Literature DB >> 24898336

Deformability analysis of sickle blood using ektacytometry.

Miklos Rabai1, Jon A Detterich2, Rosalinda B Wenby3, Tatiana M Hernandez4, Kalman Toth5, Herbert J Meiselman3, John C Wood4.   

Abstract

Sickle cell disease (SCD) is characterized by decreased erythrocyte deformability, microvessel occlusion and severe painful infarctions of different organs. Ektacytometry of SCD red blood cells (RBC) is made difficult by the presence of rigid, poorly-deformable irreversibly sickled cells (ISC) that do not align with the fluid shear field and distort the elliptical diffraction pattern seen with normal RBC. In operation, the computer software fits an outline to the diffraction pattern, then reports an elongation index (EI) at each shear stress based on the length and width of the fitted ellipse: EI=(length-width)/(length+width). Using a commercial ektacytometer (LORCA, Mechatronics Instruments, The Netherlands) we have approached the problem of ellipse fitting in two ways: (1) altering the height of the diffraction image on a computer monitor using an aperture within the camera lens; (2) altering the light intensity level (gray level) used by the software to fit the image to an elliptical shape. Neither of these methods affected deformability results (elongation index-shear stress relations) for normal RBC but did markedly affect results for SCD erythrocytes: (1) decreasing image height by 15% and 30% increased EI at moderate to high stresses; (2) progressively increasing the light level increased EI over a wide range of stresses. Fitting data obtained at different image heights using the Lineweaver-Burke routine yielded percentage ISC results in good agreement with microscopic cell counting. We suggest that these two relatively simple approaches allow minimizing artifacts due to the presence of rigid discs or ISC and also suggest the need for additional studies to evaluate the physiological relevance of deformability data obtained via these methods.

Entities:  

Keywords:  Laser diffraction ellipsometry; diffraction pattern; irreversible sickled cells; sickle cell disease; sickle erythrocytes

Mesh:

Year:  2014        PMID: 24898336      PMCID: PMC4469365          DOI: 10.3233/BIR-140660

Source DB:  PubMed          Journal:  Biorheology        ISSN: 0006-355X            Impact factor:   1.875


  23 in total

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Journal:  Methods Enzymol       Date:  1989       Impact factor: 1.600

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Journal:  Am J Vet Res       Date:  1999-10       Impact factor: 1.156

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Journal:  Am J Physiol       Date:  1997-12

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Journal:  Biophys J       Date:  2003-10       Impact factor: 4.033

10.  Erythrocyte density in sickle cell syndromes is associated with specific clinical manifestations and hemolysis.

Authors:  Pablo Bartolucci; Carlo Brugnara; Armando Teixeira-Pinto; Serge Pissard; Kamran Moradkhani; Hélène Jouault; Frederic Galacteros
Journal:  Blood       Date:  2012-08-23       Impact factor: 22.113

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  13 in total

1.  High-throughput microsphiltration to assess red blood cell deformability and screen for malaria transmission-blocking drugs.

Authors:  Julien Duez; Mario Carucci; Irene Garcia-Barbazan; Matias Corral; Oscar Perez; Jesus Luis Presa; Benoit Henry; Camille Roussel; Papa Alioune Ndour; Noemi Bahamontes Rosa; Laura Sanz; Francisco-Javier Gamo; Pierre Buffet
Journal:  Nat Protoc       Date:  2018-05-24       Impact factor: 13.491

2.  Sublethal Supraphysiological Shear Stress Alters Erythrocyte Dynamics in Subsequent Low-Shear Flows.

Authors:  Antony P McNamee; Tom Fitzpatrick; Geoff D Tansley; Michael J Simmonds
Journal:  Biophys J       Date:  2020-10-30       Impact factor: 4.033

3.  Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry.

Authors:  Nermi L Parrow; Pierre-Christian Violet; Hongbin Tu; James Nichols; Corinne A Pittman; Courtney Fitzhugh; Robert E Fleming; Narla Mohandas; John F Tisdale; Mark Levine
Journal:  J Vis Exp       Date:  2018-01-12       Impact factor: 1.355

4.  Integrated automated particle tracking microfluidic enables high-throughput cell deformability cytometry for red cell disorders.

Authors:  Puneeth Guruprasad; Robert G Mannino; Christina Caruso; Hanqing Zhang; Cassandra D Josephson; John D Roback; Wilbur A Lam
Journal:  Am J Hematol       Date:  2018-11-28       Impact factor: 10.047

5.  End points for sickle cell disease clinical trials: patient-reported outcomes, pain, and the brain.

Authors:  Ann T Farrell; Julie Panepinto; C Patrick Carroll; Deepika S Darbari; Ankit A Desai; Allison A King; Robert J Adams; Tabitha D Barber; Amanda M Brandow; Michael R DeBaun; Manus J Donahue; Kalpna Gupta; Jane S Hankins; Michelle Kameka; Fenella J Kirkham; Harvey Luksenburg; Shirley Miller; Patricia Ann Oneal; David C Rees; Rosanna Setse; Vivien A Sheehan; John Strouse; Cheryl L Stucky; Ellen M Werner; John C Wood; William T Zempsky
Journal:  Blood Adv       Date:  2019-12-10

6.  Red blood cell mechanical sensitivity improves in patients with sickle cell disease undergoing chronic transfusion after prolonged, subhemolytic shear exposure.

Authors:  Michael J Simmonds; Silvie Suriany; Derek Ponce; Jon A Detterich
Journal:  Transfusion       Date:  2018-10-16       Impact factor: 3.157

7.  Sickle cell microvascular paradox-oxygen supply-demand mismatch.

Authors:  Jon A Detterich; Roberta Kato; Adam Bush; Patjanaporn Chalacheva; Derek Ponce; Madushka De Zoysa; Payal Shah; Michael C Khoo; Herbert J Meiselman; Thomas D Coates; John C Wood
Journal:  Am J Hematol       Date:  2019-04-19       Impact factor: 10.047

8.  Importance of methodological standardization for the ektacytometric measures of red blood cell deformability in sickle cell anemia.

Authors:  Céline Renoux; Nermi Parrow; Camille Faes; Philippe Joly; Max Hardeman; John Tisdale; Mark Levine; Nathalie Garnier; Yves Bertrand; Kamila Kebaili; Daniela Cuzzubbo; Giovanna Cannas; Cyril Martin; Philippe Connes
Journal:  Clin Hemorheol Microcirc       Date:  2016       Impact factor: 2.375

9.  Oxygen gradient ektacytometry does not predict pain in children with sickle cell anaemia.

Authors:  Amina Nardo-Marino; Jesper Petersen; John N Brewin; Henrik Birgens; Thomas N Williams; Jørgen A L Kurtzhals; David C Rees; Andreas Glenthøj
Journal:  Br J Haematol       Date:  2021-12-03       Impact factor: 8.615

10.  An experimental erythrocyte rigidity index (Ri) and its correlations with Transcranial Doppler velocities (TAMMV), Gosling Pulsatility Index PI, hematocrit, hemoglobin concentration and red cell distribution width (RDW).

Authors:  Antonio Valadão Cardoso
Journal:  PLoS One       Date:  2020-02-21       Impact factor: 3.240

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