Literature DB >> 35734779

Analysis of the Effect of Sichs on Gastric Ulcer Rats Based on RNA Sequencing Technique.

Lin Su1, Hong Song1, Ti Ren2, Wen Chen1, Jiaqi Zhang1, Guiyue Wang1, Junfang Yang1, Xin Hou1, Yan Shen1, Xiaogu Liu1.   

Abstract

Objective: To research the mechanism of action and transcriptomic characteristics for the intervention effect of self-made Chaihuang decoction (Sichs) on gastric ulcer (GU) rats with liver qi stagnation and spleen deficiency and to clarify the therapeutic pathway and effective target.
Methods: Thirty SD rats were randomly divided into the control group, model group, and Sichs group (10 rats per group). The model of GU rats with liver qi stagnation and spleen deficiency was established through multifactor compound simulation of traditional Chinese medical (TCM) etiology and acetic acid method. Histopathological changes in the gastric antrum tissue were observed with H&E staining. RNA sequencing (RNA-seq) was utilized to check differentially expressed genes (DEGs) in the gastric antrum tissues of rats, and gene ontology (GO) and KEGG pathway enrichment analyses were performed. The key DEGs were validated using qRT-PCR.
Results: Sichs could ameliorate gastric antrum tissue injury in GU rats with liver qi stagnation and spleen deficiency. After RNA-seq, it was found that Sichs could reverse 225 upregulated genes and 26 downregulated genes in the model group. And the DEGs between the Sichs group and the model group were related to cell division, complement activation, and phospholipase A2 (Pla2g2a) activity. According to KEGG pathway analysis, DEGs between the two groups were mainly enriched in signaling pathways such as cell cycle, p53 signaling pathway, and linolenic acid metabolism. The validation results of the four key DEGs were consistent with the analysis trend of sequencing results.
Conclusion: Sichs can effectively improve GU with liver qi stagnation and spleen deficiency in rats through the signaling pathways related to cell cycle and lipid metabolism.
Copyright © 2022 Lin Su et al.

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Year:  2022        PMID: 35734779      PMCID: PMC9208952          DOI: 10.1155/2022/9325836

Source DB:  PubMed          Journal:  Comput Math Methods Med        ISSN: 1748-670X            Impact factor:   2.809


  15 in total

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