Tubular and Interstitial Cell Apoptosis in the Streptozotocin-Diabetic Rat Kidney
Bibliographic record
Abstract
BACKGROUND/AIMS: Angiotensin II (Ang II) mediates progressive nephron loss in diabetes and stimulates apoptotic cell death in several tissues. We studied the extent of apoptosis in streptozotocin (STZ) induced diabetic nephropathy in the rat and the effects of insulin and type 1 (AT1) or type 2 (AT2) Ang II receptor blockade with losartan or PD123319, respectively. METHODS: Three groups of rats were studied after 2 and 12 weeks: (1) controls; (2) STZ-diabetic rats (STZ rats), and (3) STZ-diabetic rats with insulin implants. Additional rats were treated with losartan (25 mg/kg/day) and/or PD123319 (10 mg/kg/day) for 2 weeks. Kidneys were examined for apoptosis, using the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay, DNA laddering, and electron microscopy. Immunoblotting determined expression of the proapoptotic protein Bax and of the antiapoptotic protein Bcl-2 in proximal tubules. RESULTS: Diabetes caused a significant increase in apoptosis, involving tubular and interstitial cells of cortex and medulla, but not glomerular cells (2 weeks: controls 264 +/- 94 vs. STZ rats 1,501 +/- 471 apoptotic nuclei/kidney section; p < 0.02; n = 6-8), an effect reversed by insulin. In STZ rats, ultrastructural examination revealed chromatin condensation and nuclear fragmentation in tubular and interstitial cells. At 2 and 12 weeks, a significant decrease in the expression of the antiapoptotic protein Bcl-2 occurred in STZ rat proximal tubules, with restoration by insulin. In STZ rats, treatment for 2 weeks with losartan or PD123319 inhibited apoptosis in the kidneys, with no additive effect of the combination therapy. CONCLUSIONS: Apoptosis occurs in diabetic nephropathy, involving tubular and interstitial cells, an effect reversed by insulin therapy. Furthermore, the effects of AT1 or AT2 receptor blockade suggest that Ang II is involved in mediating apoptosis in the diabetic kidney.
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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) | 0.001 | 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".