Role of Cytokines in Chlamydia trachomatis Protective Immunity and Immunopathology
Bibliographic record
Abstract
Diseases caused by Chlamydia trachomatis infection and its sequelae represent major public health concerns worldwide. In order to rationally develop an effective vaccine to chlamydial infection, we need a better understanding of the mechanisms underlying the protective and pathological immune responses to chlamydial antigens. Recent studies in chlamydial immunobiology have demonstrated a close link between cytokine production patterns and the type of immune responses to this pathogen. In particular, IL-10 has been found to be associated with susceptibility to chlamydial infection and the typical pathological changes caused by the infection such as granuloma formation and fibrosis. Although Th1 type delayed hypersensitivity (DTH) is associated with protective immunity, the Th2 type DTH documented in interferon (IFN)-gamma gene knockout (KO) mice fails to control chlamydial infection. The Th2 type DTH is characterized by eosinophil and neutrophil infiltration and is associated with high levels of IL-4 and IL-5 production. The capability of dendritic cell (DC) in initiating T cell response to Chlamydia has been shown in studies using cultured DCs and a DC line. Further studies should be performed to elucidate the role played by DCs in natural chlamydial infection and the potential involvement of DC subsets in directing immune responses to chlamydial infection.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".