Splenic Ly6Ghigh mature and Ly6Gint immature neutrophils contribute to eradication of <i>S. pneumoniae</i>
Bibliographic record
Abstract
The spleen plays an integral protective role against encapsulated bacterial infections. Our understanding of the associated mechanisms is limited to thymus-independent (TI) antibody production by the marginal zone (MZ) B cells, leaving the contribution of other splenic compartments such as the red pulp (RP) largely unexplored despite asplenic patients succumbing to the infection in the first 24 h, suggesting important antibody-independent mechanisms. In this study, using time-lapse intravital imaging of the spleen, we identify a tropism for Streptococcus pneumoniae in this organ mediated by tissue-resident MZ and RP macrophages and a protective role for two distinct splenic neutrophil populations (Ly6Ghi and Ly6Gintermediate) residing in the splenic RP. Splenic mature neutrophils mediated pneumococcal clearance in the spleen by plucking bacteria off the surface of RP macrophages that caught the majority of bacteria in a complement-dependent manner. This neutrophil phagocytic capacity was further enhanced after TI antibody production. Resident immature neutrophils (Ly6Gintermediate) in the spleen undergo emergency proliferation and mobilization from their splenic niche after pneumococcal stimulation to increase the effector mature neutrophil pool. We demonstrate that splenic neutrophils together with two macrophage populations and MZ B cells regulate systemic S. pneumoniae clearance through complementary mechanisms.
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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".