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Electrochemical biosensors for autoantibodies in autoimmune and cancer diseases

Abstract

Autoantibodies (AAbs) are antibodies produced against our own cells or tissues either providing a first defense against infections or indicating the presence of pathological processes. They are not only able to inform on diseases evolution but also to predict some illnesses well in advance. Currently, the evaluation of the number and type of formed AAbs is employed to assess the risk, rate, severity and progression of autoimmune and cancer diseases, and to help to find therapies to prevent or mitigate these illnesses impact. Conventional methods for the determination of AAbs generally suffer from low sensitivity, time-consuming and laborious methodologies and need specialized technicians and well-equipped labs. Consequently, seeking for new methodologies for the rapid and low-cost screening of AAbs is of great interest for global health because it would shorten the delay between sample collection and diagnosis and improve the introduction of modern diagnostics into the developing world. Electrochemical biosensors are considered as a promising alternative to conventional techniques for the determination of clinical biomarkers due to their simplicity of use, low cost, high sensitivity, multiplexing abilities or compatibility with microfabrication and point of care testing. This review is focused on the critical discussion of selected electrochemical biosensors described up to date for the determination of AAbs related to autoimmune diseases and several types of cancer. An overview pointing out future directions in this field is also provided.

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Publication details

The article was received on 16 Dec 2018, accepted on 08 Jan 2019 and first published on 09 Jan 2019


Article type: Critical Review
DOI: 10.1039/C8AY02742K
Citation: Anal. Methods, 2019, Accepted Manuscript
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    Electrochemical biosensors for autoantibodies in autoimmune and cancer diseases

    S. Campuzano, M. Pedrero, A. González-Cortés, P. Yáñez-Sedeño and J. M. Pingarron, Anal. Methods, 2019, Accepted Manuscript , DOI: 10.1039/C8AY02742K

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