PI3K/Akt regulates survival during differentiation of human macrophages by maintaining NF-κB-dependent expression of antiapoptotic Bcl-xL
Bibliographic record
Abstract
Resistance to apoptosis is an important characteristic that human macrophages acquire during differentiation from monocytes. However, the intracellular mechanisms that mediate the development of resistance are not well understood. We have used M-CSF-stimulated primary human monocytes and PMA-treated THP1 cells to study apoptosis resistance during differentiation of human macrophages. Our results indicate that PI3K/Akt distinctively regulates survival of macrophages during and after differentiation. More specifically, a signaling pathway consisting of PI3K/Akt-NF-κB-Bcl-xL regulates cell survival during the differentiation process. PI3K/Akt-mediated activation of NF-κB plays a key role in survival of differentiating macrophages by specifically sustaining antiapoptotic Bcl-xL expression. With the use of pharmacological inhibitors and siRNA for Akt and Bcl-xL, we show that in the absence of Akt-dependent Bcl-xL expression during differentiation, cells undergo caspase-mediated apoptosis. In contrast, in differentiated macrophages, Bcl-xL expression is independent of PI3K/Akt activation. Taken together, these results suggest that survival of macrophages is distinctly regulated during and after differentiation. Our results also suggest new, potential therapeutic targets to modulate differentiation and survival of this cell type.
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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 | 0.000 |
| 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".