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Traditional Chinese medicine (TCM) has been widely used in the treatment of human diseases. However, the synergistic effects of multiple TCM prescriptions in the treatment of stroke have not been thoroughly studied. This study aimed to reveal the mechanisms underlying the synergistic effects of these TCM prescriptions in stroke treatment and identify the active compounds. Herbs and compounds in the Di-Tan Decoction (DTD), Xue-Fu Zhu-Yu Decoction (XFZYD), and Xiao-Xu-Ming Decoction (XXMD) were acquired from the TCMSP database. SEA, HitPick, and TargetNet web servers were used for target prediction. The compound-target (C-T) networks of three prescriptions were constructed and then filtered using the collaborative filtering algorithm. We combined KEGG enrichment analysis, molecular docking, and network analysis approaches to identify active compounds, followed by verification of these compounds with an oxygen-glucose deprivation and reoxygenation (OGD/R) model. The filtered DTD network contained 39 compounds and 534 targets, the filtered XFZYD network contained 40 compounds and 508 targets, and the filtered XXMD network contained 55 compounds and 599 targets. The filtered C-T networks retained approximately 80% of the biological functions of the original networks. Based on the enriched pathways, molecular docking, and network analysis results, we constructed a complex network containing 3 prescriptions, 14 botanical drugs, 26 compounds, 13 targets, and 5 pathways. By calculating the synergy score, we identified the top 5 candidate compounds. The experimental results showed that quercetin, baicalin, and ginsenoside Rg1 independently and synergistically increased cell viability. By integrating pharmacological and chemoinformatic approaches, our study provides a new method for identifying the effective synergistic compounds of TCM prescriptions. The filtered compounds and their synergistic effects on stroke require further research.
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http://dx.doi.org/10.3389/fphar.2022.784242 | DOI Listing |
Antimicrob Resist Infect Control
September 2025
School of Medicine and Health Management, Guizhou Province, Guizhou Medical University, GUI'an New District, 6 Ankang Avenue, Guiyang, People's Republic of China.
Background: Although current evidence supports the effectiveness of social norm feedback (SNF) interventions, their sustained integration into primary care remains limited. Drawing on the elements of the antimicrobial SNF intervention strategy identified through the Delphi-based evidence applicability evaluation, this study aims to explore the barriers and facilitators to its implementation in primary care institutions, thereby informing future optimization.
Methods: Based on the five domains of the Consolidated Framework for Implementation Research (CFIR), we developed semi-structured interview and focus group discussion guides.
Mikrochim Acta
September 2025
College of Physical Science and Technology, Bohai University, Jinzhou, 121013, China.
Soda biscuit-like Ag-ZnO@ZIF-8 heterostructures were successfully synthesized using a secondary hydrothermal method for the first time, demonstrating exceptional ethylene glycol sensing performance. The sample (2-Methylimidazol (MeIm) concentration of 0.04 g) exhibits a remarkable response value of 1325.
View Article and Find Full Text PDFGeroscience
September 2025
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
The aging population worldwide faces an increasing burden of age-related conditions, with Alzheimer's disease being a prominent neurodegenerative concern. Drug repurposing, the practice of identifying new therapeutic applications for existing drugs, offers a promising avenue for accelerated intervention. In this study, we utilized the yeast Saccharomyces cerevisiae to screen a library of 1760 FDA-approved compounds, both with and without rapamycin, to assess potential synergistic effects on yeast growth.
View Article and Find Full Text PDFEMBO Mol Med
September 2025
Department of Neurology, Columbia University, New York, NY, 10032, USA.
Spinal muscular atrophy (SMA) is a neurodegenerative disease caused by ubiquitous deficiency in the SMN protein. The identification of disease modifiers is key to understanding pathogenic mechanisms and broadening the range of targets for developing SMA therapies that complement SMN upregulation. Here, we report a cell-based screen that identified inhibitors of p38 mitogen-activated protein kinase (p38 MAPK) as suppressors of proliferation defects induced by SMN deficiency in mouse fibroblasts.
View Article and Find Full Text PDFLight Sci Appl
September 2025
State Key Laboratory of Flexible Electronics, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NUPT), Nanjing, 210023, China.
As the demand for edge platforms in artificial intelligence increases, including mobile devices and security applications, the surge in data influx into edge devices often triggers interference and suboptimal decision-making. There is a pressing need for solutions emphasizing low power consumption and cost-effectiveness. In-sensor computing systems employing memristors face challenges in optimizing energy efficiency and streamlining manufacturing due to the necessity for multiple physical processing components.
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