AI Article Synopsis

  • Acute brain slices are commonly used to study the central nervous system, but the impact of injury on microglial cells—the brain's immune system—remains unclear.
  • This study examines how microglial cells change over time and affect neuron function and network organization in these slices, showing that they respond to injury.
  • The findings indicate that microglia play a crucial role in maintaining neuronal network integrity, and their dysfunction leads to significant impairments in brain activity both in the lab and in living organisms.

Article Abstract

Acute brain slices represent a workhorse model for studying the central nervous system (CNS) from nanoscale events to complex circuits. While slice preparation inherently involves tissue damage, it is unclear how microglia, the main immune cells and damage sensors of the CNS react to this injury and shape neuronal activity ex vivo. To this end, we investigated microglial phenotypes and contribution to network organization and functioning in acute brain slices. We reveal time-dependent microglial phenotype changes influenced by complex extracellular ATP dynamics through P2Y12R and CX3CR1 signalling, which is sustained for hours in ex vivo mouse brain slices. Downregulation of P2Y12R and changes of microglia-neuron interactions occur in line with alterations in the number of excitatory and inhibitory synapses over time. Importantly, functional microglia modulate synapse sprouting, while microglial dysfunction results in markedly impaired ripple activity both ex vivo and in vivo. Collectively, our data suggest that microglia are modulators of complex neuronal networks with important roles to maintain neuronal network integrity and activity. We suggest that slice preparation can be used to model time-dependent changes of microglia-neuron interactions to reveal how microglia shape neuronal circuits in physiological and pathological conditions.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208608PMC
http://dx.doi.org/10.1038/s41467-024-49773-1DOI Listing

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