Expression of SHP-1 induced by hyperglycemia prevents insulin actions in podocytes
Bibliographic record
Abstract
Renal podocyte apoptosis is an early event of diabetic nephropathy progression. Insulin action is critical for podocyte survival. Previous studies demonstrated that Src homology-2 domain-containing phosphatase-1 (SHP-1) is elevated in renal cortex of type 1 diabetic mice; we hypothesized that hyperglycemia-induced SHP-1 expression may affect insulin actions in podocytes. Type 1 diabetic Akita mice (Ins2(+/C96Y)) developed elevated foot process effacement and podocyte apoptosis compared with control littermate mice (Ins2(+/+)). In contrast to Ins2(+/+) mice, insulin-stimulated protein kinase B (Akt) and extracellular signal-regulated kinase (ERK) phosphorylation were remarkably reduced in renal podocytes of Akita mice. This renal insulin resistance was associated with elevated SHP-1 expression in the glomeruli. Cultured podocytes exposed to high glucose concentration (HG; 25 mM) for 96 h exhibited high levels of apoptotic markers and caspase-3/7 enzymatic activity. HG exposure raised mRNA and protein levels of SHP-1 and reduced the insulin-signaling pathway in podocytes. Overexpression of dominant-negative SHP-1 in podocytes prevented HG effects and restored insulin actions. Elevated SHP-1 expression induced by high glucose levels was directly associated with insulin receptor-β in vitro and in vivo to prevent insulin-stimulated Akt and ERK phosphorylation. In conclusion, our results showed that high levels of SHP-1 expression in glomeruli cause insulin resistance and podocyte loss, thereby contributing to diabetic nephropathy.
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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 | 0.000 |
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".