Impact of Renin Angiotensin System Modulation on the Hyperfiltration State in Type 1 Diabetes
Bibliographic record
Abstract
The initial stages of diabetic nephropathy are characterized by glomerular hyperfiltration and hypertension, processes that have been linked to initiation and progression of renal disease. Renin angiotensin system (RAS) blockade is commonly used to modify the hyperfiltration state and delay progression of renal disease. Despite this therapy, many patients progress to ESRD, suggesting heterogeneity in the response to RAS modulation. The role of the RAS in the hyperfiltration state in adolescents with uncomplicated type 1 diabetes was examined, segregated on the basis of the presence of hyperfiltration. Baseline renal hemodynamic function was characterized in 22 patients. Eleven patients exhibited glomerular hyperfiltration (GFR>or=135 ml/min), and in the remaining 11 patients, the GFR was <130 ml/min. Renal hemodynamic function was assessed in response to a graded angiotensin II (AngII) infusion during euglycemic conditions and again after 21 d of angiotensin-converting enzyme (ACE) inhibition with enalapril. AngII infusion under euglycemic conditions resulted in a significant decline in GFR and renal plasma flow in the hyperfiltration group but not in the normofiltration group. After ACE inhibition, GFR fell but did not normalize in the hyperfiltration group; the normofiltration group showed no change. These data show significant differences in renal hemodynamic function between hyperfiltering and normofiltering adolescents with type 1 diabetes at baseline, after AngII infusion and ACE inhibition. The response to ACE inhibition and AngII in hyperfiltering patients suggests that vasodilation may complement RAS activation in causing the hyperfiltration state. The interaction between glomerular vasoconstrictors and vasodilators requires examination in future studies.
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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 | 0.000 |
| 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) | 0.000 | 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 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".