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DOI 10.1002/jcla.23156

Медицинская библиотека · Journal of clinical laboratory analysis · 2019

Age-related changes in lymphocyte subpopulations in healthy Thai children.

Lerkvaleekul Butsabong, Apiwattanakul Nopporn, Klinmalai Chompunuch, Hongeng Suradej, Vilaiyuk Soamarat

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Аннотация

BACKGROUND

Ethnicity and environmental factors can influence the percentages of lymphocyte subpopulations. This study aimed to assess the percentages of lymphocyte subpopulations according to age in Thai children.

METHODS

This was a cross-sectional study. The percentages of lymphocyte subpopulations were measured in umbilical cord blood and peripheral blood of healthy Thai children aged 1 month-15 years. The participants were stratified into five age groups: (a) cord blood; (b) age < 2 years; (c) age 2-5 years; (d) age 5-10 years; and (e) age 10-15 years.

RESULTS

Of 182 total samples, 32, 39, 41, 28, and 42 were from cord blood, children aged <2 years, children aged 2-5 years, children aged 5-10 years, and children aged 10-15 years, respectively. The percentages of most lymphocyte subpopulations including CD8 + T cells, CD19 + cells, γδ T cells, double-negative T cells, NK cells, and NK T cells increased significantly with age. Only the CD4+ T-cell percentage decreased in older children. Moderate correlations were observed between age and the percentages of CD4+ T cells, γδ T cells, NK cells, NK T cells, and double-negative T cells. Weak correlations were observed between age and the percentages of CD8+ T cells and CD19+ cells.

CONCLUSION

Our study demonstrated age-related changes in the percentages of lymphocyte subpopulations in Thai children, which differed from those described in other countries. Therefore, the establishment of age-specific reference values for lymphocyte subsets in each country is recommended.

Для цитирования: Lerkvaleekul Butsabong, Apiwattanakul Nopporn, Klinmalai Chompunuch, Hongeng Suradej, Vilaiyuk Soamarat. Age-related changes in lymphocyte subpopulations in healthy Thai children.. Journal of clinical laboratory analysis. 2019. DOI: 10.1002/jcla.23156.

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