Loss of ERβ in Aging LXRαβ Knockout Mice Leads to Colitis

Xiaoyu Song, Wanfu Wu, Yubing Dai, Margaret Warner, Ivan Nalvarte, Per Antonson, Mukesh Varshney, Jan Åke Gustafsson

Research output: Contribution to journalArticlepeer-review

Abstract

Liver X receptors (LXRα and LXRβ) are oxysterol-activated nuclear receptors that play key roles in cholesterol homeostasis, the central nervous system, and the immune system. We have previously reported that LXRαβ-deficient mice are more susceptible to dextran sodium sulfate (DSS)-induced colitis than their WT littermates, and that an LXR agonist protects against colitis in mice mainly via the regulation of the immune system in the gut. We now report that both LXRα and LXRβ are expressed in the colonic epithelium and that in aging LXRαβ−/− mice there is a reduction in the intensity of goblet cells, mucin (MUC2), TFF3, and estrogen receptor β (ERβ) levels. The cytoplasmic compartment of the surface epithelial cells was markedly reduced and there was a massive invasion of macrophages in the lamina propria. The expression and localization of β-catenin, α-catenin, and E-cadherin were not changed, but the shrinkage of the cytoplasm led to an appearance of an increase in staining. In the colonic epithelium there was a reduction in the expression of plectin, a hemidesmosome protein whose loss in mice leads to spontaneous colitis, ELOVL1, a fatty acid elongase protein coding gene whose overexpression is found in colorectal cancer, and non-neuronal choline acetyltransferase (ChAT) involved in the regulation of epithelial cell adhesion. We conclude that in aging LXRαβ−/− mice, the phenotype in the colon is due to loss of ERβ expression.

Original languageEnglish (US)
Article number12461
JournalInternational journal of molecular sciences
Volume24
Issue number15
DOIs
StatePublished - Aug 2023

Keywords

  • colitis
  • estrogen receptor β
  • inflammatory bowel diseases
  • liver X receptor
  • plectin

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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