BACKGROUND: Alterations in lymphocyte subpopulations are present in several immune diseases, and clinicians and researchers recognise the importance of investigating the distribution and changes in lymphocyte subsets over relatively long periods of time in order to evaluate the effectiveness of treatment and follow the course of disease. Yet further insight is required on the biological variability (BV) of lymphocyte subsets, which is crucial to the correct interpretation of longitudinal changes and provides essential information for setting desirable quality specifications and defining the usefulness of reference values. METHODS: Four-colour-flow cytometry was used to investigate the BV of lymphocyte populations (LP) in the peripheral blood of 20 healthy adults recruited from our laboratory staff and followed for three months. The total lymphocyte count was measured, and the relative frequencies determined for T-cells (CD3+), T-helper cells (CD3+CD4+), cytolytic T-cells (CD3+CD8+), B-cells (CD3-CD19+), NK-cells (CD3-CD16+/56+), non-MHC restricted cytolytic T-cells (CD3+CD56+) and activated T-cells (CD3+HLA-DR+). RESULTS AND CONCLUSIONS: Data on the components of BV were applied to set quality specifications for allowable precision, bias and total error. Analytical performances were established, and they were more than desirable for all the markers considered in our study. By comparing within-subject and between-subjects BV, we were able to define the uselessness of reference ranges in the evaluation of changes in CD serial results. Data on within-subject BV and analytical precision were thus used to determine the reference change values, in order to identify the significance of changes in serial results. The findings made in the present study provide further evidence of the relevance of BV in the evaluation of immunological markers of LP.
BACKGROUND: Alterations in lymphocyte subpopulations are present in several immune diseases, and clinicians and researchers recognise the importance of investigating the distribution and changes in lymphocyte subsets over relatively long periods of time in order to evaluate the effectiveness of treatment and follow the course of disease. Yet further insight is required on the biological variability (BV) of lymphocyte subsets, which is crucial to the correct interpretation of longitudinal changes and provides essential information for setting desirable quality specifications and defining the usefulness of reference values. METHODS: Four-colour-flow cytometry was used to investigate the BV of lymphocyte populations (LP) in the peripheral blood of 20 healthy adults recruited from our laboratory staff and followed for three months. The total lymphocyte count was measured, and the relative frequencies determined for T-cells (CD3+), T-helper cells (CD3+CD4+), cytolytic T-cells (CD3+CD8+), B-cells (CD3-CD19+), NK-cells (CD3-CD16+/56+), non-MHC restricted cytolytic T-cells (CD3+CD56+) and activated T-cells (CD3+HLA-DR+). RESULTS AND CONCLUSIONS: Data on the components of BV were applied to set quality specifications for allowable precision, bias and total error. Analytical performances were established, and they were more than desirable for all the markers considered in our study. By comparing within-subject and between-subjects BV, we were able to define the uselessness of reference ranges in the evaluation of changes in CD serial results. Data on within-subject BV and analytical precision were thus used to determine the reference change values, in order to identify the significance of changes in serial results. The findings made in the present study provide further evidence of the relevance of BV in the evaluation of immunological markers of LP.
Authors: Maleewan Kitcharoensakkul; Leonard B Bacharier; Huiqing Yin-Declue; Jonathan S Boomer; Dana Burgdorf; Brad Wilson; Kenneth Schechtman; Mario Castro Journal: J Immunol Methods Date: 2016-02-06 Impact factor: 2.303
Authors: Javier Andreu-Perez; Humberto Perez-Espinosa; Eva Timonet; Mehrin Kiani; Manuel I Giron-Perez; Alma B Benitez-Trinidad; Delaram Jarchi; Alejandro Rosales-Perez; Nick Gatzoulis; Orion F Reyes-Galaviz; Alejandro Torres-Garcia; Carlos A Reyes-Garcia; Zulfiqar Ali; Francisco Rivas Journal: IEEE Trans Serv Comput Date: 2021-02-23 Impact factor: 11.019
Authors: Madhuri Thakar; Francis Angira; Kovit Pattanapanyasat; Alan H B Wu; Maurice O'Gorman; Hui Zeng; Chenxue Qu; Bharati Mahajan; Kasama Sukapirom; Danying Chen; Yu Hao; Yan Gong; Monika De Arruda Indig; Sharon Graminske; Diana Orta; Nicole d'Empaire; Beverly Lu; Imelda Omana-Zapata; Clement Zeh Journal: Open AIDS J Date: 2017-10-24