What counts in cytometric analysis to document vaccine immunogenicity?

Benson Ogunjimi1, Viggo Van Tendeloo, Pierre Van Damme

  • 1Centre for Health Economics Research and Modeling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium. benson.ogunjimi@ua.ac.be

Insights

Reporting immunogenicity from immune cytometry assays, like flow cytometry, requires absolute cell counts per ml, not just percentages. This ensures accurate comparisons between samples, especially with varying cell concentrations.

Area of Science:

  • Immunology
  • Vaccinology
  • Infectious Diseases

Background:

  • Immune cytometry (e.g., flow cytometry, ELISPOT) is increasingly used alongside antibody titers to assess vaccine and infectious disease immunogenicity.
  • Current reporting often relies on percentages of immune cells, which can be misleading.
  • Peripheral blood mononuclear cell (PBMC) concentrations vary significantly between individuals and over time within individuals.

Purpose of the Study:

  • To advocate for the inclusion of absolute cell counts per ml in reporting immune cytometry data.
  • To demonstrate the limitations of percentage-based reporting for immunogenicity assessments.
  • To highlight the necessity of absolute cell counts for accurate inter- and intra-individual comparisons.

Main Methods:

  • Discussion of a hypothetical example.
  • Analysis of data presentation in immune cytometry.
  • Focus on the impact of peripheral blood mononuclear cell concentration variability.

Main Results:

  • Percentage-based reporting of immune cytometry data can lead to incorrect comparisons.
  • Without absolute cell counts per ml, detection competition renders comparisons impossible when PBMC concentrations differ.
  • Inter-individual and longitudinal variations in PBMC counts necessitate absolute cell count reporting.

Conclusions:

  • Absolute cell counts per ml are essential for accurate interpretation of immune cytometry data in immunogenicity studies.
  • Supplementing percentage data with absolute counts ensures reliable comparisons of immune responses.
  • This approach is critical for vaccine development and infectious disease research.