: To evaluate whether a methanolic extract of Ocimum basilicum (OB) leaves prevented lenticular protein alterations in an in-vitro model of selenite-induced cataractogenesis.: Transparent lenses extirpated from Wistar rats were divided into three groups: control; selenite only; treated. Control lenses were cultured in Dulbecco's modified Eagle's medium (DMEM) alone, selenite only lenses were cultured in DMEM containing sodium selenite only (100 µM selenite/ml DMEM) and treated lenses were cultured in DMEM containing sodium selenite and the methanolic extract of OB leaves (200 µg of extract/ml DMEM); all lenses were cultured for 24 h and then processed. The parameters assessed in lenticular homogenates were lenticular protein sulfhydryl and carbonyl content, calcium level, insoluble to soluble protein ratio, sodium dodecyl sulphate-polyacrylamide gel electrophoretic (SDS-PAGE) patterns of lenticular proteins, and mRNA transcript and protein levels of αA-crystallin and βB1-crystallins.: Selenite only lenses exhibited alterations in all parameters assessed. Treated lenses exhibited values for these parameters that were comparable to those noted in normal control lenses.: The methanolic extract of OB leaves prevented alterations in lenticular protein sulfhydryl and carbonyl content, calcium level, insoluble to soluble protein ratio, SDS-PAGE patterns of lenticular proteins, and expression of αA-crystallin and βB1-crystallin gene and proteins in cultured selenite-challenged lenses. OB may be further evaluated as a promising agent for the prevention of cataract.
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http://dx.doi.org/10.1080/02713683.2019.1698054 | DOI Listing |
Microsc Res Tech
January 2025
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Green synthesis of nanoparticles (NPs) is preferred for its affordability and environmentally friendly approach. This study explored the synthesis and characterization of silver NPs (AgNPs) and examined their impact on the growth of Zea mays, both alone and in combination with nickel chloride (NiCl). A methanolic leaf extract was combined with silver nitrate to synthesize AgNPs.
View Article and Find Full Text PDFCurr Med Mycol
May 2024
Department of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Background And Purpose: species are well-known antifungal medicinal plants. (Apiaceae family) is a rarely investigated plant endemic to Iran. The present study aimed to assess the antifungal, antibacterial, antioxidant, and cytotoxic activities of root extracts of different plants.
View Article and Find Full Text PDFNat Prod Res
January 2025
Vocational School of Health Services, Suleyman Demirel University, Isparta, Turkey.
The study aims to evaluate the Quorum Sensing (QS) system inhibition against some Gram-positive and Gram-negative bacteria detected by molecular modeling of R. cathartica L. plant extract.
View Article and Find Full Text PDFJ Indian Soc Periodontol
December 2024
Department of Periodontics, Dr. Harvansh Singh Judge Institute of Dental Sciences and Hospital, Panjab University, Chandigarh, India.
Background And Objective: The extracts obtained from the leaves and seeds of (Fenugreek) are effective against various microbial infections. The phytoconstituents of have shown promising effects as anti-diabetics, anti-helmentic, anti-microbial, antifungal, and antipyretic, but its impact on oral pathogens is yet to be established. Therefore, the present study aimed to explore the antimicrobial efficacy of phytoconstituents of as compared to 0.
View Article and Find Full Text PDFTalanta
December 2024
Hyphenated Mass Spectrometry Laboratory, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia; School of Life Sciences, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia.
The importance of sample preparation selection if often overlooked particularly for untargeted multi-omics approaches that gained popularity in recent years. To minimize issues with sample heterogeneity and additional freeze-thaw cycles during sample splitting, multiple -omics datasets (e.g.
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