Renin angiotensin system gene polymorphisms in pediatric renal transplant recipients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Genetic variability in the renin angiotensin system may modify renal responses to injury and disease progression. We therefore examined whether the insertion/deletion polymorphism of the angiotensin-converting enzyme (ACE) gene, the Met235-->Thr polymorphism of the angiotensinogen (AGT) gene, and the A1166-->C polymorphism of the angiotensin II type 1 receptor gene (ATR1) were associated with disease progression and outcome after renal transplantation (Tx) in 100 Caucasian pediatric renal transplant recipients. The observed allele frequencies were: DD 31%, DI 41% and II 28%, for ACE; MM 42%, MT 37% and TT 21%, for the methionine (Met)235-->threonine (Thr) polymorphism of AGT; and AA 51%, AC 38% and CC 11%, for the adenine (A)1166-->cytosine (C) gene polymorphism. The slope of 1/creatinine was determined by linear regression analysis of a median of 12 points before and after renal Tx, and the population was divided in two equal groups, according to the slope, both before and after Tx. There were no statistically significant differences for AGT, ACE, and ATR1 polymorphisms with regard to the slope of 1/creatinine before renal Tx. After renal Tx, the ACE II genotype (p = 0.024, chi-square test) and the presence of the I allele (p=0.033, chi-square test) were associated with a favorable slope of 1/creatinine. There was no association of the AGT or the ATR1 polymorphism with outcome after renal Tx, and none of the genotypes were associated with hypertension before or after renal Tx. We suggest that the beneficial association of disease progression after renal Tx with the II genotype and/or the presence of the I allele in our pediatric cohort might be explained by a lower activity of the circulating ACE enzyme associated with the I allele.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it