Evidence map›Paper›PMID 26482265›Full record

ArticleClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2016

The influence of non-steroidal anti-inflammatory drugs on the gut microbiome.

M A M Rogers, D M Aronoff

Open access · bronzeAbstract read
In one paragraph

Article in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 7 pooled it
7.4field-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

193 citing papers in PubMed, 7 syntheses or guidelines pooled it, 339 citations in OpenAlex.

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133 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

2 authors at 2 institutions in 1 country.

M A M RogersDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA. Electronic address: maryroge@umich.edu.
D M AronoffDepartment of Medicine and Department of Pathology, Microbiology, & Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA.
University of Michigan–Ann Arbor · USVanderbilt University · US

Funding

University of Michigan Center for Gastrointestinal ResearchP30DK034933 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OWYANG, CHUNG · 1986 to 2021
$22.5M
The Interplay Between Host Immunity and Clostridium difficile PathogenesisU19AI090871 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOUNG, VINCENT B · 2010 to 2014
$7.5M
Diversity and stability relationships in the murine microbiomeR01GM099514 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHLOSS, PATRICK DAVID · 2012 to 2015
$1.4M
Identifying population-level variation in cross-sectional and longitudinal HMP stR01HG005975 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHLOSS, PATRICK DAVID · 2010 to 2012
$1.1M
NHGRI NIH HHS R01 HG005975NHGRI NIH HHS R01HG005975NIAID NIH HHS U19 AI090871NIAID NIH HHS U19AI090871NIDDK NIH HHS P30 DK034933NIDDK NIH HHS P30DK034933NIGMS NIH HHS 1R01GM099514NIGMS NIH HHS R01 GM099514
6 · The paper itself

Abstract

The composition of the gut microbiome with the use of non-steroidal anti-inflammatory drugs (NSAIDs) has not been fully characterized. Drug use within the past 30 days was ascertained in 155 adults, and stool specimens were submitted for analysis. Area under the receiver operating characteristic curve (AUC) was calculated in logit models to distinguish the relative abundance of operational taxonomic units (OTUs) by medication class. The type of medication had a greater influence on the gut microbiome than the number of medications. NSAIDs were particularly associated with distinct microbial populations. Four OTUs (Prevotella species, Bacteroides species, family Ruminococcaceae, and Barnesiella species) discriminated aspirin users from those using no medication (AUC = 0.96; 95% CI 0.84-1.00). The microbiome profile of celecoxib users was similar to that of ibuprofen users, with both showing enrichment of Acidaminococcaceae and Enterobacteriaceae. Bacteria from families Propionibacteriaceae, Pseudomonadaceae, Puniceicoccaceae and Rikenellaceae were more abundant in ibuprofen users than in controls or naproxen users. Bacteroides species and Erysipelotrichaceae species discriminated individuals using NSAIDs plus proton-pump inhibitors from those using NSAIDs alone (AUC = 0.96; 95% CI 0.87-1.00). Bacteroides species and a bacterium of family Ruminococcaceae discriminated individuals using NSAIDs in combination with antidepressants and laxatives from those using NSAIDs alone (AUC = 0.98; 95% CI 0.93-1.00). In conclusion, bacteria in the gastrointestinal tract reflect the combinations of medications that people ingest. The bacterial composition of the gut varied with the type of NSAID ingested.

Indexed as

AdultAgedAged, 80 and overAnti-Inflammatory Agents, Non-SteroidalArea Under CurveBacteriaFecesFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedAnti-Inflammatory Agents, Non-SteroidalBacteriadruggastrointestinal tractmicrobiotanon-steroidal anti-inflammatory drugs

Identifiers

PMID26482265
PMCPMC4754147
OpenAlexW1943350258

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.