Evidence map›Paper›PMID 32350292›Full record

ArticleScientific reports2020

Standardised comparison of limonene-derived monoterpenes identifies structural determinants of anti-inflammatory activity.

Cátia Sousa, Alcino Jorge Leitão, Bruno Miguel Neves, Fernando Judas, Carlos Cavaleiro, Alexandrina Ferreira Mendes

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Bioactivity-Guided Isolation of Stigmasterol fromPharmaceuticals (Basel, Switzerland) · 2026
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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

6 authors at 2 institutions in 1 country.

Cátia SousaCentre for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.
Alcino Jorge LeitãoCentre for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.
Bruno Miguel NevesDepartment of Medical Sciences and Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal.
Fernando JudasCentre for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.
Carlos CavaleiroFaculty of Pharmacy, University of Coimbra, Coimbra, Portugal.
Alexandrina Ferreira MendesCentre for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal. afmendes@ff.uc.pt.
University of Coimbra · PTUniversity of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mint species are widely used in traditional and conventional medicine as topical analgesics for osteoarthritic pain and for disorders of the gastrointestinal and respiratory tracts which are all associated with chronic inflammation. To identify the structural determinants of anti-inflammatory activity and potency which are required for chemical optimization towards development of new anti-inflammatory drugs, a selected group of monoterpenes especially abundant in mint species was screened by measuring bacterial lipopolysacharide (LPS)-induced nitric oxide (NO) production in murine macrophages. Nine compounds significantly decreased LPS-induced NO production by more than 30%. IC

Indexed as

Anti-Inflammatory AgentsLimoneneModels, BiologicalAnimalsChondrocytesHumansLipopolysaccharidesMiceNitric OxideNitric Oxide Synthase Type IIOsteoarthritisRAW 264.7 CellsStructure-Activity RelationshipAnti-Inflammatory AgentsLimoneneLipopolysaccharidesNitric OxideNitric Oxide Synthase Type IINOS2 protein, humanNos2 protein, mouse

Identifiers

PMID32350292
PMCPMC7190660
OpenAlexW3022935750

What OpenQuestion holds

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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.