Heat-shock protein-90 prolongs septic neutrophil survival by protecting c-Src kinase and caspase-8 from proteasomal degradation
Bibliographic record
Abstract
The brief lifespan of the polymorphonuclear neutrophil (PMN) is regulated through its capacity to undergo apoptosis, a constitutive process that is actively inhibited during sepsis. We sought to define the cellular mechanisms through which Heat Shock Protein 90 (Hsp90) prolongs the survival of inflammatory PMN. We evaluated Hsp90 expression and interaction with client proteins in PMNs from patients with sepsis and in healthy control PMNs treated with LPS (1 μg/mL). Hsp90 activity was inhibited pharmacologically using radicicol (Rad; 1 μM), and Hsp90 transcription was silenced in septic PMN using siRNA. PMN apoptosis was evaluated by flow cytometry and expression of cleaved caspase-8 and -3. Septic PMNs showed reduced rates of apoptosis compared with control PMNs 21 h after isolation, and Hsp90-α mRNA was significantly more abundant in septic PMN. Caspase-8 coimmunoprecipitated with Hsp90, c-Src, and the p85 inhibitory subunit of PI3K in both septic and LPS-treated PMN. Inhibition of Hsp90 activity with Rad or its translation using siRNA restored basal rates of apoptosis in both septic and LPS-treated PMN. Radicicol further reduced c-Src protein abundance, increased the ubiquitination of caspase-8 and c-Src, and enhanced the cleavage of caspase-8 and -3. We conclude that Hsp90 prolongs the survival of activated neutrophils by stabilizing a molecular complex of c-Src kinase and caspase-8, preventing their ubiquitination, and resulting in inhibition of the catalytic activity of caspase-8 and -3.
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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".