Evidence map›Paper›PMID 27180006›Full record

ReviewAnaerobe2016

Structural and functional changes within the gut microbiota and susceptibility to Clostridium difficile infection.

Caná L Ross, Jennifer K Spinler, Tor C Savidge

Abstract readReview
In one paragraph

Review in Anaerobe, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Trial
  2. Characterization of the Gut Microbiome of Patients withPathogens (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Fecal Metabolomics for the Diagnosis ofDiagnostics (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Gut Microbiota and New Microbiome-Targeted Drugs forAntibiotics (Basel, Switzerland) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Gut Microbiota Composition Associated withPathogens (Basel, Switzerland) · 2022
    Review
  14. Microbial metabolites: cause or consequence in gastrointestinal disease?American journal of physiology. Gastrointestinal and liver physiology · 2022
    Review
  15. Effects of Intravenous Antimicrobial Drugs on the Equine Fecal Microbiome.Animals : an open access journal from MDPI · 2022
    Article
  16. The impact of dietary fibers onFrontiers in cellular and infection microbiology · 2022
    Article
  17. Article
  18. Management and characteristics of patients suffering fromThe European journal of general practice · 2021
    Observational
  19. Targeting the gut to treat multiple sclerosis.The Journal of clinical investigation · 2021
    Review
  20. Gut Dysbiosis andFrontiers in microbiology · 2021
    Review
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

3 authors.

Caná L RossTexas Children's Microbiome Center, Department of Pathology, Texas Children's Hospital, 1102 Bates Ave., Houston, TX, USA; Department of Pathology & Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Jennifer K SpinlerTexas Children's Microbiome Center, Department of Pathology, Texas Children's Hospital, 1102 Bates Ave., Houston, TX, USA; Department of Pathology & Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA.
Tor C SavidgeTexas Children's Microbiome Center, Department of Pathology, Texas Children's Hospital, 1102 Bates Ave., Houston, TX, USA; Department of Pathology & Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA. Electronic address: tor.savidge@bcm.edu.

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
Research Training in Pediatrics GastroenterolgyT32DK007664 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI DOUGLAS G BURRIN · 1991 to 2026
$8.4M
Allosteric therapy of the Clostridium difficile toxinsR01AI100914 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI SAVIDGE, TOR C. · 2012 to 2016
$1.9M
Metabolome-Based Biomarkers and Neutraceuticals in Clostridium Difficile InfectionR21DK096323 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI SAVIDGE, TOR C. · 2014 to 2015
$433k
NIAID NIH HHS R01 AI100914NIDDK NIH HHS P30 DK056338NIDDK NIH HHS R21 DK096323NIDDK NIH HHS T32 DK007664
6 · The paper itself

Abstract

Alteration of the gut microbial community structure and function through antibiotic use increases susceptibility to colonization by Clostridium difficile and other enteric pathogens. However, the mechanisms that mediate colonization resistance remain elusive. As the leading definable cause of infectious diarrhea, toxigenic C. difficile represents a burden for patients and health care systems, underscoring the need for better diagnostics and treatment strategies. Next-generation sequence data has increased our understanding of how the gut microbiota is influenced by many factors including diet, disease, aging and drugs. However, a microbial-based biomarker differentiating C. difficile infection from antibiotic-associated diarrhea has not been identified. Metabolomics profiling, which is highly responsive to changes in physiological conditions, have shown promise in differentiating subtle disease phenotypes that exhibit a nearly identical microbiome community structure, suggesting metabolite-based biomarkers may be an ideal diagnostic for identifying patients with CDI. This review focuses on the current understanding of structural and functional changes to the gut microbiota during C. difficile infection obtained from studies assessing the microbiome and metabolome of samples from patients and murine models.

Indexed as

AnimalsClostridioides difficileDisease SusceptibilityEnterocolitis, PseudomembranousGastrointestinal MicrobiomeGastrointestinal TractHost-Pathogen InteractionsHumansMetabolomeCDIClostridium difficileMetabolomeMicrobiome

Identifiers

PMID27180006
PMCPMC5050078

What OpenQuestion holds

Textmetadata
LicenceTDM
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.