Effects of H <sub>1</sub> /H <sub>2</sub> histamine receptor blockade on mitochondrial function in rodent brain following prolonged exercise
Bibliographic record
Abstract
Exercise has been shown to stimulate histamine release, which mediates vasodilation in exercising tissue and is sustained post‐exercise. Blockade of H 1 and H 2 receptors with antihistamine drugs attenuates this effect in skeletal muscle. Research examining the effects of exercise‐related histamine action on cellular level processes is relatively sparse. There also remains limited understanding of the impacts of histamine receptor blockade on non‐exercising tissue, such as the brain. To this end, 36 adult male Wistar rats (75–94 days old, 441.2 ± 39.5 g body wt) were randomly assigned to three groups: (1) given H 1 and H 2 receptor antagonists fexofenadine (7.11 mg/kg) and ranitidine (3.95 mg/kg) via oral gavage 1 hr prior to treadmill exercise (1 hr, 20 cm/s); (2) completed the exercise without drug, and (3) control. All groups received body mass‐proportional oral gavage volumes (water or antihistamines). One hour post‐exercise, mitochondrial function was assessed in saponin‐permeabilized prefrontal cortex and dorsal hippocampus brain sub‐regions. There was no effect of exercise or drug treatment on mitochondrial substrate‐dependent oxygen consumption ( J O 2 ; high‐resolution respirometry), or in mitochondrial hydrogen peroxide emission (mH 2 O 2 ; fluorometric monitoring of Amplex Red oxidation) in permeabilized prefrontal cortex or the dorsal hippocampus. These results suggest negligible effects of oral H 1 /H 2 antagonists on mitochondrial metabolism in brain following exercise. This supports prior evidence suggesting the effects of H 1 /H 2 inhibition remain localized in exercising muscle. Other studies report systemic increases in histamine levels following exercise, however, which suggests further research may reveal a relationship between histamine receptor blockade and cellular processes in non‐exercising tissues. Support or Funding Information The Natural Sciences and Engineering Research Council of Canada (NSERC), The Nova Scotia Health Research Foundation (NSHRF), and Canada Foundation for Innovation (CFI) This abstract is from the Experimental Biology 2018 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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".