Essential Role(s) of the Intrarenal Renin-Angiotensin System in Transforming Growth Factor–β1 Gene Expression and Induction of Hypertrophy of Rat Kidney Proximal Tubular Cells in High Glucose
Bibliographic record
Abstract
These studies investigated the question of whether the intrarenal renin-angiotensin system (RAS) is essential for transforming growth factor-beta1 (TGF-beta1) gene expression and induction of hypertrophy of renal proximal tubular cells in high glucose in vitro. Antisense and sense angiotensinogen (ANG) cDNAs were stably transfected into rat immortalized renal proximal tubular cells (IRPTC). ANG secretion from rat IRPTC was quantified by a specific RIA for rat ANG. Cellular ANG, TGF-beta1, and collagen alpha1 (type IV) mRNA levels were determined by Northern blot analysis or by reverse transcriptase-PCR assay. Hypertrophy of IRPTC was analyzed by Western blotting of cellular p27(Kip1) protein, flow cytometry, and cellular protein assay. The results showed that stable transfer of antisense ANG cDNA into IRPTC suppressed the basal TGF-beta1 and collagen alpha1 (type IV) mRNA expression and blocked the stimulatory effect of high glucose (i.e., 25 mM) on TGF-beta1 and collagen alpha1 (type IV) mRNA expression and induction of IRPTC hypertrophy. In contrast, stable transfer of sense ANG cDNA into IRPTC had no significant effect on these parameters. These data demonstrate that local intrarenal RAS activation is essential for TGF-beta1 gene expression and induction of hypertrophy of renal proximal tubular cells in high glucose.
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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 | 0.000 | 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) | 0.001 | 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".