Opposing Effects Of IL-17/Th17 Response In Modifying Host Resistance Against Respiratory Chlamydia Infection Via Divergent Immune Mechanisms (44.22)
Bibliographic record
Abstract
Abstract The role of IL-17/Th17 response in host resistance against Chlamydia trachomatis (Ct) infection is investigated in C57BL/6 and C3H/HeN mice. We showed that C3H/HeN mice developed a skewed Th17/Th1 immune profile which led to a massive accumulation of neutrophils in the lung, impaired bacterial clearance, severe body weight loss and high mortality rate. In comparison, a relatively moderate IL-17/Th17 response was developed in C57BL/6 mice. By using recombinant adenovirus vector-mediated IL-17 transgene delivery approach, we have found that IL-17/Th17 response has both protective and detrimental roles in host resistance against Ct. On one hand, IL-17 protects host from Ct infection via stimulating pulmonary DC function for establishing a protective immunity. On the other hand, IL-17 stimulates neutrophils which counteract the protective effect of IL-17 via promoting intracellular growth of Ct. Of importance, the final outcome of two opposing effects manifests in a time-dependent and dose-dependent manner. Over expressing IL-17 at later stages of Ct infection in the airway could convert C57BL/6 mice into Ct-susceptible phenotype, indicating that an exacerbated Th17 response is responsible for an enhanced Ct susceptibility. This is the first report that a multi-facet role of IL-17 is documented in modifying host immune responses via divergent immune mechanisms in a single disease model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".