| Literature DB >> 35852739 |
Martin Cente1,2, Katarina Matyasova1, Nikoleta Csicsatkova1, Adela Tomikova1, Sara Porubska1, Yun Niu3, Marek Majdan4, Peter Filipcik5,6, Igor Jurisica7,8,9,10.
Abstract
History of traumatic brain injury (TBI) represents a significant risk factor for development of dementia and neurodegenerative disorders in later life. While histopathological sequelae and neurological diagnostics of TBI are well defined, the molecular events linking the post-TBI signaling and neurodegenerative cascades remain unknown. It is not only due to the brain's inaccessibility to direct molecular analysis but also due to the lack of well-defined and highly informative peripheral biomarkers. MicroRNAs (miRNAs) in blood are promising candidates to address this gap. Using integrative bioinformatics pipeline including miRNA:target identification, pathway enrichment, and protein-protein interactions analysis we identified set of genes, interacting proteins, and pathways that are connected to previously reported peripheral miRNAs, deregulated following severe traumatic brain injury (sTBI) in humans. This meta-analysis revealed a spectrum of genes closely related to critical biological processes, such as neuroregeneration including axon guidance and neurite outgrowth, neurotransmission, inflammation, proliferation, apoptosis, cell adhesion, and response to DNA damage. More importantly, we have identified molecular pathways associated with neurodegenerative conditions, including Alzheimer's and Parkinson's diseases, based on purely peripheral markers. The pathway signature after acute sTBI is similar to the one observed in chronic neurodegenerative conditions, which implicates a link between the post-sTBI signaling and neurodegeneration. Identified key hub interacting proteins represent a group of novel candidates for potential therapeutic targets or biomarkers.Entities:
Keywords: Neurodegeneration; Severe traumatic brain injury; Signaling pathways; TBI; miRNA
Year: 2022 PMID: 35852739 DOI: 10.1007/s10571-022-01254-z
Source DB: PubMed Journal: Cell Mol Neurobiol ISSN: 0272-4340 Impact factor: 4.231