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Impedimetric Immunosensing for Neuroinflammatory Biomarker Profiling

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Neurodegenerative Diseases Biomarkers

Part of the book series: Neuromethods ((NM,volume 173))

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Abstract

Neuroinflammation is a hallmark of several neurodegenerative diseases including multiple sclerosis, Alzheimer’s, and Parkinson’s disease. Recent evidence shows that chronic activation of the immune system could be used to pinpoint the onset and progression of these diseases in concomitant analysis with disease-specific signatures. Tumor necrosis factor alpha (TNFα) a pleiotropic proinflammatory cytokine with distinct functions in homeostasis and disease pathogenesis, has been recognized as a potential biomarker for several neurological disorders. In the context of neuroinflammation and neurodegeneration, here we describe a method for quantitative detection of TNFα, in clinically relevant body fluids, based on an ultrasensitive impedimetric system.

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Acknowledgments

I.M.P. and A.C. acknowledge the financial support from the Marie Curie COFUND Programme “NanoTRAINforGrowth,” from the European Union’s Seventh Framework Programme for research, technological development and demonstration under Grant Agreement No. 600375. This chapter is a result of the project advancing cancer research: from basic knowledge to application (NORTE-01-0145-FEDER-000029), cofinanced by Norte Portugal Regional Operational Programme (NORTE, 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund, European Union. This work was partially financed by N2020 project: RHAQ/COLAB NORTE-06-3559-FSE-000044 and FCT (Portuguese Foundation for Science and Technology).

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Correspondence to Andrea Cruz or Inês Mendes Pinto .

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Cruz, A., Abreu, C.M., Freitas, P.P., Mendes Pinto, I. (2022). Impedimetric Immunosensing for Neuroinflammatory Biomarker Profiling. In: Peplow, P.V., Martinez, B., Gennarelli, T.A. (eds) Neurodegenerative Diseases Biomarkers. Neuromethods, vol 173. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1712-0_14

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  • DOI: https://doi.org/10.1007/978-1-0716-1712-0_14

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