Stress Proteins in Glomerular Epithelial Cell Injury
Bibliographic record
Abstract
Glomerular visceral epithelial cells (GEC) or podocytes are highly differentiated, specialized cells that play a key role in the maintenance of glomerular permselectivity. Injury of GEC, leading to proteinuria, contributes to the pathogenesis of human and experimental glomerulopathies. Recent studies have demonstrated that stress proteins may be induced and may be involved in the modulation of GEC injury. The C5b-9 membrane attack complex of complement induces GEC injury and proteinuria in the passive Heymann nephritis (PHN) model of membranous nephropathy. C5b-9 induces upregulation of the endoplasmic reticulum (ER) stress proteins, bip and grp94, in part, via activation of cytosolic phospholipase A2. These ER stress proteins limit complement-mediated GEC injury. In experimental nephropathy associated with hyperlipidemia, and in experimental diabetic nephropathy, there is an upregulation of the ER heat shock protein (Hsp) 47, a chaperone protein involved in the synthesis or assembly of collagens. Hsp47 expression in GEC is associated with increased deposition of collagen, and glomerulosclerosis. Hsp27, a stress protein involved in actin polymerization, is localized in GEC, and its expression and activation are increased in the rat puromycin aminonucleoside model of focal segmental glomerulosclerosis, and in PHN. Hsp27 may preserve actin structure, and facilitates survival in the context of injury. Development of methods to induce expression/activation of stress proteins may eventually lead to novel approaches to the therapy of GEC injury and proteinuria.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".