Cargando…
“Omics” in traumatic brain injury: novel approaches to a complex disease
BACKGROUND: To date, there is neither any pharmacological treatment with efficacy in traumatic brain injury (TBI) nor any method to halt the disease progress. This is due to an incomplete understanding of the vast complexity of the biological cascades and failure to appreciate the diversity of secon...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357753/ https://www.ncbi.nlm.nih.gov/pubmed/34273044 http://dx.doi.org/10.1007/s00701-021-04928-7 |
_version_ | 1783737198224343040 |
---|---|
author | Abu Hamdeh, Sami Tenovuo, Olli Peul, Wilco Marklund, Niklas |
author_facet | Abu Hamdeh, Sami Tenovuo, Olli Peul, Wilco Marklund, Niklas |
author_sort | Abu Hamdeh, Sami |
collection | PubMed |
description | BACKGROUND: To date, there is neither any pharmacological treatment with efficacy in traumatic brain injury (TBI) nor any method to halt the disease progress. This is due to an incomplete understanding of the vast complexity of the biological cascades and failure to appreciate the diversity of secondary injury mechanisms in TBI. In recent years, techniques for high-throughput characterization and quantification of biological molecules that include genomics, proteomics, and metabolomics have evolved and referred to as omics. METHODS: In this narrative review, we highlight how omics technology can be applied to potentiate diagnostics and prognostication as well as to advance our understanding of injury mechanisms in TBI. RESULTS: The omics platforms provide possibilities to study function, dynamics, and alterations of molecular pathways of normal and TBI disease states. Through advanced bioinformatics, large datasets of molecular information from small biological samples can be analyzed in detail and provide valuable knowledge of pathophysiological mechanisms, to include in prognostic modeling when connected to clinically relevant data. In such a complex disease as TBI, omics enables broad categories of studies from gene compositions associated with susceptibility to secondary injury or poor outcome, to potential alterations in metabolites following TBI. CONCLUSION: The field of omics in TBI research is rapidly evolving. The recent data and novel methods reviewed herein may form the basis for improved precision medicine approaches, development of pharmacological approaches, and individualization of therapeutic efforts by implementing mathematical “big data” predictive modeling in the near future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00701-021-04928-7. |
format | Online Article Text |
id | pubmed-8357753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-83577532021-08-30 “Omics” in traumatic brain injury: novel approaches to a complex disease Abu Hamdeh, Sami Tenovuo, Olli Peul, Wilco Marklund, Niklas Acta Neurochir (Wien) Review Article - Brain trauma BACKGROUND: To date, there is neither any pharmacological treatment with efficacy in traumatic brain injury (TBI) nor any method to halt the disease progress. This is due to an incomplete understanding of the vast complexity of the biological cascades and failure to appreciate the diversity of secondary injury mechanisms in TBI. In recent years, techniques for high-throughput characterization and quantification of biological molecules that include genomics, proteomics, and metabolomics have evolved and referred to as omics. METHODS: In this narrative review, we highlight how omics technology can be applied to potentiate diagnostics and prognostication as well as to advance our understanding of injury mechanisms in TBI. RESULTS: The omics platforms provide possibilities to study function, dynamics, and alterations of molecular pathways of normal and TBI disease states. Through advanced bioinformatics, large datasets of molecular information from small biological samples can be analyzed in detail and provide valuable knowledge of pathophysiological mechanisms, to include in prognostic modeling when connected to clinically relevant data. In such a complex disease as TBI, omics enables broad categories of studies from gene compositions associated with susceptibility to secondary injury or poor outcome, to potential alterations in metabolites following TBI. CONCLUSION: The field of omics in TBI research is rapidly evolving. The recent data and novel methods reviewed herein may form the basis for improved precision medicine approaches, development of pharmacological approaches, and individualization of therapeutic efforts by implementing mathematical “big data” predictive modeling in the near future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00701-021-04928-7. Springer Vienna 2021-07-17 2021 /pmc/articles/PMC8357753/ /pubmed/34273044 http://dx.doi.org/10.1007/s00701-021-04928-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article - Brain trauma Abu Hamdeh, Sami Tenovuo, Olli Peul, Wilco Marklund, Niklas “Omics” in traumatic brain injury: novel approaches to a complex disease |
title | “Omics” in traumatic brain injury: novel approaches to a complex disease |
title_full | “Omics” in traumatic brain injury: novel approaches to a complex disease |
title_fullStr | “Omics” in traumatic brain injury: novel approaches to a complex disease |
title_full_unstemmed | “Omics” in traumatic brain injury: novel approaches to a complex disease |
title_short | “Omics” in traumatic brain injury: novel approaches to a complex disease |
title_sort | “omics” in traumatic brain injury: novel approaches to a complex disease |
topic | Review Article - Brain trauma |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357753/ https://www.ncbi.nlm.nih.gov/pubmed/34273044 http://dx.doi.org/10.1007/s00701-021-04928-7 |
work_keys_str_mv | AT abuhamdehsami omicsintraumaticbraininjurynovelapproachestoacomplexdisease AT tenovuoolli omicsintraumaticbraininjurynovelapproachestoacomplexdisease AT peulwilco omicsintraumaticbraininjurynovelapproachestoacomplexdisease AT marklundniklas omicsintraumaticbraininjurynovelapproachestoacomplexdisease |