Role of calcium-independent phospholipase A<sub>2</sub>in complement-mediated glomerular epithelial cell injury
Bibliographic record
Abstract
In experimental membranous nephropathy, complement C5b-9-induced glomerular epithelial cell (GEC) injury leads to morphological changes in GEC and proteinuria, in association with phospholipase A(2) (PLA(2)) activation. The present study addresses the role of calcium-independent PLA(2) (iPLA(2)) in GEC injury. iPLA(2)beta short and iPLA(2)gamma were expressed in cultured rat GEC and normal rat glomeruli. To determine whether iPLA(2) is involved in complement-mediated arachidonic acid (AA) release, GEC were stably transfected with iPLA(2)gamma or iPLA(2)beta cDNAs (GEC-iPLA(2)gamma; GEC-iPLA(2)beta). Compared with control cells (GEC-Neo), GEC-iPLA(2)gamma and GEC-iPLA(2)beta demonstrated greater expression of iPLA(2) proteins and activities. Complement-mediated release of [(3)H]AA was augmented significantly in GEC-iPLA(2)gamma compared with GEC-Neo, and the augmented [(3)H]AA release was inhibited by the iPLA(2)-directed inhibitor bromoenol lactone (BEL). For comparison, overexpression of iPLA(2)gamma also amplified [(3)H]AA release after incubation of GEC with H(2)O(2), or chemical anoxia followed by reexposure to glucose (in vitro ischemia-reperfusion injury). In parallel with release of [(3)H]AA, complement-mediated production of prostaglandin E(2) was amplified in GEC-iPLA(2)gamma. Complement-mediated cytotoxicity was attenuated significantly in GEC-iPLA(2)gamma compared with GEC-Neo, and the cytoprotective effect of iPLA(2)gamma was reversed by BEL, and in part by indomethacin. Overexpression of iPLA(2)beta did not amplify complement-dependent [(3)H]AA release, but nonetheless attenuated complement-mediated cytotoxicity. Thus iPLA(2)gamma may be involved in complement-mediated release of AA. Expression of iPLA(2)gamma or iPLA(2)beta induces cytoprotection against complement-dependent GEC injury. Modulation of iPLA(2) activity may prove to be a novel approach to reducing GEC injury.
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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 | 0.001 | 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".