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Normal and pathological dynamics of platelets in humans
- Source :
- Journal of Mathematical Biology. 75:1411-1462
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- We develop a comprehensive mathematical model of platelet, megakaryocyte, and thrombopoietin dynamics in humans. We show that there is a single stationary solution that can undergo a Hopf bifurcation, and use this information to investigate both normal and pathological platelet production, specifically cyclic thrombocytopenia. Carefully estimating model parameters from laboratory and clinical data, we then argue that a subset of parameters are involved in the genesis of cyclic thrombocytopenia based on clinical information. We provide excellent model fits to the existing data for both platelet counts and thrombopoietin levels by changing six parameters that have physiological correlates. Our results indicate that the primary change in cyclic thrombocytopenia is a major interference with or destruction of the thrombopoietin receptor with secondary changes in other processes, including immune-mediated destruction of platelets and megakaryocyte deficiency and failure in platelet production. This study makes a major contribution to the understanding of the origin of cyclic thrombopoietin as well as significantly extending the modeling of thrombopoiesis.
- Subjects :
- Blood Platelets
0301 basic medicine
Mitosis
Biology
Models, Biological
37N25, 92B99, 92C30, 37G15
Thrombopoiesis
03 medical and health sciences
0302 clinical medicine
Megakaryocyte
hemic and lymphatic diseases
Cell Behavior (q-bio.CB)
Platelet production
medicine
Humans
Computer Simulation
Platelet
Tissues and Organs (q-bio.TO)
Pathological
Thrombopoietin
Thrombopoietin receptor
Cyclic thrombocytopenia
Platelet Count
Applied Mathematics
Quantitative Biology - Tissues and Organs
Mathematical Concepts
Thrombocytopenia
Agricultural and Biological Sciences (miscellaneous)
Healthy Volunteers
030104 developmental biology
medicine.anatomical_structure
FOS: Biological sciences
030220 oncology & carcinogenesis
Modeling and Simulation
Immunology
Quantitative Biology - Cell Behavior
Megakaryocytes
Algorithms
Subjects
Details
- ISSN :
- 14321416 and 03036812
- Volume :
- 75
- Database :
- OpenAIRE
- Journal :
- Journal of Mathematical Biology
- Accession number :
- edsair.doi.dedup.....5e354fdbb6e7c5bee458767b45a071ab
- Full Text :
- https://doi.org/10.1007/s00285-017-1125-6