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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".