Literature DB >> 27512047

Cellular normoxic biophysical markers of hydroxyurea treatment in sickle cell disease.

Poorya Hosseini1, Sabia Z Abidi2, E Du3, Dimitrios P Papageorgiou2, Youngwoon Choi4, YongKeun Park5, John M Higgins6, Gregory J Kato7, Subra Suresh8, Ming Dao9, Zahid Yaqoob10, Peter T C So1.   

Abstract

Hydroxyurea (HU) has been used clinically to reduce the frequency of painful crisis and the need for blood transfusion in sickle cell disease (SCD) patients. However, the mechanisms underlying such beneficial effects of HU treatment are still not fully understood. Studies have indicated a weak correlation between clinical outcome and molecular markers, and the scientific quest to develop companion biophysical markers have mostly targeted studies of blood properties under hypoxia. Using a common-path interferometric technique, we measure biomechanical and morphological properties of individual red blood cells in SCD patients as a function of cell density, and investigate the correlation of these biophysical properties with drug intake as well as other clinically measured parameters. Our results show that patient-specific HU effects on the cellular biophysical properties are detectable at normoxia, and that these properties are strongly correlated with the clinically measured mean cellular volume rather than fetal hemoglobin level.

Entities:  

Keywords:  biomarkers; cell deformability; cell volume; cellular properties; sickle cell anemia

Mesh:

Substances:

Year:  2016        PMID: 27512047      PMCID: PMC5003247          DOI: 10.1073/pnas.1610435113

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


  52 in total

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Journal:  Appl Opt       Date:  2006-04-20       Impact factor: 1.980

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4.  Cell heterogeneity in sickle cell disease: quantitation of the erythrocyte density profile.

Authors:  G P Rodgers; A N Schechter; C T Noguchi
Journal:  J Lab Clin Med       Date:  1985-07

5.  Optical measurement of biomechanical properties of individual erythrocytes from a sickle cell patient.

Authors:  HeeSu Byun; Timothy R Hillman; John M Higgins; Monica Diez-Silva; Zhangli Peng; Ming Dao; Ramachandra R Dasari; Subra Suresh; YongKeun Park
Journal:  Acta Biomater       Date:  2012-07-20       Impact factor: 8.947

6.  The effect of prolonged administration of hydroxyurea on morbidity and mortality in adult patients with sickle cell syndromes: results of a 17-year, single-center trial (LaSHS).

Authors:  Ersi Voskaridou; Dimitrios Christoulas; Antonios Bilalis; Eleni Plata; Konstantinos Varvagiannis; George Stamatopoulos; Klio Sinopoulou; Aggeliki Balassopoulou; Dimitris Loukopoulos; Evangelos Terpos
Journal:  Blood       Date:  2009-11-10       Impact factor: 22.113

7.  Augmentation of fetal-hemoglobin production in anemic monkeys by hydroxyurea.

Authors:  N L Letvin; D C Linch; G P Beardsley; K W McIntyre; D G Nathan
Journal:  N Engl J Med       Date:  1984-04-05       Impact factor: 91.245

8.  Hydroxyurea and a cGMP-amplifying agent have immediate benefits on acute vaso-occlusive events in sickle cell disease mice.

Authors:  Camila Bononi Almeida; Christoph Scheiermann; Jung-Eun Jang; Colette Prophete; Fernando Ferreira Costa; Nicola Conran; Paul S Frenette
Journal:  Blood       Date:  2012-07-25       Impact factor: 22.113

9.  A biophysical indicator of vaso-occlusive risk in sickle cell disease.

Authors:  David K Wood; Alicia Soriano; L Mahadevan; John M Higgins; Sangeeta N Bhatia
Journal:  Sci Transl Med       Date:  2012-02-29       Impact factor: 17.956

10.  Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors: 
Journal:  Lancet       Date:  2014-12-18       Impact factor: 79.321

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  15 in total

1.  Electrical impedance microflow cytometry with oxygen control for detection of sickle cells.

Authors:  Jia Liu; Yuhao Qiang; Ofelia Alvarez; E Du
Journal:  Sens Actuators B Chem       Date:  2017-08-24       Impact factor: 7.460

2.  Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.

Authors:  Sukrut Hemant Karandikar; Chi Zhang; Akilan Meiyappan; Ishan Barman; Christine Finck; Pramod Kumar Srivastava; Rishikesh Pandey
Journal:  Anal Chem       Date:  2019-02-22       Impact factor: 6.986

3.  Quantifying Shear-Induced Deformation and Detachment of Individual Adherent Sickle Red Blood Cells.

Authors:  Yixiang Deng; Dimitrios P Papageorgiou; Hung-Yu Chang; Sabia Z Abidi; Xuejin Li; Ming Dao; George Em Karniadakis
Journal:  Biophys J       Date:  2018-12-18       Impact factor: 4.033

4.  Single-shot dual-wavelength interferometric microscopy.

Authors:  Poorya Hosseini; Di Jin; Zahid Yaqoob; Peter T C So
Journal:  Methods       Date:  2017-10-25       Impact factor: 3.608

5.  Integration of diffraction phase microscopy and Raman imaging for label-free morpho-molecular assessment of live cells.

Authors:  Rishikesh Pandey; Renjie Zhou; Rosalie Bordett; Ciera Hunter; Kristine Glunde; Ishan Barman; Tulio Valdez; Christine Finck
Journal:  J Biophotonics       Date:  2018-12-13       Impact factor: 3.207

6.  Tomographic phase microscopy: principles and applications in bioimaging [Invited].

Authors:  Di Jin; Renjie Zhou; Zahid Yaqoob; Peter T C So
Journal:  J Opt Soc Am B       Date:  2017       Impact factor: 2.106

7.  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

8.  Patient-specific modeling of individual sickle cell behavior under transient hypoxia.

Authors:  Xuejin Li; E Du; Ming Dao; Subra Suresh; George Em Karniadakis
Journal:  PLoS Comput Biol       Date:  2017-03-13       Impact factor: 4.475

9.  Raman and quantitative phase imaging allow morpho-molecular recognition of malignancy and stages of B-cell acute lymphoblastic leukemia.

Authors:  Santosh Kumar Paidi; Piyush Raj; Rosalie Bordett; Chi Zhang; Sukrut H Karandikar; Rishikesh Pandey; Ishan Barman
Journal:  Biosens Bioelectron       Date:  2021-06-12       Impact factor: 12.545

10.  Refractive index tomograms and dynamic membrane fluctuations of red blood cells from patients with diabetes mellitus.

Authors:  SangYun Lee; HyunJoo Park; Kyoohyun Kim; YongHak Sohn; Seongsoo Jang; YongKeun Park
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

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