Dataset Information

Protective Effect of Traditional Chinese Medicine Formula RP on Lung Microenvironment in Pre-Metastasis Stage of Breast Cancer.

ABSTRACT: Background: Inflammatory response and inflammation-induced vascular hyper-permeability were established leading to the abnormalities of the pulmonary microenvironment in pre-metastasis stage of breast cancer. Ruyiping is a commonly used compound drug for clinical treatment of breast cancer metastasis, and Platycodon grandiflorum is mainly used to treat pulmonary inflammatory diseases. Therefore, this study used ruyiping combined with Platycodon grandiflorum (abbreviated as RP) to investigate their inhibitory effect on pre-metastatic microenvironment of lung in 4T1 tumor-bearing mice. Study Design and Methods: The permeability of lung tissue was detected by Evans blue method. The localization of S100A8/A9 in lung tissue was obtained by double-labeling immunofluorescence staining. The level of fibrinogen in pre-metastatic microenvironment of lung as well as the levels of pro-inflammatory factors (interleukin [IL]-1? and IL-6) and chemokines (CXCL2 and CXCL5) in bronchoalveolar lavage fluid was detected by ELISA (enzyme-linked immunosorbent assay). Results: From the experimental results, RP could protect the integrity of microvascular, inhibit the release of S100A8/A9, reduce the extravasation of fibrinogen, and decrease the expressions of IL-1?, IL-6, CXCL2, and CXCL5. Conclusions: RP could inhibit the extravasation of fibrinogen by protecting pulmonary vascular integrity and then interrupted its interaction with carcinoma in situ, thereby inhibiting the formation of inflammatory pre-metastatic microenvironment.

SUBMITTER: Ye Y

PROVIDER: S-EPMC7242796 | biostudies-literature | 2019 Jan-Dec

REPOSITORIES: biostudies-literature

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Protective Effect of Traditional Chinese Medicine Formula RP on Lung Microenvironment in Pre-Metastasis Stage of Breast Cancer.

Ye Yiyi Y Pei Lixia L Wu Chunyu C Liu Sheng S

Integrative cancer therapies 20190101

Background: Inflammatory response and inflammation-induced vascular hyper-permeability were established leading to the abnormalities of the pulmonary microenvironment in pre-metastasis stage of breast cancer. Ruyiping is a commonly used compound drug for clinical treatment of breast cancer metastasis, and Platycodon grandiflorum is mainly used to treat pulmonary inflammatory diseases. Therefore, this study used ruyiping combined with Platycodon grandiflorum (abbreviated as R ...[more]

PMID: 31517546

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Project description:Our previous study found that Qiong-Yu-Gao (QYG), a traditional Chinese medicine formula derived from Rehmanniae Radix, Poria, and Ginseng Radix, has protective effects against cisplatin-induced acute kidney injury (AKI), but the underlying mechanisms remain unknown. In the present study, the potential role of gut microbiota in the nephroprotective effects of QYG was investigated. We found that QYG treatment significantly attenuated cisplatin-induced AKI and gut dysbiosis, altered the levels of bacterial metabolites, with short-chain fatty acids (SCFAs) such as acetic acid and butyric acid increasing and uremic toxins such as indoxyl sulfate and p-cresyl sulfate reducing, and suppressed histone deacetylase expression and activity. Spearman's correlation analysis found that QYG-enriched fecal bacterial genera Akkermansia, Faecalibaculum, Bifidobacterium, and Lachnospiraceae_NK4A136_group were correlated with the altered metabolites, and these metabolites were also correlated with the biomarkers of AKI, as well as the indicators of fibrosis and inflammation. The essential role of gut microbiota was further verified by both the diminished protective effects with antibiotics-induced gut microbiota depletion and the transferable renal protection with fecal microbiota transplantation. All these results suggested that gut microbiota mediates the nephroprotective effects of QYG against cisplatin-induced AKI, potentially via increasing the production of SCFAs, thus suppressing histone deacetylase expression and activity, and reducing the accumulation of uremic toxins, thereby alleviating fibrosis, inflammation, and apoptosis in renal tissue. IMPORTANCE Cisplatin-induced acute kidney injury is the main limiting factor restricting cisplatin's clinical application. Accumulating evidence indicated the important role of gut microbiota in pathogenesis of acute kidney injury. In the present study, we have demonstrated that gut microbiota mediates the protective effects of traditional Chinese medicine formula Qiong-Yu-Gao against cisplatin-induced acute kidney injury. The outputs of this study would provide scientific basis for future clinical applications of QYG as prebiotics to treat cisplatin-induced acute kidney injury, and gut microbiota may be a promising therapeutic target for chemotherapy-induced nephrotoxicity.

Project description:Purpose: This study proposes an S-TextBLCNN model for the efficacy of traditional Chinese medicine (TCM) formula classification. This model uses deep learning to analyze the relationship between herb efficacy and formula efficacy, which is helpful in further exploring the internal rules of formula combination. Methods: First, for the TCM herbs extracted from Chinese Pharmacopoeia, natural language processing (NLP) is used to learn and realize the quantitative expression of different TCM herbs. Three features of herb name, herb properties, and herb efficacy are selected to encode herbs and to construct formula-vector and herb-vector. Then, based on 2,664 formulae for stroke collected in TCM literature and 19 formula efficacy categories extracted from Yifang Jijie, an improved deep learning model TextBLCNN consists of a bidirectional long short-term memory (Bi-LSTM) neural network and a convolutional neural network (CNN) is proposed. Based on 19 formula efficacy categories, binary classifiers are established to classify the TCM formulae. Finally, aiming at the imbalance problem of formula data, the over-sampling method SMOTE is used to solve it and the S-TextBLCNN model is proposed. Results: The formula-vector composed of herb efficacy has the best effect on the classification model, so it can be inferred that there is a strong relationship between herb efficacy and formula efficacy. The TextBLCNN model has an accuracy of 0.858 and an F1-score of 0.762, both higher than the logistic regression (acc = 0.561, F1-score = 0.567), SVM (acc = 0.703, F1-score = 0.591), LSTM (acc = 0.723, F1-score = 0.621), and TextCNN (acc = 0.745, F1-score = 0.644) models. In addition, the over-sampling method SMOTE is used in our model to tackle data imbalance, and the F1-score is greatly improved by an average of 47.1% in 19 models. Conclusion: The combination of formula feature representation and the S-TextBLCNN model improve the accuracy in formula efficacy classification. It provides a new research idea for the study of TCM formula compatibility.

Dataset Information

Protective Effect of Traditional Chinese Medicine Formula RP on Lung Microenvironment in Pre-Metastasis Stage of Breast Cancer.

Publications

Protective Effect of Traditional Chinese Medicine Formula RP on Lung Microenvironment in Pre-Metastasis Stage of Breast Cancer.

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