Isolation of a circulating CD45-, CD34dim cell population and validation of their endothelial phenotype

Margaret M Tropea, Bonnie J A Harper, Grace M Graninger

  • 1Michael A. Solomon, MD, Critical Care Medicine Department, Clinical Center, National Institutes of Health, Building 10, Room 2C145, Bethesda, MD 20892-1662, USA, Tel.: +1 301 496 9320, Fax: +1 301 402 1213,

Insights

Detecting circulating endothelial cells (CECs) is crucial for vascular health monitoring. This study identifies CECs using CD45-, CD34dim markers, revealing they are senescent cells lacking CD146 and RNA for analysis, emphasizing validation needs.

Area of Science:

  • Vascular Biology
  • Cell Biology
  • Biomarker Discovery

Background:

  • Circulating endothelial cells (CECs) are proposed biomarkers for vascular endothelium injury.
  • Current methodologies for CEC detection lack standardization and secondary validation.
  • Identifying reliable CEC markers is essential for clinical applications.

Purpose of the Study:

  • To identify and characterize CECs in healthy adult humans using flow cytometry.
  • To validate CEC identification markers and assess cell viability and phenotype.
  • To investigate the molecular characteristics of identified CECs for transcriptomal analysis.

Main Methods:

  • Flow cytometry was used to identify CECs based on CD45-, CD34dim expression.
  • 7-aminoactinomycin D (7-AAD) was used to exclude dead cells.
  • Immunostaining, light microscopy, and ultramicro analytical immunochemistry were employed for characterization.

Main Results:

  • A CEC population identified as CD45-, CD34dim, 7-AAD- was found.
  • These CECs lacked CD146, a common CEC marker, and had no clearly defined nucleus.
  • Cells expressed endothelial markers (lectin Ulex europaeus, vWF, CD31, CD34, CD105, etc.) but contained degraded RNA.

Conclusions:

  • The majority of CECs in healthy individuals are senescent cells lacking CD146 and sufficient RNA for transcriptomal analysis.
  • The identified CECs (CD45-, CD34dim, 7-AAD-) represent a distinct population requiring careful validation.
  • This study underscores the critical need for secondary validation in CEC detection methodologies.

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