{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:14:29Z","timestamp":1777652069531,"version":"3.51.4"},"reference-count":18,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T00:00:00Z","timestamp":1537488000000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cytometry Part B Clinical"],"published-print":{"date-parts":[[2018,9]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Studies of normal bone marrow (BM) cell composition by flow cytometry are scarce. Presently, we aimed to quantify 14 cell subsets from infants to elderly patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Cell subsets in BM samples from 180 individuals without morphologically abnormal leukocytes were analyzed using a single combination of eight antibodies: CD3\/CD10\/CD38<jats:bold>\/<\/jats:bold>CD19\/CD36\/CD16\/CD34\/CD45.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>By comparison with the Holdrinet score, we first validated the immature granulocyte\/neutrophil (IGRA\/N) ratio as a readily obtainable criterion of BM sample purity in 145 cases. Then, the 115 highly pure samples were selected (IGRA\/N \u2265 1.2) and analyzed according to age group. CD34+ myeloblasts became progressively more infrequent with age: median 1.4% in infancy to 0.5% in the elderly. Neutrophils increased: 10.7% to 22.8%; all other myeloid subsets, IGRA, eosinophils, basophils and monocytes remained stable: respectively 40.3% to 46.7%, 2.0% to 2.8%, 0.2% to 0.3%, and 4.4% to 5.0% throughout life. Erythroblasts were lower in children (8.4% to 10.3%) than in adults (12.5% to 15.1%). For lymphoid cells, hematogones and transitional B\u2010cells decreased: 15.5% to 0.6% and 3.6% to 0.1%, respectively; mature lymphocytes remained stable: B\u2010cells: 1.4% to 2.8%, T\u2010cells: 5.8% to 8.7%, and NK\u2010cells: 0.7% to 1.4%. Plasma cells varied slightly: 0.1% to 0.5%. Differences of about 40% were seen in moderately pure (IGRA\/N: 0.5 to 1.2) BM samples.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>We thus provide the first values for 14 myeloid and lymphoid subsets characterizing BM cell composition in 5 age ranges. They should provide important information when screening patients for hematological disorders or abnormal bone marrow development. \u00a9 2018 International Clinical Cytometry Society<\/jats:p><\/jats:sec>","DOI":"10.1002\/cyto.b.21643","type":"journal-article","created":{"date-parts":[[2018,9,22]],"date-time":"2018-09-22T03:11:27Z","timestamp":1537585887000},"page":"783-792","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Accurate quantification of fourteen normal bone marrow cell subsets in infants to the elderly by flow cytometry"],"prefix":"10.1002","volume":"94","author":[{"given":"Julie","family":"Pont","sequence":"first","affiliation":[{"name":"Department of Immunology Grenoble\u2010Alpes University Hospital (CHUGA)  Grenoble F\u201038700 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alice","family":"Souvignet","sequence":"additional","affiliation":[{"name":"Department of Hematology Annecy Genevois Hospital  Metz \u2010Tessy, F\u201074370 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lydia","family":"Campos","sequence":"additional","affiliation":[{"name":"Department of Hematology HU Saint\u2010Etienne University Hospital  Saint Priest en Jarez F\u201042270 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adriana","family":"Plesa","sequence":"additional","affiliation":[{"name":"Department of Hematology Hospices Civils de Lyon  Pierre\u2010B\u00e9nite F\u201069495 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B\u00e9n\u00e9dicte","family":"Bulabois","sequence":"additional","affiliation":[{"name":"Department of Hematology Grenoble\u2010Alpes University Hospital (CHUGA) Grenoble  F\u201038700 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martine","family":"Pernollet","sequence":"additional","affiliation":[{"name":"Department of Immunology Grenoble\u2010Alpes University Hospital (CHUGA)  Grenoble F\u201038700 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatiana","family":"Raskovalova","sequence":"additional","affiliation":[{"name":"Department of Immunology Grenoble\u2010Alpes University Hospital (CHUGA)  Grenoble F\u201038700 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chantal","family":"Dumestre\u2010Perard","sequence":"additional","affiliation":[{"name":"Department of Immunology Grenoble\u2010Alpes University Hospital (CHUGA)  Grenoble F\u201038700 France"},{"name":"INSERM U823 CRI\/ Institut Albert Bonniot  La Tronche F\u201038700 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean\u2010Yves","family":"Cesbron","sequence":"additional","affiliation":[{"name":"Department of Immunology Grenoble\u2010Alpes University Hospital (CHUGA)  Grenoble F\u201038700 France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marie\u2010Christine","family":"Jacob","sequence":"additional","affiliation":[{"name":"Department of Immunology Grenoble\u2010Alpes University Hospital (CHUGA)  Grenoble F\u201038700 France"},{"name":"INSERM U1209, CNRS UMR 5309 Institute for Advanced Biosciences, Universit\u00e9 Grenoble Alpes, Institute for Advanced Biosciences  Grenoble France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,9,21]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.b.21369"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-5699(92)90157-3"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0609.2008.01052.x"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1155-1984(10)55671-1"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcla.10025"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcla.10061"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1751-553X.2007.00980.x"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01732876"},{"key":"e_1_2_6_10_1","first-page":"311","article-title":"Bone marrow cell differential counts obtained by multidimensional flow cytometry","volume":"18","author":"Terstappen LW","year":"1992","journal-title":"Blood Cells"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.b.20439"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.leu.2401741"},{"key":"e_1_2_6_13_1","first-page":"103","article-title":"A method for quantification of peripheral blood admixture in bone marrow aspirates","volume":"8","author":"Holdrinet RS","year":"1980","journal-title":"Exp. 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