Identification of Potential Hub Genes Related to Acute Pancreatitis and Chronic Pancreatitis via Integrated Bioinformatics Analysis and In Vitro Analysis

被引:0
|
作者
Yuan, Lu [1 ]
Liu, Yiyuan [1 ]
Fan, Lingyan [2 ]
Sun, Cai [1 ]
Ran, Sha [1 ]
Huang, Kuilong [1 ]
Shen, Yan [1 ]
机构
[1] Chongqing Univ Technol, Sch Pharm & Bioengn, Chongqing 400054, Peoples R China
[2] Univ Hlth & Rehabil Sci, Qingdao Cent Hosp, Qingdao Cent Med Grp, Qingdao 266042, Peoples R China
关键词
Acute pancreatitis; Chronic pancreatitis; Helper T-cell factor signaling pathway; Hub genes; T-CELLS; RISK; TH17; SMOKING;
D O I
10.1007/s12033-024-01118-5
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Acute pancreatitis (AP) and chronic pancreatitis (CP) are considered to be two separate pancreatic diseases in most studies, but some clinical retrospective analyses in recent years have found some degree of correlation between the two in actual treatment, however, the exact association is not clear. In this study, bioinformatics analysis was utilized to examine microarray sequencing data in mice, with the aim of elucidating the critical signaling pathways and genes involved in the progression from AP to CP. Differential gene expression analyses on murine transcriptomes were conducted using the R programming language and the R/Bioconductor package. Additionally, gene network analysis was performed using the STRING database to predict correlations among genes in the context of pancreatic diseases. Functional enrichment and gene ontology pathways common to both diseases were identified using Metascape. The hub genes were screened in the cytoscape algorithm, and the mRNA levels of the hub genes were verified in mice pancreatic tissues of AP and CP. Then the drugs corresponding to the hub genes were obtained in the drug-gene relationship. A set of hub genes, including Jun, Cd44, Epcam, Spp1, Anxa2, Hsp90aa1, and Cd9, were identified through analysis, demonstrating their pivotal roles in the progression from AP to CP. Notably, these genes were found to be enriched in the Helper T-cell factor (Th17) signaling pathway. Up-regulation of these genes in both AP and CP mouse models was validated through quantitative real-time polymerase chain reaction (qRT-PCR) results. The significance of the Th17 signaling pathway in the transition from AP to CP was underscored by our findings. Specifically, the essential genes driving this progression were identified as Jun, Cd44, Epcam, Spp1, Anxa2, Hsp90aa1, and Cd9. Crucial insights into the molecular mechanisms underlying pancreatitis progression were provided by this research, offering promising avenues for the development of targeted therapeutic interventions.
引用
收藏
页码:1188 / 1200
页数:13
相关论文
共 50 条
  • [1] Identification of hub genes and pathways in acute pancreatitis by bioinformatics analysis
    Li, Yuexian
    Su, Zhou
    Jiang, Mei
    Feng, Yong
    Qin, Mengbin
    Liang, Zhihai
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2023, 38 : 97 - 97
  • [2] Identification of hub genes and pathways in acute pancreatitis by bioinformatics analysis
    Li, Yuexian
    Su, Zhou
    Jiang, Mei
    Feng, Yong
    Qin, Mengbin
    Liang, Zhihai
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2023, 38 : 97 - 97
  • [3] Identification of Acute Pancreatitis-Related Genes and Pathways by Integrated Bioinformatics Analysis
    Fan, Liya
    Hui, Xiaoliang
    Mao, Ying
    Zhou, Jun
    DIGESTIVE DISEASES AND SCIENCES, 2020, 65 (06) : 1720 - 1732
  • [4] Identification of Acute Pancreatitis-Related Genes and Pathways by Integrated Bioinformatics Analysis
    Liya Fan
    Xiaoliang Hui
    Ying Mao
    Jun Zhou
    Digestive Diseases and Sciences, 2020, 65 : 1720 - 1732
  • [5] Identification of hub genes in chronic pancreatitis and analysis of association with pancreatic cancer via bioinformatic analysis
    Li, Hongxuan
    Hao, Chenjun
    Yang, Qiu
    Gao, Wenqi
    Ma, Biao
    Xue, Dongbo
    GENERAL PHYSIOLOGY AND BIOPHYSICS, 2022, 41 (01) : 15 - 30
  • [6] Identification of Potential Hub Genes for Acupuncture in Treatment with Chronic Obstructive Pulmonary Disease via Integrated Bioinformatics Analysis
    Liu, Yang
    Tian, Yange
    Guan, Qingzhou
    Zhang, Lanxi
    Liao, Yixi
    Jin, Fanli
    Shao, Xuejie
    Li, Jiansheng
    EUROPEAN RESPIRATORY JOURNAL, 2024, 64
  • [7] Bioinformatics Analysis of Differentially Expressed Genes and Related Pathways in Acute Pancreatitis
    Zhong, Rui
    Luo, Xujuan
    Xu, Jin
    Jiang, Xin
    Yan, Yongfeng
    Shi, Xiaomin
    Peng, Yan
    Tang, Xiaowei
    Fu, Xiangsheng
    PANCREAS, 2022, 51 (07) : 821 - 829
  • [8] Identification of hub genes and pathophysiological mechanism related to acute unilateral vestibulopathy by integrated bioinformatics analysis
    Cheng, Yajing
    Zheng, Jianrong
    Zhan, Ying
    Liu, Cong
    Lu, Bihua
    Hu, Jun
    FRONTIERS IN NEUROLOGY, 2022, 13
  • [9] Integrated bioinformatics analysis for the identification of hub genes and signaling pathways related to circANRIL
    Qin, Qiuyan
    Zheng, Pengfei
    Tu, Ronghui
    Huang, Jiegang
    Cao, Xiaoli
    PEERJ, 2022, 10
  • [10] Identification of hub genes and biological pathways in glioma via integrated bioinformatics analysis
    Chen, Lulu
    Sun, Tao
    Li, Jian
    Zhao, Yongxuan
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2022, 50 (06)