BACKGROUND: Peripheral blood lymphocyte subsets need to be determined in a large, urban, minority-predominant cohort of healthy children to serve as suitable control subjects for the interpretation of the appearance of these cells in several disease conditions, notably pediatric HIV-1 infection. OBJECTIVE: We sought to determine the distribution of lymphocyte subsets in healthy urban-dwelling infants, children, and adolescents in the United States. METHODS: Lymphocyte subsets were determined by means of 3-color flow cytometry in a cross-sectional study of 807 HIV-unexposed children from birth through 18 years of age. RESULTS: Cell-surface marker analysis demonstrated that age was an extremely important variable in 24 lymphocyte subset distributions measured as percentages or absolute counts--eg, the CD4 (helper) T cell, CD8 (cytotoxic) T cell, CD19 B cell, CD4CD45RACD62L (naive helper) T cell, CD3CD4CD45RO (memory helper) T cell, CD8HLA-DRCD38 (activated cytotoxic) T cell, and CD8CD28 (activation primed cytotoxic) T cell. The testing laboratory proved to be an important variable, indicating the need for using the same laboratory or group of laboratories to assay an individual's blood over time and to assay control and ill or treated populations. Sex and race-ethnicity were much less important. CONCLUSION: The results of this study provide a control population for assessment of the effects of HIV infection on the normal development and distribution of lymphocyte subsets in children of both sexes, all races, and all ethnic backgrounds from birth through 18 years of age in an urban population. This study's findings will also prove invaluable in interpreting the immune changes in children with many other chronic diseases, such as primary immunodeficiency, malignancy, rheumatoid arthritis, and asthma.
BACKGROUND: Peripheral blood lymphocyte subsets need to be determined in a large, urban, minority-predominant cohort of healthy children to serve as suitable control subjects for the interpretation of the appearance of these cells in several disease conditions, notably pediatric HIV-1 infection. OBJECTIVE: We sought to determine the distribution of lymphocyte subsets in healthy urban-dwelling infants, children, and adolescents in the United States. METHODS: Lymphocyte subsets were determined by means of 3-color flow cytometry in a cross-sectional study of 807 HIV-unexposed children from birth through 18 years of age. RESULTS: Cell-surface marker analysis demonstrated that age was an extremely important variable in 24 lymphocyte subset distributions measured as percentages or absolute counts--eg, the CD4 (helper) T cell, CD8 (cytotoxic) T cell, CD19 B cell, CD4CD45RACD62L (naive helper) T cell, CD3CD4CD45RO (memory helper) T cell, CD8HLA-DRCD38 (activated cytotoxic) T cell, and CD8CD28 (activation primed cytotoxic) T cell. The testing laboratory proved to be an important variable, indicating the need for using the same laboratory or group of laboratories to assay an individual's blood over time and to assay control and ill or treated populations. Sex and race-ethnicity were much less important. CONCLUSION: The results of this study provide a control population for assessment of the effects of HIV infection on the normal development and distribution of lymphocyte subsets in children of both sexes, all races, and all ethnic backgrounds from birth through 18 years of age in an urban population. This study's findings will also prove invaluable in interpreting the immune changes in children with many other chronic diseases, such as primary immunodeficiency, malignancy, rheumatoid arthritis, and asthma.
Authors: Federica Cattaneo; Mike Recher; Stefania Masneri; Sachin N Baxi; Claudia Fiorini; Francesca Antonelli; Christian A Wysocki; Jose G Calderon; Hermann Eibel; Angela R Smith; Francisco A Bonilla; Erdyni Tsitsikov; Silvia Giliani; Luigi D Notarangelo; Sung-Yun Pai Journal: J Allergy Clin Immunol Date: 2013-02-04 Impact factor: 10.793
Authors: Yu Zhang; Xiaomin Yu; Mie Ichikawa; Jonathan J Lyons; Shrimati Datta; Ian T Lamborn; Huie Jing; Emily S Kim; Matthew Biancalana; Lynne A Wolfe; Thomas DiMaggio; Helen F Matthews; Sarah M Kranick; Kelly D Stone; Steven M Holland; Daniel S Reich; Jason D Hughes; Huseyin Mehmet; Joshua McElwee; Alexandra F Freeman; Hudson H Freeze; Helen C Su; Joshua D Milner Journal: J Allergy Clin Immunol Date: 2014-02-28 Impact factor: 10.793
Authors: Nazma Mansoor; Thomas J Scriba; Marwou de Kock; Michele Tameris; Brian Abel; Alana Keyser; Francesca Little; Andreia Soares; Sebastian Gelderbloem; Silvia Mlenjeni; Lea Denation; Anthony Hawkridge; W Henry Boom; Gilla Kaplan; Gregory D Hussey; Willem A Hanekom Journal: J Infect Dis Date: 2009-04-01 Impact factor: 5.226
Authors: Linda M Griffith; Morton J Cowan; Luigi D Notarangelo; Jennifer M Puck; Rebecca H Buckley; Fabio Candotti; Mary Ellen Conley; Thomas A Fleisher; H Bobby Gaspar; Donald B Kohn; Hans D Ochs; Richard J O'Reilly; J Douglas Rizzo; Chaim M Roifman; Trudy N Small; William T Shearer Journal: J Allergy Clin Immunol Date: 2009-12 Impact factor: 10.793
Authors: Thomas J Scriba; Michele Tameris; Nazma Mansoor; Erica Smit; Linda van der Merwe; Fatima Isaacs; Alana Keyser; Sizulu Moyo; Nathaniel Brittain; Alison Lawrie; Sebastian Gelderbloem; Ashley Veldsman; Mark Hatherill; Anthony Hawkridge; Adrian V S Hill; Gregory D Hussey; Hassan Mahomed; Helen McShane; Willem A Hanekom Journal: Eur J Immunol Date: 2010-01 Impact factor: 5.532