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Mild traumatic brain injury (MTBI) results in persistent deficits in the cognitive and emotive abilities governed by the mesocorticolimbic (MCL) neurocircuitry. In this study, we observed regional variations in the mitochondrial DNA copy number (mtDNAcn) in the MCL neurocircuitry. Although repeated MTBI (rMTBI) is known to cause mitochondrial dysfunction, the persistent changes in the mtDNAcn and its manifestations in 16S rRNA levels in the MCL neurocircuitry have not been investigated. Herein, we employed the closed head weight drop paradigm to induce rMTBI in rats. We analyzed the mtDNAcn and 16S rRNA levels in eight regions of the MCL neurocircuitry 48 h and 30 days after the rMTBI. The mtDNAcn in the prefrontal cortex, cortex, hippocampus, and ventral tegmental area (VTA) of the rMTBI-exposed rats was decreased at both the time points. Although the mtDNAcn was reduced in hypothalamus and amygdala at 48 h, it was increased at 30 days post rMTBI. The 16S rRNA levels and mtDNAcn were altered in all the regions, with the exception of bed nucleus of stria terminalis and the VTA. Moreover, the rMTBI did not affect the mtDNAcn and 16S rRNA levels in nucleus accumbens. These results suggest that the repetitive trauma induces persistent changes in the mtDNAcn which are manifested as aberrations in mitochondrial transcription in the brain areas crucial for emotion and cognition.
Pubmed ID: 31260697
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Excel-based tool using pair-wise correlations for determination of stable housekeeping genes, differentially regulated target genes and sample integrity. It determines the best suited standards, out of ten candidates, and combines them into an index. The index can be compared with further ten target genes to decide, whether they are differentially expressed under an applied treatment. All data processing is based on crossing points.
View all literature mentionsSoftware to determine most stable reference (housekeeping) genes from set of tested candidate reference genes in given sample panel. From this, gene expression normalization factor can be calculated for each sample based geometric mean of user-defined number of reference genes.
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