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Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology
This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningful predictive biomarkers in patients with traumatic brain injury (TBI), a critical worldwide health problem with an estimated 10 billion people affected annually worldwide....
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874584/ https://www.ncbi.nlm.nih.gov/pubmed/29401743 http://dx.doi.org/10.3390/medicines5010019 |
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author | Ganau, Mario Syrmos, Nikolaos Paris, Marco Ganau, Laura Ligarotti, Gianfranco K.I. Moghaddamjou, Ali Chibbaro, Salvatore Soddu, Andrea Ambu, Rossano Prisco, Lara |
author_facet | Ganau, Mario Syrmos, Nikolaos Paris, Marco Ganau, Laura Ligarotti, Gianfranco K.I. Moghaddamjou, Ali Chibbaro, Salvatore Soddu, Andrea Ambu, Rossano Prisco, Lara |
author_sort | Ganau, Mario |
collection | PubMed |
description | This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningful predictive biomarkers in patients with traumatic brain injury (TBI), a critical worldwide health problem with an estimated 10 billion people affected annually worldwide. Data were collected through a review of the existing English literature performed on Scopus, MEDLINE, MEDLINE in Process, EMBASE, and/or Cochrane Central Register of Controlled Trials. Only experimental articles revolving around the management of TBI, in which the role of new devices based on innovative discoveries coming from the field of nanotechnology and biomedical engineering were highlighted, have been included and analyzed in this study. Based on theresults gathered from this research on innovative methods for genomics, epigenomics, and proteomics, their future application in this field seems promising. Despite the outstanding technical challenges of identifying reliable biosignatures for TBI and the mixed nature of studies herein described (single cells proteomics, biofilms, sensors, etc.), the clinical implementation of those discoveries will allow us to gain confidence in the use of advanced neuromonitoring modalities with a potential dramatic improvement in the management of those patients. |
format | Online Article Text |
id | pubmed-5874584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58745842018-03-30 Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology Ganau, Mario Syrmos, Nikolaos Paris, Marco Ganau, Laura Ligarotti, Gianfranco K.I. Moghaddamjou, Ali Chibbaro, Salvatore Soddu, Andrea Ambu, Rossano Prisco, Lara Medicines (Basel) Review This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningful predictive biomarkers in patients with traumatic brain injury (TBI), a critical worldwide health problem with an estimated 10 billion people affected annually worldwide. Data were collected through a review of the existing English literature performed on Scopus, MEDLINE, MEDLINE in Process, EMBASE, and/or Cochrane Central Register of Controlled Trials. Only experimental articles revolving around the management of TBI, in which the role of new devices based on innovative discoveries coming from the field of nanotechnology and biomedical engineering were highlighted, have been included and analyzed in this study. Based on theresults gathered from this research on innovative methods for genomics, epigenomics, and proteomics, their future application in this field seems promising. Despite the outstanding technical challenges of identifying reliable biosignatures for TBI and the mixed nature of studies herein described (single cells proteomics, biofilms, sensors, etc.), the clinical implementation of those discoveries will allow us to gain confidence in the use of advanced neuromonitoring modalities with a potential dramatic improvement in the management of those patients. MDPI 2018-02-05 /pmc/articles/PMC5874584/ /pubmed/29401743 http://dx.doi.org/10.3390/medicines5010019 Text en © 2018 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 | Review Ganau, Mario Syrmos, Nikolaos Paris, Marco Ganau, Laura Ligarotti, Gianfranco K.I. Moghaddamjou, Ali Chibbaro, Salvatore Soddu, Andrea Ambu, Rossano Prisco, Lara Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology |
title | Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology |
title_full | Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology |
title_fullStr | Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology |
title_full_unstemmed | Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology |
title_short | Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology |
title_sort | current and future applications of biomedical engineering for proteomic profiling: predictive biomarkers in neuro-traumatology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874584/ https://www.ncbi.nlm.nih.gov/pubmed/29401743 http://dx.doi.org/10.3390/medicines5010019 |
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