Ampakine CX717 Protects against Fentanyl-induced Respiratory Depression and Lethal Apnea in Rats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The use of fentanyl as a potent analgesic is contradicted by marked respiratory depression among a subpopulation of patients. The commonly used approach of reversing fentanyl-induced respiratory depression with mu-opiate receptor antagonists such as naloxone has the undesirable effect of blocking analgesia. Here, the authors report a clinically feasible pharmacological solution for countering fentanyl-induced respiratory depression via a mechanism that does not interfere with analgesia. Specifically, to determine if the ampakine CX717, which has been proven metabolically stable and safe for human use, can prevent and rescue from severe fentanyl-induced apnea. METHODS: Plethsymographic recordings were performed from young and adult rats. Varying doses of fentanyl were administered either intraperitoneally or intravenously to induce moderate to life-threatening apneas. CX717 was administered either before or after fentanyl administration. In addition, phrenic nerve recordings were performed from in situ working heart brainstem preparations from juvenile rats. RESULTS: Preadministration of CX717 markedly attenuated fentanyl-induced respiratory depression. Postadministration of CX717 rescued animals from a lethal dose of fentanyl. Significantly, CX717 countered fentanyl-induced depression of respiratory frequency without suppressing analgesia. The effective dose of CX717 was in the range deemed safe on the basis of clinical trials examining its efficacy for cognitive disorders. In situ, fentanyl-induced depression in respiratory frequency and amplitude was alleviated by CX717. CONCLUSIONS: CX717 is an agent that enhances the safety of using opiate drugs while preserving the analgesic effects. This advancement could significantly improve pain management in a variety of clinical settings.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 it