Periodic Reporting for period 1 - LIGHTEST (LIght-responsive GrapHene-based inTerfaces for Electrical STimulation)
Reporting period: 2020-05-01 to 2022-04-30
Non-genetic, light-mediated stimulation could offer a promising alternative to transform the treatment of neurological disorders and promote brain tissue regeneration. In order to realise that, biointerfaces need to be designed with flexible materials with low electrochemical impedance, in order to minimise electrode degradation and tissue damage. Graphene is an ideal candidate for this application because not only fits these requirements but also electrically responds to light. However, in order to develop minimally invasive devices, the use of tissue-penetrating near-infrared (NIR) radiation may be limited by graphene’s capability of converting it to heat.
This project aims to incorporate lanthanide-doped upconversion nanoparticles (UCNPs) capable of absorbing NIR radiation and emitting visible light. Graphene was therefore conjugated with UCNPs in order to generate electrodes capable of enhancing electrical conductivity upon NIR activation.
Finally, the biological impact of these nanocomposites was investigated in the presence of NIR radiation (Figure 3). Conjugation of UCNPs to graphene (GU) resulted in a biocompatible material with minimal cytotoxicity and oxidative stress, irrespective of their activation with NIR radiation (980 nm, 100 mW/cm2). SH-5YSY human neuroblastoma cells were used as a model to interface with graphene-based substrates prepared by spray coating onto PET films. Conjugation of graphene with UCNPs significantly increased the number of mitotic cells, evidencing increased cell proliferation (Figure 3). Interestingly, this effect was further enhanced by NIR radiation at 980 nm but not at 780 nm. Immunocytochemical analysis showed that glial and neuronal markers (e.g. GFAP, DCX) decreased with exposure to NIR radiation. Future work will investigate what (de)differentiation mechanisms might be activated, in order to better understand the mechanisms behind neurostimulation.