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Understanding Hematopoietic Stem Cell Dynamics—Insights from Mathematical Modelling

Current Stem Cell Reports, vol. 9, pp. 9–16

Abstract

Abstract Purpose of review Hematopoietic stem cells (HSCs) drive blood-cell production (hematopoiesis). Out-competition of HSCs by malignant cells occurs in many hematologic malignancies like acute myeloid leukemia (AML). Through mathematical modelling, HSC dynamics and their impact on healthy blood cell formation can be studied, using mathematical analysis and computer simulations. We review important work within this field and discuss mathematical modelling as a tool for attaining biological insight. Recent findings Various mechanism-based models of HSC dynamics have been proposed in recent years. Key properties of such models agree with observations and medical knowledge and suggest relations between stem cell properties, e.g., rates of division and the temporal evolution of the HSC population. This has made it possible to study how HSC properties shape clinically relevant processes, including engraftment following an HSC transplantation and the response to different treatment. Summary Understanding how properties of HSCs affect hematopoiesis is important for efficient treatment of diseases. Mathematical modelling can contribute significantly to these efforts.

Authors 4

  1. Roskilde University

    Affiliation as printed

    Center for Mathematical Modeling - Human Health and Disease, Roskilde University, Roskilde, Denmark

    Department of Science and Environment, IMFUFA Roskilde University, Roskilde, Denmark

  2. Roskilde University

    Affiliation as printed

    Center for Mathematical Modeling - Human Health and Disease, Roskilde University, Roskilde, Denmark

    Department of Science and Environment, IMFUFA Roskilde University, Roskilde, Denmark

  3. Roskilde University · RWTH Aachen University

    Affiliation as printed

    Center for Mathematical Modeling - Human Health and Disease, Roskilde University, Roskilde, Denmark

    Department of Science and Environment, IMFUFA Roskilde University, Roskilde, Denmark

    Institute for Computational Biomedicine - Disease Modeling, RWTH Aachen University, Aachen, Germany

  4. Johnny T. Ottesen corresponding

    Roskilde University

    Affiliation as printed

    Center for Mathematical Modeling - Human Health and Disease, Roskilde University, Roskilde, Denmark

    Department of Science and Environment, IMFUFA Roskilde University, Roskilde, Denmark

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References 52