Multistage feedback-driven compartmental dynamics of hematopoiesis

Area of Science:

• * Hematology
• * Systems Biology
• * Computational Biology

Background:

• * Human hematopoiesis demonstrates remarkable resilience to various disruptions, including severe bleeding and immune activation.
• * Numerous blood disorders exceed the system's natural plasticity, leading to abnormal circulating blood cell counts.
• * Predicting the cell dynamics in these disorders is challenging due to the hierarchical nature and complex feedback of the hematopoietic system.

Purpose of the Study:

• * To characterize the dynamic responses of hematopoiesis to different types of perturbations.
• * To understand the regulatory mechanisms governing cell production and differentiation under stress.

Main Methods:

• * Development of a mathematical model representing hematopoiesis as a series of maturation compartments.
• * Simulation of perturbations to analyze feedback regulation of cell production based on necessity.
• * Investigation of simultaneous adaptation of cell differentiation and self-renewal rates.

Main Results:

• * A stable response to perturbations necessitates coordinated adjustments in both cell differentiation and self-renewal rates.
• * Under continuous disruption, such as in chronic hemolytic states, hematopoietic compartments can evolve to new stable states.
• * The model predicts distinct dynamic behaviors for different perturbation scenarios.

Conclusions:

• * Simultaneous adaptation of differentiation and self-renewal is crucial for maintaining hematopoietic stability.
• * The hematopoietic system can achieve novel stable states in response to chronic, ongoing disruptions.
• * This study provides insights into the regulatory network dynamics underlying blood disorders and resilience.