Neonatal propofol anesthesia modifies activity‐dependent processes and induces transient hyperlocomotor response to <scp>d</scp>‐amphetamine during adolescence in rats
Bibliographic record
Abstract
This study examined the influence of propofol anesthesia on the expression of activity-regulated molecules (BDNF and c-Fos) and synaptic plasticity markers (synaptophysin, GAP-43, drebrin) in the frontal cortex and thalamus of 7-day-old (P7) rats. Although these brain regions are the main targets of anesthetic action, they are contained in the cortico-striato-thalamo-cortical feedback loops, involved in naturally occurring and drug-induced psychoses. Therefore, functional integrity of these loops was examined in adolescent and adult rats through d-amphetamine-induced hyperactivity. Propofol treatment (25mg/kg) decreased exon-specific and total BDNF mRNA expression in the frontal cortex and thalamus, in a time-dependent manner. BDNF protein level was increased in the frontal cortex and decreased in the thalamus, which was accompanied by the change of phospho-TrkB expression. Similarly to BDNF, the expression of c-Fos was decreased in the frontal cortex while it was changed only at the protein level in the thalamus. Synaptic plasticity markers changed in a time- and region-specific manner, indicating increased synaptogenesis in the frontal cortex and synapse elimination in the thalamus in P7 rats after the propofol anesthesia exposure. These early molecular changes were followed by time-related, increased motor reaction to d-amphetamine in adolescent, but not in adult rats. Our study revealed that exposure of immature brain to propofol anesthesia during the critical phase of development provoked immediate changes in activity-dependent processes and synaptic adjustment, influencing brain capacity to integrate later developmental events and resulting in temporary altered response to acute psychotropic stimulation during adolescence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".