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“Omics” in traumatic brain injury : novel approaches to a complex disease

Abu Hamdeh, Sami ; Tenovuo, Olli ; Peul, Wilco and Marklund, Niklas LU orcid (2021) In Acta Neurochirurgica 163(9). p.2581-2594
Abstract

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... (More)

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.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Epigenetics, Genetics, Mechanisms, Metabolomics, Traumatic brain injury
in
Acta Neurochirurgica
volume
163
issue
9
pages
14 pages
publisher
Springer
external identifiers
  • pmid:34273044
  • scopus:85110879434
ISSN
0001-6268
DOI
10.1007/s00701-021-04928-7
language
English
LU publication?
yes
id
2d8757bb-4585-44ab-b33c-66e551b215ad
date added to LUP
2021-09-01 17:11:19
date last changed
2024-10-20 05:07:31
@article{2d8757bb-4585-44ab-b33c-66e551b215ad,
  abstract     = {{<p>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.</p>}},
  author       = {{Abu Hamdeh, Sami and Tenovuo, Olli and Peul, Wilco and Marklund, Niklas}},
  issn         = {{0001-6268}},
  keywords     = {{Epigenetics; Genetics; Mechanisms; Metabolomics; Traumatic brain injury}},
  language     = {{eng}},
  month        = {{09}},
  number       = {{9}},
  pages        = {{2581--2594}},
  publisher    = {{Springer}},
  series       = {{Acta Neurochirurgica}},
  title        = {{“Omics” in traumatic brain injury : novel approaches to a complex disease}},
  url          = {{http://dx.doi.org/10.1007/s00701-021-04928-7}},
  doi          = {{10.1007/s00701-021-04928-7}},
  volume       = {{163}},
  year         = {{2021}},
}