Evaluation in the monoamine concentrations and microglia morphology in thelocus coeruleus of female ovariectomized rats submitted to hypercapnia
Bibliographic record
Abstract
Introduction: Ovariectomy reduces the hypercapnic ventilatory response and Locus Coeruleus (LC) appears to be involved in this response. Sex hormones as well as CO 2 can act in neurons of LC and also in microglial cells, however what these stimuli promoted in LC monoamine concentrations and microglial morphology is still unknown. Objective: To evaluate monoamine release in the LC, we measured the concentration of norepinephrine (NE), serotonin (5-HT) and dopamine (DA), and the metabolites 5-hydroxyindoleacetic acid (5HIAA; metabolite of 5-HT) and 5-hydroxyphenylacetic acid (DOPAC; metabolite of DA) in the LC, by HPCL method. Material and Methods: Protocols were approved by the local Animal Care and Use Committee (protocol no 8.129/16). For LC microglial analysis, we used ionized calcium-binding adapter molecule-1 (Iba1) immunolabeling to compare the density and morphology of microglia in the LC of OVX and intact female rats during normocapnia or hypercapnia (5%CO2). Protocols were approved by Laval University Animal Care Committee (Permit Number: 2012-023). Results: No significant differences were found in the quantification of the monoamines analyzed as well as their metabolites in OVX female rats compared to intact animals during normocapnia and hypercapnia. Regarding microglia cells in the LC, we observed an increase on morphological index, that indicates a reactive form of the cell, of OVX animals, and also an increase in the nearest neighbor distance (NND) caused by hypercapnia, which may indicate a higher motility of those cells. Conclusions: OVX and hypercapnia can affect microglial cells of LC but not monoamine concentrations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".