Phytochemical analysis and antinociceptive properties of the seeds of Garcinia achachairu View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-04

AUTHORS

Marlova Manhabosco Dal Molin, Suellen Silva, Douglas Rafael Alves, Nara Lins Meira Quintão, Franco Delle Monache, Valdir Cechinel Filho, Rivaldo Niero

ABSTRACT

In a search for new and effective analgesic substances from the Brazilian biodiversity, the present study evaluates the chemical composition and antinociceptive potential of the methanol extract and a pure compound obtained from the seeds of Garcinia achachairu Rusby (Clusiaceae). The methanolic seed extract was directly subjected to purification by column chromatography and the purification was monitored by thin-layer chromatography. The main isolated compound was identified as Guttiferone A by comparison of conventional spectroscopic data (IR, NMR-(1)H and (13)C) to the literature data which was isolated for the first time from this plant. When evaluated in the acetic acid-induced nociception model in mice, the methanolic seed extract had an ID(50) (Inhibitory dose) of 13.1 (11.23-14.91) mg/kg and a maximal inhibition of 72 ± 4%. In the same model, Guttiferone A had an ID(50) of 4.54 (3.29-6.24) mg/kg and a maximal inhibition of 73 ± 5%. The methanolic seed extract and Guttiferone A were also active in pain models induced by formalin, capsaicin, glutamate and carrageenan. These data suggest that the antinociceptive effect of Guttiferone A partly depends on its interference with the synthesis or activity of the cytokine TNF-α, the keratinocyte-derived chemokine KC, and/or PGE(2). These data support, at least in part, the use of G. achachairu in folk medicine and suggest that this plant is an important source of compounds with a suitable profile for development as new and effective medicinal agents to treat pain processes. More... »

PAGES

623-631

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12272-012-0405-3

DOI

http://dx.doi.org/10.1007/s12272-012-0405-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048160492

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22553054


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0405-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0405-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0405-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0405-3'


 

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