Homocysteine-lowering exercise effect is greater in hyperhomocysteinemic people living with HIV: a randomized clinical trial
Bibliographic record
Abstract
Elevated concentration of homocysteine has been identified as an independent risk factor for the development of cardiovascular disease and is frequently associated with oxidative stress. Moreover, studies have shown that people living with human immunodeficiency virus (PLHIV) present elevated concentration of homocysteine and oxidative stress compared with people without HIV. Our purpose was to describe blood homocysteine and oxidative stress markers in PLHIV and those without HIV infection, and to examine the effects of a 16-week combined training exercise program (CTE) on oxidative stress and homocysteine concentrations of PLHIV. We included 49 PLHIV (21 men, 28 women) and 33 people without HIV infection (13 men, 20 women). After baseline evaluations, 30 PLHIV were randomized to either CTE (trained group, n = 18) or the control group (n = 12); CTE consisted of aerobic and strength exercise sessions during 16 weeks, 3 times a week. Plasma homocysteine, oxidative damage markers, folate, and vitamin B12 were assessed pre- and post-training and by hyperhomocysteinemia (homocysteine ≥ 15 μmol/L) status. At baseline, PLHIV had higher levels of homocysteine and malondialdehyde, as well as reduced circulating folate when compared with people without HIV infection. CTE resulted in a 32% reduction (p < 0.05) in homocysteine concentration and a reduction in lipid hydroperoxide in PLHIV with hyperhomocysteinemia, which was not observed in those without hyperhomocysteinemia. Hyperhomocysteinemic participants experienced a 5.6 ± 3.2 μmol/L reduction in homocysteine after CTE. In summary, 16 weeks of CTE was able to decrease elevated homocysteine concentration and enhance redox balance of PLHIV with hyperhomocysteinemia, which could improve their cardiovascular risk.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".