Evidence map›Paper›PMID 32776006›Full record

ArticleCrohn's & colitis 3602020

Functional Molecular Network Analysis Enables Prediction of Response to Vedolizumab Therapy in Anti-TNF Refractory IBD Patients.

Matthias Breidert, Pierre Eftekhari, François Louis, Claudia Rotoiu, Timo Rath, Markus F Neurath, Raja Atreya

Open access · goldAbstract read
In one paragraph

Article in Crohn's & colitis 360, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Vitamin D Levels May Predict Response to Vedolizumab.Journal of Crohn's & colitis · 2021
    Article
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 2 institutions in 2 countries.

Matthias BreidertDepartment of Gastroenterology and Hepatology, City Hospital Waid and Triemli, Zürich, Switzerland.
Pierre EftekhariInoviem Scientific, BIOPARC 3, Illkirch-Graffenstaden, France.
François LouisInoviem Scientific, BIOPARC 3, Illkirch-Graffenstaden, France.
Claudia RotoiuDepartment of Gastroenterology and Hepatology, City Hospital Waid and Triemli, Zürich, Switzerland.
Timo RathDepartment of Medicine I, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Markus F NeurathDepartment of Medicine I, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Raja AtreyaDepartment of Medicine I, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DETriemli Hospital · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe applied for the first time 2 label-free technologies, physiological intermolecular modulation spectroscopy (PIMS) and nematic protein organization technic (NPOT) in anti-tumor necrosis factor (TNF) refractory inflammatory bowel disease (IBD) patients to identify clinical responders to vedolizumab therapy and elucidate their underlying functional molecular network.

methodsPIMS analysis was performed in peripheral blood taken prior to the first vedolizumab application in 20 IBD patients (Crohn disease n = 13; ulcerative colitis n = 7) refractory to at least 1 previous anti-TNF agent therapy. Peripheral blood taken from clinical responders and nonresponders at week 14 of vedolizumab therapy were additionally subjected to NPOT analysis. Response to therapy was assessed by respective clinical disease activity scores (partial Mayo Score and Harvey-Bradshaw Index).

resultsClinical response to vedolizumab treatment was observed in 7 of 13 Crohn disease and 4 of 7 ulcerative colitis patients at week 14. Response to therapy was accurately predicted by PIMS blood analysis in 100% of ulcerative colitis and 77% of Crohn disease patients. Overall prediction of clinical response with PIMS blood analysis was achieved with a 89% positive predictive value and a 82% negative predictive value. NPOT analysis revealed the heightened expression of the proteins ITGB7, ITGAV, ITG3, PF4, and ASGH in the peripheral blood of vedolizumab responders compared to nonresponders.

conclusionsPIMS analysis of the blood of anti-TNF refractory IBD patients was able to stratify responders to vedolizumab therapy with high accuracy and specificity. NPOT technology could decipher underling molecular networks in the blood of responders, enabling subsequent personalized therapeutic approaches in IBD.

Indexed as

inflammatory bowel diseasenematic protein organization technic (NPOT)physiological intermolecular modification spectroscopy (PIMS)responder interactorsvedolizumab

Identifiers

PMID32776006
PMCPMC7397736
OpenAlexW3027443135

What OpenQuestion holds

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Registered trials

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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.