L. (EPL), a medicinal plant, is widely utilized in the central highlands of Vietnam. This study aims to assess the chemical profile and potential medical effects of an EPL extract rich in flavonoids. A total of 36 secondary metabolites were identified from the EPL extract through GC-MS and UHPLC-UV analysis. Among them, 15 volatile compounds and several phenolic and flavonoid chemicals, including salicylic acid, epicatechin gallate, isovitexin, and apigetrin, were reported in EPL extract for the first time. This herbal extract demonstrated moderate inhibition against α-amylase and α-glucosidase, and high anti-oxidant and anti-acetylcholinesterase activities (IC = 76.8 ± 0.8 μg/mL). These promising attributes can be likely attributed to the high levels of major compounds, including wedelolactone (), chlorogenic acid (), epicatechin gallate (), salicylic acid (), isovitexin (), apigetrin (), and myricetin (). These findings align with the traditional use of EPL for enhancing memory and cognitive function, as well as its potential benefits in diabetes management. The results of the molecular docking study reveal that the major identified compounds (, , , and ) showed a more effective acetylcholinesterase inhibitory effect than berberine chloride, with good binding energy (DS values, -12.3 to -14.3 kcal/mol) and acceptable values of RMSD (1.02-1.67 Å). Additionally, almost all the identified major compounds exhibited good ADMET properties within the required limits.
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http://dx.doi.org/10.3390/ph16101476 | DOI Listing |
Int J Biol Macromol
January 2025
Shandong Huatai Paper Co., Ltd. & Shandong Yellow Triangle Biotechnology Industry Research Institute Co. LTD, Dongying 257335, China.
In this study, the response surface methodology was first utilized to optimize the enzyme treatment conditions as reaction pH, temperature, time and enzyme dosage of 9.5, 45 °C, 94.5 min and 100 U/L.
View Article and Find Full Text PDFShanghai Kou Qiang Yi Xue
October 2024
Department of Periodontology, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University; Shandong Key Laboratory of Oral Tissue Regeneration; Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration; Shandong Provincial Clinical Research Center for Oral Diseases. Jinan 250012, Shandong Province, China. E-mail:
Purpose: This study was aimed to compare the difference between iRoot SP and AH Plus on root canal sealing ability for teeth extracted due to severe periodontitis and explore whether the dentin tubule pathway plays an important role in the development of endodontic-periodontic lesions(EPL), in order to provide a theoretical basis for selection of proper time for root canal therapy and suitable root canal sealants in patients with EPL.
Methods: Fifty single-root anterior teeth extracted due to severe periodontitis were selected. The roots were completely debrided to remove the calculus, dental plaque and cementum.
Cells
July 2024
Revatis SA, Rue de la Science 8, 6900 Marche-En-Famenne, Belgium.
Front Bioeng Biotechnol
June 2024
Chongqing University of Engineering, Chongqing, China.
In recent years, deep convolutional neural network-based segmentation methods have achieved state-of-the-art performance for many medical analysis tasks. However, most of these approaches rely on optimizing the U-Net structure or adding new functional modules, which overlooks the complementation and fusion of coarse-grained and fine-grained semantic information. To address these issues, we propose a 2D medical image segmentation framework called Progressive Learning Network (PL-Net), which comprises Internal Progressive Learning (IPL) and External Progressive Learning (EPL).
View Article and Find Full Text PDFMicromachines (Basel)
April 2024
The EDA Center, Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China.
As a planarization technique, chemical mechanical polishing (CMP) continues to suffer from pattern effects that result in large variations in material thickness, which can influence circuit performance and yield. Therefore, tools for predicting post-CMP chip morphology based on the layout-dependent effect (LDE) have become increasingly critical and widely utilized for design verification and manufacturing development. In order to characterize the impact of patterns on polishing, such models often require the extraction of graphic parameters.
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