ArticleFrontiers in pharmacology2020
"Fei Yan No. 1" as a Combined Treatment for COVID-19: An Efficacy and Potential Mechanistic Study.
Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Efficacy and safety of chinese herbal medicine for treating mild or moderate COVID-19: A systematic review and meta-analysis of randomized controlled trials and observational studies.Frontiers in pharmacology · 2022Pooled it
- Chemical composition combined with network pharmacology and quality markers analysis for the quality evaluation of Qing-fei-da-yuan granules.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024Article
- Evaluation of the mechanism of Gong Ying San activity on dairy cows mastitis by network pharmacology and metabolomics analysis.PloS one · 2024Article
- Phenome-wide association study and precision medicine of cardiovascular diseases in the post-COVID-19 era.Acta pharmacologica Sinica · 2023Review
- Anti-inflammatory, anti-tussive effects and toxicity evaluation of Qingfei Dayuan granules.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023Article
- Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19: A review.Journal of integrative medicine · 2022Review
- A bibliometric analysis of research related Chinese Medicine in the prevention and treatment of corona virus disease 2019.Heliyon · 2022Review
- Network pharmacology approach and molecular docking to explore the potential mechanism of Wu-Wei-Wen-Tong Chubi capsules in rheumatoid arthritis.Naunyn-Schmiedeberg's archives of pharmacology · 2022Article
- Article
- A novel strategy for optimal component formula of anti-PRRSV from natural compounds using tandem mass tag labeled proteomic analyses.BMC veterinary research · 2022Article
- Traditional Chinese medicine against COVID-19: Role of the gut microbiota.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022Review
- Classic mechanisms and experimental models for the anti-inflammatory effect of traditional Chinese medicine.Animal models and experimental medicine · 2022Review
- Efficacy and mechanisms of traditional Chinese medicine for COVID-19: a systematic review.Chinese medicine · 2022Review
- Chromosome-level genome assembly ofHorticulture research · 2022Article
- Network Pharmacology and Molecular Docking to Elucidate the Potential Mechanism of Ligusticum Chuanxiong Against Osteoarthritis.Frontiers in pharmacology · 2022Article
- Molecular Mechanism of Naringenin Against High-Glucose-Induced Vascular Smooth Muscle Cells Proliferation and Migration Based on Network Pharmacology and Transcriptomic Analyses.Frontiers in pharmacology · 2022Article
- Traditional Chinese medicine in COVID-19.Acta pharmaceutica Sinica. B · 2021Review
- In silico analysis of the potential mechanism of a preventive Chinese medicine formula on coronavirus disease 2019.Journal of ethnopharmacology · 2021Article
- Assessment of Post-Radiation Time Effect on Gene Expression Profiles ofJournal of lasers in medical sciences · 2021Article
- Editorial: Ethnopharmacological Responses to the Coronavirus Disease 2019 Pandemic.Frontiers in pharmacology · 2021Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been a large global outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), representing a major public health issue. In China, combination therapy, including traditional Chinese medicine (TCM) as a treatment for COVID-19 has been used widely. "Fei Yan No. 1" (QFDYG) is a formula recommended by the Hubei Government to treat COVID-19. A retrospective study of 84 COVID-19 patients from Hubei Provincial Hospital of TCM and Renmin Hospital of Hanchuan was conducted to explore the clinical efficacy of QFDYG combination therapy. TCMSP and YaTCM databases were used to determine the components of all Chinese herbs in QFDYG. Oral bioavailability (OB) ≥ 30% and drug-like (DL) quality ≥ 0.18 were selected as criteria for screening the active compounds identified within the TCMSP database. The targets of active components in QFDYG were determined using the Swiss TargetPrediction (SIB) and Targetnet databases. The STRING database and the Network Analyzer plugin in Cytoscape were used to obtain protein-protein interaction (PPI) network topology parameters and to identify hub targets. Gene Ontology (GO) enrichment was conducted using FunRich version 3.1.3, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment using ClueGO version 2.5.6 software. PPI and compound-pathway (C-T) networks were constructed using Cytoscape 3.6.0. Compared with the control group, combined treatment with QFDYG resulted in a significantly higher rate of patients recovering from symptoms and shorter the time. After 14 days of treatment, QFDYG combined treatment increased the proportion of patients testing negative for SARS-CoV-2 nucleic acid by RT-PCR. Compared with the control group, promoting focal absorption and inflammation as viewed on CT images. GO and KEGG pathway enrichment indicated that QFDYG principally regulated biological processes, such as inflammation, an immune response, and apoptosis. The present study revealed that QFDYG combination therapy offered particular therapeutic advantages, indicating that the theoretical basis for the treatment of COVID-19 by QFDYG may play an antiviral and immune response regulation through multiple components, targets, and pathways, providing reference for the clinical treatment of COVID-19.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.