Evidence map›Paper›PMID 36109637›Full record

SynthesisNature medicine2022

Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases.

Gianluca Ianiro, Michal Punčochář, Nicolai Karcher, Serena Porcari, Federica Armanini, Francesco Asnicar, Francesco Beghini, Aitor Blanco-Míguez, Fabio Cumbo, Paolo Manghi and 13 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed, 5 pooled it
29.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

239 citing papers in PubMed, 5 syntheses or guidelines pooled it, 315 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Trial

179 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 4 institutions in 2 countries.

Gianluca Ianiro *Digestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy. gianluca.ianiro@unicatt.it.ORCID http://orcid.org/0000-0002-8318-0515
Michal Punčochář *Department CIBIO, University of Trento, Trento, Italy.
Nicolai Karcher *Department CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0001-7894-8182
Serena PorcariDigestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Federica ArmaniniDepartment CIBIO, University of Trento, Trento, Italy.
Francesco AsnicarDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0003-3732-1468
Francesco BeghiniDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0002-8105-9607
Aitor Blanco-MíguezDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0001-7386-5572
Fabio CumboDepartment CIBIO, University of Trento, Trento, Italy.
Paolo ManghiDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0003-0846-6529
Federica PintoDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0002-4539-4811
Luca MasucciMicrobiology Unit, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Gianluca QuarantaMicrobiology Unit, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Silvia De GiorgiDigestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0002-9498-800X
Giusi Desirè SciumèDigestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Stefano BibbòDigestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Federica Del ChiericoDepartment of Diagnostic and Laboratory Medicine, Unit of Parasitology and Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Lorenza PutignaniDepartment of Diagnostic and Laboratory Medicine, Unit of Parasitology and Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0003-0134-2830
Maurizio SanguinettiMicrobiology Unit, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0002-9780-7059
Antonio GasbarriniDigestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Mireia Valles-ColomerDepartment CIBIO, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0002-1988-6054
Giovanni CammarotaDigestive Disease Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0002-3626-6148
Nicola SegataDepartment CIBIO, University of Trento, Trento, Italy. nicola.segata@unitn.it.ORCID http://orcid.org/0000-0002-1583-5794
University of Trento · ITUniversità Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · ITBambino Gesù Children's Hospital · IT

Funding

Exploiting public metagenomic data to uncover cancer-microbiome relationshipsU01CA230551 · NCI · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI WALDRON, LEVI · 2019 to 2019
$464k
NCI NIH HHS U01 CA230551
6 · The paper itself

Abstract

Fecal microbiota transplantation (FMT) is highly effective against recurrent Clostridioides difficile infection and is considered a promising treatment for other microbiome-related disorders, but a comprehensive understanding of microbial engraftment dynamics is lacking, which prevents informed applications of this therapeutic approach. Here, we performed an integrated shotgun metagenomic systematic meta-analysis of new and publicly available stool microbiomes collected from 226 triads of donors, pre-FMT recipients and post-FMT recipients across eight different disease types. By leveraging improved metagenomic strain-profiling to infer strain sharing, we found that recipients with higher donor strain engraftment were more likely to experience clinical success after FMT (P = 0.017) when evaluated across studies. Considering all cohorts, increased engraftment was noted in individuals receiving FMT from multiple routes (for example, both via capsules and colonoscopy during the same treatment) as well as in antibiotic-treated recipients with infectious diseases compared with antibiotic-naïve patients with noncommunicable diseases. Bacteroidetes and Actinobacteria species (including Bifidobacteria) displayed higher engraftment than Firmicutes except for six under-characterized Firmicutes species. Cross-dataset machine learning predicted the presence or absence of species in the post-FMT recipient at 0.77 average AUROC in leave-one-dataset-out evaluation, and highlighted the relevance of microbial abundance, prevalence and taxonomy to infer post-FMT species presence. By exploring the dynamics of microbiome engraftment after FMT and their association with clinical variables, our study uncovered species-specific engraftment patterns and presented machine learning models able to predict donors that might optimize post-FMT specific microbiome characteristics for disease-targeted FMT protocols.

Indexed as

Clostridium InfectionsGastrointestinal MicrobiomeMicrobiotaAnti-Bacterial AgentsFecal Microbiota TransplantationFecesHumansTreatment OutcomeAnti-Bacterial Agents

Identifiers

PMID36109637
PMCPMC9499858
OpenAlexW4295925800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.