Identification of serum microRNA signatures for diagnosis of mild traumatic brain injury in a closed head injury model

Wars in Iraq and Afghanistan have highlighted the problems of diagnosis and treatment of mild traumatic brain injury (mTBI). MTBI is a heterogeneous injury that may lead to the development of neurological and behavioral disorders. In the absence of specific diagnostic markers, mTBI is often unnotice...

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Published inPloS one Vol. 9; no. 11; p. e112019
Main Authors Sharma, Anuj, Chandran, Raghavendar, Barry, Erin S, Bhomia, Manish, Hutchison, Mary Anne, Balakathiresan, Nagaraja S, Grunberg, Neil E, Maheshwari, Radha K
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 07.11.2014
Public Library of Science (PLoS)
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Summary:Wars in Iraq and Afghanistan have highlighted the problems of diagnosis and treatment of mild traumatic brain injury (mTBI). MTBI is a heterogeneous injury that may lead to the development of neurological and behavioral disorders. In the absence of specific diagnostic markers, mTBI is often unnoticed or misdiagnosed. In this study, mice were induced with increasing levels of mTBI and microRNA (miRNA) changes in the serum were determined. MTBI was induced by varying weight and fall height of the impactor rod resulting in four different severity grades of the mTBI. Injuries were characterized as mild by assessing with the neurobehavioral severity scale-revised (NSS-R) at day 1 post injury. Open field locomotion and acoustic startle response showed behavioral and sensory motor deficits in 3 of the 4 injury groups at day 1 post injury. All of the animals recovered after day 1 with no significant neurobehavioral alteration by day 30 post injury. Serum microRNA (miRNA) profiles clearly differentiated injured from uninjured animals. Overall, the number of miRNAs that were significantly modulated in injured animals over the sham controls increased with the severity of the injury. Thirteen miRNAs were found to identify mTBI regardless of its severity within the mild spectrum of injury. Bioinformatics analyses revealed that the more severe brain injuries were associated with a greater number of miRNAs involved in brain related functions. The evaluation of serum miRNA may help to identify the severity of brain injury and the risk of developing adverse effects after TBI.
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Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: AS RC NEG RKM. Performed the experiments: AS RC ESB MKB MAH. Analyzed the data: AS RC ESB NSB. Contributed reagents/materials/analysis tools: RKM NEG. Wrote the paper: AS NEG RKM.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0112019