Literature DB >> 16315254

Blood samples collected under venous oxygen pressure from patients with sickle cell disease contain a significant number of a new type of reversibly sickled cells: constancy of the percentage of sickled cells in individual patients during steady state.

Toshio Asakura1, Kenji Asakura, Kazuo Obata, Julian Mattiello, Samir K Ballas.   

Abstract

We found various levels of a new type of reversibly sickled cell (RSC) with blunt edges in 44 blood samples obtained from 32 steady-state patients with sickle cell disease (SCD) without exposure to air (UnExp-blood). Because these RSCs could be generated in vitro by partial oxygenation of once-deoxygenated SS cells to venous oxygen pressure, we named them "partially oxygenated sickled cells" (POSCs). These RSCs were classified into elongated and non-elongated RSCs, depending on the ratio of the short axis to long axis. The presence of these cells was previously unknown because the standard blood collection method oxygenates most of the POSCs to discocytes due to oxygen in the air space in the needle, syringe, and blood collection tube (Exp-blood). Although the shape of elongated POSCs is similar to that of irreversibly sickled cells (ISCs), POSCs revert to discocytes upon exposure to air. We found the following: (1) the percentage of total sickled cells (total POSCs + ISCs) in UnExp-blood (29.0 +/- 14.5%) was significantly higher than the percentage of sickled cells (mainly ISCs) in Exp-blood (7.3 +/- 5.7%); (2) the percentage of sickled cells in UnExp-blood was specific to individual patients during steady state, while it decreased at the onset of a vaso-occlusive event; and (3) the percentage of sickled cells in UnExp-blood varied widely among steady-state patients (4-56%). This new type of RSC may be used as an internal biomarker to evaluate the disease state of individual patients. (c) 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 16315254     DOI: 10.1002/ajh.20468

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  5 in total

1.  Faster Sickling Kinetics and Sickle Cell Shape Evolution during Repeated Deoxygenation and Oxygenation Cycles.

Authors:  E Du; M Dao
Journal:  Exp Mech       Date:  2018-11-28       Impact factor: 2.808

2.  Imaging flow cytometry for automated detection of hypoxia-induced erythrocyte shape change in sickle cell disease.

Authors:  Eduard J van Beers; Leigh Samsel; Laurel Mendelsohn; Rehan Saiyed; Kleber Y Fertrin; Christine A Brantner; Mathew P Daniels; James Nichols; J Philip McCoy; Gregory J Kato
Journal:  Am J Hematol       Date:  2014-04-12       Impact factor: 10.047

3.  A deep convolutional neural network for classification of red blood cells in sickle cell anemia.

Authors:  Mengjia Xu; Dimitrios P Papageorgiou; Sabia Z Abidi; Ming Dao; Hong Zhao; George Em Karniadakis
Journal:  PLoS Comput Biol       Date:  2017-10-19       Impact factor: 4.475

4.  The relationship between frequency and severity of vaso-occlusive crises and health-related quality of life and work productivity in adults with sickle cell disease.

Authors:  Avery A Rizio; Menaka Bhor; Xiaochen Lin; Kristen L McCausland; Michelle K White; Jincy Paulose; Savita Nandal; Rashid I Halloway; Lanetta Bronté-Hall
Journal:  Qual Life Res       Date:  2020-01-13       Impact factor: 4.147

5.  Microvasculature-on-a-chip for the long-term study of endothelial barrier dysfunction and microvascular obstruction in disease.

Authors:  Yongzhi Qiu; Byungwook Ahn; Yumiko Sakurai; Caroline E Hansen; Reginald Tran; Patrice N Mimche; Robert G Mannino; Jordan C Ciciliano; Tracey J Lamb; Clinton H Joiner; Solomon F Ofori-Acquah; Wilbur A Lam
Journal:  Nat Biomed Eng       Date:  2018-04-23       Impact factor: 25.671

  5 in total

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