinase A-mediated Ser(40) phosphorylation of tyrosine hydroxylase. However, the spontaneous firing rate of DA neurons was decreased and was associated with altered intrinsic properties as revealed by a prolonged latency to first spike after release from hyperpolarization. Moreover, D2R function was decreased after its chronic activation. Our results demonstrate that chronic activation of the D2R induces a complex neuronal reorganization involving the inhibition of both DA and glutamate synapse formation and an alteration in electrical activity, but not in DA synthesis. A better understanding of D2R-induced morphological and functional long-term plasticity may lead to improved pharmacotherapy of DA-related neurological and psychiatric disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".