Capturing intracellular Ca²⁺ dynamics in computational models of neurodegenerative diseases

Area of Science:

• Neuroscience
• Computational Biology
• Biochemistry

Background:

• Calcium ions (Ca²⁺) are vital for cellular processes including neuronal function, synaptic plasticity, and immune responses.
• Dysregulation of Ca²⁺ homeostasis is implicated in severe neurological and cognitive disorders.
• Interconnected molecular pathways make dissecting Ca²⁺'s specific role in disease challenging.

Purpose of the Study:

• To review computational models of Ca²⁺ dynamics.
• To illustrate the predictive power of these models in understanding disease.
• To highlight the potential of extending models for therapeutic and drug discovery.

Main Methods:

• Review of existing computational models focusing on Ca²⁺ dynamics.
• Analysis of how these models address the complexity of Ca²⁺ signaling.
• Identification of areas for model enhancement to capture multiscale interactions.

Main Results:

• Computational models offer a powerful approach to decipher complex Ca²⁺-dependent biological processes.
• Existing models demonstrate predictive capabilities regarding Ca²⁺ dysregulation.
• Model extension is needed to fully integrate multiscale Ca²⁺ interactions.

Conclusions:

• Computational modeling is crucial for understanding Ca²⁺'s role in neurological diseases.
• Enhanced models can accelerate the identification of therapeutic targets and drug discovery for Ca²⁺-related conditions.