Vaccine-induced antibodies are sufficient to limit <i>Salmonella</i> infection in the absence of complement or macrophages
Bibliographic record
Abstract
Summary Antibodies to Salmonella Typhimurium (STm) can protect against infection. Understanding better how antibodies, complement, and leukocytes interplay can support vaccine development. We used an Outer Membrane Vesicle (OMV) vaccine against STm to study the in vivo function of anti-STm antibodies. Using intravital microscopy, we found that upon challenge, OMV-specific antibodies promote STm uptake by spleen and liver macrophages, with neutrophils rarely capturing the bacteria. Clodronate-liposome depletion of monocytic cells reveals that these cells help prevent antigen dissemination. After vaccination and challenge of C1q, C3, C4, and C5-deficient mice, all mice except C3-deficient were protected by OMV immunization. C3-deficient mice failed to mount significant germinal center and plasma cell responses; however, after the adoptive transfer of immune sera, they had lower bacterial burdens than controls. In vitro, we showed that antibodies enhance bacterial capture in macrophages. Thus, antibodies alone are sufficient to reduce bacterial burdens, but they cooperate with complement and macrophages to maximize their functions in vivo.
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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 | 0.001 |
| 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".