Major depressive disorder: biomarkers and biosensors
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/38047 |
Resumo: | Depressive disorders belong to highly heterogeneous psychiatric diseases. Loss of in interest in previously enjoyed activities and a depressed mood are the main characteristics of major depressive disorder (MDD). Moreover, due to significant heterogeneity in clinical presentation and lack of applicable biomarkers, diagnosis and treatment remains challenging. Identification of relevant biomarkers would allow for improved disease classification and more personalized treatment strategies. Herein, we review the current state of these biomarkers and then discuss diagnostic techniques of aimed to specifically target these analytes using state of the art biosensor technology. |
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Major depressive disorder: biomarkers and biosensorsMajor depressive disorderBiomarkersDiagnosisElectrochemicalBiosensorDepressive disorders belong to highly heterogeneous psychiatric diseases. Loss of in interest in previously enjoyed activities and a depressed mood are the main characteristics of major depressive disorder (MDD). Moreover, due to significant heterogeneity in clinical presentation and lack of applicable biomarkers, diagnosis and treatment remains challenging. Identification of relevant biomarkers would allow for improved disease classification and more personalized treatment strategies. Herein, we review the current state of these biomarkers and then discuss diagnostic techniques of aimed to specifically target these analytes using state of the art biosensor technology.Elsevier2024-06-12T00:00:00Z2023-06-12T00:00:00Z2023-06-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/38047eng0009-898110.1016/j.cca.2023.117437Dadkhah, MasoomehJafarzadehgharehziaaddin, MohsenMolaei, SoheilaAkbari, MortezaGholizadeh, NeghinFathi, Farzanehinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-17T04:21:28ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Major depressive disorder: biomarkers and biosensors |
title |
Major depressive disorder: biomarkers and biosensors |
spellingShingle |
Major depressive disorder: biomarkers and biosensors Dadkhah, Masoomeh Major depressive disorder Biomarkers Diagnosis Electrochemical Biosensor |
title_short |
Major depressive disorder: biomarkers and biosensors |
title_full |
Major depressive disorder: biomarkers and biosensors |
title_fullStr |
Major depressive disorder: biomarkers and biosensors |
title_full_unstemmed |
Major depressive disorder: biomarkers and biosensors |
title_sort |
Major depressive disorder: biomarkers and biosensors |
author |
Dadkhah, Masoomeh |
author_facet |
Dadkhah, Masoomeh Jafarzadehgharehziaaddin, Mohsen Molaei, Soheila Akbari, Morteza Gholizadeh, Neghin Fathi, Farzaneh |
author_role |
author |
author2 |
Jafarzadehgharehziaaddin, Mohsen Molaei, Soheila Akbari, Morteza Gholizadeh, Neghin Fathi, Farzaneh |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Dadkhah, Masoomeh Jafarzadehgharehziaaddin, Mohsen Molaei, Soheila Akbari, Morteza Gholizadeh, Neghin Fathi, Farzaneh |
dc.subject.por.fl_str_mv |
Major depressive disorder Biomarkers Diagnosis Electrochemical Biosensor |
topic |
Major depressive disorder Biomarkers Diagnosis Electrochemical Biosensor |
description |
Depressive disorders belong to highly heterogeneous psychiatric diseases. Loss of in interest in previously enjoyed activities and a depressed mood are the main characteristics of major depressive disorder (MDD). Moreover, due to significant heterogeneity in clinical presentation and lack of applicable biomarkers, diagnosis and treatment remains challenging. Identification of relevant biomarkers would allow for improved disease classification and more personalized treatment strategies. Herein, we review the current state of these biomarkers and then discuss diagnostic techniques of aimed to specifically target these analytes using state of the art biosensor technology. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06-12T00:00:00Z 2023-06-12 2024-06-12T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/38047 |
url |
http://hdl.handle.net/10773/38047 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0009-8981 10.1016/j.cca.2023.117437 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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