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B and T lymphocytes: methodology and normal ranges.

A B Glassman, C E Bennett

    Annals of Clinical and Laboratory Science
    |November 1, 1977
    PubMed
    Summary
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    This study details methods for differentiating B and T lymphocytes, crucial for diagnosing diseases. Preliminary findings show significant differences in T cell populations in diabetics compared to healthy individuals.

    Area of Science:

    • Immunology
    • Clinical Laboratory Science

    Background:

    • Lymphocyte subpopulations, including B and T cells, are vital for immune function.
    • Differential counts aid in diagnosing immunodeficiency, lymphoproliferative disorders, and other conditions.
    • Clinical demand has led to the routine use of these assays in general laboratories.

    Purpose of the Study:

    • To describe specific methodologies for differentiating B and T lymphocyte subpopulations.
    • To establish reference ranges for T and B cell populations in healthy individuals.
    • To investigate potential alterations in lymphocyte populations in specific disease states.

    Main Methods:

    • Utilized cell markers for the separation and differentiation of B and T lymphocytes.
    • Performed differential lymphocyte subpopulation counts on a cohort of 30 ambulatory normal subjects.

    Related Experiment Videos

  • Examined lymphocyte cell line distributions in a family with a high incidence of carcinoma.
  • Analyzed T cell populations in patients from a diabetic clinic.
  • Main Results:

    • Established mean T cell population at 68.1% ± 4.2% and mean B cell population at 8.4% ± 2.1% in normal subjects.
    • Observed a bi-modal distribution of T and B lymphocyte cell lines in a family with high carcinoma incidence.
    • Identified a statistically significant difference in T cell populations between diabetic patients and normal controls.

    Conclusions:

    • The described methodology enables reliable differentiation of B and T lymphocyte subpopulations.
    • Lymphocyte subpopulation analysis may serve as a valuable diagnostic tool for various diseases.
    • Preliminary data suggests a potential link between altered T cell populations and diabetes mellitus.