TYPE III SECRETION PROTEINS AS A CHLAMYDIA VACCINE CANDIDATE
Bibliographic record
Abstract
Chlamydia is the most prevalent sexually transmitted bacterial infection in many developed countries, including Canada. Untreated infections in women can lead to a number of complications including pelvic inflammatory disease, tubal factor infertility, and ectopic pregnancy. Public health programs, including screening for at-risk individuals, partner identification, and antibiotic treatment, have had limited success in controlling the rising incidence of chlamydial infections over the past two decades. A chlamydia vaccine that prevents infection and its pathological sequelae is the next essential step to control this persistent public health problem. Chlamydia spp. utilize the highly conserved type III secretion (T3S) system as an essential virulence factor for infection and intracellular replication. Here, we evaluated a novel chimeric antigen (BD584) consisting of three T3S proteins from C. trachomatis (CopB, CopD, and CT584) as a potential chlamydia vaccine candidate. Intranasal immunization with BD584 elicited strong humoral responses that neutralized infection in vitro. Following intravaginal challenge with C. muridarum, immunized mice had a 95% reduction in chlamydial shedding and a 87.5% reduction in incidence of upper genital tract pathology compared to control mice. BD584 immunization generated strong cell-mediated and mucosal antibody responses in mice with different genetic backgrounds, and conferred protection against an intravaginal C. trachomatis infection in two out of three strains of mice. BD584 formulated with NE01, a mucosal adjuvant known to be safe and effective in humans, was shown to be highly immunogenic and efficacious against C. trachomatis infection in mice. These results suggest that BD584 may represent a promising antigen for use in a chlamydia vaccine.
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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) | 0.001 | 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".