Studying the Impact of Perineuronal Nets on Diffusion

Published on November 17, 2022

Imagine perineuronal nets as mesh-like structures that wrap around neurons, acting as a barrier and stabilizing memories in the brain. To understand how these nets affect diffusion, scientists approximated them with negatively charged polymer brushes and conducted simulations. They found that diffusion was significantly reduced when the brush spacings were smaller than 10 nm, especially for dense brushes. Interestingly, the dynamics of the chains had little impact on particle diffusion. The resistance of the brush was also minimal compared to the membrane resistance of a neuron, implying that perineuronal nets contribute very little to the total resistance of a wrapped neuron. This study not only sheds light on the role of perineuronal nets but also provides insights into how extracellular matrix structures influence diffusion near neurons. Dive deeper into this fascinating research by exploring the full article!

Perineuronal nets (PNNs) are mesh-like extracellular matrix structures that wrap around certain neurons in the central nervous system. They are hypothesized to stabilize memories in the brain and act as a barrier between cell and extracellular space. As a means to study the impact of PNNs on diffusion, the nets were approximated by negatively charged polymer brushes and simulated by coarse-grained molecular dynamics. Diffusion constants of single neutral and single charged particles were obtained in directions parallel and perpendicular to the brush substrate. The results for the neutral particle were compared to different theories of diffusion in a heuristic manner. Diffusion was found to be considerably reduced for brush spacings smaller than 10 nm, with a pronounced anisotropy for dense brushes. The exact dynamics of the chains was found to have a negligible impact on particle diffusion. The resistance of the brush proved small compared to typical values of the membrane resistance of a neuron, indicating that PNNs likely contribute little to the total resistance of an enwrapped neuron.

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