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Published on: September 16, 2012
Developing an expert system for immunophenotypical diagnosis in immunodeficiency. Age-related reference values of
N Regéczy1, G Görög, K Pálóczi
1Research Group of Hungarian Academy of Sciences, National Institute of Haematology and Immunology, Daróczi u. 24, H-1113 Budapest, Hungary. nregeczy@ohvi.hu
Insights
This study analyzed lymphocyte subpopulations in healthy Hungarian subjects across age groups using flow cytometry. Findings reveal age-related changes in T cell subsets, informing a new diagnostic algorithm for immunodeficiency.
Area of Science:
- Immunology
- Clinical Diagnostics
- Computational Biology
Background:
- Accurate assessment of lymphocyte subpopulations is crucial for diagnosing immunodeficiency.
- Flow cytometry is a key technique for immunophenotyping, but data interpretation can be complex.
- Establishing age-specific reference values for lymphocyte subsets is essential for accurate clinical interpretation.
Purpose of the Study:
- To establish reference values for lymphocyte subpopulations in a healthy Hungarian population.
- To investigate age-related changes in lymphocyte subsets using flow cytometric data.
- To develop a pilot diagnostic algorithm for immunodeficiency detection based on flow cytometry.
Main Methods:
- Collected peripheral blood samples from 273 healthy Hungarian subjects across five age groups (0-99 years).
- Performed two-color flow cytometric analysis using Becton Dickinson Simultest IMK Plus kit.
- Analyzed lymphocyte subpopulations including B cells, T cell subsets (CD4, CD8), activated T cells, and LGL-NK cells.
Main Results:
- B lymphocyte frequency was highest in the youngest subjects, with no significant age-related changes in older groups.
- Significant age-related variations were observed in T cell subsets (CD4, CD8), activated T cells, and LGL-NK cells.
- Developed a knowledge-based diagnostic algorithm comparing measured frequencies to generated reference values.
Conclusions:
- Age-specific reference values for lymphocyte subpopulations are critical for accurate immunodeficiency diagnosis.
- The developed diagnostic algorithm and reference values can aid in standardizing and interpreting flow cytometry results.
- This approach facilitates the diagnosis of immunodeficiency by providing a structured comparison of patient data.
Abstract:
In the process of developing a decision support system based on flow cytometric data for the diagnosis of immunodeficiency, assessment of lymphocyte subpopulations in human peripheral blood provides the key for further analysis. Samples from 273 'healthy' Hungarian subjects were measured between 1998 and 1999. Immunophenotypic data are compared here (unadjusted for gender) by different age groups: I 0-6 years (n=45); II 7-18 years (n=71); III 19-35 years (n=72); IV 36-55 years (n=48); and V 56-99 years (n=37). Two-color flow cytometric analysis was performed using the Becton Dickinson Simultest IMK Plus kit (CD45/CD14, isotype control, CD3/CD19, CD4/CD8, CD3/HLA-DR, CD3/CD16+56). All lymphocyte subpopulations were measured in all blood samples identically. The quality criteria involved at least 95% of total lymphocytes in the analysis gate, homogenous CD45+ lymphocyte population (minimum of 2000 events in the gate, CD45+ >95%). The frequency of B lymphocytes was the highest, significantly, in the youngest Hungarian subjects, but there were no significant changes with age comparing the data of other II-V age groups. On the other hand, some T subpopulations changed with aging; both CD4 and CD8 subsets varied over time including the elevation of the fraction of activated T cells as well as LGL-NK cells. Some of these changes were significant by statistical tests. Interpretation of flow cytometric data is time-consuming and requires human knowledge of an expert laboratory staff. To facilitate the diagnosis of immunodeficiency, a pilot study aiming at the development of a diagnostic algorithm has been initiated. Algorithm nodes compare the frequency of each lymphocyte subpopulations to the generated reference values. This knowledge-based system describes a short summary report as a result of the comparison, and points to some values requiring further human examination to reach a final conclusion. These reference values and the expert system appear to be a recommended basis for comparing and combining results from different laboratories.
