Exploring the active mechanism of berberine against HCC by systematic pharmacology and experimental validation

Song, Lei; Luo, Yi; Wang, Xinyue; Almutairi, Mohammed; Pan, Huafeng; Liu, Yongqiang; Wang, Qi; Hong, Ming

doi:10.3892/mmr.2019.10698

Cited by 20 publications

(19 citation statements)

References 39 publications

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“…The proposed deep learning model, COVID-GMIC, provides visually intuitive saliency maps to help clinicians interpret the model predictions 36 . Existing work on COVID-19 often use external gradient-based algorithms, such as gradCAM 37 , to interpret deep neural network classifiers 38 – 40 . However, visualizations generated by gradient-based methods are sensitive to minor perturbation in input images, and could yield misleading interpretations 41 .…”

Section: Discussionmentioning

confidence: 99%

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

et al. 2021

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During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images and a gradient boosting model that learns from routine clinical variables. Our AI prognosis system, trained using data from 3661 patients, achieves an area under the receiver operating characteristic curve (AUC) of 0.786 (95% CI: 0.745–0.830) when predicting deterioration within 96 hours. The deep neural network extracts informative areas of chest X-ray images to assist clinicians in interpreting the predictions and performs comparably to two radiologists in a reader study. In order to verify performance in a real clinical setting, we silently deployed a preliminary version of the deep neural network at New York University Langone Health during the first wave of the pandemic, which produced accurate predictions in real-time. In summary, our findings demonstrate the potential of the proposed system for assisting front-line physicians in the triage of COVID-19 patients.

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Section: Discussionmentioning

confidence: 99%

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

et al. 2021

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“…44-46 However, Atractylodes macrocephala, Scutellaria baicalensis, and Coptis 40,47 can indirectly inhibit tumors by regulating intestinal flora. It is worth mentioning that much basic research has found that Pinellia, 48 Coptis, 49,50 ginseng, 51 Scutellaria, 52 Atractylodes macrocephala, 53 and Astragalus 54 have anti-hepatoma effects. For example, berberine, 49,50 a constituent of the extract of Coptis in Banxia XieXin decoction, can inhibit the Pi3K/AKT pathway of liver cancer, downregulate MHcc97-H and Hep-G2 cells, phosphorylate the expression of AKT and Pi3K, and inhibit the growth of liver cancer cells in a dose-dependent manner.…”

Section: Discussionmentioning

confidence: 99%

Efficacy and Safety of Banxia XieXin Decoction, a Blended Traditional Chinese Medicine, as Monotherapy for Patients With Advanced Hepatocellular Carcinoma

Wang

et al. 2020

Integr Cancer Ther

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Purpose: To explore a new therapeutic option for patients with hepatocellular carcinoma (HCC), the efficacy and safety of a group of traditional Chinese medicines (Banxia XieXin recipe) as monotherapy for patients with advanced HCC was studied. Materials and Methods: The study included 68 patients with advanced HCC from August 16,2016 to August 15,2019 for analysis. These eligible patients received treatment with Banxia XieXin recipe for at least 1 month. The primary endpoints were progression-free survival (PFS) and overall survival (OS). The secondary efficacy endpoints included objective response rate (ORR) and disease control rate (DCR). In addition, safety was also assessed. Results: The median treatment duration of these 68 patients was 10.3 months (range = 1.6-33.5 months), and follow-up is still ongoing. The median PFS was 6.07 months (95% confidence interval [CI] = 3.748-8.392 months), and the median OS was 12.60 months (95% CI = 8.019-17.181 months). The ORR was 10.3% and the DCR was 41.2%. In the subgroup analysis, the median OS in the transcatheter arterial chemoembolization (TACE) group was not reached, and the median OS in the NO TACE group was 11.30 months (95% CI = 3.219-19.381 months). In addition, no drug-related serious adverse events were observed during the study. Conclusion: This is the first clinical analysis of traditional Chinese medicine as a single treatment for advanced HCC. The obtained results are encouraging as they suggest that this panel of Chinese herbs is safe and it may be effective for patients with advanced HCC in a real-world clinical setting.

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“…The validated targets, which were confirmed by experiments, of the active ingredients of SZS were obtained from the TCMSP database [ 101 ]. Then, the potential target prediction of these active ingredients was performed by utilizing ChemMapper ( http://www.lilab-ecust.cn/chemmapper/index.html ), a web server for predicting potential drug targets based on the 3D structure similarity [ 102 – 105 ].…”

Section: Methodsmentioning

confidence: 99%

Investigation of the Potential Mechanism Governing the Effect of the Shen Zhu San on COVID‐19 by Network Pharmacology

Wang

Zhuo

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Background. Since December 2019, coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 infection has emerged in Wuhan and rapidly spread throughout China and even to other countries. Combined therapy with modern medicine and traditional Chinese medicine has been proposed, in which Shen Zhu San (SZS) was regarded as one of the basic prescriptions. Methods. Network pharmacological approaches along with candidate compound screening, target prediction, target tissue location, protein-protein interaction network, gene ontology (GO), KEGG enrichment analyses, and gene microarray analyses were applied. Results. A total of 627 targets of the 116 active ingredients of SZS were identified. Targets in immune cells and tissues were much more abundant than those in other tissues. A total of 597 targets were enriched in the GO biological cellular process, while 153 signaling pathways were enriched according to the KEGG analysis. A total of 450 SARS-related targets were integrated and intersected with the targets of SZS to identify 40 common targets that were significantly enriched in five immune function aspects of the immune system process during GO analysis. Several inflammation-related pathways were found to be significantly enriched throughout the study. Conclusions. The therapeutic mechanisms of the effects of SZS on COVID-19 potentially involve four effects: suppressing cytokine storms, protecting the pulmonary alveolar-capillary barrier, regulating the immune response, and mediating cell death and survival.

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Exploring the active mechanism of berberine against HCC by systematic pharmacology and experimental validation

Cited by 20 publications

References 39 publications

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Efficacy and Safety of Banxia XieXin Decoction, a Blended Traditional Chinese Medicine, as Monotherapy for Patients With Advanced Hepatocellular Carcinoma

Investigation of the Potential Mechanism Governing the Effect of the Shen Zhu San on COVID‐19 by Network Pharmacology

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