Intracellular phospholipase A<sub>2</sub> expression and location in human macrophages: Influence of synthetic material surface chemistry
Bibliographic record
Abstract
Phospholipase A(2) (PLA(2)) enzymes participate in a potent inflammatory pathway through the liberation of arachidonic acid upon hydrolysis of membrane glycerophospholipids. The presence of implanted polycarbonate-urethane (PCNU) materials, used in several medical applications, has the ability to influence inflammatory responses of human macrophages that are recruited to a tissue-material interface; however, the specific inflammatory pathways that are activated upon macrophage attachment to PCNU are largely unknown. Previous studies suggested the participation of PLA(2) pathways in material degradation with the use of chemical inhibitors, such as aristolochic acid (ARIST), however not accurately defining the specific PLA(2) enzymes involved. The current study aimed to establish specific groups of PLA(2) involved in the macrophage foreign body response to PCNU. ARIST was assessed for specific effects on secretory PLA(2) (sPLA(2)) protein expression and non-specific effects on key proteins, beta-actin and monocyte-specific esterase, implicated in the macrophage attack on PCNU materials. Macrophage attachment to PCNU materials induced increased intracellular expression of cytosolic PLA(2) (cPLA(2)), but not sPLA(2), relative to tissue culture polystyrene (TCPS) as detected by immunoblot analysis, demonstrating an early and delayed stimulation during the time course of increased cPLA(2) protein expression. Laser scanning confocal microscopy images indicated a change in location of cPLA(2) in macrophages adherent to PCNU surfaces compared to TCPS. This study has illustrated changes in macrophage cPLA(2) expression in response to cell-attachment to PCNU surfaces, demonstrating that the macrophage foreign body response to biomaterials induces a potent inflammatory pathway, which may lead to tissue damage near the site of material implantation.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".