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Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis
This systematic review aimed to assess the advantages of biosensors in detecting biomarkers for the early diagnosis of osteoarthritis (OA). OA is the most prevalent musculoskeletal disease and is a leading cause of disability and pain worldwide. The diagnosis of OA could be performed through clinica...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912259/ https://www.ncbi.nlm.nih.gov/pubmed/33561091 http://dx.doi.org/10.3390/bios11020031 |
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author | Longo, Umile Giuseppe Candela, Vincenzo Berton, Alessandra De Salvatore, Sergio Fioravanti, Sara Giannone, Lucia Marchetti, Anna De Marinis, Maria Grazia Denaro, Vincenzo |
author_facet | Longo, Umile Giuseppe Candela, Vincenzo Berton, Alessandra De Salvatore, Sergio Fioravanti, Sara Giannone, Lucia Marchetti, Anna De Marinis, Maria Grazia Denaro, Vincenzo |
author_sort | Longo, Umile Giuseppe |
collection | PubMed |
description | This systematic review aimed to assess the advantages of biosensors in detecting biomarkers for the early diagnosis of osteoarthritis (OA). OA is the most prevalent musculoskeletal disease and is a leading cause of disability and pain worldwide. The diagnosis of OA could be performed through clinical examinations and imaging only during the late stages of the disease. Biomarkers could be used for the diagnosis of the disease in the very early stages. Biosensors could detect biomarkers with high accuracy and low costs. This paper focuses on the biosensors mainly adopted to detect OA markers (electrochemical, optical, Quartz crystal microbalance, molecular and wearable biosensors). A comprehensive search on PubMed, Cochrane, CINAHL and Embase databases was conducted from the inception to November 2020. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Methodological Index for Non-Randomized Studies (MINORS) was used for quality assessment. From a total amount of 1086 studies identified, only 19 articles were eligible for this study. The main advantages of the biosensors reported were accuracy, limited cost and ease of use, compared to traditional methods (ELISA). Otherwise, due to the lack of data and the low level of evidence of the papers included, it was impossible to find significant results. Therefore, further high-quality studies are required. |
format | Online Article Text |
id | pubmed-7912259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79122592021-02-28 Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis Longo, Umile Giuseppe Candela, Vincenzo Berton, Alessandra De Salvatore, Sergio Fioravanti, Sara Giannone, Lucia Marchetti, Anna De Marinis, Maria Grazia Denaro, Vincenzo Biosensors (Basel) Systematic Review This systematic review aimed to assess the advantages of biosensors in detecting biomarkers for the early diagnosis of osteoarthritis (OA). OA is the most prevalent musculoskeletal disease and is a leading cause of disability and pain worldwide. The diagnosis of OA could be performed through clinical examinations and imaging only during the late stages of the disease. Biomarkers could be used for the diagnosis of the disease in the very early stages. Biosensors could detect biomarkers with high accuracy and low costs. This paper focuses on the biosensors mainly adopted to detect OA markers (electrochemical, optical, Quartz crystal microbalance, molecular and wearable biosensors). A comprehensive search on PubMed, Cochrane, CINAHL and Embase databases was conducted from the inception to November 2020. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Methodological Index for Non-Randomized Studies (MINORS) was used for quality assessment. From a total amount of 1086 studies identified, only 19 articles were eligible for this study. The main advantages of the biosensors reported were accuracy, limited cost and ease of use, compared to traditional methods (ELISA). Otherwise, due to the lack of data and the low level of evidence of the papers included, it was impossible to find significant results. Therefore, further high-quality studies are required. MDPI 2021-01-24 /pmc/articles/PMC7912259/ /pubmed/33561091 http://dx.doi.org/10.3390/bios11020031 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Longo, Umile Giuseppe Candela, Vincenzo Berton, Alessandra De Salvatore, Sergio Fioravanti, Sara Giannone, Lucia Marchetti, Anna De Marinis, Maria Grazia Denaro, Vincenzo Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis |
title | Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis |
title_full | Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis |
title_fullStr | Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis |
title_full_unstemmed | Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis |
title_short | Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis |
title_sort | biosensors for detection of biochemical markers relevant to osteoarthritis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912259/ https://www.ncbi.nlm.nih.gov/pubmed/33561091 http://dx.doi.org/10.3390/bios11020031 |
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