Elucidating the <i>Staphylococcus aureus</i> TSST-1 regulatory network as a response to vaginal pH
Bibliographic record
Abstract
ABSTRACT Menstrual toxic shock syndrome (mTSS) is a life-threatening disease caused by the Staphylococcus aureus superantigen TSST-1. At menstruation, the typical acidic vaginal environment rises to near neutral pH, which allows for optimal TSST-1 production. However, the regulation network which alters toxin production in response to pH is largely unknown, despite the importance of this cue in the vaginal environment. To mimic the vaginal environment, we used Vaginally Defined Medium to assess TSST-1 promoter ( tst ) activity in the mTSS strain S. aureus MN8 and discovered a significant upregulation of tst expression occurring at pH 4.5 in low glucose environment, referred to as the ‘acidic virulence surge’. This increase was also observed in all the regulatory mutant backgrounds tested, including in the absence of saeS , which has previously been thought to be required for TSST-1 production. Recent studies in non-mTSS S. aureus strains have identified GraXRS as a pH sensor, in addition to its function in cationic antimicrobial peptide sensing. We therefore hypothesized that GraXRS alters TSST-1 expression at low pH. Deletion of the sensor-kinase graS resulted in the loss of TSST-1 surge at pH 4.5, indicating that GraXRS is required for the acidic virulence surge. We also found expression from the SaeRS P1 and SarA promoters to be significantly attenuated in the Δ graS background. At low pH, the absence of GraS resulted in the least amount of T cell activation from S. aureus supernatants when compared to other regulatory mutants, suggesting that GraXRS is the dominant activator at pH 4.5. Finally, we developed an in vivo murine model to measure tst expression using luciferase expression. Our results demonstrate a complex sequence of events that occur in response to changes in pH and further suggests that GraXRS is the main activator of TSST-1 at low pH in S. aureus . AUTHOR SUMMARY Menstrual toxic shock syndrome is a life-threatening hyperinflammatory disease, resulting from the production of a toxin named TSST-1 by Staphylococcus aureus . Environmental cues within the vagina are sensed by S. aureus , resulting in changes in the production of TSST-1. A key environmental cue present within the vagina is acidic pH, which has previously been thought to limit TSST-1 production. Here, we use a luminescent reporter assay to determine how pH affects expression of TSST-1 in a vaginal mimicking medium. We found that expression of the toxin drastically increases at a pH of 4.5, and key TSST-1 regulators are not responsible for this phenotype. We found that deletion of graS abolishes the toxin’s production at pH 4.5 and limits the activation of primary T cells. We also established an in vivo model of murine vaginal colonization to examine the expression of TSST-1. Our results highlight the ability of TSST-1 to be produced outside of conventional menstrual conditions and provides insight on the necessity of modeling the environment when studying bacterial virulence factors.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".