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Neuronal maturation-dependent nano-neuro interaction and modulation.

Prashant Gupta1, Priya Rathi1, Rohit Gupta1

  • 1Department of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.

Nanoscale Horizons
|September 6, 2023
PubMed
Summary
This summary is machine-generated.

This study reveals how nanoparticle interactions with developing neural networks change over time. Nanoparticle binding density on neurons varies with maturation, leading to varied neuromodulation effects for potential brain disorder treatments.

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Area of Science:

  • Neuroscience
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Nanotechnology-enabled neuromodulation offers minimally-invasive approaches for neuroscience research and clinical applications.
  • Understanding nano-neuro interactions during neural network development is crucial for optimizing neuromodulation strategies.
  • Current knowledge on neuromodulation in developing neural networks remains limited.

Purpose of the Study:

  • To investigate the dynamic nano-neuro interactions in progressively maturing neural networks.
  • To elucidate the implications of neural network maturation on nanoparticle binding and subsequent neuromodulation.
  • To explore the potential for heterogeneous neuromodulation in developing neural systems.

Main Methods:

  • Utilized plasmonic-fluors as ultrabright fluorescent nanolabels for tracking nanoparticle distribution.
  • Quantified nanoparticle binding density on individual neurons at different maturation stages.
  • Correlated nanoparticle density with neural network activity to assess neuromodulation effects.

Main Results:

  • Demonstrated a selective nano-neuro interaction, with nanoparticle binding density correlating to neuronal maturation.
  • Observed a heterogeneous neuromodulation (simultaneous excitation and inhibition) in developing neural networks.
  • Contrasted this with homogeneous neuromodulation typically seen in mature neural networks.

Conclusions:

  • Neural network maturation significantly influences nanoparticle interaction and neuromodulation outcomes.
  • Heterogeneous neuromodulation in developing networks presents new possibilities for targeted neural interventions.
  • Findings advance understanding of nano-neuro interactions for potential treatments of neuronal disorders in regions with persistent neurogenesis.