Evidence map›Paper›PMID 40640962›Full record

ArticleBiological research2025

Pharmacological evaluation of physcion as a TRPV1 inhibitor with multimodal analgesic efficacy in experimental pain models.

Hanbin Chen, Guanghong Li, Lin Deng, Shuli Li, Songqiang Huang, Simon Ming-Yuen Lee, Xiaowei Nie, Jin-Song Bian

Abstract read
In one paragraph

Article in Biological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Hanbin Chen *Department of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Guanghong Li *Department of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Lin DengDepartment of Cardiology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Shuli LiState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, China.
Songqiang HuangSchool of Biomedical Sciences, Affiliated Hospital of Hunan University, Hunan University, Changsha, Hunan, China.
Simon Ming-Yuen LeeState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, China.
Xiaowei NieDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China. niexw@sustech.edu.cn.
Jin-Song BianDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen, China. bianjs@sustech.edu.cn.

Funding

China Postdoctoral Science Foundation 2023M731524Shenzhen Science and Technology Program, Shenzhen, China KQTD20200820113040070
6 · The paper itself

Abstract

backgroundPain serves as a vital protective mechanism triggered by tissue damage. While NSAIDs and opioids offer relief, their prolonged usage is hindered by adverse effects. Developing analgesics with fewer side effects is crucial for effective pain treatment. The TRPV1 channel is a key target for pain relief, with its inhibitors effectively reducing hyperalgesia in animals. This research utilized virtual screening to identify TRPV1-selective natural compounds for potent analgesic properties.

resultsThe physcion exhibited the notable affinity for TRPV1 compared to the compounds examined. After conducting molecular dynamics simulations, physcion emerged as the compound demonstrating the highest binding affinity towards TRPV1, a finding corroborated by calcium imaging, which validated its inhibitory impact. Furthermore, physcion mitigated the stretch number in the acetic acid-induced stretching model, prolonged the latency period in the hot water tail-flick and hot plate assays, and heightened the pain withdrawal threshold lowered by complete Freund's adjuvant (CFA). Notably, physcion exerted a marked effect in ameliorating bone cancer-induced pain in the hot plate and von Frey tests. Additionally, physcion diminished the levels of inflammatory cytokines and the mRNA expression of both inflammatory and calcium-related genes in the CFA-induced murine model. Furthermore, physcion downregulated the expression of inflammatory genes induced by tumor necrosis factor-α (TNF-α) in RAW264.7 cells. The underlying mechanism potentially involves the suppression of the NF-κB and MAPK signaling cascades.

conclusionsOur investigation underscores the potential of physcion as a promising candidate for analgesic therapy.

Indexed as

AnalgesicsPainTRPV Cation ChannelsAnimalsDisease Models, AnimalMaleMicePain MeasurementAnalgesicsTRPV1 protein, mouseTRPV Cation ChannelsAanalgesicAnti-inflammationMolecular dynamics simulationPhyscionVirtual screening

Identifiers

PMID40640962
PMCPMC12243309

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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.