Biology subjects

Batulin, D.

Publications and source records attributed to Batulin, D..

2 recordsLinked to original sources

bioRxiv2021

A phenomenological model of neuroimmune interactions in epileptogenesis

Epilepsy can have many different causes and its development (epileptogenesis) involves a bewildering complexity of interacting processes. Here, we present a first-of-its-kind computational model to better understand the role of neuroimmune interactions in the development of acquired epilepsy. Our model describes the interactions between neuroinflammation, blood-brain barrier disruption, neuronal loss, circuit remodeling, and seizures. Formulated as a system of nonlinear differential equations, the model is validated using data from animal models that mimic human epileptogenesis caused by infection, status epilepticus, and blood-brain barrier disruption. The mathematical model successfully explains characteristic features of epileptogenesis such as its paradoxically long timescales (up to decades) despite short and transient injuries, or its dependence on the intensity of an injury. Furthermore, stochasticity in the model captures the variability of epileptogenesis outcomes in individuals exposed to identical injury. Notably, in line with the concept of degeneracy, our simulations reveal multiple routes towards epileptogenesis with neuronal loss as a sufficient but non-necessary component. We show that our framework allows for in silico predictions of therapeutic strategies, providing information on injury-specific therapeutic targets and optimal time windows for intervention.

neuroscience↗

bioRxiv2019

A model of neuron-glia crosstalk explains stages of neural tissue resilience

Glia, the helper cells of the brain, are essential in maintaining neural resilience across time and varying challenges: By reacting to changes in neuronal health glia carefully balance repair or disposal of injured neurons to prevent further tissue damage. Malfunction of these interactions is implicated in many neurodegenerative diseases. Reductionist models with a minimal number of parameters provide the opportunity to gain insight into biological functions and inform experimental designs. We introduce such a model that mimics long-term implications of repair-or-dispose decisions. Depending on the functionality of the decision-making process, the model assumes four distinct tissue states: healthy, challenged, primed tissue at risk of acute damage propagation, and chronic neurodegeneration. These states of the model correspond to the progression stages observed in the most common neurodegenerative conditions. The underlying mechanisms are in agreement with experimental observations of glia-neuron crosstalk and reproduce a homeostatic balance between repairing and damage-inducing reactions. The model suggests that the onset of neurodegeneration results from a tug-of-war between two conflicting goals: short-term resilience to stressors vs long-term prevention of tissue damage.

systems biology↗