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Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease.
Zhang, Yu; Qiang, Yuhao; Li, He; Li, Guansheng; Lu, Lu; Dao, Ming; Karniadakis, George E; Popel, Aleksander S; Zhao, Chen.
Afiliação
  • Zhang Y; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
  • Qiang Y; Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Li H; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, GA 30602, USA.
  • Li G; School of Engineering, Brown University, Providence, RI 02912, USA.
  • Lu L; Department of Statistics and Data Science, Yale University, New Haven, CT 06520, USA.
  • Dao M; Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Karniadakis GE; School of Engineering, Brown University, Providence, RI 02912, USA.
  • Popel AS; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
  • Zhao C; School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 210029, China.
PNAS Nexus ; 3(2): pgae031, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38312226
ABSTRACT
Red blood cell (RBC) aging manifests through progressive changes in cell morphology, rigidity, and expression of membrane proteins. To maintain the quality of circulating blood, splenic macrophages detect the biochemical signals and biophysical changes of RBCs and selectively clear them through erythrophagocytosis. In sickle cell disease (SCD), RBCs display alterations affecting their interaction with macrophages, leading to aberrant phagocytosis that may cause life-threatening spleen sequestration crises. To illuminate the mechanistic control of RBC engulfment by macrophages in SCD, we integrate a system biology model of RBC-macrophage signaling interactions with a biophysical model of macrophage engulfment, as well as in vitro phagocytosis experiments using the spleen-on-a-chip technology. Our modeling framework accurately predicts the phagocytosis dynamics of RBCs under different disease conditions, reveals patterns distinguishing normal and sickle RBCs, and identifies molecular targets including Src homology 2 domain-containing protein tyrosine phosphatase-1 (SHP1) and cluster of differentiation 47 (CD47)/signal regulatory protein α (SIRPα) as therapeutic targets to facilitate the controlled clearance of sickle RBCs in the spleen.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: PNAS Nexus Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: PNAS Nexus Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos