The influence of age, race, and gender on peripheral blood mononuclear-cell subsets in healthy nonsmokers

DJ Tollerud, JW Clark, LM Brown, CY Neuland… - Journal of clinical …, 1989 - Springer
DJ Tollerud, JW Clark, LM Brown, CY Neuland, LK Pankiw-Trost, WA Blattner, RN Hoover
Journal of clinical immunology, 1989Springer
To investigate the influence of age, race, and gender on the cellular immune system, we
determined T-cell, B-cell, monocyte, natural killer (NK)-cell, and HLA-DR+-cell subsets in
266 nonsmokers from a population-based random sample of healthy adults using
monoclonal antibodies and flow cytometry. Blacks had a lower total white blood-cell count
than whites (P≤ 0.0001), due primarily to a decrease in granulocytes. There was no
significant difference in absolute lymphocyte count between blacks and whites. Blacks had a …
Abstract
To investigate the influence of age, race, and gender on the cellular immune system, we determined T-cell, B-cell, monocyte, natural killer (NK)-cell, and HLA-DR+-cell subsets in 266 nonsmokers from a population-based random sample of healthy adults using monoclonal antibodies and flow cytometry. Blacks had a lower total white blood-cell count than whites (P≤0.0001), due primarily to a decrease in granulocytes. There was no significant difference in absolute lymphocyte count between blacks and whites. Blacks had a higher proportion of CD19+ cells (Leu 12+ B cells) and a lower proportion of CD3+ cells (OKT3+ T cells) than whites (P≤0.01). Female sex and increasing age were independently associated with an increased percentage of CD4+ cells (OKT4A+ helper-inducer T-cell subset), resulting in a higher helper/suppressor ratio among women and older individuals (P≤0.05). Black race and increasing age were independently associated with an increased proportion of HLA-DR+ cells (P≤0.0001) which was not attributable to B cells or monocytes. No significant age, race, or gender effects were observed for CD14+ cells (Leu M3+ monocytes) or CD16+ cells (Leu 11A+ natural killer cells). These data demonstrate that age, race, and gender are each associated with significant differences in peripheral blood monouclear-cell subsets. Population-based data such as these provide an important foundation for future design and interpretation of human flow cytometry data.
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