Angiotensinogen Gene M235T and T174M Polymorphisms in Diabetic Nephropathy in a Bangladeshi Population
Bibliographic record
Abstract
Background: Marker gene polymorphisms linked with the renin-angiotensin-aldosterone system (RAAS) have been broadly studied in diabetic nephropathy (DN) patients considering that RAAS is a potential drug target to slow down kidney disease progression. Objectives: The aim of the present study was to determine the link between M235T and T174M variants of angiotensinogen (AGT) gene and DN. Methods: A total of 93 patients with DN, mean age of 56±8 years, systolic blood pressure (SBP) of 141±14, and diastolic blood pressure (DBP) of 84±7 mm Hg (mean±SD) were investigated, among whom 59 patients had a family history of type 2 diabetes mellitus. A total of 96 healthy subjects served as the control group with no family history of diabetic nephropathy (FHDN) and type 2 diabetes mellitus, a mean age of 47±10 years, SBP of 126±11, and DBP of 76±6 mm Hg. PCR–restriction fragment length polymorphism was employed for genotyping M235T and T174M molecular variants. Results: Genotype frequencies of the variants M235T (χ2=2.038, P=0.361) and T174M (χ2=2.952, P=0.229) did not show any statistically significant association with type 2 diabetic nephropathy (T2DN) compared to the control. Based on FHDN and family history of diabetes mellitus (FHDM), the frequency of genotypes of M235T marker (P=0.360) in FHDN, and (P=0.886) FHDM; T174M marker (P=0.641) in FHDN, and (P=0.425) FHDM also did not show any statistically significant association with T2DN compared to the controls. Conclusion: M235T and T174M variants were not associated with DN in a Bangladeshi population.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".