The leaves of Ficus sycomorus are used in Burkina Faso folk medicine for the treatment of sickle cell disease. The present comparative study of crude extracts of leaves (decoction, macerated extract and a 95% ethanol extract) was performed with the aim to assess the efficiency of this traditional use and to determine the most active of the three extracts. Antisickling activity was assessed by the Emmel's test. Vasorelaxant effect on rat aortic rings precontracted by phenylephrine with and without N-nitro-L-arginine methyl ester chloride (L-NAME) was also evaluated. The 95% ethanol extract (20 mg mL(-1)) showed the most antisickling activity on sickle erythrocytes, by inhibiting completely sickling of double heterozygote SC cells in 60 min and that of homozygote SS cells in 90 min. On the aorta this extract exhibited a significant (p<0.05) vasorelaxant activity, better than that of the other extracts, with an IC50 value of 6.86±0.13 mg mL(-1) against 18.78±0.38 and 28.56±1.27 mg mL(-1), respectively for the macerated extract and the decoction. When the aortic rings were pretreated with L-NAME, only the ethanolic extract conserved its vasorelaxant activity, up to 73% of relaxation. The acute toxicity of the decoction, assessed by intraperitoneal route and using the Litchfield and Wilcoxon method, led to an LD50 value of 1553.61 mg kg(-1) b.wt. This places the drug among those with low toxicity according to the WHO scale. These results confirm those previously obtained and provide a scientific basis supporting the use of this plant in folk medicine against sickle cell disease. They indicate the importance of Ficus sycomorus in the research of new antisickling molecules.
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Food Chem
December 2024
School of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, PR China; Scientific Research Base of Edible Mushroom Processing Technology Integration of Ministry of Agriculture and Rural Affairs, Changchun 130118, China. Electronic address:
The waste Lentinus edodes stalks from Lentinus edodes processing were used as raw materials by the steam explosion to prepare modified Lentinus edodes stalks dietary fiber and combined with tea polyphenols to form the SE-DF-tea polyphenols complex (SE-DF-TPC). The SE-DF-tea polyphenols mixture (SE-DF-TPM) was prepared according to the complex's optimal adsorption conditions. Fluorescence microscopy, Fourier transform infrared spectroscopy, particle size measurement, thermogravimetric analysis, and X-ray diffraction were used to analyze its structure, and the thermal stability of the complex and its adsorption capacity for lipids, cholesterol, and cholates were studied.
View Article and Find Full Text PDFJ Chromatogr A
December 2024
Freie Universität Berlin, Institut für Chemie und Biochemie, Thielallee 63, 14195 Berlin, Germany.
Analytical thin layer chromatography (TLC) is a simple yet powerful chromatographic technique that is widely used for the qualitative characterization of complex mixtures such as plant extracts. For their qualitative and visual characterisation, a large number of more or less specific colour reactions are at hand and numerous reference substances are available as well. However, the identification of extract components by colour and the comparison of retention times is not straightforward.
View Article and Find Full Text PDFThe article is devoted to the problems of implementation of the WHO Global Polio Eradication Initiative. The influence of the features of poliovirus infection and poliovirus vaccines on the course of the program, its successes and difficulties is considered, the issue of possibility of eradication this infection is discussed.
View Article and Find Full Text PDFIntroduction: The article discusses topical issues of the use of conjugated 13-valent pneumococcal vaccine Prevenar®13 (PCV13) in patients with severe bronchial asthma (SBA), including those receiving targeted therapy with genetically engineered biological drugs (GEBD).
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Biodegradation
December 2024
Department of Civil engineering, Islamic Azad university, Mashhad Branch, Iran.
The widespread use of pesticides, including diazinon, poses an increased risk of environmental pollution and detrimental effects on biodiversity, food security, and water resources. In this study, we investigated the impact of Potentially Toxic Elements (PTE) including Zn, Cd, V, and Mn on the degradation of diazinon in three different soils. We investigated the capability and performance of four machine learning models to predict residual pesticide concentration, including adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR), radial basis function (RBF), and multi-layer perceptron (MLP).
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