Redistribution of Integrins in Tubular Epithelial Cells during Diabetic Glycogen Nephrosis
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Bibliographic record
Abstract
<i>Background/Aims:</i> Even though many aspects of glycogen nephrosis in diabetes have already been studied, adhesion interactions between the glycogen-accumulating clear cells and the tubular basement membranes have not been addressed. As integrins play key roles in cell-to-matrix interactions, we investigated the expression and distribution of α<sub>3</sub>-, α<sub>V</sub>-, β<sub>1</sub>- and β<sub>3</sub>-integrin subunits in renal tissues from streptozotocin-induced hyperglycemic rats (3 months old) and their age-matched controls as well as from streptozotocin-injected normoglycemic animals. <i>Methods:</i> The levels and distribution of integrins were studied by immunocytochemistry and Western blot analysis. <i>Results:</i> Immunoblotting analysis of fractions enriched in glycogen-accumulating clear cells demonstrated enhanced expression of α<sub>3</sub>, α<sub>V</sub> and β<sub>1</sub> subunits while expression of β<sub>3</sub> did not differ from controls. The most striking cytochemical result was the redistribution of the α<sub>3</sub>-, α<sub>V</sub>-, and the β<sub>1</sub>-integrin subunits to the apical plasma membrane of these cells. This was found by light and electron microscopy. <i>Conclusion:</i> Our results suggest that the altered expression and distribution of integrins in clear cells of diabetic animals must have defined roles in the development of the renal tubulopathy.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it