Literature DB >> 31115536

Bioinformatics‑based identification of key pathways and candidate genes for estrogen‑induced intrahepatic cholestasis using DNA microarray analysis.

Dong Xiang1, Yanjiao Xu1, Wenxi He1, Jinyu Yang1, Chengliang Zhang1, Dong Liu1.   

Abstract

Estrogen‑induced intrahepatic cholestasis (EIC) has increased incidence during pregnancy, and within women taking oral contraception and postmenopausal hormone replacement therapy. However, the pathology underlying EIC is not well understood. The aim of the present study was to identify key pathways and candidate genes in estrogen‑induced intrahepatic cholestasis (EIC) that may be potential targets for diagnosis and treatment. A whole‑genome microarray (4x44K) analysis of a 17α‑ethinylestradiol (EE)‑induced EIC rat liver model was performed. Bioinformatics‑based methods were used to identify key pathways and candidate genes associated with EIC. The candidate genes were validated using a reverse transcription quantitative polymerase chain reaction assay. A total of 455 genes were differentially expressed (P<0.05 and fold change >2.0) following EE treatment, including 225 downregulated genes and 230 upregulated genes. Sulfotransferase family 1E member 1, cytochrome P450 family 3 subfamily A member 2, carbonic anhydrase 3, leukotriene C4 synthase and ADAM metallopeptidase domain 8 were the 5 candidate genes identified to be differentially expressed and involved in the metabolism of estrogens and bile acids and the regulation of inflammation and oxidative stress. The Analyses of Gene Ontology enrichment, Kyoto Encyclopedia of Genes and Genomes pathways and protein‑protein interaction network associated‑modules identified several key pathways involved in the homeostasis of lipids and bile acids and in AMPK, p53 and Wnt signaling. These key pathways and candidate genes may have critical roles in the pathogenesis of EIC. In addition, reversing the abnormal expression of candidate genes or restoring the dysfunction of key pathways may provide therapeutic opportunities for patients with EIC.

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Year:  2019        PMID: 31115536     DOI: 10.3892/mmr.2019.10256

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  2 in total

1.  Serum microRNAs as non-invasive diagnostic biomarkers for intrahepatic cholestasis of pregnancy.

Authors:  Yue Zu; Sheng Guo; Guodong Li; Qianyan Gao; Ximin Wang; Chengliang Zhang; Dong Liu
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

2.  Activation of natural killer T cells contributes to Th1 bias in the murine liver after 14 d of ethinylestradiol exposure.

Authors:  Meng-Zhi Zou; Wei-Chao Kong; Heng Cai; Meng-Tao Xing; Zi-Xun Yu; Xin Chen; Lu-Yong Zhang; Xin-Zhi Wang
Journal:  World J Gastroenterol       Date:  2022-07-14       Impact factor: 5.374

  2 in total

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