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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Avicenna Journal of Phytomedicine
- نوع مقاله: Journal Article
- کلمات کلیدی: Antiviral activity,Influenza A virus,Peganum harmala L
- چکیده:
- چکیده انگلیسی: Objective: Influenza A virus infections are still a major health problem and the choices available for the control and treatment of the disease are limited. This research evaluated in vitro and in vivo antiviral effects of Peganum harmala L. seeds (PHS) extract against influenza A virus.
Materials and Methods: In this research, in vitro anti-influenza A virus activity of the extract was assessed in Madin-Darby canine kidney (MDCK) cells. In order to evaluate anti-influenza activity of PHS extract in vivo, BALB/c mice were infected with 5LD50 of mouse-adapted influenza virus (H1N1; PR8) and received 200 mg/kg/day of PHS extract or 20 mg/kg/day oseltamivir. Lungs of seven mice per group were removed on day 3 post-infection and lung virus titers were determined by qRT-PCR. Mice survival, body weights and general conditions were observed for up to 14 days post-infection.
Results: The results demonstrated that, the ethanolic extract of PHS possesses high activity against influenza virus with IC50 value of 15.7 (CI95%:11.7-21) μg/ml in MDCK cells. Our results also showed that, oral administration of PHS extract (200 mg/kg/day) or oseltamivir (20 mg/kg/day) to infected mice, increased the survival rate, reduced body weight loss, and decreased lung virus titer.
Conclusion: Based on our findings, P. harmala seeds extract can inhibit influenza A virus replication in vitro and in vivo. Therefore, isolation and characterization of the plant’s active compounds and investigation of the underlying mechanisms of its antiviral action are highly suggested.- انتشار مقاله: 09-12-1395
- نویسندگان: Mohammad-Taghi Moradi,Ali Karimi,Fatemeh Fotouhi,Soleiman Kheiri,Ali Torabi
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Artificial neural networks (ANNs),fuzzy regression,modeling,Natural gas price
- چکیده:
- چکیده انگلیسی: In this paper, a new approach of modeling for Artificial Neural Networks (ANN) models based on the concepts of ANN and fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility. In addition, the case study is brought in order to clearly show the way this approach could be utilized. The price of the liquid gas in Japan’s market (the world’s largest natural gas importer) is investigated based on the proposed approach. Based on the results, it is concluded that the performance of proposed model is acceptable; moreover, it can be deal with uncertain and complex environments as a clear box model.
- انتشار مقاله: 16-02-1391
- نویسندگان: Ali Torabi,Shima Pashapour Nazari,Najmeh Neshat
- مشاهده