Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Lu, Li, Zhen, Li, He, Li, Xuejin, Vekilov, Peter G., Karniadakis, George Em
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
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
_version_ 1783445407781617664
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
work_keys_str_mv AT lulu quantitativepredictionoferythrocytesicklingforthedevelopmentofadvancedsicklecelltherapies
AT lizhen quantitativepredictionoferythrocytesicklingforthedevelopmentofadvancedsicklecelltherapies
AT lihe quantitativepredictionoferythrocytesicklingforthedevelopmentofadvancedsicklecelltherapies
AT lixuejin quantitativepredictionoferythrocytesicklingforthedevelopmentofadvancedsicklecelltherapies
AT vekilovpeterg quantitativepredictionoferythrocytesicklingforthedevelopmentofadvancedsicklecelltherapies
AT karniadakisgeorgeem quantitativepredictionoferythrocytesicklingforthedevelopmentofadvancedsicklecelltherapies