The <i>Achromobacter</i> Type 3 secretion system drives pyroptosis and immunopathology via independent activation of NLRC4 and NLRP3 inflammasomes
Bibliographic record
Abstract
Abstract Achromobacter species are newly recognized opportunistic, pro-inflammatory Gram-negative pathogens in immunocompromised individuals, but how they interact with the innate immune system to drive inflammation is poorly understood. We created sctV (Type 3 Secretion System baseplate) mutants in three Achromobacter clinical isolates from two species and showed that all three required the T3SS to induce cell death in human macrophages. Mutating other critical T3SS components also abolished cell death, which was restored by genetic complementation. Cell death of Achromobacter -infected macrophages was contact-dependent, enhanced by bacterial internalisation, and caused by inflammasome-dependent pyroptosis (typified by Gasdermin-D cleavage and IL-1β secretion). Macrophages deficient in the inflammasome sensors NLRC4 or NLRP3 underwent pyroptosis upon bacterial internalization but those deficient in both NLRC4 and NLRP3 did not, suggesting either sensor can mediate pyroptosis induction in a T3SS-dependent manner. Detailed analysis of the intracellular trafficking of one isolate indicated that the intracellular bacteria reside in an acidic LAMP-1/dextran-positive membrane compartment. Using an intranasal mouse infection model, we observed that Achromobacter damages lung structure and causes severe illness, contingent on a functional T3SS. Together, we demonstrate that Achromobacter species can survive phagocytosis by macrophages and promote macrophage cell death and inflammation by redundant mechanisms of pyroptosis induction.
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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 | 0.000 | 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) | 0.000 | 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".