J Neurochem. 2026 Jun;170(6):
e70470
Astrocytic Ca2+ signaling is essential for maintaining physiological brain function, including the modulation of synaptic transmission, neurovascular coupling, and ion homeostasis. However, the spatiotemporal dynamics of astrocytic Ca2+ activity are highly sensitive to Ca2+ buffering, which shapes the amplitude, duration, and spread of cytosolic and organellar signals. These buffers include endogenous components such as cytosolic Ca2+ binding proteins, as well as organelles like the endoplasmic reticulum acting as Ca2+ stores. Additionally, exogenous buffers are introduced in experiments, including chelators, synthetic dyes, and genetically encoded Ca2+ indicators. Both types of buffers can profoundly alter experimental observations, making it challenging to accurately interpret Ca2+ dynamics. Computational modeling offers a powerful approach to separate these effects, enabling systematic exploration of how the buffering capacity of specific system components influences astrocytic intracellular and intercellular signaling. By incorporating experimental data with realistic biophysical buffering parameters, models can make predictions that are difficult to achieve empirically and help identify key parameters that shape astrocytic Ca2+ physiology. In this review, we discuss how buffering components influence astrocyte Ca2+ activity and their integration into modeling predictions. Future advances in computational modeling, combined with extensive experimental data, will be crucial for enhancing our understanding of astrocytic Ca2+ regulation and elucidating its role in health and disease.
Keywords: astrocytes; buffering; calcium; computational modeling