Acute Hyperglycemia Decreases Neurovascular Coupling Magnitude in Healthy Females and Males
Bibliographic record
Abstract
Neurovascular coupling (NVC) is the link between neural activity and the corresponding changes to regional cerebral blood flow. Chronic hyperglycemia associated with diabetes has deleterious effects on vascular function. However, the potential effects of acute hyperglycemia on NVC in healthy humans is unknown. We aimed to characterize the effects of acute hyperglycemia on NVC response magnitude in females and males, and hypothesized that acute hyperglycemia would reduce NVC response magnitude. 40 healthy participants (21.6±1.7 yrs; BMI 24.1±4.1 kg/m2; 20 females) were instrumented with electrocardiogram (ECG) to measure heart rate (HR), Finometer to measure mean arterial pressure (MAP), transcranial Doppler ultrasound (TCD) for measurement of posterior cerebral artery velocity (PCAv). Blood glucose was tested using a glucometer and capillary draw via sterile lancet. NVC responses were elicited using a standardized strobe light visual stimulus (VS; 6Hz, 360rpm; 5x30sec on/60sec off) before (fasted) and 30-min after an acute hyperglycemic load (75g glucose, 300ml; 4.8±0.4 vs. 7.5±1.2 mg/dl; P<0.0001). NVC magnitude was quantified as the difference (delta) and percent (%)-change between the mean baseline (2-min average) and the mean of five responses over the 30- sec VS. Acute hyperglycemia reduced delta NVC responses (4.8±3.9 vs. 3.3±3.4 cm/s; P=0.004) and %-change NVC responses (12.5±9.6 vs. 8.1±7.9%; P=0.002). Neither delta nor %-change NVC responses were different between women and men while fasted (P=0.98; P=0.74), nor when hyperglycemic (P=0.42; P=0.34). Our data suggest that acute hyperglycemia decreases NVC response magnitude in healthy adults equally in females and males. Funding Sources: NSERC Discovery, MRU Faculty of Science and Technology *Indicates presenter
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 | 0.000 | 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) | 0.003 | 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".