Literature DB >> 35094036

Size and density measurements of single sickle red blood cells using microfluidic magnetic levitation.

Utku Goreke1, Allison Bode1,2, Sena Yaman3, Umut A Gurkan1,4, Naside Gozde Durmus3.   

Abstract

Single cells have unique biophysical signatures that can rapidly change during various disease states. For instance, cellular density is an inherent property differing between cell types. Characterizing changes in fundamental density properties down to the single-cell level can reveal sub-populations in pathological states. Here, we have developed a microfluidic, magnetic levitation-based assay (MagDense) that detects minute density differences of individual red blood cells (RBCs) down to 0.0001 g mL-1 resolution. This assay fractionates RBCs based on their density profiles in a non-ionic paramagnetic medium flowing in a capillary microchannel placed between magnets with same poles facing each other. Based on precisely measured levitation height and density of individual RBCs at their specific equilibrium state, we demonstrated that MagDense can accurately analyze the density of sickle hemoglobin (HbS)-containing RBCs and normal hemoglobin (HbA)-containing RBCs. In addition, the precise density and cell size measurements at the single cell level showed three different sub-populations of RBCs in blood samples from individuals with homozygous sickle cell disease receiving blood transfusions; where less dense, HbA-containing RBCs levitated higher, while the denser, HbS-containing RBCs levitated lower. We compared the mean RBC densities of sickle cell disease subjects with healthy controls and found distinctly separated bands of RBC density for each group denoting the likely range of cell densities seen in the blood samples. The high resolution of our method enabled measurement of deviation from the mean RBC density. Moreover, we introduced a new term as a measure of density dispersion, "RBC levitational density width, RLDW". Mean RBC density in sickle cell disease associated with hemoglobin from complete blood count (p = 0.032, linear regression) and RLDW associated with absolute reticulocyte count (ARC) and RBC distribution width (RDW) from complete blood count (p = 0.002 for ARC and p = 003 for RDW, linear regression). Our magnetic levitation-based assay enables rapid, accurate, density-based imaging, profiling and label-free monitoring of single RBCs. Our approach can be broadly applicable to investigate blood cell disorders and the effects of emerging pharmacological and curative therapies in patient outcomes.

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Year:  2022        PMID: 35094036      PMCID: PMC9053311          DOI: 10.1039/d1lc00686j

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   7.517


  49 in total

1.  Phosphatidylserine externalization in sickle red blood cells: associations with cell age, density, and hemoglobin F.

Authors:  Zahida Yasin; Scott Witting; Mary B Palascak; Clinton H Joiner; Donald L Rucknagel; Robert S Franco
Journal:  Blood       Date:  2003-02-27       Impact factor: 22.113

2.  The force acting on a superparamagnetic bead due to an applied magnetic field.

Authors:  Sergey S Shevkoplyas; Adam C Siegel; Robert M Westervelt; Mara G Prentiss; George M Whitesides
Journal:  Lab Chip       Date:  2007-07-25       Impact factor: 6.799

Review 3.  Pathogenesis and treatment of sickle cell disease.

Authors:  H F Bunn
Journal:  N Engl J Med       Date:  1997-09-11       Impact factor: 91.245

4.  Magnetic levitation of single cells.

Authors:  Naside Gozde Durmus; H Cumhur Tekin; Sinan Guven; Kaushik Sridhar; Ahu Arslan Yildiz; Gizem Calibasi; Ionita Ghiran; Ronald W Davis; Lars M Steinmetz; Utkan Demirci
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-29       Impact factor: 11.205

Review 5.  Pathophysiology of Sickle Cell Disease.

Authors:  Prithu Sundd; Mark T Gladwin; Enrico M Novelli
Journal:  Annu Rev Pathol       Date:  2018-10-17       Impact factor: 23.472

6.  Density ultracentrifugation of sickle cells during and after pain crisis: increased dense echinocytes in crisis.

Authors:  J A Warth; D L Rucknagel
Journal:  Blood       Date:  1984-08       Impact factor: 22.113

7.  Gene Therapy in a Patient with Sickle Cell Disease.

Authors:  Jean-Antoine Ribeil; Salima Hacein-Bey-Abina; Emmanuel Payen; Alessandra Magnani; Michaela Semeraro; Elisa Magrin; Laure Caccavelli; Benedicte Neven; Philippe Bourget; Wassim El Nemer; Pablo Bartolucci; Leslie Weber; Hervé Puy; Jean-François Meritet; David Grevent; Yves Beuzard; Stany Chrétien; Thibaud Lefebvre; Robert W Ross; Olivier Negre; Gabor Veres; Laura Sandler; Sandeep Soni; Mariane de Montalembert; Stéphane Blanche; Philippe Leboulch; Marina Cavazzana
Journal:  N Engl J Med       Date:  2017-03-02       Impact factor: 91.245

8.  Activation of the alternative complement pathway by red blood cells from patients with sickle cell disease.

Authors:  D S Chudwin; C Papierniak; T F Lint; A D Korenblit
Journal:  Clin Immunol Immunopathol       Date:  1994-05

9.  Red cell distribution width is associated with mortality in non-anemic patients with COVID-19.

Authors:  Joseph L Rapp; Douglas Tremblay; Naomi Alpert; Wil Lieberman-Cribbin; John Mascarenhas; Emanuela Taioli; Saghi Ghaffari
Journal:  J Med Virol       Date:  2021-04-23       Impact factor: 2.327

Review 10.  Red Blood Cell Distribution Width: A Novel Predictive Indicator for Cardiovascular and Cerebrovascular Diseases.

Authors:  Ning Li; Heng Zhou; Qizhu Tang
Journal:  Dis Markers       Date:  2017-09-06       Impact factor: 3.434

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