Biodetection Techniques for Quantification of Chemokines

Chemokines are a class of cytokine whose special properties, together with their involvement and relevant role in various diseases, make them a restricted group of biomarkers suitable for diagnosis and monitoring. Despite their importance, biodetection techniques dedicated to the selective determina...

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Detalles Bibliográficos
Autores: Sánchez-Tirado, Esther, Agüí, Lourdes, González-Cortés, Araceli, Yáñez-Sedeño Orive, Paloma, Pingarrón Carrazón, José Manuel
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/72220
Acceso en línea:https://hdl.handle.net/20.500.14352/72220
Access Level:acceso abierto
Palabra clave:543
cytokines
chemokines
inflammation
autoimmune diseases
cancer
biosensor
Química analítica (Química)
2301 Química Analítica
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oai_identifier_str oai:docta.ucm.es:20.500.14352/72220
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network_name_str España
repository_id_str
spelling Biodetection Techniques for Quantification of ChemokinesSánchez-Tirado, EstherAgüí, LourdesGonzález-Cortés, AraceliYáñez-Sedeño Orive, PalomaPingarrón Carrazón, José Manuel543cytokineschemokinesinflammationautoimmune diseasescancerbiosensorQuímica analítica (Química)2301 Química AnalíticaChemokines are a class of cytokine whose special properties, together with their involvement and relevant role in various diseases, make them a restricted group of biomarkers suitable for diagnosis and monitoring. Despite their importance, biodetection techniques dedicated to the selective determination of one or more chemokines are very scarce. For some years now, the critical diagnosis of inflammatory diseases by detecting both cytokine and chemokine biomarkers, has had a strong impact on the development of multiple detection platforms. However, it would be desirable to implement methodologies with a higher degree of selectivity for chemokines, in order to provide more precise information. In addition, better development of biosensor technology applied to this specific field would make it possible to address the main challenges of detection methods for several diseases with a high incidence in the population, avoiding high costs and low sensitivity. Taking this into account, this review aims to present the state of the art of chemokine biodetection techniques and emphasize the role of these systems in the prevention, monitoring and treatment of various diseases associated with chemokines as a starting point for future developments that are also analyzed throughout the article.MDPIUniversidad Complutense de Madrid20222022-01-0120222022-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/72220reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/722202026-06-02T12:44:21Z
dc.title.none.fl_str_mv Biodetection Techniques for Quantification of Chemokines
title Biodetection Techniques for Quantification of Chemokines
spellingShingle Biodetection Techniques for Quantification of Chemokines
Sánchez-Tirado, Esther
543
cytokines
chemokines
inflammation
autoimmune diseases
cancer
biosensor
Química analítica (Química)
2301 Química Analítica
title_short Biodetection Techniques for Quantification of Chemokines
title_full Biodetection Techniques for Quantification of Chemokines
title_fullStr Biodetection Techniques for Quantification of Chemokines
title_full_unstemmed Biodetection Techniques for Quantification of Chemokines
title_sort Biodetection Techniques for Quantification of Chemokines
dc.creator.none.fl_str_mv Sánchez-Tirado, Esther
Agüí, Lourdes
González-Cortés, Araceli
Yáñez-Sedeño Orive, Paloma
Pingarrón Carrazón, José Manuel
author Sánchez-Tirado, Esther
author_facet Sánchez-Tirado, Esther
Agüí, Lourdes
González-Cortés, Araceli
Yáñez-Sedeño Orive, Paloma
Pingarrón Carrazón, José Manuel
author_role author
author2 Agüí, Lourdes
González-Cortés, Araceli
Yáñez-Sedeño Orive, Paloma
Pingarrón Carrazón, José Manuel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 543
cytokines
chemokines
inflammation
autoimmune diseases
cancer
biosensor
Química analítica (Química)
2301 Química Analítica
topic 543
cytokines
chemokines
inflammation
autoimmune diseases
cancer
biosensor
Química analítica (Química)
2301 Química Analítica
description Chemokines are a class of cytokine whose special properties, together with their involvement and relevant role in various diseases, make them a restricted group of biomarkers suitable for diagnosis and monitoring. Despite their importance, biodetection techniques dedicated to the selective determination of one or more chemokines are very scarce. For some years now, the critical diagnosis of inflammatory diseases by detecting both cytokine and chemokine biomarkers, has had a strong impact on the development of multiple detection platforms. However, it would be desirable to implement methodologies with a higher degree of selectivity for chemokines, in order to provide more precise information. In addition, better development of biosensor technology applied to this specific field would make it possible to address the main challenges of detection methods for several diseases with a high incidence in the population, avoiding high costs and low sensitivity. Taking this into account, this review aims to present the state of the art of chemokine biodetection techniques and emphasize the role of these systems in the prevention, monitoring and treatment of various diseases associated with chemokines as a starting point for future developments that are also analyzed throughout the article.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/72220
url https://hdl.handle.net/20.500.14352/72220
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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