Literature DB >> 30179501

Theoretical Simulation of Red Cell Sickling Upon Deoxygenation Based on the Physical Chemistry of Sickle Hemoglobin Fiber Formation.

Emily B Dunkelberger1, Belhu Metaferia1, Troy Cellmer1, Eric R Henry1.   

Abstract

The polymerization of the mutant hemoglobin S upon deoxygenation to form fibers in red blood cells of patients suffering from sickle-cell anemia results in changes in cell shape and rigidity, also known as sickling, which underlie the pathology of the disease. While much has been learned about the fundamental physical chemistry of the polymerization process, transferring these insights to sickling of red cells under in vivo conditions requires being able to monitor, and ultimately predict, the time course of cellular sickling under physiological conditions of deoxygenation. To this end, we have developed an experimental technique for tracking the temporal evolution of the sickling of red blood cells under laboratory deoxygenation conditions, based on the automated analysis of sequences of microscope images and machine-learning analysis to characterize cell morphology. As an aid in the quantitative understanding of these experiments, we have developed a computational framework for simulating the time dependence of sickling in populations of red blood cells which incorporates the current theoretical and empirical understanding of the physical chemistry of the sickling process. In order to apply these techniques to our experiments, we have theoretically determined the time course of deoxygenation by solving the diffusion equation for oxygen in our experimental geometry. With this combined description, we are able to reproduce our experimentally observed kinetics of sickling, suggesting that our theoretical approach should be applicable to physiological deoxygenation scenarios.

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Year:  2018        PMID: 30179501      PMCID: PMC6422771          DOI: 10.1021/acs.jpcb.8b07638

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  13 in total

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4.  The nature, significance, and evaluation of the Schwarzschild-Villiger (SV) effect in photometric procedures.

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Journal:  J Biophys Biochem Cytol       Date:  1959-12

5.  Kinetic assay shows that increasing red cell volume could be a treatment for sickle cell disease.

Authors:  Quan Li; Eric R Henry; James Hofrichter; Jeffrey F Smith; Troy Cellmer; Emily B Dunkelberger; Belhu B Metaferia; Stacy Jones-Straehle; Sarah Boutom; Garrott W Christoph; Terri H Wakefield; Mary E Link; Dwayne Staton; Erica R Vass; Jeffery L Miller; Matthew M Hsieh; John F Tisdale; William A Eaton
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

6.  Generation of normal human red cell volume, hemoglobin content, and membrane area distributions by "birth" or regulation?

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Authors:  Troy Cellmer; Frank A Ferrone; William A Eaton
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9.  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

10.  Classification of red blood cell shapes in flow using outlier tolerant machine learning.

Authors:  Alexander Kihm; Lars Kaestner; Christian Wagner; Stephan Quint
Journal:  PLoS Comput Biol       Date:  2018-06-15       Impact factor: 4.475

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Journal:  Biomacromolecules       Date:  2022-08-09       Impact factor: 6.978

2.  Mitapivat increases ATP and decreases oxidative stress and erythrocyte mitochondria retention in a SCD mouse model.

Authors:  Zenaide M N Quezado; Sayuri Kamimura; Meghann Smith; Xunde Wang; Michael R Heaven; Sirsendu Jana; Sebastian Vogel; Patricia Zerfas; Christian A Combs; Luis E F Almeida; Quan Li; Martha Quezado; Iren Horkayne-Szakaly; Penelope A Kosinski; Shaoxia Yu; Unnati Kapadnis; Charles Kung; Lenny Dang; Paul Wakim; William A Eaton; Abdu I Alayash; Swee Lay Thein
Journal:  Blood Cells Mol Dis       Date:  2022-03-12       Impact factor: 2.372

3.  Treatment of sickle cell disease by increasing oxygen affinity of hemoglobin.

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Journal:  Blood       Date:  2021-09-30       Impact factor: 25.476

4.  βT87Q-Globin Gene Therapy Reduces Sickle Hemoglobin Production, Allowing for Ex Vivo Anti-sickling Activity in Human Erythroid Cells.

Authors:  Selami Demirci; Bjorg Gudmundsdottir; Quan Li; Juan J Haro-Mora; Tina Nassehi; Claire Drysdale; Morgan Yapundich; Jackson Gamer; Fayaz Seifuddin; John F Tisdale; Naoya Uchida
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Review 5.  Hemoglobin S polymerization and sickle cell disease: A retrospective on the occasion of the 70th anniversary of Pauling's Science paper.

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6.  High-Throughput Assay to Screen Small Molecules for Their Ability to Prevent Sickling of Red Blood Cells.

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Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-26       Impact factor: 12.779

Review 8.  Impact of hemoglobin biophysical studies on molecular pathogenesis and drug therapy for sickle cell disease.

Authors:  William A Eaton
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  8 in total

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