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Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies
Sickle cell disease is induced by a mutation that converts normal adult hemoglobin to sickle hemoglobin (HbS) and engenders intracellular polymerization of deoxy-HbS and erythrocyte sickling. Development of anti-sickling therapies requires quantitative understanding of HbS polymerization kinetics un...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703859/ https://www.ncbi.nlm.nih.gov/pubmed/31457104 http://dx.doi.org/10.1126/sciadv.aax3905 |
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author | Lu, Lu Li, Zhen Li, He Li, Xuejin Vekilov, Peter G. Karniadakis, George Em |
author_facet | Lu, Lu Li, Zhen Li, He Li, Xuejin Vekilov, Peter G. Karniadakis, George Em |
author_sort | Lu, Lu |
collection | PubMed |
description | Sickle cell disease is induced by a mutation that converts normal adult hemoglobin to sickle hemoglobin (HbS) and engenders intracellular polymerization of deoxy-HbS and erythrocyte sickling. Development of anti-sickling therapies requires quantitative understanding of HbS polymerization kinetics under organ-specific conditions, which are difficult to assess with existing experimental techniques. Thus, we developed a kinetic model based on the classical nucleation theory to examine the effectiveness of potential anti-sickling drug candidates. We validated this model by comparing its predictability against prior in vivo and in vitro experimental results. We used the model to quantify the efficacy of sickling inhibitors and obtain results consistent with recent screening assays. Global sensitivity analysis on the kinetic parameters in the model revealed that the solubility, nucleation rate prefactor, and oxygen affinity are quantities that dictate HbS polymerization. This finding provides quantitative guidelines for the discovery of intracellular processes to be targeted by sickling inhibitors. |
format | Online Article Text |
id | pubmed-6703859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67038592019-08-27 Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies Lu, Lu Li, Zhen Li, He Li, Xuejin Vekilov, Peter G. Karniadakis, George Em Sci Adv Research Articles Sickle cell disease is induced by a mutation that converts normal adult hemoglobin to sickle hemoglobin (HbS) and engenders intracellular polymerization of deoxy-HbS and erythrocyte sickling. Development of anti-sickling therapies requires quantitative understanding of HbS polymerization kinetics under organ-specific conditions, which are difficult to assess with existing experimental techniques. Thus, we developed a kinetic model based on the classical nucleation theory to examine the effectiveness of potential anti-sickling drug candidates. We validated this model by comparing its predictability against prior in vivo and in vitro experimental results. We used the model to quantify the efficacy of sickling inhibitors and obtain results consistent with recent screening assays. Global sensitivity analysis on the kinetic parameters in the model revealed that the solubility, nucleation rate prefactor, and oxygen affinity are quantities that dictate HbS polymerization. This finding provides quantitative guidelines for the discovery of intracellular processes to be targeted by sickling inhibitors. American Association for the Advancement of Science 2019-08-21 /pmc/articles/PMC6703859/ /pubmed/31457104 http://dx.doi.org/10.1126/sciadv.aax3905 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Lu, Lu Li, Zhen Li, He Li, Xuejin Vekilov, Peter G. Karniadakis, George Em Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
title | Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
title_full | Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
title_fullStr | Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
title_full_unstemmed | Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
title_short | Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
title_sort | quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703859/ https://www.ncbi.nlm.nih.gov/pubmed/31457104 http://dx.doi.org/10.1126/sciadv.aax3905 |
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