4.7 Article

Biosensing strategies (approaches) for diagnosis and monitoring of multiple sclerosis

Journal

TALANTA
Volume 252, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2022.123794

Keywords

Multiple sclerosis; Biosensor; Biomarker; Patient -centered healthcare; Personalized medicine; Disease management; Disease monitoring

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Multiple sclerosis is an inflammatory autoimmune disease that causes demyelination in the central nervous system. The diagnostic process and disease management of MS are difficult and costly. The use of biosensors for MS biomarkers detection can provide a reliable and cost-effective method for diagnosis and monitoring.
Multiple sclerosis is a recurrent and progressive inflammatory autoimmune disease causing demyelination in the central nervous system. Nowadays, the number of MS patients is increasing, but the diagnostic process and disease management are still quite difficult and costly and time consuming. The combination of methods used for clinical MS diagnosis mainly relies on MRI, that cannot be used as routine analysis. Classical methods of bio-logical liquids analysis used for disease diagnosis and monitoring, include electrophoretic and labeled antibody -based techniques requiring professional personnel for analysis performing and results interpretation. In line with that, there is a need for reliable, sensitive and cost-effective methods that would be easier to take for both the staff and the patient. Biosensors application for MS biomarkers detection would provide such advantages. This review aimed to summarize studies carried out in this field available at the literature so far, evaluate current situation and emphasize possible perspectives for research and clinical application. Since this is multi-disciplinary area of research, including development of biosensors, their use in clinical practice and making diagnostic clues, this review is expected to help different specialists, medical doctors, engineers, biochemists to use the results of each other's work for common good. Possible transition to the use biosensors in clinical practice may be associated with some difficulties that must be taken into account were either considered.

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