Vaginal candida infection is associated with host molecular signatures of neutrophil activation in the adjacent ectocervical mucosa in Kenyan sex workers
Bibliographic record
Abstract
Abstract Problem Overgrowth of candida species in the human vaginal mucosa causes inflammation, which could render the mucosal barrier more susceptible to HIV infection. Here, we investigated whether this condition also affects the ectocervical mucosa, a potential site of HIV entry, in women at high risk of HIV infection. Method of study Retrospective medical data and ectocervical tissue samples were obtained from a cohort of Kenyan sex workers. Among 108 women, seven had signs of vaginal candida infection by wet smear microscopy and/or the presence of characteristic discharge. Women lacking these two criteria served as controls. Host transcriptomic profiling and quantitative in situ image analysis of epithelial barrier markers and CD4 + cell distribution were performed. Results The candida group had 162 differentially expressed genes out of 15 435 genes as compared with the control group. Among these 162 genes, 147 were upregulated and 15 were downregulated. Gene expression pathway analysis indicated associations with an upregulated inflammatory response, defined primarily by markers of neutrophil activation. Transcription factor analysis revealed upregulation of pathways related to RELA/REL/NFKB1 , JUN and STAT1 in the candida group. In situ image analysis of ectocervical tissue samples showed no differences between groups in terms of epithelial height, expression of epithelial junction proteins (E‐cadherin, claudin‐1, zonula occludens 1, and desmoglein‐1), or epithelial CD4 + cell distribution. Conclusions Vaginal candida infection was associated with inflammation and neutrophil infiltration, but not with severe epithelial disruption or CD4+ cell infiltration, in the ectocervical mucosa.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".