Nonhematopoietic Cells Control the Outcome of Infection with<i>Listeria monocytogenes</i>in a Nucleotide Oligomerization Domain 1-Dependent Manner
Bibliographic record
Abstract
We analyzed the defensive role of the cytosolic innate recognition receptor nucleotide oligomerization domain 1 (NOD1) during infection with Listeria monocytogenes. Mice lacking NOD1 showed increased susceptibility to systemic intraperitoneal and intravenous infection with high or low doses of L. monocytogenes, as measured by the bacterial load and survival. NOD1 also controlled dissemination of L. monocytogenes into the brain. The increased susceptibility to reinfection of NOD1(-/-) mice was not associated with impaired triggering of listeria-specific T cells, and similar levels of costimulatory molecules or activation of dendritic cells was observed. Higher numbers of F480(+) Gr1(+) inflammatory monocytes and lower numbers of F480(-) Gr1(+) neutrophils were recruited into the peritoneum of infected WT mice than into the peritoneum of infected NOD1(-/-) mice. We determined that nonhematopoietic cells accounted for NOD1-mediated resistance to L. monocytogenes in bone marrow radiation chimeras. The levels of NOD1 mRNA in fibroblasts and bone marrow-derived macrophages (BMM) were upregulated after infection with L. monocytogenes or stimulation with different Toll-like receptor ligands. NOD1(-/-) BMM, astrocytes, and fibroblasts all showed enhanced intracellular growth of L monocytogenes compared to WT controls. Gamma interferon-mediated nitric oxide production and inhibition of L. monocytogenes growth were hampered in NOD1(-/-) BMM. Thus, NOD1 confers nonhematopoietic cell-mediated resistance to infection with L. monocytogenes and controls intracellular bacterial growth in different cell populations in vitro.
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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 | 0.001 | 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".