The Anti-adipogenic Effect of Macrophage-conditioned Medium Requires the IKKβ/NF-κB Pathway
Bibliographic record
Abstract
Macrophage-secreted factors inhibit adipogenesis, but the underlying mechanism is not well understood. Our objective was to determine if anti-adipogenic signaling pathways in human preadipocytes are activated by macrophage-conditioned medium (MacCM). Human abdominal subcutaneous stromal preadipocytes were treated with adipogenic inducers in either standard medium or medium conditioned by human THP-1 macrophages. THP-1-MacCM increased inhibitor of κB kinase β (IKKβ) phosphorylation, inhibitor of NF-κB α (IκBα) degradation, and NF-κB activity in human preadipocytes in a time-dependent manner. Concomitant treatment of human abdominal subcutaneous preadipocytes with sc-514, a selective inhibitor of IKKβ, prevented the inhibitory effect of THP-1-MacCM on lipid accumulation and expression of adipogenic markers. Our data indicate that activation of the preadipocyte IKKβ/NF-κB pathway is required for the anti-adipogenic effect of THP-1-MacCM on human adipogenesis.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".