Revealing therapeutic targets and mechanism of baicalin for anti-chronic gastritis using proteomic analysis of the gastric tissue

Ji, Wanli; Huo, Yan; Wang, Xinhong; Zhang, Yifan

doi:10.1016/j.jchromb.2022.123214

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…Ji et al reported that baicalin participated in several pathways such as mitogen-activated protein kinase (MAPK), phosphatidylinositol 3 kinase (PI3K)-Akt, and NF-κB to reduce the production of IL-2, IL-8, and TNF-α, and to increase the expression of epidermal growth factor and b-cell lymphoma-2. The above results provide important insights into the discovery of potential target proteins for the treatment of CG [ 72 ].…”

Section: Active Ingredient Of Tcm In Treating Chronic Gastritismentioning

confidence: 99%

Treatment of Chronic Gastritis with Traditional Chinese Medicine: Pharmacological Activities and Mechanisms

Chen,

Wei,

et al. 2023

Pharmaceuticals

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Chronic gastritis (CG) is a common clinical digestive system disease, which is not easyily cured and is prone to recurrence. Traditional Chinese medicine (TCM) plays a significant role in the treatment of CG and has attracted increasing attention for clinical applications. In recent years, a large number of reports have shown that TCM has good therapeutic effect on CG. The aim of this paper is to investigate the pharmacological activities and mechanism of action of TCM in the treatment of CAG. Therefore, by searching the databases of Pubmed, China National Knowledge Infrastructure, Wanfang, and Baidu academic databases, this paper has summarized the molecular mechanisms of TCM in improving CG. The results show that the improvement of GC by TCM is closely related to a variety of molecular mechanisms, including the inhibition of Helicobacter pylori (Hp) infection, alleviation of oxidative stress, improvement of gastric function, repair of gastric mucosa, inhibition of inflammatory response, and apoptosis. More importantly, IRF8-IFN-γ, IL-4-STAT6, Hedgehog, pERK1/2, MAPK, PI3K-Akt, NF-κB, TNFR-c-Src-ERK1/2-c-Fos, Nrf2/HO-1, and HIF-1α/VEGF signaling pathways are considered as important molecular targets for TCM in the treatment of GC. These important findings will provide a direction and a basis for further exploring the pathogenesis of GC and tapping the potential of TCM in clinical treatment. This review also puts forward a bright prospect for future research of TCM in the treatment of CG.

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Section: Active Ingredient Of Tcm In Treating Chronic Gastritismentioning

confidence: 99%

Treatment of Chronic Gastritis with Traditional Chinese Medicine: Pharmacological Activities and Mechanisms

Chen,

Wei,

et al. 2023

Pharmaceuticals

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Structural characteristics of a purified Evodiae fructus polysaccharide and its gastroprotection and relevant mechanism against alcohol-induced gastric lesions in rats

Wang,

Hao,

et al. 2024

International Journal of Biological Macromolecules

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Key platelet genes play important roles in predicting the prognosis of sepsis

Shen,

Tao,

Zhu

et al. 2024

Sci Rep

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Sepsis is a life-threatening organ malfunction induced by an imbalanced immunological reaction to infection in the host. Many studies have utilized traditional RNA sequencing (RNA-seq) data to identify important biological targets to predict sepsis prognosis. However, alterations in core cells and functional status cannot be effectively detected in sepsis patients. The goal of this study was to identify key cells through single-cell RNA-seq (scRNA-seq), and combine bulk RNA-seq data and multiple algorithm analysis to construct a stable prognostic model for sepsis. The scRNA-seq and bulk RNA-seq data from sepsis patients were collected from the Gene Expression Omnibus (GEO) database. The R package “Seurat” was used to process the scRNA-seq data. Cell communication was investigated using the R package “CellChat”. The pseudo-time of the cells was calculated using the R package “monocle”. The R package “limma” was used to identify differentially expressed genes (DEGs) between the sepsis group and the control group. Weighted gene correlation network analysis (WGCNA) was used to identify critical modules. Eight kinds of machine learning and 90 algorithm combinations were used to construct the prognostic model for sepsis. Quantitative real-time PCR (qRT‒PCR) was performed to determine the expression of key genes in the cecal ligation and puncture (CLP)-induced sepsis mouse model. The immunological status and related properties of DEGs were then investigated in the high- and low-risk groups delineated by the model. By combining the scRNA-seq data from nine samples, 13 clusters and 9 cell types were identified. CellChat analysis revealed that the number and strength of interactions between platelets and a variety of cells increased. We identified key platelet genes from the scRNA-seq data and combined these genes and the results of differential analysis and WGCNA of the bulk RNA-seq data. After univariate Cox regression analysis, we calculated the Cindex of the model constructed by the combination of 90 algorithms, and we finally determined the “CoxBoost + Lasso” combination. Multivariate Cox regression was used to construct the final prognostic model. The qRT-PCR results revealed significant differences in five key prognostic genes between the CLP and sham groups. The data was classified into high- and low-risk groups based on the model score. The high-risk group had a poorer survival rate and less immune infiltration. We identified the importance of platelets in sepsis patients through scRNA-seq, and established prognostic models with key genes that were identified via scRNA-seq combined with bulk RNA-seq analysis. The results of this model were closely associated with patient survival rates and immunological status and this model is useful for the prognostic management of sepsis. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-74052-w.

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Revealing therapeutic targets and mechanism of baicalin for anti-chronic gastritis using proteomic analysis of the gastric tissue

Cited by 4 publications

References 33 publications

Treatment of Chronic Gastritis with Traditional Chinese Medicine: Pharmacological Activities and Mechanisms

Treatment of Chronic Gastritis with Traditional Chinese Medicine: Pharmacological Activities and Mechanisms

Structural characteristics of a purified Evodiae fructus polysaccharide and its gastroprotection and relevant mechanism against alcohol-induced gastric lesions in rats

Key platelet genes play important roles in predicting the prognosis of sepsis

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