Dereplication of Siparuna brasiliensis extract with in vivo anti-inflammatory activity.
Leandro A CastroNerilson Marques LimaGracimério J GuarneireGabriela P CarliAllyne Aparecida S CastroTeresinha de Jesus A S AndradeSandra B R CastroBoniek Gontijo VazCaio Cesar S AlvesAlessandra P CarliPublished in: Natural product research (2022)
Siparuna brasiliensis is a medicinal plant widely used by indigenous communities of the Amazon rainforest to treat inflammatory diseases and related pathologies. Considering its ethnopharmacological application, it constitutes an important source of biologically active molecules in the development of anti-inflammatory drugs. This study describes a dereplication methodology of the bioactive extract from S. brasiliensis leaves and the evaluation of the anti-inflammatory potential in an in vivo inflammatory model with mice of the BALB/c lineage and in vitro using cell lines, as well as determining the production of an inflammatory mediator. From their charge-to-mass ratios ( m/z ) and elemental composition obtained through Ultrahigh-resolution mass spectrometry analysis by ESI(-)-Orbitrap MS and chromatographic profile by RP-HPLC-PDA, it was possible to annotate polyphenols with anti-inflammatory properties classified as flavonoids and organic acids. The administration of the extract significantly inhibited carrageenan-induced paw edema and showed effects similar to those of drug dexamethasone without affecting cell viability.
Keyphrases
- anti inflammatory
- mass spectrometry
- oxidative stress
- ms ms
- liquid chromatography
- anti inflammatory drugs
- diabetic rats
- high performance liquid chromatography
- simultaneous determination
- gas chromatography
- tandem mass spectrometry
- low dose
- drug induced
- capillary electrophoresis
- high glucose
- type diabetes
- high resolution mass spectrometry
- multiple sclerosis
- ultra high performance liquid chromatography
- skeletal muscle
- metabolic syndrome
- single molecule
- climate change
- endothelial cells
- emergency department
- tissue engineering
- insulin resistance
- data analysis
- cell fate