Staphylococcus aureus induces Gasdermin A-dependent keratinocyte pyroptosis
Bibliographic record
Abstract
Staphylococcus aureus is a common colonizer of human skin, which, despite its ubiquitous nature, has a high virulence potential. Tolerating microbes in health but responding effectively to pathogens presents a challenge to the barrier tissues. Here, we examined the interaction of S. aureus with skin keratinocytes to study this early step of pathogenesis and pathogen discrimination. During infection, the S. aureus protease Staphopain A (ScpA) cleaves inert Gasdermin A (GSDMA). This releases an active N-terminal fragment similar to that formed by host protease regulators of other gasdermins family members. The resulting cell death by pyroptosis allows keratinocytes to deprive invasive S. aureus of an intracellular niche. These data support a model of GSDMA as an autonomous sensor of pathogenicity, in contrast to the conventional regulation of other gasdermins, which have dedicated host cell pathways. Gasdermins abundant in other tissues may have similar functions in host defense for the threat assessment of a microbe. The cell death effector Gasdermin A is only known to be activated by Streptococcus pyogenes. This work discovers a mechanism for its activation by Staphylococcus aureus, and shows a conserved role in immunity against invasive skin pathogens
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 | 0.000 |
| 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".