Evidence map›Paper›PMID 40705695›Full record

ArticlePain2025

Evaluating the efficacy of neurokinin-1 (substance P) receptor antagonist CP-99994 on facial grimacing and allodynia in mice postsurgery: a comparative study with known analgesics.

Eric S McCoy, Dan F Ryan, Sang Kyoon Park, Mark J Zylka

Abstract readComparative Study
In one paragraph

Article in Pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eric S McCoyUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Dan F RyanUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Sang Kyoon ParkUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Mark J ZylkaUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-0911-7902

Funding

Development of a deep neural network to measure spontaneous pain from mouse facial expressionsR01NS114259 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2020 to 2024
$1.9M
NINDS NIH HHS R01 NS114259NINDS NIH HHS R01NS114259
6 · The paper itself

Abstract

abstractNeurokinin-1 (substance P) receptor (NK1R) antagonists failed to effectively treat pain in humans despite having antinociceptive properties in animals. Here, we sought to evaluate the efficacy of NK1R antagonist CP-99994 at reducing facial grimacing in white-coated CD-1 mice after laparotomy surgery when compared to the analgesics carprofen and buprenorphine. To enable this investigation, we developed a machine learning algorithm to automatically score facial grimacing in white-coated mice using the PainFace software platform. This algorithm detects 5 facial action units of the mouse grimace scale (MGS; orbitals, nose, ears, whiskers, cheeks) and assigns a facial grimace score (0-10) for each video frame analyzed. Carprofen and buprenorphine significantly reduced mean MGS scores and percentage of high grimace (MGS scores ≥5) frames for up to 4 hours postsurgery across multiple doses. In contrast, CP-99994 showed limited efficacy, with only the highest 30 mg/kg dose reducing grimacing at 2 hours. Likewise, principal component analysis of grimace data over time indicated that carprofen and buprenorphine were effective at reducing facial grimacing, whereas CP-99994 was not. However, both buprenorphine and CP-99994 reduced mechanical allodynia at the incision site. These findings reveal a dissociation between the effects of CP-99994 on a spontaneous pain measure (grimacing) and an evoked nociceptive response, whereas a known analgesic reduced both measures. Our study suggests that using facial grimacing to assess spontaneous pain alongside traditional nociceptive assays may better predict analgesic potential and possibly reduce risk of translational failures when selecting drug candidates for clinical advancement.

Indexed as

AnalgesicsFacial ExpressionHyperalgesiaNeurokinin-1 Receptor AntagonistsPiperidinesPostoperative PainAnimalsBuprenorphineCarbazolesDisease Models, AnimalDose-Response Relationship, DrugMaleMicePain Measurement3-((3,5-bis(trifluoromethyl)phenyl)methyloxy)-2-phenylpiperidineAnalgesicsBuprenorphineCarbazolescarprofenNeurokinin-1 Receptor AntagonistsPiperidinesGrimaceMachine learningNociceptionPain

Identifiers

PMID40705695
PMCPMC12313106

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.