Current and Novel Strategies for Biomarkers Detection in Neurodegenerative Diseases: Future Graphene-Based Applications

  • Matilde Ghibaudi Neuroscience Institute Cavalieri Ottolenghi
  • Martina Lorenzati Neuroscience Institute Cavalieri Ottolenghi
  • Giulia Pasini Neuroscience Institute Cavalieri Ottolenghi
  • Fabrizio Pirri Politecnico of Turin
  • Annalisa Buffo Neuroscience Institute Cavalieri Ottolenghi

Abstract [eng]

Scientific progress has significantly reduced pandemic death causes, thus progressively increasing life expectancy. This achievement forced researchers to face the main problem related to an aging population: the occurrence of neurodegenerative disorders (NDDs). Unfortunately, today only symptomatic drugs are available to delay the disease progression of NDDs. Moreover, the specificity and selectivity of the current clinical diagnosis does not allow an early disease detection for a prompt clinical intervention before symptoms onset. Therefore, part of the research is now focusing on two main aspects: i) find out new selective biomarkers, ii) detect biomarkers in body fluids with more sensitive and specific technological tools. In particular, in the last decade graphene has raised great interest thanks to its unique chemical properties, easy availability, biocompatibility and low cost for the synthesis of electrochemical and optical sensors-biosensors.
Here we report some of the most relevant new biomarkers under investigation and the new graphene tools that could be potentially used to improve NDDs early diagnosis. Despite further investigations are needed before a useful clinical employment of such new nanomaterials, promising positive results are expected in the next future.

Published
2018-03-14
How to Cite
GHIBAUDI, Matilde et al. Current and Novel Strategies for Biomarkers Detection in Neurodegenerative Diseases: Future Graphene-Based Applications. DigitCult - Scientific Journal on Digital Cultures, [S.l.], v. 2, n. 2, p. 51-71, mar. 2018. ISSN 2531-5994. Available at: <https://digitcult.lim.di.unimi.it/index.php/dc/article/view/55>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.4399/97888255088955.