Identifying the Role of Complement in Triggering Neuroinflammation after Traumatic Brain Injury
Bibliographic record
Abstract
The complement system is implicated in promoting acute secondary injury after traumatic brain injury (TBI), but its role in chronic post-traumatic neuropathology remains unclear. Using various injury-site targeted complement inhibitors that block different complement pathways and activation products, we investigated how complement is involved in neurodegeneration and chronic neuroinflammation after TBI in a clinically relevant setting of complement inhibition. The current paradigm is that complement propagates post-TBI neuropathology predominantly through the terminal membrane attack complex (MAC), but the focus has been on acute outcomes. Following controlled cortical impact in adult male mice, we demonstrate that although inhibition of the MAC (with CR2-CD59) reduces acute deficits, inhibition of C3 activation is required to prevent chronic inflammation and ongoing neuronal loss. Activation of C3 triggered a sustained degenerative mechanism of microglial and astrocyte activation, reduced dendritic and synaptic density, and inhibited neuroblast migration several weeks after TBI. Moreover, inhibiting all complement pathways (with CR2-Crry), or only the alternative complement pathway (with CR2-fH), provided similar and significant improvements in chronic histological, cognitive, and functional recovery, indicating a key role for the alternative pathway in propagating chronic post-TBI pathology. Although we confirm a role for the MAC in acute neuronal loss after TBI, this study shows that upstream products of complement activation generated predominantly via the alternative pathway propagate chronic neuroinflammation, thus challenging the current concept that the MAC represents a therapeutic target for treating TBI. A humanized version of CR2fH has been shown to be safe and non-immunogenic in clinical trials. SIGNIFICANCE STATEMENT Complement, and specifically the terminal membrane attack complex, has been implicated in secondary injury and neuronal loss after TBI. However, we demonstrate here that upstream complement activation products, generated predominantly via the alternative pathway, are responsible for propagating chronic inflammation and injury following CCI. Chronic inflammatory microgliosis is triggered by sustained complement activation after CCI, and is associated with chronic loss of neurons, dendrites and synapses, a process that continues to occur even 30 d after initial impact. Acute and injury-site targeted inhibition of the alternative pathway significantly improves chronic outcomes, and together these findings modify the conceptual paradigm for targeting the complement system to treat TBI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".