Determining the optimal time for peripheral blood stem cell harvest by detecting immature cells (immature leukocytes

H Mougi1, K Shinmyozu, M Osame

  • 1Division of Blood Transfusion Medicine, Kagoshima University Hospital, Japan.

Insights

New autoanalyzer parameters, immature leukocyte information (IMI) and high fluorescence reticulocyte (HFR)-positive rates, can help determine the optimal time for peripheral blood stem cell harvest (PBSCH) and quantify stem cells.

Area of Science:

  • Hematology
  • Stem Cell Biology
  • Clinical Diagnostics

Background:

  • Peripheral blood stem cell harvest (PBSCH) timing is crucial for successful transplantation.
  • Conventional methods like CD34 measurement by flow cytometry (FCM) have limitations.
  • Newer automated cell analyzers offer potential for improved assessment.

Purpose of the Study:

  • To evaluate the utility of immature hematopoietic cell detection for optimizing PBSCH timing.
  • To compare novel autoanalyzer parameters with established CD34+ cell counts.
  • To assess the correlation of new parameters with stem cell potency.

Main Methods:

  • Utilized multi-item autoanalyzers to detect immature leukocytes and reticulocytes.
  • Calculated immature leukocyte information (IMI)-positive and high fluorescence reticulocyte (HFR)-positive rates.
  • Compared these rates with CD34+ cell counts via FCM and colony-forming unit assays (CFU-GM, CFU-Mix).

Main Results:

  • Both IMI-positive and HFR-positive rates showed positive correlations with CD34+ cell rates.
  • These novel parameters demonstrated stronger correlations with colony forming units-mixed (CFU-Mix) counts in peripheral blood.
  • IMI and HFR also correlated with colony forming units-granulocyte/macrophage (CFU-GM) and CFU-Mix in harvested stem cells.

Conclusions:

  • Immature leukocyte information (IMI) and high fluorescence reticulocyte (HFR) rates are promising indicators for PBSCH timing.
  • These parameters may serve as effective tools for quantifying stem cell yield and potency.
  • Automated cell analysis offers a potentially more efficient approach to PBSCH optimization.

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