Evidence map›Paper›PMID 38419010›Full record

ArticleGenome medicine2024

Long-term beneficial effect of faecal microbiota transplantation on colonisation of multidrug-resistant bacteria and resistome abundance in patients with recurrent Clostridioides difficile infection.

Sam Nooij, Karuna E W Vendrik, Romy D Zwittink, Quinten R Ducarmon, Josbert J Keller, Ed J Kuijper, Elisabeth M Terveer, Netherlands Donor Feces Bank study group

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
10.1field-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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  13. FMT alleviates multidrug-resistantFrontiers in microbiology · 2026
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  14. Antimicrobial Resistance: The Answers.British journal of biomedical science · 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

8 authors at 1 institution in 1 country.

Sam NooijNetherlands Donor Feces Bank, Leiden University Center of Infectious Diseases (LUCID) Medical Microbiology and Infection Prevention, Leiden University Medical Center, PO Box 9600, Postzone E4-P, Leiden, 2300RC, Netherlands. s.nooij@lumc.nl.ORCID 0000-0001-5892-5637
Karuna E W VendrikNetherlands Donor Feces Bank, Leiden University Center of Infectious Diseases (LUCID) Medical Microbiology and Infection Prevention, Leiden University Medical Center, PO Box 9600, Postzone E4-P, Leiden, 2300RC, Netherlands.
Romy D ZwittinkCenter for Microbiome Analyses and Therapeutics, LUCID Research, Leiden University Medical Center, Leiden, Netherlands.
Quinten R DucarmonCenter for Microbiome Analyses and Therapeutics, LUCID Research, Leiden University Medical Center, Leiden, Netherlands.
Josbert J KellerNetherlands Donor Feces Bank, Leiden University Center of Infectious Diseases (LUCID) Medical Microbiology and Infection Prevention, Leiden University Medical Center, PO Box 9600, Postzone E4-P, Leiden, 2300RC, Netherlands.
Ed J KuijperCenter for Microbiome Analyses and Therapeutics, LUCID Research, Leiden University Medical Center, Leiden, Netherlands.
Elisabeth M TerveerNetherlands Donor Feces Bank, Leiden University Center of Infectious Diseases (LUCID) Medical Microbiology and Infection Prevention, Leiden University Medical Center, PO Box 9600, Postzone E4-P, Leiden, 2300RC, Netherlands.
Netherlands Donor Feces Bank study group
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidrug-resistant (MDR) bacteria are a growing global threat, especially in healthcare facilities. Faecal microbiota transplantation (FMT) is an effective prevention strategy for recurrences of Clostridioides difficile infections and can also be useful for other microbiota-related diseases.

methodsWe study the effect of FMT in patients with multiple recurrent C. difficile infections on colonisation with MDR bacteria and antibiotic resistance genes (ARG) on the short (3 weeks) and long term (1-3 years), combining culture methods and faecal metagenomics.

resultsBased on MDR culture (n = 87 patients), we notice a decrease of 11.5% in the colonisation rate of MDR bacteria after FMT (20/87 before FMT = 23%, 10/87 3 weeks after FMT). Metagenomic sequencing of patient stool samples (n = 63) shows a reduction in relative abundances of ARGs in faeces, while the number of different resistance genes in patients remained higher compared to stools of their corresponding healthy donors (n = 11). Furthermore, plasmid predictions in metagenomic data indicate that patients harboured increased levels of resistance plasmids, which appear unaffected by FMT. In the long term (n = 22 patients), the recipients' resistomes are still donor-like, suggesting the effect of FMT may last for years.

conclusionsTaken together, we hypothesise that FMT restores the gut microbiota to a composition that is closer to the composition of healthy donors, and potential pathogens are either lost or decreased to very low abundances. This process, however, does not end in the days following FMT. It may take months for the gut microbiome to re-establish a balanced state. Even though a reservoir of resistance genes remains, a notable part of which on plasmids, FMT decreases the total load of resistance genes.

Indexed as

Clostridioides difficileClostridium InfectionsMicrobiotaFecal Microbiota TransplantationFecesHumansTreatment OutcomeAntibiotic resistanceC. diffFaecal microbiota transplantationMDRO

Identifiers

PMID38419010
PMCPMC10902993
OpenAlexW4392243131

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.