This interdisciplinary study, bringing magnetism and biomedicine, aims to accelerate and guide neuroregeneration using magnetic attributes to influence neural cell behavior, advancing next-generation peripheral nerve repair. Specifically, the approach combines mild, static, passively applied magnetic fields with a novel glass-coated magnetic microwire to deliver both magnetic and topographical stimulation to neuron cells. This unique microwire, with diameters up to 100 micrometers, features a metallic magnetic core that offers intriguing magnetic responses, encased in a glass shell that provides excellent biocompatibility.

Context: Human peripheral nervous system (PNS) injury is a leading cause of disabilities and can severely impact patients’ quality of life. Current research in this field encompasses strategies that use various types of external stimulations (chemical, electrical, topographical, etc.) to accelerate and guide neuroregeneration (regrowth of nerve tissues and cells). This study contributes a novel magnetic approach to enhance existing strategies and improve outcomes for nerve repair.

This work is conducted in collaboration with Prof. Koppes (Ryan and Abigail) (Chemical Engineering, NU) and Prof. Manuel Vázquez (Instituto de Ciencia de Materiales de Madrid (ICMM), CSIC).

Relevant Publications:

Neuman, K., Zhang, X., Shellberg, B., Lewis, L.H., Koppes, A., and Koppes, R. “Electrical and magnetic stimulation separately modulates the extent and direction of neurite outgrowth in an ionically conductive hydrogel,” Journal of Neural Engineering. (under review)

Neuman, K., Zhang, X., Lejeune, B.T., Pizzarella, D., Vázquez, M., Lewis, L.H., Koppes, A., and Koppes, R. (2024) “Static magnetic stimulation and magnetic microwires synergistically enhance and guide neurite outgrowth,” Advanced Healthcare Material (accepted)

Neuman, K., Zhang, X., Mills, C., Koppes, R., Lewis, L. H., & Koppes, A. (2023). En route to next-generation nerve repair: static passive magnetostimulation modulates neurite outgrowth. Journal of Neural Engineering, 20(1), 016020.