Bradykinin B<sub>2</sub>receptor gene polymorphism is associated with altered urinary albumin/creatinine values in diabetic patients
Bibliographic record
Abstract
Diabetic nephropathy (DN) is an important microvascular complication of both insulin-dependent and non-insulin-dependent diabetes mellitus. Considerable evidence exists that genetic predisposition is a major determinant in the development of DN. Progress in the understanding of the kinin receptor gene expression indicates their relevance in nephrology and renal pathology. In order to investigate whether clinically relevant polymorphisms of the kinin receptor genes contribute to the genetic predetermination of the renal complication of diabetes, we have initiated a retrospective study with a mixed population of 49 type 1 and 112 type 2 diabetic patients who have been followed for several years by an endocrinologist and (or) nephrologist with periodical functional tests relevant to DN (microalbuminuria, serum and urinary creatinine). The allelic frequencies of four kinin receptor polymorphisms, including three B2R polymorphisms (the C/T-58 promoter polymorphism, the exon 2 and exon 1 polymorphisms, all of them with assumed clinical significance) and the putative nephroprotective (G/C-699) B1R promoter polymorphism, were analyzed in all recruited diabetic patients. Our results indicate a significant association of the B2R exon 1 (+/-) genotype with increased urinary albumin/creatinine values (P = 0.026) and serum creatinine levels (P = 0.028). More importantly, the (+) allele of B2R exon 1 polymorphism was associated very significantly with lower albumin/creatinine values in these patients (P = 0.0087). Thus, the B2R exon 1 polymorphism may represent a susceptibility marker for nephropathy progression in diabetic patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".