Cocaine downregulates cardiac SERCA2a and depresses myocardial function in the murine model
Bibliographic record
Abstract
Cocaine has been shown to depress myocardial function, which may be linked to abnormal Ca2+ handling by the sarcoplasmic reticulum (SR). To examine whether cocaine affects Ca(2+)-handling proteins and myocardial performance, we injected BALB/c mice with cocaine daily (30 mg/kg, i.p.) for 14 d. Sarcoplasmic reticulum Ca(2+)-ATPase (SERCA2a) levels, phospholamban (PLB) protein levels, and hemodynamic parameters were measured. After cocaine exposure, myocardial function was significantly decreased both in vivo and in vitro. Also, SERCA2a protein levels were significantly decreased in all cocaine-treated hearts (p < 0.05 compared with saline control). Normalized SERCA2a levels were 1.2 +/- 0.2 (densitometric units) in the cocaine groups (p < 0.05 compared with saline control). However, there was no statistical difference in PLB protein levels between the cocaine and the saline groups. In isolated papillary muscle studies, cocaine did not block the response to extracellular Ca2+ but it did prolong the relaxation time of the muscle. These results indicate that cocaine does not block extracellular Ca2+ entrance across the cell membrane, but that it decreases SERCA2a protein levels. In conclusion, our study demonstrates that cocaine decreases SERCA2a protein levels and depresses myocardial function.
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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) | 0.001 | 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".