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

dc.contributor.authorAbu Hamdeh Sami
dc.contributor.authorTenovuo Olli
dc.contributor.authorPeul Wilco
dc.contributor.authorMarklund Niklas
dc.contributor.organizationfi=kliiniset neurotieteet|en=Clinical Neurosciences|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.74845969893
dc.converis.publication-id66525264
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/66525264
dc.date.accessioned2025-08-27T21:41:04Z
dc.date.available2025-08-27T21:41:04Z
dc.description.abstract<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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>
dc.format.pagerange2581
dc.format.pagerange2594
dc.identifier.jour-issn0001-6268
dc.identifier.olddbid200877
dc.identifier.oldhandle10024/183904
dc.identifier.urihttps://www.utupub.fi/handle/11111/47263
dc.identifier.urnURN:NBN:fi-fe2021093048139
dc.language.isoen
dc.okm.affiliatedauthorTenovuo, Olli
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3124 Neurology and psychiatryen_GB
dc.okm.discipline3124 Neurologia ja psykiatriafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA2 Scientific Article
dc.publisherSPRINGER WIEN
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.relation.doi10.1007/s00701-021-04928-7
dc.relation.ispartofjournalActa Neurochirurgica
dc.relation.issue9
dc.relation.volume163
dc.source.identifierhttps://www.utupub.fi/handle/10024/183904
dc.title"Omics" in traumatic brain injury: novel approaches to a complex disease
dc.year.issued2021

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