Exploring the feasibility of multi-site flow cytometric processing of gut associated lymphoid tissue with centralized

Ian McGowan1, Peter A Anton2, Julie Elliott2

  • 1University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America.

Plos One
|May 27, 2015
PubMed

Insights

Standardized protocols for collecting and analyzing intestinal immune cells (MMC) and peripheral blood mononuclear cells (PBMC) can reduce, but not eliminate, data variability in multi-site studies. Centralized processing may offer more robust results.

Area of Science:

  • Immunology
  • Clinical Trial Methodology

Background:

  • Multi-site clinical studies require consistent data collection for reliable results.
  • Characterizing immune cell phenotypes, particularly T cells in gut-associated lymphoid tissue (GALT), is crucial for understanding immune responses.
  • Flow cytometry is a key technique for immune cell analysis, but inter-site variability can be a challenge.

Purpose of the Study:

  • To assess if standardized protocols minimize variability in flow cytometry data for mucosal mononuclear cells (MMC) and peripheral blood mononuclear cells (PBMC) across two study sites.
  • To evaluate the effectiveness of centralized analysis in reducing data discrepancies in multi-site immunological studies.

Main Methods:

  • Healthy male volunteers provided rectal biopsies for MMC isolation and peripheral blood for PBMC collection at two sites.
  • Standardized protocols for tissue processing, cell isolation, and T cell phenotyping by flow cytometry were implemented.
  • Quality control involved cryopreserved PBMC (qPBMC) from a single donor, with all data analyzed centrally.

Main Results:

  • Overall CD4+ and CD8+ T cell frequencies in qPBMC were equivalent between sites.
  • Significant inter-site differences were observed for most T cell activation and memory subsets in qPBMC, PBMC, and MMC.
  • Standardized protocols reduced, but did not eliminate, variability in flow data.

Conclusions:

  • Centralized processing, flow cytometry, and analysis of samples may yield more robust data in multi-site studies.
  • While standardization helps, complete elimination of variability requires careful consideration of centralized vs. site-specific processing, including sample shipping and cryopreservation logistics.