A fungal pathobiont promotes <i>Streptococcus agalactiae</i> vaginal persistence and pathogenesis through physical and metabolic interactions
Bibliographic record
Abstract
Summary Complex polymicrobial interactions at the host interface can shape the mucosal landscape and tip the scales between commensalism and pathogenicity. Here, we use a newly adapted murine model of vaginal colonization to show that the human pathobiont Candida albicans (Ca) supports Group B Streptococcus (GBS) fitness in the vaginal tract and ascension to the uterus. GBS frequently colonizes the vagina asymptomatically; however, during pregnancy, colonization can lead to adverse outcomes and neonatal invasive infection. Using human vaginal isolates of Ca and GBS, we demonstrate that physical interactions contribute to persistence. Triple RNA sequencing of Ca, GBS, and a physiologically relevant model of the human vaginal epithelium reveals that GBS induces arginine biosynthesis in Ca. This drives the expression of bacterial virulence factors and primes GBS for adhesion to the epithelium. We show that interkingdom nutrient exchange can increase GBS pathogenic potential and identify a new target for preventative therapies.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".