Histamine levels during postexercise hypotension assessed by skeletal muscle microdialysis in inactive limbs
Bibliographic record
Abstract
The activation of histamine receptors in skeletal muscle has been implicated as a major mediator of postexercise hypotension. The purpose of this study was to examine the role that histamine plays in postexercise hypotension in humans. Histamine detection by microdialysis was tested by infusing compound 48–80 (a mast cell degranulator) through microdialysis probes inserted into the biceps muscle of resting humans. Interstitial histamine levels increased (P<0.05) from 2.46±.96 pre‐infusion to 6.81±0.74 ng/ml post‐infusion, confirming our ability to measure changes in endogenous histamine concentrations. Subsequently, six subjects had microdialysis probes inserted into their biceps muscle (inactive) 75 min prior to lower limb cycling exercise at 60% Vo 2 peak for 60 min. Dialysate histamine concentrations were 2.22±0.21 before, 1.71±0.19 during, and 1.09±0.18 ng/ml after exercise and were not significantly different across time. These data indicate that muscle interstitial histamine levels do not increase during or following exercise in inactive limb muscles. Therefore, the next step will be to examine whether histamine levels are altered in the active limb muscles during the postexercise period by directly measuring histamine concentrations via microdialysis in the exercised muscle. Supported by AHA 0555623Z.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".