PMID- 23298344 OWN - NLM STAT- MEDLINE DCOM- 20130517 LR - 20171116 IS - 1365-3083 (Electronic) IS - 0300-9475 (Linking) VI - 77 IP - 3 DP - 2013 Mar TI - Age-matched dendritic cell subpopulations reference values in childhood. PG - 213-20 LID - 10.1111/sji.12024 [doi] AB - 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 mul 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 mul 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. CI - (c) 2013 The Authors. Scandinavian Journal of Immunology (c) 2013 Blackwell Publishing Ltd. FAU - Heinze, A AU - Heinze A AD - Department of Pediatrics, Johann Wolfgang Goethe-University Hospital, Frankfurt am Main, Germany. annekathrin.heinze@kgu.de FAU - Elze, M C AU - Elze MC FAU - Kloess, S AU - Kloess S FAU - Ciocarlie, O AU - Ciocarlie O FAU - Konigs, C AU - Konigs C FAU - Betz, S AU - Betz S FAU - Bremm, M AU - Bremm M FAU - Esser, R AU - Esser R FAU - Klingebiel, T AU - Klingebiel T FAU - Serban, M AU - Serban M FAU - Hutton, J L AU - Hutton JL FAU - Koehl, U AU - Koehl U LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PL - England TA - Scand J Immunol JT - Scandinavian journal of immunology JID - 0323767 RN - 0 (Antigens, CD) RN - 0 (HLA-DR Antigens) RN - 0 (Interleukin-3 Receptor alpha Subunit) RN - 0 (LILRB1 protein, human) RN - 0 (Leukocyte Immunoglobulin-like Receptor B1) RN - 0 (Lipopolysaccharide Receptors) RN - 0 (Receptors, IgG) RN - 0 (Receptors, Immunologic) RN - EC 3.1.3.48 (Leukocyte Common Antigens) SB - IM MH - Adolescent MH - Age Factors MH - Antigens, CD/immunology/metabolism MH - Cell Count MH - Child MH - Child, Preschool MH - Dendritic Cells/*cytology/*immunology/metabolism MH - Female MH - Flow Cytometry MH - HLA-DR Antigens/immunology/metabolism MH - Humans MH - Infant MH - Infant, Newborn MH - Interleukin-3 Receptor alpha Subunit/immunology/metabolism MH - Leukocyte Common Antigens/immunology/metabolism MH - Leukocyte Immunoglobulin-like Receptor B1 MH - Lipopolysaccharide Receptors/immunology/metabolism MH - Male MH - Myeloid Cells/cytology/immunology/metabolism MH - Receptors, IgG/immunology/metabolism MH - Receptors, Immunologic/immunology/metabolism MH - Regression Analysis MH - Sex Factors EDAT- 2013/01/10 06:00 MHDA- 2013/05/18 06:00 CRDT- 2013/01/10 06:00 PHST- 2012/07/19 00:00 [received] PHST- 2012/12/25 00:00 [accepted] PHST- 2013/01/10 06:00 [entrez] PHST- 2013/01/10 06:00 [pubmed] PHST- 2013/05/18 06:00 [medline] AID - 10.1111/sji.12024 [doi] PST - ppublish SO - Scand J Immunol. 2013 Mar;77(3):213-20. doi: 10.1111/sji.12024.