Evidence map›Paper›PMID 32244928›Full record

ArticleMicroorganisms2020

The Interplay between Mucosal Microbiota Composition and Host Gene-Expression is Linked with Infliximab Response in Inflammatory Bowel Diseases.

Nikolas Dovrolis, George Michalopoulos, George E Theodoropoulos, Kostantinos Arvanitidis, George Kolios, Leonardo A Sechi, Aristidis G Eliopoulos, Maria Gazouli

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Gut microbiota in treatment-naïve active Crohn's disease compared to those in remission: Divergent trends in mucosal versus fecal bacterial community.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Gut Microbiota Affects Anti-TNF Responsiveness by Activating the NADAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Article
  12. Distinct gut microbiome features characterizeFrontiers in cellular and infection microbiology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

8 authors at 4 institutions in 2 countries.

Nikolas DovrolisLaboratory of Pharmacology, Faculty of Medicine, Democritus University of Thrace, Alexandroupolis 68100, Greece.ORCID 0000-0003-3832-9939
George MichalopoulosGastroenterology Department, Tzaneion General Hospital, Piraeus 18536, Greece.
George E Theodoropoulos1st Propaedeutic University Surgery Clinic, Hippocratio General Hospital, Medical School, National and Kapodistrian University of Athens, Athens 11527, Greece.
Kostantinos ArvanitidisLaboratory of Pharmacology, Faculty of Medicine, Democritus University of Thrace, Alexandroupolis 68100, Greece.
George KoliosLaboratory of Pharmacology, Faculty of Medicine, Democritus University of Thrace, Alexandroupolis 68100, Greece.ORCID 0000-0002-2066-4782
Leonardo A SechiDepartment of Biomedical Sciences, University of Sassari, Sassari 07100, Italy.ORCID 0000-0003-0566-2049
Aristidis G EliopoulosLaboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens 11527, Greece.
Maria GazouliLaboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens 11527, Greece.ORCID 0000-0002-3295-6811
Democritus University of Thrace · GRNational and Kapodistrian University of Athens · GRTzaneion General Hospital · GRUniversity of Sassari · IT

Funding

CSRD VA 1
6 · The paper itself

Abstract

Even though anti-TNF therapy significantly improves the rates of remission in inflammatory bowel disease (IBD) patients, there is a noticeable subgroup of patients who do not respond to treatment. Dysbiosis emerges as a key factor in IBD pathogenesis. The aim of the present study is to profile changes in the gut microbiome and transcriptome before and after administration of the anti-TNF agent Infliximab (IFX) and investigate their potential to predict patient response to IFX at baseline. Mucosal biopsy samples from 20 IBD patients and nine healthy controls (HC) were examined for differences in microbiota composition (16S rRNA gene sequencing) and mucosal gene expression (RT-qPCR) at baseline and upon completion of IFX treatment, accordingly, via an in silico pipeline. Significant differences in microbiota composition were found between the IBD and HC groups. Several bacterial genera, which were found only in IBD patients and not HC, had their populations dramatically reduced after anti-TNF treatment regardless of response. Alpha and beta diversity metrics showed significant differences between our study groups. Correlation analysis revealed six microbial genera associated with differential expression of inflammation-associated genes in IFX treatment responders at baseline. This study shows that IFX treatment has a notable impact on both the gut microbial composition and the inflamed tissue transcriptome in IBD patients. Importantly, our results identify enterotypes that correlate with transcriptome changes and help differentiate IFX responders versus non-responders at baseline, suggesting that, in combination, these signatures can be an effective tool to predict anti-TNF response.

Indexed as

anti-TNFbiomarkershost transcriptomeinflammatory bowel diseaseinfliximabmicrobiomemicrobiotaresponse to therapy

Identifiers

PMID32244928
PMCPMC7143962
OpenAlexW3012503729

What OpenQuestion holds

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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.