Consequences of Microglial Depletion on the Hypercapnic Ventilatory Response of Female Rats
Bibliographic record
Abstract
Panic disorder (PD) is a neurological disorder associated with an abnormally high hypercapnic ventilatory response. In humans and rodents, early life stress is a significant risk factor for PD. Based on recent data indicating that CO 2 /H + sensing by microglia is an important mechanism in the translation of hypercapnic stimulation into physiological responses, we tested the hypothesis that depletion of microglia by pharmacological treatment can decrease the hypercapnic ventilatory response. We also proposed that this effect is greater in stressed rats than controls. The prevalence of PD being ~2 times greater in women than men, experiments were performed on female rats. Following birth, rats were either raised under control conditions or subjected to neonatal maternal separation (NMS; 3h/day, postnatal days 3 to 12). At 8 weeks, females were fed a palatable treat containing either vehicle (DMSO) or PLX3397 (40mg/kg). Treatment was performed daily for 10 consecutive days. 1 day after completion of the treatment, rats were placed in a plethysmography chamber to measure ventilatory activity at rest (room air) followed by hypercapnic exposure (FiCO 2 = 0.05; 10 min). Iba‐1 immunohistochemistry was used to quantify microglial density; measurements performed in hypothalamic structures containing orexin neurons showed that PLX3397 treatment educed microglial density by 31%; this effect did not differ between the structures quantified. Furthermore, our preliminary results suggest that oestrus cycle influences the impact of microglial depletion on the CO 2 response. During the estrus phase, PLX3397 attenuated the hypercapnic ventilatory response of controls but augmented the response of NMS females. These data suggest that microglia contribute to the abnormal effects that ovarian hormones exert on the neural networks regulating CO 2 /H + chemoreflex respiratory regulation in NMS rats. These data provide the basis for the exploration of new treatment for respiratory manifestations of PD. Support or Funding Information Supported by the Canadian Institutes of Health Research (RK & FB). This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".