The impact of an acute oral phosphate load on endothelium dependent and independent brachial artery vasodilation in healthy males
Bibliographic record
Abstract
Serum phosphate levels are associated with cardiovascular morbidity and mortality in the general population and endothelial dysfunction may be mechanistically involved. The purpose of this study was to investigate the effects of acute phosphate supplementation on endothelial-dependent (flow-mediated dilation; FMD) and -independent (glyceryl trinitrate; GTN)) vasodilation in young, healthy males. Seventeen healthy male participants (age, 23 ± 3 years) were exposed to an oral load of phosphate (PHOS; liquid supplement containing 1200 mg of phosphorous) and placebo (PLAC) over 2 experimental days. A brachial artery FMD test was performed pre-ingestion and at 20 min, 60 min, and 120 min following the ingestion of the phosphate load or the placebo. GTN tests were performed pre- and 140 min post-ingestion. Serum phosphate was not impacted differently by phosphate versus placebo ingestion (p = 0.780). In contrast, urinary phosphate excretion was markedly increased in the PHOS (p < 0.001) but not in the PLAC condition (p = 0.130) (Δ fractional excretion of phosphate in PHOS (29.2%) vs. PLAC (9.3%)). This indicates that circulating phosphate levels were homeostatically regulated. GTN-mediated vasodilation was not significantly affected by phosphate ingestion. In primary analysis no impact of phosphate ingestion on FMD was detected. However, when the shear stress stimulus was added as a covariate in a subset of participants, exploratory pairwise comparisons revealed a significantly lower FMD 20 min post-phosphate ingestion versus placebo (p = 0.024). The effects of phosphate ingestion on FMD and serum phosphate are in contrast with previous findings and the mechanisms that underlie the disparate results require further investigation.
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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) | 0.001 | 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".