Evidence map›Paper›PMID 30696914›Full record

ArticleScientific reports2019

Effects of defined gut microbial ecosystem components on virulence determinants of Clostridioides difficile.

Christian Carlucci, Carys S Jones, Kaitlyn Oliphant, Sandi Yen, Michelle Daigneault, Charley Carriero, Avery Robinson, Elaine O Petrof, J Scott Weese, Emma Allen-Vercoe

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Host Immune Responses toTropical medicine and infectious disease · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Bacteriotherapy for inflammatory bowel disease.Inflammation and regeneration · 2021
    Review
  8. 1DCurrent protocols in chemical biology · 2020
    Article
  9. Article
  10. Flexible Cobamide Metabolism inJournal of bacteriology · 2020
    Article
  11. Antibacterial Activity ofFrontiers in cellular and infection microbiology · 2019
    Article
  12. Review
  13. EnterohemorrhagicGut microbes
    Article
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

10 authors at 2 institutions in 1 country.

Christian CarlucciDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada. ccarlucc@uoguelph.ca.ORCID 0000-0002-5444-4956
Carys S JonesDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Kaitlyn OliphantDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Sandi YenDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Michelle DaigneaultDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Charley CarrieroDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Avery RobinsonDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Elaine O PetrofDivision of Infectious Diseases/Gastrointestinal Diseases Research Unit, Department of Medicine, Queen's University, Kingston, Ontario, Canada.
J Scott WeeseDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Emma Allen-VercoeDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
University of Guelph · CAQueen's University · CA

Funding

Microbes that Matter: defining optimal formulations for Microbial Ecosystem TherapeuticsR21AI121575 · NIAID · QUEEN'S UNIVERSITY AT KINGSTON · PI ALLEN-VERCOE, EMMA, PETROF, ELAINE O · 2016 to 2017
$297k
NIAID NIH HHS R21 AI121575
6 · The paper itself

Abstract

Many cases of Clostridioides difficile infection (CDI) are poorly responsive to standard antibiotic treatment strategies, and often patients suffer from recurrent infections characterized by severe diarrhea. Our group previously reported the successful cure of two patients with recurrent CDI using a standardized stool-derived microbial ecosystem therapeutic (MET-1). Using an in vitro model of the distal gut to support bacterial communities, we characterized the metabolite profiles of two defined microbial ecosystems derived from healthy donor stool (DEC58, and a subset community, MET-1), as well as an ecosystem representative of a dysbiotic state (ciprofloxacin-treated DEC58). The growth and virulence determinants of two C. difficile strains were then assessed in response to components derived from the ecosystems. CD186 (ribotype 027) and CD973 (ribotype 078) growth was decreased upon treatment with DEC58 metabolites compared to ciprofloxacin-treated DEC58 metabolites. Furthermore, CD186 TcdA and TcdB secretion was increased following treatment with ciprofloxacin-treated DEC58 spent medium compared to DEC58 spent medium alone. The net metabolic output of C. difficile was also modulated in response to spent media from defined microbial ecosystems, although several metabolite levels were divergent across the two strains examined. Further investigation of these antagonistic properties will guide the development of microbiota-based therapeutics for CDI.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBacterial ToxinsCiprofloxacinClostridioides difficileClostridium InfectionsDiarrheaDysbiosisEnterotoxinsEubacterialesFecal Microbiota TransplantationFecesGastrointestinal MicrobiomeHumansMicrobiotaVirulenceAnti-Bacterial AgentsBacterial ProteinsBacterial ToxinsCiprofloxacinEnterotoxinsVirulence Factors

Identifiers

PMID30696914
PMCPMC6351598
OpenAlexW2912671352

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.