Evidence that reduced nitric oxide signal contributes to cutaneous microvascular dysfunction in peripheral arterial disease
Bibliographic record
Abstract
Peripheral arterial disease (PAD) is associated with cutaneous microvascular dysfunction and an increased risk of arterial ulceration in the affected lower-limb(s). The purpose of this study was to investigate the role of nitric oxide (NO) in cutaneous microvascular dysfunction in patients with PAD. Using laser-Doppler flowmetry, we measured skin blood flow (SkBF) in 5 patients with unilateral symptomatic PAD and 10 age-matched healthy controls at baseline and during 40 min of local skin heating to 42°C at 1) untreated lower-leg sites, and 2) lower-leg sites treated with 20 mM N(G)-nitro-L-arginine methyl ester (L-NAME) to inhibit NO synthase activity. SkBF was expressed as laser-Doppler flux (LDF) and normalized to maximal LDF (%LDF(max)) achieved through localized heating to 44°C and concomitant infusion of 56 mM sodium nitroprusside. Pharmacological agents and control treatments (lactated Ringer's) were administered using intradermal microdialysis. The plateau LDF response to local skin warming at the untreated skin sites was significantly (P<0.05) lower in the diseased limb of the PAD patients (70.3±13.6 %max) compared to the non-diseased contralateral limb (85.0±10.2 %max) and the response observed for the control participants (89.0±5.2 %max). The NO contribution to the plateau SkBF response tended to be lower in the diseased limb of the PAD patients (45.1±16.4% versus 56.1±10.7% [P=0.12] and 55.4±11.5% [P=0.13], respectively). The results suggest that PAD impairs downstream cutaneous microvascular vasodilatory function and that the microvascular dysfunction is probably explained, at least in part, by a reduced NO signal.
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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 | 0.001 |
| 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".