Overexpression of GFAT activates PAI-1 promoter in mesangial cells
Bibliographic record
Abstract
Effects of hyperglycemia on glomerular cells may be mediated by glucose entry into the hexosamine pathway, and mesangial cell (MC) expression of the hexosamine pathway rate-limiting enzyme glutamine:fructose-6-phosphate amidotransferase (GFAT) is increased in diabetic glomerulosclerosis. We hypothesized that GFAT activity would be an important determinant of gene expression in glomerular MC. When overexpressed in primary MC, GFAT produced a two- to threefold increase in the activity of plasminogen activator inhibitor-1 (PAI-1) promoter. There was a 1.4-fold increase in PAI-1 promoter activity in cells exposed to high glucose (20 mM), whereas in MC overexpressing GFAT, exposure to high glucose caused a 3.5- to 4-fold increase in promoter activity. PAI-1 promoter activation was dependent on GFAT enzyme activity because o-diazoacetyly-L-serine and 6-diazo-5-oxonorleucine, inhibitors of GFAT enzyme activity, abrogated the activation of PAI-1 promoter in MC overexpressing GFAT. Glucosamine, which is downstream of GFAT in the hexosamine pathway, produced a 2.5-fold increase in the PAI-1 promoter activity. In addition to increasing the mRNA levels for transforming growth factor-beta1 (TGF-beta1), GFAT overexpression also increased mRNA levels for the TGF-beta type I and type II receptors. TGF-beta-neutralizing antibody did not normalize PAI-1 promoter activity in MC exposed to glucosamine or those overexpressing GFAT. We conclude that GFAT expression and activity are important determinants of gene expression in MC and that flux through the hexosamine pathway activates expression of genes implicated in vascular injury pathways.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".