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

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dc.authoridKara, Pinar/0000-0001-5029-9256
dc.authorscopusid57859160600
dc.authorscopusid6701651517
dc.authorwosidKara, Pinar/HDO-3727-2022
dc.contributor.authorSerin, Marina
dc.contributor.authorKara, Pinar
dc.date.accessioned2023-01-12T19:58:24Z
dc.date.available2023-01-12T19:58:24Z
dc.date.issued2023
dc.departmentN/A/Departmenten_US
dc.description.abstractMultiple 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.en_US
dc.identifier.doi10.1016/j.talanta.2022.123794
dc.identifier.issn0039-9140
dc.identifier.issn1873-3573
dc.identifier.pmid36030737en_US
dc.identifier.scopus2-s2.0-85136575144en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.talanta.2022.123794
dc.identifier.urihttps://hdl.handle.net/11454/76887
dc.identifier.volume252en_US
dc.identifier.wosWOS:000863227600002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofTalantaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultiple sclerosisen_US
dc.subjectBiosensoren_US
dc.subjectBiomarkeren_US
dc.subjectPatient -centered healthcareen_US
dc.subjectPersonalized medicineen_US
dc.subjectDisease managementen_US
dc.subjectDisease monitoringen_US
dc.subjectMyelin Basic-Proteinen_US
dc.subjectEpstein-Barr-Virusen_US
dc.subjectElectrochemical Detectionen_US
dc.subjectNeurotrophic Factoren_US
dc.subjectPredict Conversionen_US
dc.subjectOsteopontin Levelsen_US
dc.subjectAntibody Detectionen_US
dc.subjectDisease-Activityen_US
dc.subjectRisk-Factorsen_US
dc.subjectLabelen_US
dc.titleBiosensing strategies (approaches) for diagnosis and monitoring of multiple sclerosisen_US
dc.typeArticleen_US

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