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      Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease

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          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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          A methodology for performing global uncertainty and sensitivity analysis in systems biology.

          Accuracy of results from mathematical and computer models of biological systems is often complicated by the presence of uncertainties in experimental data that are used to estimate parameter values. Current mathematical modeling approaches typically use either single-parameter or local sensitivity analyses. However, these methods do not accurately assess uncertainty and sensitivity in the system as, by default, they hold all other parameters fixed at baseline values. Using techniques described within we demonstrate how a multi-dimensional parameter space can be studied globally so all uncertainties can be identified. Further, uncertainty and sensitivity analysis techniques can help to identify and ultimately control uncertainties. In this work we develop methods for applying existing analytical tools to perform analyses on a variety of mathematical and computer models. We compare two specific types of global sensitivity analysis indexes that have proven to be among the most robust and efficient. Through familiar and new examples of mathematical and computer models, we provide a complete methodology for performing these analyses, in both deterministic and stochastic settings, and propose novel techniques to handle problems encountered during these types of analyses.
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            Role of CD47 as a marker of self on red blood cells.

            The immune system recognizes invaders as foreign because they express determinants that are absent on host cells or because they lack "markers of self" that are normally present. Here we show that CD47 (integrin-associated protein) functions as a marker of self on murine red blood cells. Red blood cells that lacked CD47 were rapidly cleared from the bloodstream by splenic red pulp macrophages. CD47 on normal red blood cells prevented this elimination by binding to the inhibitory receptor signal regulatory protein alpha (SIRPalpha). Thus, macrophages may use a number of nonspecific activating receptors and rely on the presence or absence of CD47 to distinguish self from foreign. CD47-SIRPalpha may represent a potential pathway for the control of hemolytic anemia.
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              Structure and function of the spleen.

              The spleen combines the innate and adaptive immune system in a uniquely organized way. The structure of the spleen enables it to remove older erythrocytes from the circulation and leads to the efficient removal of blood-borne microorganisms and cellular debris. This function, in combination with a highly organized lymphoid compartment, makes the spleen the most important organ for antibacterial and antifungal immune reactivity. A better understanding of the function of this complex organ has been gained from recent studies, as outlined in this Review article.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PNAS Nexus
                PNAS Nexus
                pnasnexus
                PNAS Nexus
                Oxford University Press (US )
                2752-6542
                February 2024
                20 January 2024
                20 January 2024
                : 3
                : 2
                : pgae031
                Affiliations
                Department of Biomedical Engineering, School of Medicine, Johns Hopkins University , Baltimore, MD 21205, USA
                Department of Materials Science and Engineering, Massachusetts Institute of Technology , Cambridge, MA 02139, USA
                School of Chemical, Materials and Biomedical Engineering, University of Georgia , Athens, GA 30602, USA
                School of Engineering, Brown University , Providence, RI 02912, USA
                Department of Statistics and Data Science, Yale University , New Haven, CT 06520, USA
                Department of Materials Science and Engineering, Massachusetts Institute of Technology , Cambridge, MA 02139, USA
                School of Engineering, Brown University , Providence, RI 02912, USA
                Department of Biomedical Engineering, School of Medicine, Johns Hopkins University , Baltimore, MD 21205, USA
                School of Pharmacy, Nanjing Medical University , Nanjing, Jiangsu 210029, China
                Author notes
                To whom correspondence should be addressed: Email: zhangyu@ 123456jhmi.edu (Y.Z.); Email: apopel@ 123456jhu.edu (A.S.P); Email: zcshinchon4677@ 123456outlook.com (C.Z.)

                Yu Zhang and Yuhao Qiangb co-first authors.

                Competing Interest: The authors declare no financial conflict of interest.

                Author information
                https://orcid.org/0000-0003-3643-6589
                https://orcid.org/0000-0002-5476-5768
                https://orcid.org/0000-0001-5372-385X
                https://orcid.org/0000-0002-9713-7120
                https://orcid.org/0000-0002-6706-9235
                Article
                pgae031
                10.1093/pnasnexus/pgae031
                10833451
                38312226
                5f5509ea-9e2c-4c42-aeac-f4443a5b6723
                © The Author(s) 2024. Published by Oxford University Press on behalf of National Academy of Sciences.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 11 November 2023
                : 09 January 2024
                : 01 February 2024
                Page count
                Pages: 15
                Funding
                Funded by: National Science Foundation, DOI 10.13039/501100008982;
                Award ID: OAC1920103
                Funded by: National Institutes of Health, DOI 10.13039/100000002;
                Award ID: R01HL154150
                Award ID: R01HL101200
                Categories
                Biological, Health, and Medical Sciences
                AcademicSubjects/MED00010
                AcademicSubjects/SCI00010
                AcademicSubjects/SOC00010
                PNAS_Nexus/biophys-bio
                PNAS_Nexus/app-bio

                sickle cell disease,erythrophagocytosis,hybrid systems biology modeling,organ-on-a-chip,macrophage signaling

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