Evidence map›Paper›PMID 32620839›Full record

ArticleNature communications2020

An ecological framework to understand the efficacy of fecal microbiota transplantation.

Yandong Xiao, Marco Tulio Angulo, Songyang Lao, Scott T Weiss, Yang-Yu Liu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 10% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Safety and efficacy of fecal microbiota transplantation versus antibiotics for treating clostridioides difficile infection: systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Yandong XiaoCollege of System Engineering, National University of Defense Technology, 410073, Changsha, Hunan, China.
Marco Tulio AnguloInstitute of Mathematics, Universidad Nacional Autónoma de México, 76230, Juriquilla, Mexico.ORCID http://orcid.org/0000-0002-9802-8567
Songyang LaoCollege of System Engineering, National University of Defense Technology, 410073, Changsha, Hunan, China.
Scott T WeissChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Yang-Yu LiuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA. yyl@channing.harvard.edu.ORCID http://orcid.org/0000-0003-2728-4907
Brigham and Women's Hospital · USNational University of Defense Technology · CNSecretaría de Ciencia, Humanidades, Tecnología e Innovación · MX

Funding

Therapeutic Control of Aspirin-Exacerbated Respiratory DiseaseU19AI095219 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Nora Amanda Barrett · 2011 to 2026
$29.1M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Multi-omic approaches to mechanisms of vitamin D, environmental influences, and the microbiome on asthmaUH3OD023268 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI LITONJUA, AUGUSTO A, WEISS, SCOTT T · 2018 to 2022
$13.5M
Functional Redundancy of Human Microbiome and its Implication in Fecal Microbiota TransplantationR01AI141529 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LIU, YANG-YU · 2019 to 2023
$4.5M
Long-term health consequences of birth by cesarean sectionR01HD093761 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO · 2018 to 2022
$3.3M
NHLBI NIH HHS U01 HL089856NIAID NIH HHS R01 AI141529NIAID NIH HHS U19 AI095219NICHD NIH HHS R01 HD093761NIH HHS UH3 OD023268
6 · The paper itself

Abstract

Human gut microbiota plays critical roles in physiology and disease. Our understanding of ecological principles that govern the dynamics and resilience of this highly complex ecosystem remains rudimentary. This knowledge gap becomes more problematic as new approaches to modifying this ecosystem, such as fecal microbiota transplantation (FMT), are being developed as therapeutic interventions. Here we present an ecological framework to understand the efficacy of FMT in treating conditions associated with a disrupted gut microbiota, using the recurrent Clostridioides difficile infection as a prototype disease. This framework predicts several key factors that determine the efficacy of FMT. Moreover, it offers an efficient algorithm for the rational design of personalized probiotic cocktails to decolonize pathogens. We analyze data from both preclinical mouse experiments and a clinical trial of FMT to validate our theoretical framework. The presented results significantly improve our understanding of the ecological principles of FMT and have a positive translational impact on the rational design of general microbiota-based therapeutics.

Indexed as

AlgorithmsAnimalsClostridioides difficileClostridium InfectionsFecal Microbiota TransplantationFecesGastrointestinal MicrobiomeHumansMiceModels, TheoreticalRecurrenceTreatment Outcome

Identifiers

PMID32620839
PMCPMC7334230
OpenAlexW3039446139

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.