Effects of L-Citrulline Supplementation on Endothelial Function, Arterial Stiffness, and Blood Glucose Level in the Fasted and Acute Hyperglycemic States in Middle-Aged and Older Adults with Type 2 Diabetes
Bibliographic record
Abstract
Background: Acute and chronic hyperglycemia in patients with type 2 diabetes mellitus (T2DM) causes endothelial dysfunction and arterial stiffness, contributing to early mortality from cardiovascular disease (CVD). Although L-citrulline (CIT) supplementation improves endothelial function in older women and decreases fasting glucose in those with T2DM, whether it improves vascular function and blood glucose during acute hyperglycemic states in T2DM is unknown. Methods: We randomized 16 patients with T2DM (age 62 ± 6 years) to consume either CIT (6 g/day) or placebo for 4 weeks. Brachial artery flow-mediated dilation (FMD), brachial and aortic blood pressure, aortic and leg arterial stiffness (pulse wave velocity, PWV), and blood glucose concentration were assessed in the fasted state and 60 min following glucose ingestion (during acute hyperglycemia). Results: Four weeks of L-citrulline supplementation improved FMD, femoral-ankle PWV, aortic systolic blood pressure, and blood glucose concentration in the fasted state compared to placebo (all p < 0.05). During acute hyperglycemia, CIT supplementation increased FMD and reduced femoral-ankle PWV, aortic systolic BP, and glucose levels compared to placebo (all p < 0.05). Conclusions: CIT supplementation is beneficial to improve vascular function and glucose levels during chronic and acute hyperglycemia in middle-aged and older adults with T2DM.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".