Microglia contribute to social behavioral adaptation to chronic stress
Bibliographic record
Abstract
Abstract Microglial activation has been regarded mainly as an exacerbator of stress response, a common symptom in psychiatric disorders. This study aimed to determine whether microglia contribute to adaptive response of the brain and behavior toward stress using a mild and adaptive stress model – chronic restraint stress (CRS) – with wild type (WT) and CX3CR1‐GFP (CX3CR1[G]) mice and human schizophrenia patients' data. Our results revealed that CRS did not exacerbate anxiety and depressive‐like behaviors, but instead strengthened social dominance and short‐term spatial learning in WT mice. Compared to WT and CX3CR1(+/G) heterozygous mice, CX3CR1(G/G) homozygotes were subordinate in social interaction before and after CRS. Microglia in WT mice underwent a series of region‐specific changes involving their phagocytosis of presynaptic vesicular glutamate transporter 2 protein, contacts with synaptic elements, CD206+microglial proportion, and gene expressions such as Cx3cr1. By contrast, CX3CR1‐deficient microglia showed decreased CD206+ while increased MHCII+ subpopulations and hypo‐ramification in the hippocampus, as well as sensitized polarization and morphological change in response to CRS. Furthermore, CD206+ microglial abundancy was positively correlated with social dominancy and microglial ramification in CX3CR1‐GFP mice. Moreover, CX3CR1 mRNA level was reduced in CRS‐treated mouse brains and showed a smaller interactome with other brain genes in the dorsal‐lateral prefrontal cortices of patients with schizophrenia. Our findings overall highlight microglia and its receptor CX3CR1 as key contributors in regulation of social behavioral adaptation to chronic stress.
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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".