Efficacy of newly isolated and highly potent bacteriophages in a mouse model of extensively drug-resistant Acinetobacter baumannii bacteraemia
Bibliographic record
Abstract
OBJECTIVES: Bacteraemia can be caused by Acinetobacter baumannii (A. baumannii), with clinical manifestations ranging from transient bacteraemia to septic shock. Extensively drug-resistant A. baumannii (XDRAB) strains producing the New Delhi metallo-ß-lactamase, which confers resistance to all ß-lactams including carbapenems, have emerged. Infected patients suffer increased mortality, morbidity and length of hospitalisation. The lack of new antimicrobials has led to a renewed interest in phage therapy, the so-called forgotten cure. Accordingly, we tested new lytic bacteriophages in a Galleria mellonella and a mouse model of XDRAB-induced bacteraemia. METHODS: CFU of A. baumannii FER. vB_AbaM_3054 and vB_AbaM_3090 were administrated i.p. alone or in combination 2h after bacterial challenge. Saline and imipenem were injected as controls. Larvae and mice survival were followed for 7 days and compared with Log-Rank (Mantel-Cox) and Gehan-Breslow-Wilcoxon tests. RESULTS: Phage-based treatments showed high efficacy in larvae (ca. 100% survival at 80h) and mice (ca. 100% survival at day 7) compared with the untreated controls (0% survival at 48h and 24h in larvae and mice, respectively). CONCLUSIONS: The present data reporting efficacy of phage therapy in a mouse model of bacteraemia support the development of phage-based drugs to manage infection due to multi-drug resistant A. baumannii and particularly XDRAB.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".