Evidence map›Paper›PMID 36109636›Full record

ArticleNature medicine2022

Drivers and determinants of strain dynamics following fecal microbiota transplantation.

Thomas S B Schmidt, Simone S Li, Oleksandr M Maistrenko, Wasiu Akanni, Luis Pedro Coelho, Sibasish Dolai, Anthony Fullam, Anna M Glazek, Rajna Hercog, Hilde Herrema and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 1 pooled it
19.3field-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

145 citing papers in PubMed, 1 synthesis or guideline pooled it, 203 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 9 institutions in 7 countries.

Thomas S B Schmidt *Structural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-8587-4177
Simone S Li *Structural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0073-3656
Oleksandr M MaistrenkoStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-1961-7548
Wasiu AkanniStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-2075-2387
Luis Pedro CoelhoStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Sibasish DolaiCentre for Digestive Diseases, Sydney, New South Wales, Australia.
Anthony FullamStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Anna M GlazekStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Rajna HercogGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-2587-9739
Hilde HerremaDepartment of Experimental Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Ferris JungGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.
Stefanie KandelsStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Askarbek OrakovStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6823-5269
Roman ThielemannStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-2582-6178
Moritz von StettenStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Thea Van RossumStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Vladimir BenesGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0352-2547
Thomas J BorodyCentre for Digestive Diseases, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-0519-4698
Willem M de VosLaboratory of Microbiology, Wageningen University, Wageningen, the Netherlands.ORCID http://orcid.org/0000-0002-0273-3166
Cyriel Y PonsioenDepartment of Gastroenterology & Hepatology, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Max NieuwdorpDepartment of Experimental Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Peer BorkStructural & Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. peer.bork@embl.org.ORCID http://orcid.org/0000-0002-2627-833X
European Molecular Biology Laboratory · DEAmsterdam University Medical Centers · NLEuropean Molecular Biology Laboratory · DECentre For Digestive Diseases · AUFudan University · CNRoyal Netherlands Institute for Sea Research · NLThe University of Queensland · AUUniversity of Helsinki · FIYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal microbiota transplantation (FMT) is a therapeutic intervention for inflammatory diseases of the gastrointestinal tract, but its clinical mode of action and subsequent microbiome dynamics remain poorly understood. Here we analyzed metagenomes from 316 FMTs, sampled pre and post intervention, for the treatment of ten different disease indications. We quantified strain-level dynamics of 1,089 microbial species, complemented by 47,548 newly constructed metagenome-assembled genomes. Donor strain colonization and recipient strain resilience were mostly independent of clinical outcomes, but accurately predictable using LASSO-regularized regression models that accounted for host, microbiome and procedural variables. Recipient factors and donor-recipient complementarity, encompassing entire microbial communities to individual strains, were the main determinants of strain population dynamics, providing insights into the underlying processes that shape the post-FMT gut microbiome. Applying an ecology-based framework to our findings indicated parameters that may inform the development of more effective, targeted microbiome therapies in the future, and suggested how patient stratification can be used to enhance donor microbiota colonization or the displacement of recipient microbes in clinical practice.

Indexed as

Clostridium InfectionsGastrointestinal MicrobiomeMicrobiotaFecal Microbiota TransplantationFecesGastrointestinal TractHumans

Identifiers

PMID36109636
PMCPMC9499871
OpenAlexW4295929883

What OpenQuestion holds

Textmetadata
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Registered trials

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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.