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Evaluation of the Wound Healing Properties of Hancornia speciosa Leaves.

Authors: Fabiana Cristina, Geller; Marina Rodrigues, Teixeira; Ana Bárbara Dias, Pereira; Luana Pereira Antunes, Dourado; Danielle G, Souza; Fernão Castro, Braga; Cláudia Maria Oliveira, Simões;

Evaluation of the Wound Healing Properties of Hancornia speciosa Leaves.

Abstract

The leaves of Hancornia speciosa Gomes (Apocynaceae), a medicinal species found in the Brazilian cerrado biome, are traditionally used to treat wounds and inflammatory disorders. The goal of the present study was to investigate the in vitro wound healing properties of ethanolic extract of H. speciosa leaves and its isolated compounds, using the scratch assay, and to evaluate their effects on the release of the pro-inflammatory cytokine tumor necrosis factor (TNF-α) by lipopolysaccharide (LPS)-stimulated human acute monocytic (THP-1) cells. H. speciosa ethanolic extract significantly increased (42.8% ± 5.4 at 25 µg/mL) cell migration and proliferation of fibroblasts compared with control cells, as well as the isolated compounds bornesitol (80.8% ± 5.1) and quinic acid (69.1% ± 6.2), both assayed at 50 μM. TNF-α release by LPS-stimulated THP-1 cells was significantly reduced by the ethanolic extract (62.9% ± 8.2, i.e. 1791.1 ± 394.7 pg/mL) at 10 µg/mL, bornesitol (48.9% ± 0.9, i.e. 2461.6 ± 43.1 pg/mL) at 50 μM, and quinic acid (90.2% ± 3.4, i.e. 473.5 ± 164.4 pg/mL) and rutin (82.4% ± 5.6, i.e. 847.0 ± 271.8 pg/mL) at 10 μM. These results provided evidences to support the traditional use of H. speciosa leaves to treat wounds and inflammatory disorders.

Keywords

Lipopolysaccharides, Wound Healing, Plant Extracts, Tumor Necrosis Factor-alpha, Rutin, Quinic Acid, Fibroblasts, Cell Line, Apocynaceae, Plant Leaves, Humans, Brazil, Cyclitols

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
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