Evidence map›Paper›PMID 29669006›Full record

ArticleInflammatory bowel diseases2018

Gene Signature-Based Approach Identified MEK1/2 as a Potential Target Associated With Relapse After Anti-TNFα Treatment for Crohn's Disease.

Kanae Gamo, Yuumi Okuzono, Masato Yabuki, Takashi Ochi, Kyoko Sugimura, Yosuke Sato, Masaki Sagara, Hiroki Hayashi, Yoshimasa Ishimura, Yutaka Nishimoto and 5 more

Abstract read
In one paragraph

Article in Inflammatory bowel diseases, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Ulcerative colitis.Nature reviews. Disease primers · 2020
    Review
  5. 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

15 authors.

Kanae GamoImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Yuumi OkuzonoImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Masato YabukiImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Takashi OchiImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Kyoko SugimuraImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Yosuke SatoImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Masaki SagaraImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Hiroki HayashiImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Yoshimasa IshimuraDrug Safety Research Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Yutaka NishimotoPharmaceutical Technology Research and Development Laboratories, CMC Center, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Osaka, Japan.
Yusuke MurakawaPharmaceutical Technology Research and Development Laboratories, CMC Center, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Osaka, Japan.
Zenyu ShiokawaImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Masayuki GotohImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Takahiro MiyazakiImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.
Yukihiko EbisunoImmunology Unit, Takeda Pharmaceutical Company Limited, Fujisawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anti-tumor necrosis factor alpha (anti-TNFα) therapy has become the mainstay of therapy for Crohn's disease (CD). However, post-therapy, the recurrence rate is still high. The aim of this study was to dissect the molecular mechanism for recurrence of CD treated with anti-TNFα therapy and investigate novel therapeutic options that could induce complete remission. Methods: We re-analyzed publicly available mucosal gene expression data from CD patients pre- and post-infliximab therapy to extract the transcriptional differences between responders and healthy controls. We used a systematic computational approach based on identified differences to discover novel therapies and validated this prediction through in vitro and in vivo experimentation. Results: We identified a set of 3545 anti-TNFα therapy-untreatable genes (TUGs) that are significantly regulated in intestinal epithelial cells, which remain altered during remission. Pathway enrichment analysis of these genes clearly showed excessive growth state and suppressed terminal differentiation, whereas immune components were clearly resolved. Through in silico screening strategy, we observed that MEK inhibitors were predicted to revert expression of genes dysregulated in infliximab responders. In vitro transcriptome analysis demonstrated that selective MEK1/2 inhibitor significantly normalized reference genes from TUGs. In addition, in vitro functional study proved that MEK1/2 inhibitor facilitated intestinal epithelial differentiation. Finally, using murine colitis model, administration of MEK1/2 inhibitor significantly improved diarrhea and histological score. Conclusions: Our data revealed the abnormalities in anti-TNFα responders' CD colons that would be cause of recurrence of CD. Also, we provided evidence regarding MEK1/2 inhibitor as a potential treatment against CD to achieve sustainable remission.

Indexed as

AdalimumabAnimalsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedCaco-2 CellsColonCrohn DiseaseDisease Models, AnimalFemaleGene Expression RegulationHumansInfliximabMaleMAP Kinase Kinase 1MAP Kinase Kinase 2MiceAdalimumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedInfliximabMAP Kinase Kinase 1MAP Kinase Kinase 2Protein Kinase InhibitorsTumor Necrosis Factor-alpha

Identifiers

PMID29669006
PMCPMC6176896

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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.