ArticleCytometry. Part B, Clinical cytometry2024
Flow cytometric immunophenotypic differentiation patterns of bone marrow eosinophilopoiesis.
Article in Cytometry. Part B, Clinical cytometry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- A case of true acute eosinophilic leukemia arising from myelodysplastic syndrome.Journal of hematopathology · 2026Article
- Mepolizumab treatment alters the functional phenotype of eosinophils in severe eosinophilic asthma.Frontiers in immunology · 2025Article
- Integrating flow cytometric profile and gene mutation analysis of intact lymph nodes to refine lymphoma immunophenotype.American journal of translational research · 2025Article
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8 authors at 1 institution in 1 country.
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Abstract
backgroundFlow cytometry has been widely used to study immunophenotypic patterns of maturation of most hematopoietic lineages in normal human bone marrow aspirates, thus allowing identification of changes in patterns in many myeloid malignancies. Eosinophils play an important role in a wide variety of disorders, including some myeloid neoplasms. However, changes in flow cytometric immunophenotypic patterns during normal and abnormal bone marrow eosinophilopoiesis have not been well studied.
methodsFresh bone marrow aspirates from 15 healthy donors, 19 patients with hypereosinophilic syndromes (HES), and 11 patients with systemic mastocytosis (SM) were analyzed for candidate markers that included EMR-1, Siglec-8, CCR3, CD9, CD11a, CD11b, CD11c, CD13, CD16, CD29, CD34, CD38, CD45, CD44, CD49d, CD49f, CD54, CD62L, CD69, CD117, CD125 (IL-5Rα), HLA-DR, using 10 parameter flow cytometry. Putative CD34-negative immature and mature normal eosinophil populations were first identified based on changes in expression of the above markers in healthy donors, then confirmed using fluorescence-based cell sorting and morphological evaluation of cytospin preparations. The normal immunophenotypic patterns were then compared to immunophenotypic patterns of eosinophilopoiesis in patients with HES and SM.
resultsThe eosinophilic lineage was first verified using the human eosinophil-specific antibody EMR-1 in combination with anti-IL-5Rα antibody. Then, a combination of Siglec-8, CD9, CD11b, CCR3, CD49d, and CD49f antibodies was used to delineate normal eosinophilic maturational patterns. Early stages (eosinophilic promyelocytes/myelocytes) were identified as Siglec-8 dim/CD11b dim to moderate/CD9 dim/CCR3 dim/CD49d bright/CD49f dim, intermediate stages (eosinophilic myelocytes/metamyelocytes) as Siglec-8 moderate/CD11b moderate to bright/CD9 moderate/CCR3 moderate/CD49d moderate/CD49f moderate and mature bands/segmented eosinophils as Siglec-8 bright/CD11b bright/CD9 bright/CCR3 bright/CD49d dim/CD49f bright. Overall maturational patterns were also similar in patients with HES and SM; however, the expression levels of several surface markers were altered compared to normal eosinophils.
conclusionA novel flow cytometric antibody panel was devised to detect alterations in immunophenotypic patterns of bone marrow eosinophil maturation and evaluated in normal, HES and SM samples. This approach will allow us to elucidate changes in immunophenotypic patterns of bone marrow eosinophilopoiesis in other hematological diseases.
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