Literature DB >> 30039297

Establishment of a flow cytometry assay for detecting paroxysmal nocturnal hemoglobinuria-type cells specific to patients with bone marrow failure.

Kohei Hosokawa1,2, Chiharu Sugimori2,3, Ken Ishiyama1,2, Hiroyuki Takamatsu1,2, Hideyoshi Noji2,4, Tsutomu Shichishima2,4, Naoshi Obara2,5, Shigeru Chiba2,5, Haruhiko Ninomiya2,6, Yukari Shirasugi2,7, Yoshihiko Nakamura2,7, Kiyoshi Ando2,7, Yasutaka Ueda2,8, Yuji Yonemura2,9, Tatsuya Kawaguchi2,9, Jun-Ichi Nishimura2,8, Yuzuru Kanakura2,8, Shinji Nakao10,11.   

Abstract

Minor populations of glycosylphosphatidylinositol-anchored protein-deficient (GPI[-]) cells in the peripheral blood may have a prognostic value in bone marrow failure (BMF). Our objective is to establish the optimal flow cytometry (FCM) assay that can discriminate GPI(-) populations specific to BMF from those of healthy individuals. To identify a cut-off that discriminates GPI(-) rare cells from GPI(+) cells, we determined a position of the borderline that separates the GPI(-) from GPI(+) cells on a scattergram by testing more than 30 healthy individuals, such that no GPI(-) dot fell into the upper left quadrant where fluorescein-labeled aerolysin (FLAER)-CD11b+ granulocytes and CD55-CD59- glycophorin A+ erythrocytes were positioned. This method allowed us to define ≥ 0.003% CD11b+FLAER- granulocytes and ≥ 0.005% glycophorin A+CD55-CD59- erythrocytes to be specific to BMF patients. Longitudinal cross-validation studies showed minimal (< 0.02%) inter-laboratory differences in the GPI(-) cell percentage. An analysis of 1210 patients with BMF revealed a GPI(-) cell population in 56.3% of patients with aplastic anemia and 18.5% of patients with myelodysplastic syndrome. The GPI(-) granulocyte percentages was 0.003-0.01% in 3.7% of patients. This FCM assay effectively identified an increase in the percentage of GPI(-) rare cells that are specific to BMF patients and allowed different laboratories to accurately detect 0.003-0.01% of pathological GPI(-) cells.

Entities:  

Keywords:  Bone marrow failure; Flow cytometry; PNH-type cells

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Substances:

Year:  2018        PMID: 30039297     DOI: 10.1007/s00277-018-3443-1

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  4 in total

1.  Frequent HLA-DR loss on hematopoietic stem progenitor cells in patients with cyclosporine-dependent aplastic anemia carrying HLA-DR15.

Authors:  Noriaki Tsuji; Kohei Hosokawa; Ryota Urushihara; Mikoto Tanabe; Takamasa Katagiri; Tatsuhiko Ozawa; Hiroyuki Takamatsu; Ken Ishiyama; Hirohito Yamazaki; Hiroyuki Kishi; Seishi Ogawa; Shinji Nakao
Journal:  Leukemia       Date:  2022-04-26       Impact factor: 12.883

2.  Assay sensitivity of flow cytometric PNH analysis: response to Brando and Gatti.

Authors:  Kohei Hosokawa; Shinji Nakao
Journal:  Ann Hematol       Date:  2021-04-27       Impact factor: 3.673

3.  The clinical significance of PNH-phenotype cells accounting for < 0.01% of total granulocytes detected by the Clinical and Laboratory Standards Institute methods in patients with bone marrow failure.

Authors:  Kohei Hosokawa; Ken Ishiyama; Toshiyuki Ikemoto; Chiharu Sugimori; Hideyoshi Noji; Tsutomu Shichishima; Naoshi Obara; Shigeru Chiba; Haruhiko Ninomiya; Mai Anh Thi Nguyen; Yukari Shirasugi; Yoshihiko Nakamura; Kiyoshi Ando; Yasutaka Ueda; Yuji Yonemura; Tatsuya Kawaguchi; Jun-Ichi Nishimura; Yuzuru Kanakura; Shinji Nakao
Journal:  Ann Hematol       Date:  2020-10-23       Impact factor: 3.673

4.  A frequent nonsense mutation in exon 1 across certain HLA-A and -B alleles in leukocytes of patients with acquired aplastic anemia.

Authors:  Hiroki Mizumaki; Kazuyoshi Hosomichi; Kohei Hosokawa; Takeshi Yoroidaka; Tatsuya Imi; Yoshitaka Zaimoku; Takamasa Katagiri; Mai Anh Thi Nguyen; Dung Cao Tran; Mahmoud Ibrahim Yousef Elbadry; Kazuhisa Chonabayashi; Yoshinori Yoshida; Hiroyuki Takamatsu; Tatsuhiko Ozawa; Fumihiro Azuma; Hiroyuki Kishi; Yoichi Fujii; Seishi Ogawa; Atsushi Tajima; Shinji Nakao
Journal:  Haematologica       Date:  2021-06-01       Impact factor: 9.941

  4 in total

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