Propionibacterium acnes is a key pathogen involved in acne inflammation. Wild bitter melon (WBM, Momordica charantia L. var. abbreviate Seringe) is consumed as both a vegetable and as folk medicine in Taiwan. We examined the inhibitory activity of the total phenolic extract (TPE) of WBM leaf on P. acnes-induced inflammatory responses in vivo and in vitro. Our data showed that TPE significantly attenuated P. acnes-induced ear swelling in mice along with microabscess. Flow cytometry analysis revealed that TPE treatment significantly decreased the migration of neutrophils and interleukin (IL)-1β(+) populations in vivo. In P. acnes-stimulated human monocytic THP-1 cells, TPE suppressed the mRNA levels and production of IL-8, IL-1β, and tumor necrosis factor (TNF)-αin vitro. In addition, TPE suppressed P. acnes-induced matrix metalloproteinase-9 levels. TPE blocked nuclear factor-κB (NF-κB) activation and inactivated mitogen-activated protein kinases (MAPK); these actions may partially account for its inhibitory effect on cytokine production. The quantitative HPLC analysis revealed gallic, chlorogenic, caffeic, ferulic, and cinnamic acids, myricetin, quercetin, luteolin, apigenin, and thymol in TPE. All these phenolics significantly suppressed P. acnes-induced IL-8 production in vitro. Our results suggest that WBM leaf extract effectively inhibits P. acnes-induced inflammatory responses and may be useful to relieve the inflammation of acne.
Speech signal can be effect by the external interruption in the process of flight simulation, which results in the deteriorated speech processing performance in flight simulation system. To solve the problem, speech enhancement module has been developed using the spectral subtraction algorithm based on the flight simulation system developed by the research team. The module will improve the recognition rates and provide advanced anti-jam capabilities for the speech processing performance of the flight simulation system. The feasibility and validity of this speech enhancement module is validated by processing the interrupted speech signal. The work in this paper has laid foundation for the application of the speech enhancement technology in flight simulation system.
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