Role of B Cells in Mucosal Vaccine–Induced Protective CD8+ T Cell Immunity against Pulmonary Tuberculosis
Bibliographic record
Abstract
Emerging evidence suggests a role of B cells in host defense against primary pulmonary tuberculosis (TB). However, the role of B cells in TB vaccine-induced protective T cell immunity still remains unknown. Using a viral-vectored model TB vaccine and a number of experimental approaches, we have investigated the role of B cells in respiratory mucosal vaccine-induced T cell responses and protection against pulmonary TB. We found that respiratory mucosal vaccination activated Ag-specific B cell responses. Whereas respiratory mucosal vaccination elicited Ag-specific T cell responses in the airway and lung interstitium of genetic B cell-deficient (Jh(-/-) knockout [KO]) mice, the levels of airway T cell responses were lower than in wild-type hosts, which were associated with suboptimal protection against pulmonary Mycobacterium tuberculosis challenge. However, mucosal vaccination induced T cell responses in the airway and lung interstitium and protection in B cell-depleted wild-type mice to a similar extent as in B cell-competent hosts. Furthermore, by using an adoptive cell transfer approach, reconstitution of B cells in vaccinated Jh(-/-) KO mice did not enhance anti-TB protection. Moreover, respiratory mucosal vaccine-activated T cells alone were able to enhance anti-TB protection in SCID mice, and the transfer of vaccine-primed B cells alongside T cells did not further enhance such protection. Alternatively, adoptively transferring vaccine-primed T cells from Jh(-/-) KO mice into SCID mice only provided suboptimal protection. These data together suggest that B cells play a minimal role, and highlight a central role by T cells, in respiratory mucosal vaccine-induced protective immunity against M. tuberculosis.
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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 | 0.001 | 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".