Phenotyping of epidermal dendritic cells: clinical applications of a flow cytometric micromethod

Cytometry. 1999 Oct 1;37(2):147-55.

Abstract

Background: The differential diagnosis of inflammatory skin diseases is largely based on the patient's history and the morphological analysis of the skin lesion. Laboratory data, such as serum IgE-level and prick and patch tests, may be helpful but do not assess individual lesions. The assumption of our approach is that each individual lesion is associated with a specific microenvironment and that the immunophenotype of the two epidermal dendritic cell populations, Langerhans cells (LC) and inflammatory dendritic epidermal cells (IDEC), reflects this environment in a disease-specific manner.

Methods: A flow cytometric micromethod was developed to directly analyze individual inflammatory human skin lesions. Crude epidermal single cell suspensions were prepared by trypsinization, stained for three-color analysis with different monoclonal antibodies and the vital stain 7-amino-actinomycin-D, and finally analyzed on a single laser equipped FACScan flow cytometer.

Results: With a limited set of cell surface markers, such as FcepsilonRI, FcgammaRII/CD32, CD1b and CD36, highly specific diagnostic criteria for atopic dermatitis and inflamed human skin could be established.

Conclusions: Phenotyping of epidermal dendritic cells is a useful procedure helpful in differential diagnosis of inflammatory skin diseases.

MeSH terms

  • Antigens, CD1 / analysis
  • Biomarkers / analysis
  • Biopsy
  • CD36 Antigens / analysis
  • Dendritic Cells / immunology*
  • Dendritic Cells / pathology
  • Dermatitis / immunology
  • Dermatitis / pathology*
  • Flow Cytometry / methods*
  • Humans
  • Immunophenotyping
  • Lymphoma, T-Cell, Cutaneous / immunology
  • Lymphoma, T-Cell, Cutaneous / pathology
  • Receptors, IgE / metabolism*
  • Receptors, IgG / analysis
  • Skin / cytology*
  • Skin / pathology
  • Skin Neoplasms / immunology
  • Skin Neoplasms / pathology
  • Up-Regulation

Substances

  • Antigens, CD1
  • Biomarkers
  • CD36 Antigens
  • Receptors, IgE
  • Receptors, IgG