Oral Capsulized Fecal Microbiota Transplantation for Eradication of Carbapenemase-producing <i>Enterobacteriaceae</i> Colonization With a Metagenomic Perspective
Bibliographic record
Abstract
BACKGROUND: Carbapenemase-producing Enterobacteriaceae (CPE) infections lead to considerable morbidity and mortality. We assessed the potential of fecal microbiota transplantation (FMT) to eradicate CPE carriage and aimed to explain failure or success through microbiome analyses. METHODS: In this prospective cohort study, all consenting eligible CPE carriers received oral capsulized FMT for 2 days. Primary outcome was CPE eradication at 1 month, defined by 3 consecutive negative rectal swabs, the last also negative for carbapenemase gene by polymerase chain reaction. Comprehensive metagenomics analysis of the intestinal microbiome of donors and recipients before and after FMT was performed. RESULTS: Fifteen CPE carriers received FMT, 13 of whom completed 2 days of treatment. CPE eradication at 1 month was successful in 9/15 and 9/13, respectively. Bacterial communities showed significant changes in both beta and alpha diversity metrics among participants who achieved CPE eradication that were not observed among failures. Post-FMT samples' beta-diversity clustered according to the treatment outcome, both in taxonomy and in function. We observed a significant decrease in beta diversity in participants who received post-FMT antibiotics. Enterobacteriaceae abundance decreased in post-FMT samples of the responders but increased among failures. Functionally, a clear demarcation between responders (who were similar to the donors) and failures was shown, driven by antimicrobial resistance genes. CONCLUSIONS: Our study provides the biological explanation for the effect of FMT against CPE carriage. Decolonization of CPE by FMT is likely mediated by compositional and functional shifts in the microbiome. Thus, FMT might be an efficient strategy for sustained CPE eradication. CLINICAL TRIALS REGISTRATION: NCT03167398.
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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 | 0.001 |
| 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 | 0.001 | 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".