Evidence map›Paper›PMID 34931384›Full record

ArticleJournal of gastroenterology and hepatology2022

Hyperactive neutrophil chemotaxis contributes to anti-tumor necrosis factor-α treatment resistance in inflammatory bowel disease.

Tung On Yau, Jayakumar Vadakekolathu, Gemma Ann Foulds, Guodong Du, Benjamin Dickins, Christos Polytarchou, Sergio Rutella

Open access · hybridAbstract read
In one paragraph

Article in Journal of gastroenterology and hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Challenges in IBD Research 2024: Precision Medicine.Inflammatory bowel diseases · 2024
    Review
  7. Review
  8. 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.

Tung On YauJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0002-3283-0370
Jayakumar VadakekolathuJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0002-2671-4285
Gemma Ann FouldsJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0002-2053-7580
Guodong DuDepartment of Artificial Intelligence, Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-8277-387X
Benjamin DickinsJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0002-0866-6232
Christos PolytarchouJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0002-1948-7934
Sergio RutellaJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0003-1970-7375
Nottingham Trent University · GBXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimAnti-tumor necrosis factor-α (anti-TNF-α) agents have been used for inflammatory bowel disease; however, it has up to 30% nonresponse rate. Identifying molecular pathways and finding reliable diagnostic biomarkers for patient response to anti-TNF-α treatment are needed.

methodsPublicly available transcriptomic data from inflammatory bowel disease patients receiving anti-TNF-α therapy were systemically collected and integrated. In silico flow cytometry approaches and Metascape were applied to evaluate immune cell populations and to perform gene enrichment analysis, respectively. Genes identified within enrichment pathways validated in neutrophils were tracked in an anti-TNF-α-treated animal model (with lipopolysaccharide-induced inflammation). The receiver operating characteristic curve was applied to all genes to identify the best prediction biomarkers.

resultsA total of 449 samples were retrieved from control, baseline, and after primary anti-TNF-α therapy or placebo. No statistically significant differences were observed between anti-TNF-α treatment responders and nonresponders at baseline in immune microenvironment scores. Neutrophil, endothelial cell, and B-cell populations were higher in baseline nonresponders, and chemotaxis pathways may contribute to the treatment resistance. Genes related to chemotaxis pathways were significantly upregulated in lipopolysaccharide-induced neutrophils, but no statistically significant changes were observed in neutrophils treated with anti-TNF-α. Interleukin 13 receptor subunit alpha 2 (IL13RA2) is the best predictor (receiver operating characteristic curve: 80.7%, 95% confidence interval: 73.8-87.5%), with a sensitivity of 68.13% and specificity of 84.93%, and significantly higher in nonresponders compared with responders (P < 0.0001).

conclusionsHyperactive neutrophil chemotaxis influences responses to anti-TNF-α treatment, and IL13RA2 is a potential biomarker to predict anti-TNF-α treatment response.

Indexed as

ChemotaxisInflammatory Bowel DiseasesNeutrophilsTumor Necrosis Factor InhibitorsAnimalsDrug ResistanceHumansTumor Necrosis Factor-alphaTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsAnti-TNF-αChemotaxisDiagnostic biomarkersIL13RA2Inflammatory bowel diseases

Identifiers

PMID34931384
PMCPMC9303672
OpenAlexW4200436095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.