Evidence map›Paper›PMID 34462337›Full record

ArticleGut2022

Residual homing of α4β7-expressing β1

Emily Becker, Mark Dedden, Christine Gall, Maximilian Wiendl, Arif Bülent Ekici, Anja Schulz-Kuhnt, Anna Schweda, Caroline Voskens, Ahmed Hegazy, Francesco Vitali and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Gut, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Journal of virology · 2025
    Article
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  11. Review
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Integrin-based therapy in IBD.Nature reviews. Gastroenterology & hepatology · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Emily BeckerDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Mark DeddenDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Christine GallInstitute for Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Maximilian WiendlDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Arif Bülent EkiciInstitute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Anja Schulz-KuhntDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Anna SchwedaDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Caroline VoskensDepartment of Dermatology, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Ahmed HegazyDepartment of Gastroenterology, Infectiology and Rheumatology, Charité Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Berlin, Germany.
Francesco VitaliDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Raja AtreyaDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Tanja Martina MüllerDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Imke AtreyaDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.
Markus F NeurathDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany.ORCID 0000-0003-4344-1474
Sebastian ZundlerDepartment of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universitat Erlangen-Nürnberg, Erlangen, Bayern, Germany sebastian.zundler@uk-erlangen.de.ORCID 0000-0003-0888-2784
Friedrich-Alexander-Universität Erlangen-Nürnberg · DELeibniz Association · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe anti-α4β7 integrin antibody vedolizumab is administered at a fixed dose for the treatment of IBDs. This leads to a wide range of serum concentrations in patients and previous studies had suggested that highest exposure levels are associated with suboptimal clinical response. We aimed to determine the mechanisms underlying these non-linear exposure-efficacy characteristics of vedolizumab.

designWe characterised over 500 samples from more than 300 subjects. We studied the binding of vedolizumab to T cells and investigated the functional consequences for dynamic adhesion, transmigration, gut homing and free binding sites in vivo. Employing single-cell RNA sequencing, we characterised α4β7 integrin-expressing T cell populations 'resistant' to vedolizumab and validated our findings in vitro and in samples from vedolizumab-treated patients with IBD. We also correlated our findings with a post-hoc analysis of the Gemini II and III studies.

resultsRegulatory T (T

conclusionCompletely blocking T

Indexed as

Gastrointestinal AgentsInflammatory Bowel DiseasesAntibodies, Monoclonal, HumanizedCarrier ProteinsGlycoproteinsHumansIntegrinsT-Lymphocytes, RegulatoryAntibodies, Monoclonal, HumanizedCarrier ProteinsGastrointestinal AgentsGlycoproteinsIntegrinsPI16 protein, humanvedolizumabadhesion moleculesIBDT lymphocytes

Identifiers

PMID34462337
OpenAlexW3196804847

What OpenQuestion holds

Textmetadata
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.