Materials And Methods: Patients with a primary diagnosis of AR (ICD-9-CM code: 477.9) in 2010 were included, and the National Health Insurance Research Database in Taiwan was used as the data source. Association rule mining and social network analysis were used to establish and explore the CHM network. Possible molecular pathways of the CHM network were summarized and compared with commonly used western medicine (WM) by conducting overrepresentation analysis in the Reactome pathway database. The potential proteins acted by CHMs were obtained from the CHM ingredient-protein databases, including STITCH, TCMSP, TCMID, and TCM@Taiwan.
Results: There were 89,148 AR subjects found in 2010, and a total of 33,507 patients ever used CHM. On an average, 5.6 types of CHMs were utilized per prescription. Xin-Yi-Qing-Fei-Tang was used most frequently (25.5% of 222,279 prescriptions), while Xiao-Qing-Long-Tang with Xin-Yi-San was the most commonly prescribed CHM-CHM combination. Up to six distinctive clusters could be found among the CHM network, and core CHMs could be found for AR, such as Xiao-Qing-Long-Tang and Xin-Yi-Qing-Fei-Tang. A total of 140 molecular pathways were covered by the CHM network (2,432 ingredients from 31 kinds of CHMs), while 39 WMs covered 55 pathways. Among pathways responding to the immune system, WM mainly acted on cytokine signaling-related pathways, while CHM mostly acted on neutrophil/macrophage-related innate pathways and dendritic cell-related adaptive immunity pathways.
Conclusion: Our study demonstrated and analyzed the CHM network for AR. Core CHM for AR and possible molecular pathways were presented as well, and this information is crucial for researchers to select candidates for CHM-related studies.
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http://dx.doi.org/10.1155/2020/5979708 | DOI Listing |
Am J Transl Res
December 2024
Graduate School, Guangxi University of Chinese Medicine Nanning 530000, Guangxi Zhuang Autonomous Region, China.
Objective: To systematically evaluate the effectiveness of the combined Needle Knife Therapy (NKT) and Chinese Herbal Medicine (CHM) treatment for knee osteoarthritis (KOA) and to provide clinical evidence supporting its application in managing the condition.
Methods: Relevant articles were retrieved from PubMed, Medline, Embase, Wanfang, and China National Knowledge Network (CNKI) from the inception of the databases up to February 18, 2023. Randomized controlled trials (RCTs) on the efficacy of NKT combined with CHM were appraised for inclusion.
Lancet Oncol
January 2025
Health Systems and Population Health, University of Washington, Seattle, WA, USA. Electronic address:
Background: PATHFINDER was a prospective cohort study of multicancer early detection (MCED) testing in an outpatient ambulatory population. The aim of this study is to report the patient-reported outcomes (PROs) collected as secondary and exploratory measures in the PATHFINDER study.
Methods: PATHFINDER is a prospective, multicentre, cohort study that enrolled existing healthy ambulatory outpatients at seven health networks in the USA, including hospitals, academic medical centres, and integrated health systems.
Sci Rep
January 2025
School of Information Engineering, Shandong Huayu University of Technology, Dezhou, 253000, China.
In order to reduce the number of parameters in the Chinese herbal medicine recognition model while maintaining accuracy, this paper takes 20 classes of Chinese herbs as the research object and proposes a recognition network based on knowledge distillation and cross-attention - ShuffleCANet (ShuffleNet and Cross-Attention). Firstly, transfer learning was used for experiments on 20 classic networks, and DenseNet and RegNet were selected as dual teacher models. Then, considering the parameter count and recognition accuracy, ShuffleNet was determined as the student model, and a new cross-attention mechanism was proposed.
View Article and Find Full Text PDFPatterns (N Y)
December 2024
Carnegie Mellon University, Pittsburgh, PA, USA.
This article examines the convergence of physics, chemistry, and artificial intelligence (AI), highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing interdisciplinary research's role in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general intelligence (AGI).
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Advanced Interdisciplinary Institute of Environment and Ecology, Guangdong Provincial Key Laboratory of Wastewater Information Analysis and Early Warning, Beijing Normal University, Zhuhai 519087, P.R.China.
Chinese herbal medicine has offered a great treasure for discovering intrinsically bioactive low molecular weight gelators (LMWGs). Herein, the two-component hydrogels comprising glycyrrhizic acid (GA) and puerarin (PUE), the primary bioactive components, respectively, from herbs and are successfully prepared. Combined spectroscopic characterizations reveal that hydrogen bonds are formed between GA and PUE molecules, which further drives the growth of nanofiber assemblies into gel networks.
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