Plasma uric acid effects on glomerular haemodynamic profile of patients with uncomplicated Type 1 diabetes mellitus
Bibliographic record
Abstract
AIMS: Increased plasma uric acid (PUA) levels are associated with impaired renal function in patients with Type 1 diabetes, but the mechanisms are not well understood. Our aim was to evaluate whether higher PUA levels are associated with increased afferent arteriolar resistance in patients with Type 1 diabetes vs. healthy controls, thereby influencing renal function. METHODS: PUA, GFR (inulin) and effective renal plasma flow (ERPF; para-aminohippurate) were measured in 70 otherwise healthy patients with Type 1 diabetes and 60 healthy controls. Gomez's equations were used to estimate afferent (RA ) and efferent (RE ) arteriolar resistances, glomerular hydrostatic pressure (PGLO ) and filtration pressure (ΔPF ). The relationships between PUA and glomerular haemodynamic parameters were evaluated by univariable linear regression correlation coefficients. RESULTS: In patients with Type 1 diabetes, higher PUA correlated with lower PGLO (P = 0.002) and ΔPF (P = 0.0007), with higher RA (P = 0.001), but not with RE (P = 0.55). These associations were accompanied by correlations between higher PUA with lower GFR (P = 0.0007), ERPF (P = 0.008), RBF (P = 0.047) and higher RVR (P = 0.021). There were no significant correlations between PUA and renal haemodynamic parameters in the healthy controls. CONCLUSIONS: The association between higher PUA with lower GFR and lower ERPF in patients with Type 1 diabetes is driven by alterations in the estimated RA . PUA-mediated RA may be caused by increased tone or thickening of the afferent renal arteriole, which might potentiate renal injury by causing ischaemia to the renal microcirculation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".