Angiotensinogen M235T genotype predicts progression in chronic renal allograft dysfunction1
Bibliographic record
Abstract
BACKGROUND: Genotypes of the renin-angiotensin system have been implicated in essential hypertension and in progression of native kidney diseases, but gene effects on progression in chronic renal allograft dysfunction are unclear. METHODS: To examine gene effects on long-term renal allograft function, we conducted a prospective cohort study of 210 nondiabetic renal allograft recipients younger than 36 years of age who underwent transplantation between 1980 and 1993 and were followed up through 1999. All grafts survived more than 1 year and all subjects received cyclosporine-based immunosuppression. DNA was analyzed by polymerase chain reaction for the angiotensin-converting enzyme insertion/deletion and angiotensinogen (AGT) M235T polymorphisms. Linear regression multivariate modeling of the slope of the inverse creatinine-versus-time, survival analyses for time-to-sustained doubling of baseline serum creatinine, time-to-graft loss, and a composite endpoint including patient death were performed. RESULTS: Mean follow-up time was 8.4+/-3 years. Genotype frequencies for each marker system did not deviate significantly from the Hardy-Weinberg equilibrium. The slope of the inverse creatinine-versus-time for AGT 235T/T and M/T was significantly increased compared with M/M ( <0.0001). The AGT 235T/T genotype was also associated with a shorter time-to-sustained doubling of serum creatinine ( =0.001). When subjects were divided into quartiles based on slope magnitude, the frequency of the AGT 235T/T genotype was overrepresented in the fastest progressing group compared with the slowest ( =0.001). The AGT 235T/T genotype was also associated with shorter time-to-graft loss ( =0.007) and the composite endpoint ( =0.001). CONCLUSION: The AGT 235 T allele independently influences long-term decline in renal allograft function.
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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 | 0.000 |
| 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 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".