Cytoskeletal control in adult microglia is essential to restore neurodevelopmental synaptic and cognitive deficits
Bibliographic record
Abstract
Synaptic dysfunction is a hallmark of neurodevelopmental disorders (NDDs), often linked to genes involved in cytoskeletal regulation. While the role of these genes has been extensively studied in neurons, microglial functions such as phagocytosis are also dependent on cytoskeletal dynamics. We demonstrate that disturbance of actin cytoskeletal regulation in microglia, modeled by genetically impairing the scaffold protein Disrupted-in-Schizophrenia 1 (DISC1), which integrates actin-binding proteins, causes a shift in actin regulatory balance favoring filopodial versus lamellipodial actin organization. The resulting microglia-specific dysregulation of actin dynamics leads to excessive uptake of synaptic proteins. Genetically engineered DISC1-deficient mice show diminished hippocampal excitatory transmission and associated spatial memory deficits. Reintroducing wild-type microglia-like cells via bone marrow transplantation in adult DISC1-deficient mice restores the synaptic function of neurons and rescues cognitive performance. These findings reveal a pivotal role for microglial actin cytoskeletal remodeling in preserving synaptic integrity and cognitive health. Targeting microglial cytoskeletal dynamics may effectively address cognitive impairments associated with NDDs, even in adulthood.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".