CpG motifs in bacterial DNA delay apoptosis of neutrophil granulocytes
Bibliographic record
Abstract
Human neutrophil granulocytes die rapidly, and their survival is contingent upon rescue from programmed cell death by signals from the environment. We now show that a novel signal for delaying neutrophil apoptosis is unmethylated CpG motifs prevalent in bacterial DNA (CpG- DNA). Human neutrophils express toll-like receptor 9 that recognizes these motifs. CpG-DNA, but not mammalian DNA or methylated bacterial DNA, markedly enhanced neutrophil viability by delaying spontaneous apoptosis. Endosomal maturation of CpG-DNA is prerequisite for these actions and was coupled to concurrent activation of the extracellular signal-regulated kinase (ERK) and phosphatidylinositol 3-kinase/Akt signaling pathways, leading to phosphorylation of BAD at Ser112 and Ser136, respectively, and to prevention of decreases in mitochondrial transmembrane potential, cytochrome c release and caspase-3 activation. Consistently, pharmacological inhibition of either ERK or phosphatidylinositol 3-kinase partially reversed these actions of CpG-DNA; however, they did not produce additive inhibition. Furthermore, intravenous injection of CpG-DNA (200 microg/kg) into rats evoked slight decreases in blood pressure and induced a modest leukocytosis, whereas it effectively suppressed neutrophil apoptosis as assayed ex vivo. Our results indicate that unmethylated CpG motifs in bacterial DNA promote neutrophil survival by suppressing the apoptotic machinery and may therefore contribute to prolongation and amplification of inflammation.
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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 | 0.000 | 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) | 0.000 | 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".