Emerging roles of microglia and neuroinflammation in Huntington's disease: From pathophysiology to clinical trials
Bibliographic record
Abstract
Microglia, the resident immune cells of the central nervous system, play a pivotal role in the response to Huntington's disease (HD) pathology. Through both cell-autonomous mechanisms and exposure to external pathogenic stimuli, microglia transition from a resting to an activated state, producing pro-inflammatory cytokines and chemokines that mediate inflammation. While this inflammatory response attempts to have a neuroprotective compensatory effect, chronic microglial activation exacerbates neuroinflammation, neurodegeneration and contributes to disease progression. Evidence from postmortem analyses and neuroimaging studies indicates that activated microglia are present in various stages of HD, correlating with neuronal degeneration and clinical symptoms. Enhanced microglial activation has been identified as an early predictor of disease onset, particularly in premanifest HD, highlighting the potential of targeting microglial pathways for therapeutic interventions. This review explores microglia's dual role in HD pathophysiology, exploring their contributions to both neuroinflammation and neuroprotection. It also examines recent advances in clinical trials aimed at modulating microglial activity, paving the way for novel therapeutic strategies to alter disease progression and improve patient outcomes.
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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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".