Growth and/or Recruitment of a Novel Cell Population with Neural Crest Origin in Lung Fibrosis

Abstract

Pulmonary fibrosis is a debilitating disease characterized by progressive scarring of the lung, which destroys normal lungstructure and leads to respiratory failure and death Abnormally increased fibroblasts/myofibroblasts is one of the key pathologicalchanges in lung fibrosis. The origins of these abnormal lung fibroblasts/myofibroblasts are highly heterogeneous. In this project,we plan to determine whether abnormal growth and/or recruitment of a neural crest derived mesenchymal cell populationcontribute to lung fibrosis. In the past year, we have generated a transgenic reporter mouse line in which neural crest-derivedcells were genetically labeled. In normal situation, neural crest-derived cells were detected as nerve fibers adjacent to airwaysmooth muscles. In contrast, in some bleomycin-induced fibrosis lungs, clusters of neural crest derived cells were detected. Thisabnormal cellular phenotype varied, and the potential factors affecting this change are currently under investigation. In addition,circulating neural crest-derived mesenchymal progenitor cells were detected in a few fibrosis mice by peripheral bloodmononuclear cell isolation and selective culture. These cultured cells, which were negative for epithelium-marker, were MSClike progenitors and able to differentiate to other type cells.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2022
Accession Number
AD1173403

Entities

People

  • Wei Shi

Organizations

  • Children's Hospital Los Angeles

Tags

DTIC Thesaurus Topics

  • Biological Staining And Labeling
  • Biomedical Research
  • Buildings And Structures
  • Cells
  • Culture Techniques
  • Cultured Cells
  • Department Of Defense
  • Diseases And Disorders
  • Embryos
  • Fibroblasts
  • Fibrosis
  • Health Services
  • Hospitals
  • Lung Diseases
  • Maryland
  • Medical Personnel
  • Muscle Cells
  • Peripheral Nervous System
  • Professional Development
  • Stem Cells
  • Technology Transfer

Fields of Study

  • Biology
  • Medicine

Readers

  • Immunology and Pathology
  • Neural Network Machine Learning.

Technology Areas

  • Biotechnology