Evidence map›Paper›PMID 37298941›Full record

ArticleMolecules (Basel, Switzerland)2023

Antinociceptive Effect of a p-Cymene/β-Cyclodextrin Inclusion Complex in a Murine Cancer Pain Model: Characterization Aided through a Docking Study.

Wagner B R Santos, Lícia T S Pina, Marlange A de Oliveira, Lucas A B O Santos, Marcus V A Batista, Gabriela G G Trindade, Marcelo C Duarte, Jackson R G S Almeida, Lucindo J Quintans-Júnior, Jullyana S S Quintans and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
1.2field-weighted citation impact, top 21% of its field
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, 7 citations in OpenAlex.

  1. Review
  2. Review
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

16 authors at 5 institutions in 2 countries.

Wagner B R SantosDepartament of Pharmacy, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Lícia T S PinaDepartament of Pharmacy, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Marlange A de OliveiraDepartament of Physiology, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Lucas A B O SantosDepartament of Biology, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Marcus V A BatistaDepartament of Biology, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.ORCID 0000-0003-4745-8919
Gabriela G G TrindadeDepartament of Pharmacy, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Marcelo C DuarteDepartament of Pharmacy, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Jackson R G S AlmeidaDepartment of Pharmacy, Federal University of Vale do São Francisco, Juazeiro 48902-300, BA, Brazil.ORCID 0000-0002-0867-1357
Lucindo J Quintans-JúniorDepartament of Physiology, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.ORCID 0000-0001-5155-938X
Jullyana S S QuintansDepartament of Physiology, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Mairim R SerafiniDepartament of Pharmacy, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Henrique D M CoutinhoDepartment of Biological Chemistry (DBQ), Regional University of Cariri (URCA), Pimenta, Crato 63105-000, CE, Brazil.ORCID 0000-0002-6634-4207
Grażyna KowalskaDepartment of Tourism and Recreation, University of Life Sciences in Lublin, 15 Akademicka Str., 20-950 Lublin, Poland.ORCID 0000-0002-1872-2381
Tomasz BajDepartment of Pharmacognosy with Medicinal Plants Garden, Medical University of Lublin, 1 Chodźki Str., 20-093 Lublin, Poland.ORCID 0000-0001-7543-6771
Radosław KowalskiDepartment of Analysis and Food Quality Assessment, University of Life Sciences in Lublin, 8 Skromna Str., 20-704 Lublin, Poland.ORCID 0000-0003-3063-8710
Adriana G GuimarãesDepartament of Pharmacy, Federal University of Sergipe, São Cristóvão 49100-000, SE, Brazil.
Universidade Federal de Sergipe · BRUniversity of Life Sciences in Lublin · PLMedical University of Lublin · PLUniversidade Federal do Vale do São Francisco · BRUniversidade Regional do Cariri · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is one of the most prevalent and difficult to manage symptoms in cancer patients, and conventional drugs present a range of adverse reactions. The development of β-cyclodextrins (β-CD) complexes has been used to avoid physicochemical and pharmacological limitations due to the lipophilicity of compounds such as p-Cymene (PC), a monoterpene with antinociceptive effects. Our aim was to obtain, characterize, and measure the effect of the complex of p-cymene and β-cyclodextrin (PC/β-CD) in a cancer pain model. Initially, molecular docking was performed to predict the viability of complex formation. Afterward, PC/β-CD was obtained by slurry complexation, characterized by HPLC and NMR. Finally, PC/β-CD was tested in a Sarcoma 180 (S180)-induced pain model. Molecular docking indicated that the occurrence of interaction between PC and β-CD is favorable. PC/β-CD showed complexation efficiency of 82.61%, and NMR demonstrated PC complexation in the β-CD cavity. In the S180 cancer pain model, PC/β-CD significantly reduced the mechanical hyperalgesia, spontaneous nociception, and nociception induced by non-noxious palpation at the doses tested (

Indexed as

beta-CyclodextrinsCancer PainCyclodextrinsNeoplasmsAnalgesicsAnimalsCymenesHumansMiceMolecular Docking SimulationPainSolubility4-cymeneAnalgesicsbeta-CyclodextrinsbetadexCyclodextrinsCymenescancer paininclusion complexmonoterpenesnatural products

Identifiers

PMID37298941
PMCPMC10254339
OpenAlexW4379057465

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.