Novel <i>Chlamydia muridarum</i> T Cell Antigens Induce Protective Immunity against Lung and Genital Tract Infection in Murine Models
Bibliographic record
Abstract
Using a combination of affinity chromatography and tandem mass spectrometry, we recently identified 8 MHC class II (I-A(b)) -bound Chlamydia peptides eluted from dendritic cells (DCs) infected with Chlamydia muridarum. In this study we cloned and purified the source proteins that contained each of these peptides and determined that three of the eight peptide/protein Ags were immunodominant (PmpG-1, RplF, and PmpE/F-2) as identified by IFN-gamma ELISPOT assay using splenocytes from C57BL/6 mice recovered from C. muridarum infection. To evaluate whether the three immunodominant Chlamydia protein Ags were also able to protect mice against Chlamydia infection in vivo, we adoptively transferred LPS-matured DCs transfected ex vivo with the cationic liposome DOTAP (N-[1-(2,3-dioleoyloxy)propyl]-N,N,N-trimethylammonium methyl-sulfate) and individual PmpG-1(25-500aa), RplF, or PmpE/F-2 (25-575 aa) proteins. The results showed that the transfected Chlamydia proteins were efficiently delivered intracellularly into DCs. Mice vaccinated with DCs transfected with individual Chlamydia protein PmpG-1(25-500), RplF, or PmpE/F-2(25-575) exhibited significant resistance to challenge infection as indicated by reduction in the median Chlamydia inclusion forming units in both the lung and genital tract models. The major outer membrane protein was used as a reference Ag but conferred significant protection only in the genital tract model. Overall, vaccination with DCs transfected with PmpG-1(25-500) exhibited the greatest degree of protective immunity among the four Chlamydia Ags tested. This study demonstrates that T cell peptide Ags identified by immunoproteomics can be successfully exploited as T cell protein-based subunit vaccines and that PmpG-1(25-500) protein may be a suitable vaccine candidate for further evaluation.
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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) | 0.001 | 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".