Literature DB >> 25197072

Density-based separation in multiphase systems provides a simple method to identify sickle cell disease.

Ashok A Kumar1, Matthew R Patton2, Jonathan W Hennek2, Si Yi Ryan Lee2, Gaetana D'Alesio-Spina2, Xiaoxi Yang3, Julie Kanter4, Sergey S Shevkoplyas3, Carlo Brugnara5, George M Whitesides6.   

Abstract

Although effective low-cost interventions exist, child mortality attributable to sickle cell disease (SCD) remains high in low-resource areas due, in large part, to the lack of accessible diagnostic methods. The presence of dense (ρ > 1.120 g/cm(3)) cells is characteristic of SCD. The fluid, self-assembling step-gradients in density created by aqueous multiphase systems (AMPSs) identifies SCD by detecting dense cells. AMPSs separate different forms of red blood cells by density in a microhematocrit centrifuge and provide a visual means to distinguish individuals with SCD from those with normal hemoglobin or with nondisease, sickle-cell trait in under 12 min. Visual evaluation of a simple two-phase system identified the two main subclasses of SCD [homozygous (Hb SS) and heterozygous (Hb SC)] with a sensitivity of 90% (73-98%) and a specificity of 97% (86-100%). A three-phase system identified these two types of SCD with a sensitivity of 91% (78-98%) and a specificity of 88% (74-98%). This system could also distinguish between Hb SS and Hb SC. To the authors' knowledge, this test demonstrates the first separation of cells by density with AMPSs, and the usefulness of AMPSs in point-of-care diagnostic hematology.

Entities:  

Keywords:  cell sorting; density gradient centrifugation; erythrocytes; polymers; sickle cell anemia

Mesh:

Year:  2014        PMID: 25197072      PMCID: PMC4205650          DOI: 10.1073/pnas.1414739111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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8.  A non-electrolyte haemolysis assay for diagnosis and prognosis of sickle cell disease.

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  30 in total

1.  A diagnostic role for dense cells in sickle cell disease.

Authors:  Natasha M Archer
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Review 7.  Emerging point-of-care technologies for sickle cell disease screening and monitoring.

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Review 9.  Advances in addressing technical challenges of point-of-care diagnostics in resource-limited settings.

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