NOD2-Deficient Mice Have Impaired Resistance to <i>Mycobacterium tuberculosis</i> Infection through Defective Innate and Adaptive Immunity
Bibliographic record
Abstract
NOD2/CARD15 mediates innate immune responses to mycobacterial infection. However, its role in the regulation of adaptive immunity has remained unknown. In this study, we examined host defense, T cell responses, and tissue pathology in two models of pulmonary mycobacterial infection, using wild-type and Nod2-deficient mice. During the early phase of aerosol infection with Mycobacterium tuberculosis, Nod2(-/-) mice had similar bacterial counts but reduced inflammatory response on histopathology at 4 and 8 wk postchallenge compared with wild-type animals. These findings were confirmed upon intratracheal infection of mice with attenuated Mycobacterium bovis bacillus Calmette-Guérin. Analysis of the lungs 4 wk after bacillus Calmette-Guérin infection demonstrated that Nod2(-/-) mice had decreased production of type 1 cytokines and reduced recruitment of CD8(+) and CD4(+) T cells. Ag-specific T cell responses in both the spleens and thoracic lymph nodes were diminished in Nod2(-/-) mice, indicating impaired adaptive antimycobacterial immunity. The immune regulatory role of NOD2 was not restricted to the lung since Nod2 disruption also led to reduced type 1 T cell activation following i.m. bacillus Calmette-Guérin infection. To determine the importance of diminished innate and adaptive immunity, we measured bacterial burden 6 mo after aerosol infection with M. tuberculosis and followed a second infected group for assessment of survival. Nod2(-/-) mice had a higher bacterial burden in the lungs 6 mo after infection and succumbed sooner than did wild-type controls. Taken together, these data indicate that NOD2 mediates resistance to mycobacterial infection via both innate and adaptive immunity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".