Post-prandial hyperlipidaemia impairs systemic vascular function and dynamic cerebral autoregulation in young and old male adults
Bibliographic record
Abstract
To what extent post-prandial hyperlipidaemia (PPH) impacts both systemic vascular function and dynamic cerebral autoregulation (dCA) is unknown. To address this, we recruited 20 healthy young males (24 + 5 y) and compared them to 21 healthy older males (67 + 6 y). In both groups, the following measurements were performed: systemic vascular function was assessed via flow-mediated dilation (FMD) using duplex ultrasound. Forced oscillations in mean arterial pressure (squat-stand manoeuvres) were used to assess dCA via transfer function analysis, with middle cerebral artery velocity recorded continuously. Venous samples were assayed for triglycerides, glucose and insulin. All measurements were completed following an overnight fast prior to and 4 hours following consumption of a standardised high-fat meal. Older males exhibited comparable basal FMD ( P = 0.635 vs. young) and dCA ( P = 0.170-0.998), whereas cerebral perfusion was lower ( P = <0.001-0.028). Triglycerides ( P = < 0.001), glucose ( P = 0.011) and insulin ( P = < 0.001) increased in both groups post-prandially, resulting in impaired FMD ( P = 0.032), increased cerebral pulsatility ( P = < 0.001) and reduced dCA ( P = 0.007-0.037), with the latter more marked in older participants. These findings are the first to demonstrate PPH impairs both systemic vascular function and dCA in both young and old male adults, with the older brain at greater 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 | 0.000 | 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".