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Identification and quantification of high fluorescence‐stained lymphocytes as antibody synthesizing/secreting cells using the automated routine hematology analyzer XE‐2100
Author(s) -
Linssen J.,
Jennissen V.,
Hildmann J.,
Reisinger E.,
Schindler J.,
Malchau G.,
Nierhaus A.,
Wielckens K.
Publication year - 2007
Publication title -
cytometry part b: clinical cytometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 61
eISSN - 1552-4957
pISSN - 1552-4949
DOI - 10.1002/cyto.b.20150
Subject(s) - hematology analyzer , hematology , fluorescence , identification (biology) , spectrum analyzer , antibody , pathology , chemistry , chromatography , computational biology , medicine , microbiology and biotechnology , biology , immunology , computer science , physics , telecommunications , botany , quantum mechanics
Objectives: The aim of this study was to classify and quantify the high fluorescence lymphocytes area (HFL‐count) from the SYSMEX XE‐2100 leucocyte differential channel as antibody‐synthesizing or ‐secreting cells (ASC, plasma cells or lymphoplasmacytoid cells) in reactive diseases. To unequivocally identify the HFL cells, all possibly eligible cell populations have been investigated: activated B‐lymphocytes, activated T‐lymphocytes, large granular lymphocytes (LGL), activated monocytes, and immature granulocytes. Methods: In total, 85 patients were analyzed on the XE‐2100 and compared with the automated image analysis system Cellavision Diffmaster 96 based on artificial neural network and immunophenotyping method with the BD FACSCalibur™. Results: Reproducibility tests for HFL demonstrated a mean coefficient of variation of 13.9% for very low results and 1.5% for high results. The linearity data showed a good correlation ( R 2 = 0.99) between expected and measured HFL. The comparison with possibly eligible cell populations showed no significant correlation between activated monocytes and immature granulocytes, with most immature granulocytes (promyelocyte I or II), natural killer cells or LGLs, activated T‐lymphocytes, and sub‐T‐lymphocytes populations. However, for activated B‐lymphocytes an excellent significant correlation with the peripheral blood smear, and the immunophenotyping method has been found with R 2 = 0.900, P < 0.001 and R 2 = 0.897, P < 0.001, respectively. The slope of 1.1 and intercept of minus 5 cells/μL of the regression equation between HFL‐count and ASC (smear) do indicate an excellent quantification of the HFL‐count, as well. Conclusion: The fully automated SYSMEX XE‐2100 HFL‐count identifies and quantifies the ASC cells (activated B‐lymphocytes) with high precision and reliability in patients without hematology system diseases, thus providing a potential screening and monitoring tool for any patient with suspected infection. Additional studies are required to comprehend in more detail the full clinical utility of an HFL (ASC) count as a potential diagnostic indicator of inflammation, infection, or sepsis. © 2007 International Society for Analytical Cytology