An Intraplantar Hypertonic Saline Assay in Mice for Rapid Screening of Analgesics
Bibliographic record
Abstract
BACKGROUND: Development of new analgesics is limited by shortcomings of existing preclinical screening assays such as wide variations in response, suitability for a narrow range of analgesics, and propensity to induce tissue damage. Our aim was to determine the feasibility of a new in vivo animal assay as an analgesic screen based on nociceptive responses (licking and biting) after intraplantar (i.pl.) injection of hypertonic saline (HS) in mice. METHODS: With approval from the Institutional Animal Care Committee, we conducted a randomized, investigator-blinded in vivo study in adult CD-1 mice. We first studied the concentration-response relationship, time course, and sex difference of animals' nociceptive responses to HS. Subsequently, we assessed the screening ability of the HS assay to detect a range of established analgesics belonging to different classes. Finally, we performed histopathologic studies to assess potential tissue damage. RESULTS: The response produced by i.pl. HS was greater and longer in female than in male mice. The responses to HS were concentration dependent with minimal variance. Ten percent HS evoked a maximal response within the first 5 minutes. Morphine dose-dependently attenuated animals' nociceptive responses (1-10 mg/kg intraperitoneally [i.p.]). The peripherally restricted µ-opioid receptor agonist, loperamide, reduced nociceptive responses when injected locally (30-100 µg/paw, i.pl.) but not systemically (1-10 mg/kg, i.p.). Acetylsalicylic acid (300 mg/kg, i.p.), naproxen (150 mg/kg, i.p), and acetaminophen (300 mg/kg, i.p.) all decreased nociceptive responses, as did i.pl. coinjections of lidocaine (0.003%-1%) with 10% HS. Histopathologic assessment revealed no tissue damage due to HS. CONCLUSIONS: The i.pl. HS assay is easily performed, rapidly detects standard analgesics, and produces minimal animal suffering without tissue damage. We propose this assay as a useful addition to the armamentarium of existing preclinical analgesic screens.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".