Evidence map›Paper›PMID 33110112›Full record

ArticleScientific reports2020

The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome.

Negin Kazemian, Milad Ramezankhani, Aarushi Sehgal, Faizan Muhammad Khalid, Amir Hossein Zeinali Kalkhoran, Apurva Narayan, Gane Ka-Shu Wong, Dina Kao, Sepideh Pakpour

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
0.7field-weighted citation impact, top 17% 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

37 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  10. Artificial intelligence in inflammatory bowel disease.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2025
    Review
  11. The Gut Mycobiome for Precision Medicine.Journal of fungi (Basel, Switzerland) · 2025
    Review
  12. The evolving landscape of live biotherapeutics in the treatment of Clostridioides difficile infection.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2025
    Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Microbes as medicine.Annals of the New York Academy of Sciences · 2024
    Review
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Negin KazemianSchool of Engineering, University of British Columbia, Kelowna, BC, Canada.
Milad RamezankhaniSchool of Engineering, University of British Columbia, Kelowna, BC, Canada.
Aarushi SehgalDepartment of Computer Science and Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India.
Faizan Muhammad KhalidSchool of Engineering, University of British Columbia, Kelowna, BC, Canada.
Amir Hossein Zeinali KalkhoranDepartment of Computer Science, University of British Columbia, Kelowna, BC, Canada.
Apurva NarayanDepartment of Computer Science, University of British Columbia, Kelowna, BC, Canada.
Gane Ka-Shu WongDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Dina KaoDivision of Gastroenterology, Department of Medicine, University of Alberta, Edmonton, AB, Canada. dkao@ualberta.ca.
Sepideh PakpourSchool of Engineering, University of British Columbia, Kelowna, BC, Canada. sepideh.pakpour@ubc.ca.
University of British Columbia · CABGI Group (China) · CNNational Institute of Technology Hamirpur · INUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fundamental restoration ecology and community ecology theories can help us better understand the underlying mechanisms of fecal microbiota transplantation (FMT) and to better design future microbial therapeutics for recurrent Clostridioides difficile infections (rCDI) and other dysbiosis-related conditions. In this study, stool samples were collected from donors and rCDI patients one week prior to FMT (pre-FMT), as well as from patients one week following FMT (post-FMT). Using metagenomic sequencing and machine learning, our results suggested that FMT outcome is not only dependent on the ecological structure of the recipients, but also the interactions between the donor and recipient microbiomes at the taxonomical and functional levels. We observed that the presence of specific bacteria in donors (Clostridioides spp., Desulfovibrio spp., Odoribacter spp. and Oscillibacter spp.) and the absence of fungi (Yarrowia spp.) and bacteria (Wigglesworthia spp.) in recipients prior to FMT could predict FMT success. Our results also suggested a series of interlocked mechanisms for FMT success, including the repair of the disturbed gut ecosystem by transient colonization of nexus species followed by secondary succession of bile acid metabolizers, sporulators, and short chain fatty acid producers.

Indexed as

Fecal Microbiota TransplantationGastrointestinal MicrobiomeAdultBacteroidetesClostridioidesClostridium InfectionsDesulfovibrioEubacterialesFecesFemaleHumansMachine LearningMaleMetagenomicsTissue DonorsTreatment Outcome

Identifiers

PMID33110112
PMCPMC7591866
OpenAlexW3097104812

What OpenQuestion holds

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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.