Complement Activates the c-Jun N-Terminal Kinase/Stress-Activated Protein Kinase in Glomerular Epithelial Cells
Bibliographic record
Abstract
In the rat passive Heymann nephritis model of membranous nephropathy, complement C5b-9 induces sublethal glomerular epithelial cell (GEC) injury and proteinuria. C5b-9 activates cytosolic phospholipase A(2) (cPLA(2)), and products of cPLA(2)-mediated phospholipid hydrolysis modulate GEC injury and proteinuria. In the present study, we demonstrate that C5b-9 activates c-Jun N-terminal kinase (JNK) in cultured rat GECs and that JNK activity is increased in glomeruli isolated from proteinuric rats with passive Heymann nephritis, as compared with control rats. Stable overexpression of cPLA(2) in GECs amplified complement-induced release of arachidonic acid (AA) and JNK activity, as compared with neo (control) GECs. Activation of JNK was not affected by indomethacin. Incubation of GECs with complement stimulated production of superoxide, and pretreatment with the antioxidants, N-acetylcysteine, glutathione, and alpha-tocopherol as well as with diphenylene iodonium, an inhibitor of the NADPH oxidase, inhibited complement-induced JNK activation. Conversely, H(2)O(2) activated JNK, whereas exogenously added AA stimulated both superoxide production and JNK activity. Overexpression of a dominant-inhibitory JNK mutant or treatment with diphenylene iodonium exacerbated complement-dependent GEC injury. Thus, activation of cPLA(2) and release of AA facilitate complement-induced JNK activation. AA may activate the NADPH oxidase, leading to production of reactive oxygen species, which in turn mediate the activation of JNK. The functional role of JNK activation is to limit or protect GECs from complement attack.
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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 | 0.000 | 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".