Evidence map›Paper›PMID 29282051›Full record

ArticleBMC systems biology2017

Microbiota dysbiosis in inflammatory bowel diseases: in silico investigation of the oxygen hypothesis.

Michael A Henson, Poonam Phalak

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

49 citing papers in PubMed, 86 citations in OpenAlex.

  1. Trial
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  5. Gut Microbiome Recovery inDiseases (Basel, Switzerland) · 2026
    Article
  6. Review
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  8. Gut-heart axis: cardiac remodeling and heart failure in the context of inflammatory bowel disease and dysbiosis.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Review
  9. Article
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  16. Biology · 2024
    Review
  17. Article
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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

2 authors at 1 institution in 1 country.

Michael A HensonDepartment of Chemical Engineering and the Institute for Applied Life Sciences, University of Massachusetts, 140 Thatcher Way, Amherst, 01003, MA, USA. mhenson@umass.edu.
Poonam PhalakDepartment of Chemical Engineering and the Institute for Applied Life Sciences, University of Massachusetts, 140 Thatcher Way, Amherst, 01003, MA, USA.
University of Massachusetts Amherst · US

Funding

Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
Cellular Engineering Biotechnology Training ProgramT32GM108556 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HARDY, JEANNE ANN, PEYTON, SHELLY R. · 2015 to 2019
$766k
NIBIB NIH HHS U01 EB019416NIGMS NIH HHS T32 GM108556NIH HHS National Research Service Award T32 GM108556NIH HHS U01EB019416
6 · The paper itself

Abstract

backgroundInflammatory bowel diseases (IBD), which include ulcerative colitis and Crohn's disease, cause chronic inflammation of the digestive tract in approximately 1.6 million Americans. A signature of IBD is dysbiosis of the gut microbiota marked by a significant reduction of obligate anaerobes and a sharp increase in facultative anaerobes. Numerous experimental studies have shown that IBD is strongly correlated with a decrease of Faecalibacterium prausnitzii and an increase of Escherichia coli. One hypothesis is that chronic inflammation induces increased oxygen levels in the gut, which in turn causes an imbalance between obligate and facultative anaerobes.

resultsTo computationally investigate the oxygen hypothesis, we developed a multispecies biofilm model based on genome-scale metabolic reconstructions of F. prausnitzii, E. coli and the common gut anaerobe Bacteroides thetaiotaomicron. Application of low bulk oxygen concentrations at the biofilm boundary reproduced experimentally observed behavior characterized by a sharp decrease of F. prausnitzii and a large increase of E. coli, demonstrating that dysbiosis consistent with IBD disease progression could be qualitatively predicted solely based on metabolic differences between the species. A diet with balanced carbohydrate and protein content was predicted to represent a metabolic "sweet spot" that increased the oxygen range over which F. prausnitzii could remain competitive and IBD could be sublimated. Host-microbiota feedback incorporated via a simple linear feedback between the average F. prausnitzii concentration and the bulk oxygen concentration did not substantially change the range of oxygen concentrations where dysbiosis was predicted, but the transition from normal species abundances to severe dysbiosis was much more dramatic and occurred over a much longer timescale. Similar predictions were obtained with sustained antibiotic treatment replacing a sustained oxygen perturbation, demonstrating how IBD might progress over several years with few noticeable effects and then suddenly produce severe disease symptoms.

conclusionsThe multispecies biofilm metabolic model predicted that oxygen concentrations of ∼1 micromolar within the gut could cause microbiota dysbiosis consistent with those observed experimentally for inflammatory bowel diseases. Our model predictions could be tested directly through the development of an appropriate in vitro system of the three species community and testing of microbiota-host interactions in gnotobiotic mice.

Indexed as

Computer SimulationBacteroides thetaiotaomicronBiofilmsComputational BiologyDysbiosisEscherichia coliFaecalibacterium prausnitziiHumansInflammationInflammatory Bowel DiseasesMicrobiotaOxygenOxygenBiofilmsGut microbiotaInflammatory bowel diseaseMetabolic modeling

Identifiers

PMID29282051
PMCPMC5745886
OpenAlexW2775850469

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.