Systemic hemodynamic function in humans with type 1 diabetes treated with protein kinase Cβ inhibition and renin–angiotensin system blockade: a pilot study
Bibliographic record
Abstract
The protein kinase Cβ (PKCβ) system has been implicated in the deleterious vascular responses to hyperglycemia and angiotensin II (Ang II) in experimental models of diabetes (DM). Whether these interactions are important in humans is unknown. Flow-mediated vasodilatation (FMD) was measured during clamped euglycemia and hyperglycemia, before and after randomization to PKCβ inhibition (ruboxistaurin; RBX, 32 mg daily, n = 13) or a placebo (n = 7) for 8 weeks in renin-angiotensin system (RAS) blockade-treated subjects with type 1 DM. Blood pressure responses to infused Ang II were measured before and after randomization to RBX or a placebo. The RBX and placebo groups displayed similar clinical characteristics. Before RBX, FMD declined in response to hyperglycemia (6.8% ± 2.8% to 4.9% ± 1.8%). This effect was reversed after treatment with RBX (5.6% ± 3.1% to 6.0% ± 1.6% (within-group change, p = 0.009 (ANOVA)). No changes were observed in the placebo group. Infused Ang II was associated with hypertensive responses in the RBX and placebo groups (p < 0.05 (ANOVA)), and RBX did not influence this effect. In conclusion, RBX blunted the effect of hyperglycemia on FMD, suggesting that PKCβ may modulate endothelial function in type 1 DM. The lack of effect on Ang II responses suggests that PKCβ inhibition may act through non-RAS pathways in humans with DM.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".