Differential effects of xanthine oxidase inhibition and exercise on albumin concentration in rat tissues
Bibliographic record
Abstract
Albumin is a protein present in almost all kinds of mammalian cells. It has binding sites for several molecules, and possesses antioxidant and other important properties. The aim of this study was to examine the effects of 2 different oxidative stress stimuli - exercise and allopurinol administration - and their combination on albumin concentration in several rat tissues. Samples of soleus, extensor digitorum longus (EDL), and gastrocnemius muscles, and the liver and heart were collected before, immediately after, and 5 h after exercise, and collected at the respective time points after allopurinol administration. Albumin dimmers, markers of oxidative stress, were also assessed in EDL muscle. Albumin concentration increased in the skeletal muscles examined, whereas it decreased in the heart and remained unaffected in the liver after exercise. Allopurinol alone did not affect albumin concentration in any of the tissues. Albumin concentration increased in soleus and EDL muscles, decreased in gastrocnemius muscle and the liver, and remained unaffected in the heart after exercise and allopurinol combination. Albumin dimmers also increased postexercise in EDL muscle. Our findings suggest that the increase in albumin concentration in skeletal muscles may be an antioxidant mechanism response, but may depend on the type of oxidative stress and be stimulation- and tissue-specific.
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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 | 0.000 | 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".