Back

Microglia modulate concussion biomarkers and cognitive recovery in male mice

Anderson, E. D.; Augustin, D.; Georges, A. P.; Kim, T.; Issadore, D. A.; Meaney, D. F.

2025-05-07 bioengineering
10.1101/2025.05.01.651070 bioRxiv
Show abstract

There is a critical unmet need for concussion biomarkers for injury prognosis and cognitive recovery. Existing traumatic brain injury (TBI) biomarkers are largely focused on acute cellular damage and reactivity, rather than the cellular repair mechanisms that contribute to differential concussion outcomes. Neuron-derived extracellular vesicles (EVs) are an emerging alternative to traditional protein biomarkers, providing a brain-specific molecular signature that can inform mechanistic insights and subsequent therapeutic intervention. Although neuroinflammation plays a key role in injury repair and cognitive recovery, its influence on neuronal EV signatures is unknown. In this work, we examine the role of inflammation in subacute neuronal EV biomarkers for differential concussion recovery in male mice. In particular, we identify general diagnostic biomarkers for concussion using miRNAs from neuronal EVs in blood serum, and then subtyped concussion based on prior injury history. Using PLX5622 to diminish the brains inflammatory response, we find that acute inflammation significantly contributes to differential cognitive recovery post-concussion and can enhance or impede recovery based on injury history. Furthermore, we find that removing microglia prior to injury eliminates diagnostic biomarkers of concussion. Finally, we identify a general panel of EV-derived miRNA biomarkers associated with cognitive recovery across all experimental conditions. Together, we not only identify putative biomarkers for post-acute concussion diagnosis, injury history, and cognitive recovery, but also define a novel role for neuron-derived EVs in indirectly surveilling brain inflammation. Broadly, these findings could inform efforts to subtype concussion patients and identify more precise recovery profiles for individual concussion patients.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Journal of Neuroscience Research
27 papers in training set
Top 0.1%
11.8%
2
eLife
5828 papers in training set
Top 9%
10.6%
3
Brain, Behavior, and Immunity
116 papers in training set
Top 0.2%
7.2%
4
The Journal of Neuroscience
1025 papers in training set
Top 3%
6.2%
5
Cell Reports
1498 papers in training set
Top 6%
5.5%
6
Nature Neuroscience
252 papers in training set
Top 2%
4.4%
7
Brain
168 papers in training set
Top 0.9%
4.0%
8
Neuron
337 papers in training set
Top 2%
3.2%
50% of probability mass above
9
Frontiers in Cellular Neuroscience
91 papers in training set
Top 0.4%
3.2%
10
Science Translational Medicine
127 papers in training set
Top 0.7%
3.2%
11
Science Advances
1243 papers in training set
Top 12%
2.8%
12
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 20%
2.6%
13
Scientific Reports
3612 papers in training set
Top 43%
2.4%
14
Aging Cell
165 papers in training set
Top 1%
2.1%
15
eneuro
439 papers in training set
Top 4%
2.1%
16
Journal of Neurotrauma
31 papers in training set
Top 0.3%
2.1%
17
iScience
1154 papers in training set
Top 13%
2.1%
18
Journal of Neuroinflammation
61 papers in training set
Top 0.8%
1.7%
19
NeuroImage: Clinical
144 papers in training set
Top 2%
1.5%
20
Experimental Neurology
61 papers in training set
Top 0.8%
1.4%
21
Neurobiology of Disease
148 papers in training set
Top 2%
1.3%
22
Frontiers in Neurology
102 papers in training set
Top 2%
1.3%
23
Nature Communications
5641 papers in training set
Top 51%
1.1%
24
Brain Communications
166 papers in training set
Top 3%
1.1%
25
JCI Insight
277 papers in training set
Top 7%
0.9%
26
The FASEB Journal
194 papers in training set
Top 6%
0.8%
27
Journal of Extracellular Vesicles
55 papers in training set
Top 0.6%
0.8%
28
Med
39 papers in training set
Top 0.9%
0.6%
29
Cell Reports Medicine
153 papers in training set
Top 6%
0.6%
30
Frontiers in Neuroscience
256 papers in training set
Top 7%
0.6%