GliaNeurosciencePeer-reviewed journal article
Temporal changes in the microglial proteome of male and female mice after a diffuse brain injury using label-free quantitative proteomics
Yasmine V. DoustiD, Aidan David BindoffiD, Olivia G. Holloway, Richard WilsoniD, Anna Elizabeth KingiD, Jenna M. ZiebelliD
Abstract
Traumatic brain injury (TBI) triggers neuroinflammatory cascades mediated by microglia, which promotes tissue repair in the short-term. These cascades may exacerbate TBI-induced tissue damage and symptoms in the months to years post-injury. However, the progression of the microglial function across time post-injury and whether this differs between biological sexes is not well understood. In this study, we examined the microglial proteome in the days (3- and 7-days) to 1 month (28 days) after a midline fluid percussion injury (mFPI) in male and female mice using label-free quantitative proteomics. We identified a reduction in microglial proteins involved with clearance of neuronal debris via phagocytosis at 3- and 7-days post-injury. At 28 days post-injury pro-inflammatory proteins were decreased and anti-inflammatory proteins were increased in microglia. These results indicate a reduction in microglial clearance of neuronal debris in the days post-injury with a shift to anti-inflammatory function by 1 month. The changes in the microglial proteome that occurred across time post-injury did not differ between biological sexes. However, we did identify an increase in microglial proteins related to pro-inflammation as well as insulin and estrogen signalling in males compared with female mice that occurred with or without a brain injury. Although microglial response was similar between males and females up to 1 month following TBI, biological sex differences in the basal microglial proteome has implications for the efficacy of treatment strategies targeting the microglial response post-injury.
- organism: mouse
- assay: proteomics
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- Citations
- 15
- FWCI
- 1.71
- Field percentile
- top 14%
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