Evidence map›Paper›PMID 27481036›Full record

ArticleAlimentary pharmacology & therapeutics2016

Gut microbiome predictors of treatment response and recurrence in primary Clostridium difficile infection.

Sahil Khanna, Emmanuel Montassier, Bradley Schmidt, Robin Patel, Daniel Knights, Darrell S Pardi, Purna Kashyap

Open access · greenAbstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

76 citing papers in PubMed, 137 citations in OpenAlex.

  1. Trial
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  10. Insights into the Interaction BetweenJournal of personalized medicine · 2025
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  13. Gut Microbial and Metabolic Features Associated WithOpen forum infectious diseases · 2024
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  14. Review
  15. Pathogens (Basel, Switzerland) · 2024
    Review
  16. Observational
  17. Article
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16 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 2 countries.

Sahil Khanna *Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
Emmanuel Montassier *EA 3826 Thérapeutiques Cliniques et Expérimentales des Infections, Faculté de Médecine, Université de Nantes, Nantes, France.
Bradley SchmidtDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
Robin PatelDivision of Infectious Diseases, Mayo Clinic, Rochester, MN.
Daniel KnightsDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN.
Darrell S PardiDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
Purna KashyapDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USNantes Université · FRUniversity of Minnesota · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
MECHANISMS OF ALTERATION OF GASTROINTESTINAL MOTILITY BY GUT MICROBIOTAK08DK100638 · NIDDK · MAYO CLINIC ROCHESTER · PI KASHYAP, PURNA C · 2014 to 2017
$610k
NCATS NIH HHS UL1 TR000135NIDDK NIH HHS K08 DK100638NIDDK NIH HHS P30 DK084567
6 · The paper itself

Abstract

backgroundClostridium difficile infection (CDI) may not respond to initial therapy and frequently recurs, but predictors of response and recurrence are inconsistent. The impact of specific alterations in the gut microbiota determining treatment response and recurrence in patients with CDI is unknown.

aimTo assess microbial signatures as predictors of treatment response and recurrence in CDI.

methodsPre-treatment stool samples and clinical metadata including outcomes were collected prospectively from patients with their first CDI episode. Next generation 16s rRNA sequencing using MiSeq Illumina platform was performed and changes in microbial community structure were correlated with CDI outcomes.

resultsEighty-eight patients (median age 52.7 years, 60.2% female) were included. Treatment failure occurred in 12.5% and recurrence after response in 28.5%. Patients who responded to treatment had an increase in Ruminococcaceae, Rikenellaceae, Clostridiaceae, Bacteroides, Faecalibacterium and Rothia compared to nonresponders. A risk-index built from this panel of microbes differentiated responders (mean 0.07 ± 0.24) from nonresponders (0.52 ± 0.42; P = 0.0002). Receiver operating characteristic (ROC) curve demonstrated that risk-index was a strong predictor of treatment response with an area under the curve (AUC) of 0.85. Among clinical parameters tested, only proton pump inhibitor use predicted recurrent CDI (OR 3.75, 95% CI 1.27-11.1, P = 0.01). Patients with recurrent CDI had statistically significant increases in Veillonella, Enterobacteriaceae, Streptococci, Parabacteroides and Lachnospiraceae compared to patients without recurrence and a risk index was able to predict recurrence (AUC = 0.78).

conclusionGut microbiota signatures predict treatment response and recurrence potentially, allowing identification of patients with Clostridium difficile infection that may benefit from early institution of alternate therapies.

Indexed as

Gastrointestinal MicrobiomeAdultAgedClostridioides difficileClostridium InfectionsFemaleHumansMaleMiddle AgedProspective StudiesProton Pump InhibitorsRecurrenceRNA, Ribosomal, 16STreatment FailureProton Pump InhibitorsRNA, Ribosomal, 16S

Identifiers

PMID27481036
PMCPMC5012905
OpenAlexW2488532038

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.