Are antibodies necessary for a Chlamydia T cell vaccine? (P4278)
Bibliographic record
Abstract
Abstract The murine Chlamydia muridarum model demonstrates that CD4 T cells are necessary and sufficient to resolve primary infection and that either CD4 T cells or antibody is necessary and sufficient to resolve reinfection. It remains uncertain whether a Chlamydia vaccine should accelerate clearence or prevent reinfection. Using immunoproteomics we have identified five Chlamydia outer membrane proteins (PmpG, PmpE, PmpF, PmpH and MOMP) that when individually used as protein vaccine accelerated clearance of Chlamydia infection. All 5 proteins are located in the chlamydial outer membrane complex (COMC). We tested PmpG and MOMP (major outer membrane protein that constitute more than 60% of COMC) as recombinant proteins or in native conformation as part of COMC preparations for their efficacy in accelerating clearance, providing significant protection and reducing tubal pathology. Our results show that COMC, PmpG and MOMP formulated with a Th1 polarizing adjuvant accelerated clearance but that only COMC exhibited near complete protection to challenge infection and reduced genital tract pathology. High titres of Chlamydia neutralizing antibodies were only detected following COMC immunization and not following PmpG or MOMP immunization. The superior efficacy of COMC as Chlamydia vaccine may be due to native conformation of outer membrane proteins that induce functional antibodies as well as CD4 T cell responses. These results suggest COMC may be a promising Chlamydia vaccine vehicle.
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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) | 0.005 | 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".