Gut microbiota differs between treatment outcomes early after fecal microbiota transplantation against recurrent Clostridioides difficile infection
In fecal microbiota transplantation (FMT) against recurrent Clostridioides difficile infection (CDI), clinical outcomes are usually determined after 8 weeks. We hypothesized that the intestinal microbiota changes earlier than this timepoint, and analyzed fecal samples obtained 1 week after treatment...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Gut Microbes |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19490976.2022.2084306 |
| Summary: | In fecal microbiota transplantation (FMT) against recurrent Clostridioides difficile infection (CDI), clinical outcomes are usually determined after 8 weeks. We hypothesized that the intestinal microbiota changes earlier than this timepoint, and analyzed fecal samples obtained 1 week after treatment from 64 patients diagnosed with recurrent CDI and included in a randomized clinical trial, where the infection was treated with either vancomycin-preceded FMT (N = 24), vancomycin (N = 16) or fidaxomicin (N = 24). In comparison with non-responders, patients with sustained resolution after FMT had increased microbial alpha diversity, enrichment of Ruminococcaceae and Lachnospiraceae, depletion of Enterobacteriaceae, more pronounced donor microbiota engraftment, and resolution of gut microbiota dysbiosis. We found that a constructed index, based on markers for the identified genera Escherichia and Blautia, successfully predicted clinical outcomes at Week 8, which exemplifies a way to utilize clinically feasible methods to predict treatment failure. Microbiota changes were restricted to patients who received FMT rather than antibiotic monotherapy, indicating that FMT confers treatment response in a different way than antibiotics. We suggest that early identification of microbial community structures after FMT is of clinical value to predict response to the treatment. |
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| ISSN: | 1949-0976 1949-0984 |