Skip to main navigation Skip to search Skip to main content

Mesothelial cell autoantibodies upregulate transcription factors associated with fibrosis

  • John Gilmer
  • , Tanner Harding
  • , Linda Woods
  • , Brad Black
  • , Raja Flores
  • , Jean Pfau

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Amphibole asbestos exposure is associated with the production of mesothelial cell autoantibodies (MCAA). These MCAA have been linked with pleural fibrotic disease in the asbestos exposed community of Libby, Montana, and induce collagen deposition by cultured mesothelial cells. However, the exact intracellular mechanism by which these autoantibodies cause an increase in collagen deposition remains unknown. This study sought to gain insight into the transcription factors involved in the collagen production after human mesothelial cells are exposed to MCAA. In this study, transcription factor activation profiles were generated from human mesothelial cells (Met5A) treated with serum from Libby subjects, and were compared to cells treated with serum cleared of IgG, and therefore containing no MCAA. Analysis of those profiles indicated C/EBP-beta and hypoxia inducible factor 1 alpha (HIF-1α) are significantly increased in the nucleus, indicating activation, due to MCAA exposure compared to controls. Inhibition of either of these transcription factors significantly reduced collagen 1 deposition by these cells following exposure to MCAA. These data suggest autoantibodies are directly involved in type I collagen deposition and may elucidate potential therapeutic targets for autoantibody mediated fibrosis.

Original languageEnglish
Pages (from-to)10-17
Number of pages8
JournalInhalation Toxicology
Volume29
Issue number1
DOIs
StatePublished - 2 Jan 2017

Keywords

  • Amphibole asbestos
  • autoimmunity
  • pleural fibrosis

Fingerprint

Dive into the research topics of 'Mesothelial cell autoantibodies upregulate transcription factors associated with fibrosis'. Together they form a unique fingerprint.

Cite this