In an attempt to connect the legacy of centuries of invaluable knowledge from traditional medicine and the current understanding to the molecular mechanism of diseases, we took the advantage of the emergence of in silico screening as a promising tool for identification of potential leads from libraries of natural products. Traditional Chinese Medicine database was subjected to structure based virtual screening for identification of anti-inflammatory compounds using the 3D crystal structure of p38 alpha mitogen activated protein kinase. The molecular docking studies revealed the potential activity of several classes of compounds known to be the constituents of the rhizomes of Alpinia officinarum Hance (Lesser galangal). Five compounds, galangin, kaempferide, isorhamnetin, and two diarylheptanoids, were isolated from the rhizomes of the plant using vacuum liquid chromatography and flash chromatography techniques. The anti-inflammatory activity of these compounds was investigated on HepG2 cells stimulated by lipopolysaccharide. The latter induced the gene expression of proinflammatory cytokines; interleukin-1β, interleukin-6, tumor necrosis factor alpha. Addition of the 5 isolated compounds downregulated this increased gene expression in a dose dependent manner. Thus, these results indicate that the isolated compounds from A. officinarum could be used as a beneficial source for preventing and treating inflammatory diseases.
Keywords: Alpinia officinarum, diarylheptanoids, and MAPKs; LPS-induced inflammation; traditional medicine; virtual screening.
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