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Microglia as a Surrogate Biosensor to Determine Nanoparticle Neurotoxicity
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Mitigating Nanoparticles-induced Neuronal Damage through a Dual Coating Strategy.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 3, 2025
    PubMed
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    This study developed a dual-coating strategy for magnetic nanoparticles (MNPs) using bovine serum albumin with polyethylene glycol (BSA-PEG) to reduce neurotoxicity. The modified MNPs show improved viability and neural cell function for advanced biomedical applications.

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    Area of Science:

    • Biomedical Engineering
    • Nanotechnology
    • Neuroscience

    Background:

    • Magnetic nanoparticles (MNPs) have diverse biomedical applications but can cause neurotoxicity.
    • Understanding MNP-cell interactions is crucial for safe and effective use in neural studies.
    • Existing MNP formulations pose risks to neural cell morphology and electrophysiology.

    Purpose of the Study:

    • To engineer hypo-toxic magnetic nanoparticles (MNPs) for neural applications.
    • To mitigate the detrimental effects of MNPs on neural cells.
    • To enhance MNP suitability for long-term neural cell culture.

    Main Methods:

    • Developed a dual-coating strategy using bovine serum albumin with polyethylene glycol (BSA-PEG) for MNPs.
    • Compared the dual-coated MNPs with solely PEG-coated MNPs.
    • Assessed MNP effects on neural cell viability, neuromorphology, and electrophysiology.

    Main Results:

    • The BSA-PEG dual-coated MNPs demonstrated enhanced dispersion ability.
    • Comparative analyses revealed minimized adverse effects on neural cells compared to PEG-only MNPs.
    • Improved neural cell viability and preserved neuromorphology were observed with the dual-coated MNPs.

    Conclusions:

    • The dual-coating strategy effectively reduces MNP neurotoxicity.
    • BSA-PEG coated MNPs offer a safer alternative for neural research and applications.
    • This approach facilitates the development of MNP-based tools for studying neural processes.