Effects of DHA-rich fish oil supplementation on the lipid profile, markers of muscle damage, and neutrophil function in wheelchair basketball athletes before and after acute exercise
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Bibliographic record
Abstract
We investigated the effects of docosahexaenoic acid (DHA)-rich fish oil (FO) supplementation on the lipid profile, levels of plasma inflammatory mediators, markers of muscle damage, and neutrophil function in wheelchair basketball players before and after acute exercise. We evaluated 8 male basketball wheelchair athletes before and after acute exercise both prior to (S0) and following (S1) FO supplementation. The subjects were supplemented with 3 g of FO daily for 30 days. The following components were measured: the plasma lipid profile (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides), plasma inflammatory mediators (C-reactive protein, interleukin (IL)-1β, IL-1ra, IL-4, IL-6, IL-8, and tumor necrosis factor-α), markers of muscle damage (creatine kinase and lactate dehydrogenase (LDH)), and neutrophil function (cytokine production, phagocytic capacity, loss of membrane integrity, mitochondrial membrane potential, neutral lipid accumulation, phosphatidylserine externalization, DNA fragmentation, and production of reactive oxygen species (ROS)). Acute exercise increased the plasma levels of total cholesterol, LDH, IL1ra, and IL-6, led to the loss of membrane integrity, ROS production, and a high mitochondrial membrane potential in neutrophils, and reduced the phagocytic capacity and IL-6 production by the neutrophils (S0). However, supplementation prevented the increases in the plasma levels of LDH and IL-6, the loss of membrane integrity, and the alterations in ROS production and mitochondrial membrane potential in the neutrophils that were induced by exercise (S1). In conclusion, DHA-rich FO supplementation reduces the markers of muscle damage, inflammatory disturbances, and neutrophil death induced by acute exercise in wheelchair athletes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it