RAS Blockade Inhibits Bcl‐2 Modifying Factor (Bmf) Expression and Prevents Hypertension and Tubular Apoptosis in Diabetic Akita Mouse Kidneys
Bibliographic record
Abstract
Background We reported that pro‐apoptotic protein Bmf is highly expressed in diabetic mouse renal proximal tubular cells (RPTCs) and induces RPTC apoptosis in vitro (Diabetes 2012). The regulation of Bmf expression in RPTCs, however, is not well understood. We investigated whether renin‐angiotensin system (RAS) blockade could prevent Bmf expression, hypertension and RPTC apoptosis in Akita mice (a model of type 1 diabetes) in vivo and in vitro . Methods Adult male Akita mice (11 weeks) were treated ± RAS blockers (losartan, 30 mg.Kg −1 .day −1 and perindopril, 4 mg.Kg − 1 .day −1 in drinking water) until 16 weeks. Controls were untreated non‐Akita littermates. Plasma glucose, systolic blood pressure (SBP) and albuminuria were monitored weekly. Kidneys were processed for histology and apoptosis studies (TUNEL assay). RPTC gene and protein expression were quantified by real time‐qPCR and Western blotting, respectively. We also examined the effect of angiotensin II (Ang II) on Bmf gene expression in cultured rat immortalized RPTCs. Results Akita mice developed hyperglycemia and significantly higher SBPs, kidney/body weight ratios and albuminuria, cf. to non‐Akita littermates. Kidneys from Akita mice displayed renal hypertrophy and tubular apoptosis cf. to non‐Akita littermates. Increased expression of Agt, Bmf and active caspase‐3 were evident in RPTCs of Akita mice. Treatment with RAS blockers inhibited Agt and Bmf expression, prevented hypertension and albuminuria and attenuated tubular apoptosis in Akita mice. Finally, Ang II stimulated Bmf mRNA expression in RPTCs and its effect was abolished in the presence of losartan. Conclusion Ang II up‐regulates Bmf expression and RAS blockade effectively inhibits Bmf expression and prevents hypertension and tubular apoptosis in diabetic kidneys. Supported by Canadian Institutes of Health Research.
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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 | 0.001 | 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) | 0.002 | 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".