Neutrophil recognition of bacterial DNA and Toll-like receptor 9-dependent and -independent regulation of neutrophil function
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Neutrophils are essential for host defense and detect the presence of invading microorganisms through recognition of pathogen-associated molecular patterns. Among these receptors are Toll-like receptors (TLRs). Neutrophils express all known TLRs except for TLR3. TLR9, localized intracellularly, is to date the best characterized sensor for bacterial DNA, containing short sequences of unmethylated CpG motifs, though TLR9-independent intracellular DNA recognition mechanism(s) may also exist. Bacterial DNA has profound impact on neutrophil functions; it promotes neutrophil trafficking in vivo, induces chemokine expression, regulates expression of adhesion molecules, enhances phagocyte activity, and rescues neutrophils from constitutive apoptosis. TLR9 stimulation results in alterations in cellular redox balance, peroxynitrite formation, activation of the mitogen-activated protein kinase, PI3-kinase, and Jun N-terminal kinase pathways and/or nuclear factor kappaB and AP-1. These features identify an important role for bacterial DNA and TLR9 signaling in the regulation of neutrophil functions that are critical for optimal expression as well as for resolution of the inflammatory response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it