Naoluoxintong (NLXT) has been used to treat ischemic stroke (IS) in China for more than two hundred years. However, the pharmacodynamic material basis of NLXT has not been fully studied. Under the guidance of the former network pharmacological analysis, a rapid and reliable method combining UPLC-Q-TOF-MS with the novel informatics UNIFI™ platform was established which was used to study the composition of NLXT and its prototype components and metabolites . A total of 102 compounds were identified. 13 compounds were sourced from "Monarch herb", mainly involving flavonoids and their glycosides. 54 compounds were sourced from "Minister herb", mainly involving triterpenoid saponins, organic acids and lactones. 11 compounds were from the "Assistant herb", mostly containing citric acid and esters of citric acid. 24 compounds were from the "Guide herb", mostly including flavonoids and their glycosides, organic acids and lactones. Moreover, 24 prototype components and 30 metabolites were detected, and transformation pathways for different types of chemical components were provided. This is a comprehensive report on the identification of major chemical components in NLXT and metabolic components in rats by UPLC-Q-TOF-MS combined with UNIFI platform under the guidance of network pharmacology, which is helpful for the quality control of NLXT and the study of quality markers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480607 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2023.e19369 | DOI Listing |
Sensors (Basel)
December 2024
School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
Accurately predicting tool wear during the machining process not only saves machining time and improves efficiency but also ensures the production of good-quality parts and automation. This paper proposes a combined variational mode decomposition (VMD) and back propagation (BP) neural network model (VMD-BP), which maps spindle power to tool wear. The model is trained using both historical and real-time data.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
Lung Cancer Center, Hospital Havelhöhe, Kladower Damm 221, 14089 Berlin, Germany.
Recent advancements in cancer treatment have shown the potential of immune checkpoint blockade (ICB) plus L. therapy in improving survival rates for patients with advanced or metastatic non-small-cell lung cancer (NSCLC). The objective of this study was to investigate factors associated with improved survival in NSCLC patients treated with a combination of ICB and abnobaViscum.
View Article and Find Full Text PDFPathogens
November 2024
Yunnan Province Key Laboratory of Children's Major Diseases Research, School of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
The aim of this study was to evaluate the diagnostic accuracy of the IGRA, TST, and TBST by combining diagnostic test accuracy (DTA) analysis and network meta-analysis (NMA) to increase the reliability and accuracy of diagnostic methods and promote the eradication of TB. An electronic search of the PubMed, Embase, and Cochrane databases was conducted, from the date of establishment to September 30, 2024. Data were synthesized with frequentist random-effects network meta-analyses, a single-group rate meta-analysis algorithm, and a bivariate mixed-effects logistic regression model.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China.
Accurate protein secondary structure prediction (PSSP) plays a crucial role in biopharmaceutics and disease diagnosis. Current prediction methods are mainly based on multiple sequence alignment (MSA) encoding and collaborative operations of diverse networks. However, existing encoding approaches lead to poor feature space utilization, and encoding quality decreases with fewer homologous proteins.
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
Vaginal intraepithelial neoplasia (VAIN), linked to HPV infection, is a condition that is often overlooked during colposcopy, especially in the vaginal vault area, as clinicians tend to focus more on cervical lesions. This oversight can lead to missed or delayed diagnosis and treatment for patients with VAIN. Timely and accurate classification of VAIN plays a crucial role in the evaluation of vaginal lesions and the formulation of effective diagnostic approaches.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!