Innovative graphene technology to buffer the activity of synapses— this is the idea behind a recently-published study in the journal ACS Nano coordinated by the International School for Advanced Studies in Trieste (SISSA) and the University of Trieste. In particular, the study showed how effective graphene oxide flakes are at interfering with excitatory synapses, an effect that could prove useful in new treatments for diseases like epilepsy.
The laboratory of SISSA's Laura Ballerini in collaboration with the University of Trieste, the University of Manchester and the University of Castilla -la Mancha, has discovered a new approach to modulating synapses. This methodology could be useful for treating diseases in which electrical nerve activity is altered. Ballerini and Maurizio Prato (University of Trieste) are the principal investigators of the project within the European flagship on graphene, a far-reaching 10-year international collaboration (one billion euros in funding) that studies innovative uses of the material.
Traditional treatments for neurological diseases generally include drugs that act on the brain or neurosurgery. Today however, graphene technology is showing promise for these types of applications, and is receiving increased attention from the scientific community. The method studied by Ballerini and colleagues uses "graphene nano-ribbons" (flakes) which buffer activity of synapses simply by being present.
"We administered aqueous solutions of graphene flakes to cultured neurons in 'chronic' exposure conditions, repeating the operation every day for a week. Analyzing functional neuronal electrical activity, we then traced the effect on synapses" says Rossana Rauti, SISSA researcher and first author of the study.
In the experiments, size of the flakes varied (10 microns or 80 nanometers) as well as the type of graphene: in one condition graphene was used, in another, graphene oxide. "The 'buffering' effect on synaptic activity happens only with smaller flakes of graphene oxide and not in other conditions," says Ballerini. "The effect, in the system we tested, is selective for the excitatory synapses, while it is absent in inhibitory ones"
A Matter of Size
What is the origin of this selectivity? "We know that in principle graphene does not interact chemically with synapses in a significant way- its effect is likely due to the mere presence of synapses," explains SISSA researcher and one of the study's authors, Denis Scaini. "We do not yet have direct evidence, but our hypothesis is that there is a link with the sub-cellular organization of the synaptic space."
A synapse is a contact point between one neuron and another where the nervous electrical signal "jumps" between a pre and post-synaptic unit. There is a small gap or discontinuity where the electrical signal is "translated" by a neurotransmitter and released by pre-synaptic termination into the extracellular space and reabsorbed by the postsynaptic space, to be translated again into an electrical signal. The access to this space varies depending on the type of synapses: "For the excitatory synapses, the structure's organization allows higher exposure for the graphene flakes interaction, unlike inhibitory synapses, which are less physically accessible in this experimental model," says Scaini.
Another clue that distance and size could be crucial in the process is found in the observation that graphene performs its function only in the oxidized form. "Normal graphene looks like a stretched and stiff sheet while graphene oxide appears crumpled, and thus possibly favoring interface with the synaptic space, " adds Rauti.
Administering graphene flake solutions leaves the neurons alive and intact. For this reason the team thinks they could be used in biomedical applications for treating certain diseases. "We may imagine to target a drug by exploiting the apparent flakes' selectivity for synapses, thus targeting directly the basic functional unit of neurons"concludes Ballerini.
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Rossana Rauti et al. Graphene Oxide Nanosheets Reshape Synaptic Function in Cultured Brain Networks, ACS Nano (2016). DOI: 10.1021/acsnano.6b00130