Astrogliosis Occurs Selectively in Amygdala of Adolescent Primate and Rodent Following Daily Δ9-Tetrahydrocannabinol, Prevented by Cannabidiol Co-Treatment
Bibliographic record
Abstract
Background: -tetrahydrocannabinol (THC)-triggered neuroadaptive changes in the maturing amygdala remain unclear. Methods: nonhuman primates chronically treated with THC provided leads for targeted analyses of glial fibrillary acidic protein (GFAP), stathmin-1, and neuronal cell adhesion molecule (NrCAM) in a second species of male adolescent (postnatal day [P]35) and adult (P70) Sprague-Dawley rats. Primate activity monitoring and rat behavioral testing revealed THC-disrupted sleep architecture and anxiety-related behavior, respectively. Primary rat astrocyte cultures provided mechanistic insight into THC activation of astrocyte inflammatory function. Results: THC-induced upregulation of GFAP and complement factor-B (CF-B) signified proinflammatory glial activation exclusively in the adolescent amygdala, an effect absent in other brain regions and in adults. THC attenuated synaptic plasticity enhancers, stathmin-1 and NrCAM, effects not recapitulated in adults. Co-administered cannabidiol (CBD) prevented astrogliosis but did not restore synaptic plasticity marker levels. Astrogliosis was correlated with fragmented sleep, and attenuated plasticity markers were correlated with anxiety. THC-induced GFAP and CF-B upregulation with attenuation by CBD were replicated in cultured astrocytes, requiring cannabinoid type 1 receptor (CB1R)-activated calcium signaling. Elevated CB1R expression in the maturing brain was astrocyte-localized in the amygdala, but neuronal in the cortex and striatum. Conclusions: Brain region- and age-specific regulation of CB1R in astrocytes critically links THC and unique adolescent amygdala vulnerability to inflammatory gliosis, impairing behaviors implicated in neuropsychiatric disorders. Mitigation of specific THC-induced changes by CBD offers leads for attenuating some adverse effects of THC.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".