Plasma Malondialdehyde Increases Transiently after Ischemic Forearm Exercise
Bibliographic record
Abstract
UNLABELLED: Exercise and ischemia-reperfusion (I-R) have previously been shown to induce oxidative stress in skeletal muscle. Previous studies have demonstrated conflicting results when exercise-induced oxidative stress has been measured using plasma carbonyls, specifically malondialdehyde (MDA). These conflicting results likely stem from the timing and method utilized to measure plasma carbonyls. PURPOSE: To determine the concentration and timing of aldehyde and ketone generation after ischemic forearm exercise utilizing HPLC analysis. METHODS: Plasma carbonyls, including MDA, 17-beta-estradiol, and lactate, were measured after a forearm ischemic exercise test (FIT) in males and females (in both phases of their menstrual cycle). Blood flow was occluded to the forearm, and six cycles of maximal isometric handgrip exercise were executed using a 9:1, duty:rest cycle, for 60 s. Blood samples were collected pre, immediately post, and 1, 3, and 10 min post-FIT. RESULTS: Plasma MDA increased similarly for both males and females immediately post and 1 min post-FIT (P<0.05) and returned to baseline levels by 3 min post-FIT. Ischemic exercise did not alter plasma concentrations of other measured carbonyls, and gender and menstrual cycle did not influence any measured variable (P>0.05), except for lactate concentrations, which increased more for males (P<0.05). Force was higher for males at all time points (P<0.05); however, there was no effect of gender on percent fatigue. CONCLUSIONS: Future studies must consider sampling times after metabolic stress in order to quantify changes in MDA concentration.
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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) | 0.000 | 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 | 0.000 |
| 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".