Substance P and cocaine employ convergent mechanisms to depress excitatory synaptic transmission in the rat nucleus accumbens <i>in vitro</i>
Bibliographic record
Abstract
Substance P (SP) has been reported to produce effects on excitatory synaptic transmission in the nucleus accumbens (NAc) that are similar to those induced by cocaine. To address the question of whether SP serves as an endogenous mediator producing cocaine-like effects that are known to be D1-receptor-mediated, we tested the hypothesis that the effects of SP and cocaine on excitatory postsynaptic currents (EPSCs) in the NAc occlude one another. We report here that SP and SP(5-11) actions occlude the effect of cocaine and vice versa. SP, SP(5-11) and cocaine all depressed evoked, non-N-methyl-D-aspartate (NMDA) receptor-mediated synaptic currents in a concentration-dependent manner, with EC50 values of 0.12, 0.17 and 8.3 microm, respectively. Although cocaine was the least potent, it was most efficacious. SP, SP(5-11) and cocaine all suppressed isolated NMDA receptor-mediated evoked EPSCs. SP(5-11) (1 microm)-induced EPSC depression was blocked by the neurokinin-1 antagonist L732138 and by the D1-like receptor antagonist SCH23390. Pretreatment of slices with cocaine (30 microm) depressed the EPSC by 39.1% +/- 4.8%. Application of SP or SP(5-11) (1 microm) at the peak of the cocaine depressive effect on the EPSC did not produce any additional diminution of the response (5.7% +/- 2.8%). In the reverse experiments, in which either SP or SP(5-11) was applied first, subsequent application of cocaine at the peak of the peptide's effect (30.3% +/- 2.3%) produced a further but smaller depression (15.5% +/- 3.6%) of the remaining EPSC. These data indicate that cocaine and SP produce similar effects on excitatory synaptic transmission in the NAc, and that their actions occlude one another. This suggests that SP may act like cocaine in its absence, and may be an endogenous trigger for the reward and behaviors associated with cocaine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".