The intervention effect of Aitongxiao prescription on primary liver cancer rats was evaluated based on high-throughput miRNA sequencing and bioinformatics analysis

被引:1
|
作者
Xu, Lijing [1 ]
Cheng, Jinlai [2 ]
Li, Zhuoxian [1 ]
Wen, Xiaoyu [3 ]
Sun, Yuhao [4 ]
Xia, Meng [1 ]
Leng, Jing [1 ,5 ]
机构
[1] Guangxi Univ Chinese Med, Basic Med Coll, Nanning, Peoples R China
[2] China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing, Peoples R China
[3] Guilin Life & Hlth Career Tech Coll, Rehabil Coll, Guilin, Peoples R China
[4] Univ Gottingen, Inst Microbiol & Genet, Dept Mol Genet, Gottingen, Germany
[5] Guangxi Univ Chinese Med, Guangxi Key Lab Translat Med Treating High Inciden, Nanning, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
基金
中国国家自然科学基金;
关键词
Aitongxiao prescription; primary liver cancer; exosomal microRNAs; high-throughput sequencing; bioinformatics analysis; HEPATOCELLULAR-CARCINOMA PROLIFERATION; EXOSOMES; EXPRESSION; INVASION; MIGRATION; CELLS; RECURRENCE; MICRORNAS; PROGNOSIS; BIOMARKER;
D O I
10.3389/fonc.2023.1050069
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Liver cancer is a common malignant tumor known for its difficult treatment and poor prognosis. As a traditional Chinese medicine prescription, Aitongxiao prescription (ATXP) has been used in clinical treatment of primary liver cancer (PLC) for more than ten years, and its therapeutic effect is obvious and has been verified over time. However, the mechanism of ATXP in treating PLC has not been fully elucidated. This study aimed to detect the liver-protective effect of ATXP on a PLC rat model and explore its potential mechanism from the perspective of plasma extracellular vesicle miRNAs. Fifty SPF male SD rats were randomly selected, with six rats as the control group, and the remaining rats were injected with DEN to establish a primary liver cancer model. The model rats were randomly divided into the model group and the ATXP group. After 4 weeks of intervention, the liver-protective effect of ATXP was evaluated using plasma biochemical indicators and histopathological methods. Plasma extracellular vesicles were isolated and extracted, and identified by transmission electron microscopy, nanoparticle tracking analysis, and western blot. Significant differentially expressed miRNAs in extracellular vesicles were screened by Illumina sequencing to explore the therapeutic targets of ATXP and conduct functional analysis. The results showed that ATXP significantly reduced plasma liver function in PLC rats and alleviated liver pathological damage. In addition, plasma extracellular vesicles were isolated and identified. According to the results of GO and KEGG analysis, they were related to multiple biological processes and covered multiple signaling pathways (PI3K-Akt and MAPK signaling pathways, etc.). The interaction between miR-199a-3p and MAP3K4 was determined by bioinformatics methods and dual-luciferase reporter gene detection, confirming that MAP3K4 is the target gene of miR-199a-3p. In conclusion, ATXP protects the liver from DEN-induced PLC, which may be related to the regulation of plasma extracellular vesicle miR-199a-3p. This study further reveals the mechanism of ATXP in treating liver cancer and provides a theoretical basis for subsequent research.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
    Sun, Yan
    Wang, Lin
    Guo, Sheng-Chao
    Wu, Xiao-Bing
    Xu, Xue-Hu
    ONCOLOGY LETTERS, 2014, 8 (02) : 711 - 713
  • [2] Transcriptome analysis of tongue cancer based on high-throughput sequencing
    Tang, Mingming
    Dai, Wencheng
    Wu, Hao
    Xu, Xinjiang
    Jiang, Bin
    Wei, Yingze
    Qian, Hongyan
    Han, Liang
    ONCOLOGY REPORTS, 2020, 43 (06) : 2004 - 2016
  • [3] Construction of circRNA-miRNA-mRNA Network Involved in Pituitary Adenoma using High-Throughput Sequencing and Bioinformatics Analysis
    Chen, Ping
    Zhao, Xingli
    LI, Jialin
    Wang, Xuejie
    Fu, R.
    Hu, G. S.
    Wu, Xiaonan
    Wang, Z. F.
    INDIAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2023, 85 : 124 - 136
  • [4] Identification of Transport Stress miRNAs in Beef Cattle by High-Throughput Sequencing and Bioinformatics Functional Analysis
    Guo, Jingru
    Yuan, Jianbin
    Liu, Hong Rui
    Lian, Shuai
    Ji, Hong
    Zhen, Li
    Zhang, Xu
    Li, Shize
    Yang, Huanmin
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2020, 23 (03) : 589 - 596
  • [5] Analysis options for high-throughput sequencing in miRNA expression profiling
    Stokowy T.
    Eszlinger M.
    Świerniak M.
    Fujarewicz K.
    Jarza̧b B.
    Paschke R.
    Krohn K.
    BMC Research Notes, 7 (1)
  • [6] Identification and verification of key genes in varicocele rats through high-throughput sequencing and bioinformatics analysis
    Zhu, Jun
    Ou, Ningjing
    Song, Yuxuan
    Hu, Rui
    Zhang, Wei
    Liang, Zhen
    Yang, Yongjiao
    Liu, Xiaoqiang
    ANDROLOGIA, 2020, 52 (09)
  • [7] Identification and characterization of microRNAs in Eucheuma denticulatum by high-throughput sequencing and bioinformatics analysis
    Gao, Fan
    Nan, Fangru
    Feng, Jia
    Lv, Junping
    Liu, Qi
    Xie, Shulian
    RNA BIOLOGY, 2016, 13 (03) : 343 - 352
  • [8] High-Throughput miRNA Sequencing Reveals a Field Effect in Gastric Cancer and Suggests an Epigenetic Network Mechanism
    Assumpcao, Monica B.
    Moreira, Fabiano C.
    Hamoy, Igor G.
    Magalhaes, Leandro
    Vidal, Amanda
    Pereira, Adenilson
    Burbano, Rommel
    Khayat, Andre
    Silva, Artur
    Santos, Sidney
    Demachki, Samia
    Ribeiro-dos-Santos, Andrea
    Assumpcao, Paulo
    BIOINFORMATICS AND BIOLOGY INSIGHTS, 2015, 9 : 111 - 117
  • [9] Identification of MicroRNAs from Eugenia uniflora by High-Throughput Sequencing and Bioinformatics Analysis
    Guzman, Frank
    Almerao, Mauricio P.
    Koerbes, Ana P.
    Loss-Morais, Guilherme
    Margis, Rogerio
    PLOS ONE, 2012, 7 (11):
  • [10] Comparative analysis of miRNA and mRNA abundance in determinate cucumber by high-throughput sequencing
    Ma, Chao
    Yang, Jingjing
    Cheng, Qing
    Mao, Aijun
    Zhang, Jian
    Wang, Shiping
    Weng, Yiqun
    Wen, Changlong
    PLOS ONE, 2018, 13 (01):