The effect of surface topography on early NFκB signaling in macrophages
Bibliographic record
Abstract
Surface topography modulates macrophage expression of pro-inflammatory cytokines through triggering of a number of different signaling pathways. In this article, we investigated the early activation of the NFκB pathway in RAW 264.7 macrophages in response to four surface topographies: mechanically polished (PO), coarse sand blasted (CB), acid etched (AE), and sandblasted and acid etched (SLA). We found that activation of the NFκB pathway was topography dependent. The PO and CB surfaces showed the highest level of activation, followed by the AE, then the SLA. Addition of suboptimal stimulatory concentrations of lipopolysaccharide (LPS) enhanced the response. Second, we determined that topography dependent cell signaling occurred in the absence of fetal bovine sera in the media. Third, we demonstrated that disruption of the lipid rafts by removal of cholesterol from cells in suspension using methyl β cyclodextrin (MβCD) affected signaling through the NFκB pathway and transcription of the pro-inflammatory cytokine IL-1 β, but did not affect cell adhesion, spreading or morphology. The number of macrophages adhered to the surfaces after 30 min followed the order PO, CB, AE, and SLA. In conclusion, our study suggests that one mechanism by which surface topography modulates activation of the NFκB pathway is through cholesterol-enriched raft-associated adhesive/signaling structures.
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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 | 0.015 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".