Dopamine D<sub>1</sub>-D<sub>2</sub> Receptor Heteromer Regulates Signaling Cascades Involved in Addiction: Potential Relevance to Adolescent Drug Susceptibility
Bibliographic record
Abstract
Adolescence is a developmental period that has been associated with heightened sensitivity to psychostimulant-induced reward, thus placing adolescents at increased risk to develop drug addiction. Although alterations in dopamine-induced synaptic plasticity are perhaps the most critical factor in mediating addiction processes, developmental differences in the cell signaling mechanisms that contribute to synaptic plasticity, and their contribution to adolescent reward sensitivity, has been grossly understudied. The most abundant dopamine receptors, the D1 and D2 receptors, as well as the dopamine D1-D2 receptor heteromer, exhibit age-dependent and brain region-specific changes in their expression and function and are responsible for regulating cell signaling pathways known to significantly contribute to the neurobiological mechanisms underlying addiction. The D1-D2 receptor heteromer, for instance, has been associated with calcium calmodulin kinase IIα, brain-derived neurotrophic factor and glycogen synthase kinase 3 (GSK-3) signaling, three proteins highly implicated in the regulation of glutamate transmission and synaptic plasticity and which regulate addiction to amphetamine, opioids and cocaine. Therefore, in this review the importance of these signaling proteins as potential mediators of addiction susceptibility in adolescence will be highlighted, and the therapeutic potential of the D1-D2 receptor heteromer in addiction will be discussed. It is the overall goal of this review to draw attention to the research gap in dopamine-induced cell signaling in the adolescent brain--knowledge that would provide much-needed insights into adolescent addiction vulnerability.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".