Intestinal<i>Enterococcus faecium</i>Colonization Improves Host Defense during Polymicrobial Peritonitis
Bibliographic record
Abstract
BACKGROUND: Vancomycin-resistant (VR) Enterococcus faecium is increasingly found to colonize and infect hospitalized patients. Enterococci are frequently isolated from polymicrobial infections originating from the intestines. The impact of VR E. faecium on these infections and vice versa is not clear. METHODS: Mice were intestinally colonized with VR E. faecium during oral vancomycin treatment; control mice received oral vancomycin only. Fourteen days later, cecal ligation and puncture (CLP) was performed in all mice to induce polymicrobial peritonitis in the presence or absence of VR E. faecium colonization. RESULTS: VR E. faecium colonization per se was not associated with systemic dissemination of VR E. faecium. CLP resulted in systemic VR E. faecium infection in all VR E. faecium-colonized mice, with high VR E. faecium loads in peritoneal lavage fluid, blood, liver, and lungs. Forty-eight hours after CLP, mice infected with VR E. faecium had significantly lower bacterial loads in all organs tested than mice not infected with VR E. faecium. Additionally, lower inflammatory parameters were measured in VR E. faecium-infected mice. CLP induced transient liver and kidney damage, with a faster recovery in VR E. faecium-colonized mice. CONCLUSIONS: VR E. faecium infection, originating from a natural source (the intestinal tract), does not worsen the outcome of CLP-induced polymicrobial peritonitis and sepsis but rather facilitates bacterial clearance and attenuates host inflammatory responses.
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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 | 0.001 |
| 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".