Targeting C1q prevents microglia-mediated synaptic removal in neuropathic pain
Bibliographic record
Abstract
Activation of spinal microglia following peripheral nerve injury is a central component of neuropathic pain pathology. While the contributions of microglia-mediated immune and neurotrophic signalling have been well-characterized, the phagocytic and synaptic pruning roles of microglia in neuropathic pain remain less understood. Here, we show that peripheral nerve injury induces microglial engulfment of dorsal horn synapses, leading to a preferential loss of inhibitory synapses and a shift in the balance between inhibitory and excitatory synapse density. This synapse removal is dependent on the microglial complement-mediated synapse pruning pathway, as mice deficient in complement C3 and C4 do not exhibit synapse elimination. Furthermore, pharmacological inhibition of the complement protein C1q prevents dorsal horn inhibitory synapse loss and attenuates neuropathic pain. Therefore, these results demonstrate that the complement pathway promotes persistent pain hypersensitivity via microglia-mediated engulfment of dorsal horn synapses in the spinal cord, revealing C1q as a therapeutic target in neuropathic pain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".