title: Age-matched dendritic cell subpopulations reference values in childhood.
abstract: Dendritic cells (DCs) are the most potent antigen-presenting cells and are the key link between the innate and adaptive immune response. Only a few reports with study populations of up to 50 individuals have been published with age-based reference values for DC subpopulations in healthy children. Therefore, we aimed to establish reference ranges in a larger study population of 100 healthy children, which allowed age-matched subgroups. Most previous studies were performed using a dual-platform approach. In this study, a single-platform approach in a lyse no-wash procedure was used. DC subpopulations were defined as follows: CD45(+) CD85k(+) HLA-DR(+) CD14(-) CD16(-) CD33(+) cells as myeloid DCs (mDCs) and CD45(+) CD85k(+) HLA-DR(+) CD14(-) CD16(-) CD123(+) cells as plasmacytoid DCs (pDCs). Reference ranges were established using a semi-parametric regression of age-matched absolute and relative DC counts. We found a significant decline with increasing age in the medians of mDCs (P = 0.0003) and pDCs per μl peripheral blood (PB) (P = 0.004) and in the 50%, 90% and 95% reference ranges. We also identified significantly lower absolute cell counts of mDCs per μl PB in girls than in boys for all age groups (P = 0.0015). Due to the larger paediatric study population and single-platform approach, this study may give a more precise overview of the normal age-matched development of DC subpopulations and may provide a basis for analyzing abnormal DC counts in different illnesses or therapies such as post stem cell transplantation.
authors.affiliation: Department of Pediatrics, Johann Wolfgang Goethe-University Hospital, Frankfurt am Main, Germany. annekathrin.heinze@kgu.de
authors.forename: A
authors.initials: A
authors.lastname: Heinze
authors.forename: M C
authors.initials: MC
authors.lastname: Elze
authors.forename: S
authors.initials: S
authors.lastname: Kloess
authors.forename: O
authors.initials: O
authors.lastname: Ciocarlie
authors.forename: C
authors.initials: C
authors.lastname: Königs
authors.forename: S
authors.initials: S
authors.lastname: Betz
authors.forename: M
authors.initials: M
authors.lastname: Bremm
authors.forename: R
authors.initials: R
authors.lastname: Esser
authors.forename: T
authors.initials: T
authors.lastname: Klingebiel
authors.forename: M
authors.initials: M
authors.lastname: Serban
authors.forename: J L
authors.initials: JL
authors.lastname: Hutton
authors.forename: U
authors.initials: U
authors.lastname: Koehl
mesh_terms: D000293:Adolescent; D000367:Age Factors; D015703:Antigens, CD / Q000276:immunology / Q000378:metabolism; D002452:Cell Count; D002648:Child; D002675:Child, Preschool; D003713:Dendritic Cells / Q000166:cytology* / Q000276:immunology* / Q000378:metabolism; D005260:Female; D005434:Flow Cytometry; D006684:HLA-DR Antigens / Q000276:immunology / Q000378:metabolism; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D053650:Interleukin-3 Receptor alpha Subunit / Q000276:immunology / Q000378:metabolism; D017493:Leukocyte Common Antigens / Q000276:immunology / Q000378:metabolism; D000075362:Leukocyte Immunoglobulin-like Receptor B1; D018950:Lipopolysaccharide Receptors / Q000276:immunology / Q000378:metabolism; D008297:Male; D022423:Myeloid Cells / Q000166:cytology / Q000276:immunology / Q000378:metabolism; D017452:Receptors, IgG / Q000276:immunology / Q000378:metabolism; D011971:Receptors, Immunologic / Q000276:immunology / Q000378:metabolism; D012044:Regression Analysis; D012737:Sex Factors
chemical_list: D015703:Antigens, CD; D006684:HLA-DR Antigens; D053650:Interleukin-3 Receptor alpha Subunit; C105299:LILRB1 protein, human; D000075362:Leukocyte Immunoglobulin-like Receptor B1; D018950:Lipopolysaccharide Receptors; D017452:Receptors, IgG; D011971:Receptors, Immunologic; D017493:Leukocyte Common Antigens