Frequency and Magnitude of<i>Chlamydia trachomatis</i>Elementary Body– and Heat Shock Protein 60–Stimulated Interferon γ Responses in Peripheral Blood Mononuclear Cells and Endometrial Biopsy Samples from Women with High Exposure to Infection
Bibliographic record
Abstract
BACKGROUND: Cellular immune responses characterized by interferon gamma (IFN-gamma) production enhance clearance and confer protective immunity against Chlamydia trachomatis infection but have not been simultaneously investigated in systemic and mucosal compartments. METHODS: With use of the IFN-gamma enzyme-linked immunosorbent spot assay, we investigated immune responses to Chlamydia elementary body (EB) and 3 genotypically variant heat shock protein 60 (CHSP60) antigens using peripheral blood mononuclear cells and endometrial mononuclear cells obtained from a female sex worker cohort with high levels of exposure to C. trachomatis. RESULTS: Although we observed a marginally higher frequency of IFN-gamma responses to EB in peripheral blood mononuclear cells, compared with the frequency in endometrial mononuclear cells, the magnitudes of systemic and mucosal responses were similar except for preferential targeting of CHSP60 type 2 by endometrial mononuclear cells. Systemic and mucosal responses were highly correlated for EB and CHSP60 types 1 and 2 but not type 3. The frequency and magnitude of systemic responses specific for EB and CHSP60 type 1 were greater for CD4+ T cells than they were for CD8+ T cells, whereas preferential targeting by CHSP60 types 2 and 3 was undetectable. IFN-gamma response to CHSP60 type 1 by peripheral blood mononuclear cells was inversely correlated with systemic antibody titers to CHSP60 type 1. CONCLUSION: Systemic and mucosal IFN-gamma responses are correlated, with preferential systemic targeting of CD4+ T cells. Furthermore, CHSP60 type 1 response is largely CD4+ T cell mediated and follows discrete T helper 1 and T helper 2 pathways.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".