Evidence map›Paper›PMID 27885812›Full record

ArticleThe FEBS journal2017

A whole animal chemical screen approach to identify modifiers of intestinal neutrophilic inflammation.

Stefan H Oehlers, Maria Vega Flores, Christopher J Hall, Liuyang Wang, Dennis C Ko, Kathryn E Crosier, Philip S Crosier

Open access · greenAbstract readEditorial
In one paragraph

Article in The FEBS journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

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

  1. Pooled it
  2. Article
  3. International journal of molecular sciences · 2024
    Article
  4. Review
  5. Wear and tear of the intestinal visceral musculature by intrinsic and extrinsic factors.Developmental dynamics : an official publication of the American Association of Anatomists · 2022
    Article
  6. An assessment of vaping-induced inflammation and toxicity: A feasibility study using a 2-stage zebrafish and mouse platform.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Targeting the Dopaminergic System in Autoimmunity.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2020
    Review
  16. Review
  17. Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Stefan H OehlersDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, New Zealand.ORCID 0000-0003-0260-672X
Maria Vega FloresDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, New Zealand.
Christopher J HallDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, New Zealand.
Liuyang WangDepartment of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA.
Dennis C KoDepartment of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA.
Kathryn E CrosierDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, New Zealand.
Philip S CrosierDepartment of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, New Zealand.
University of Auckland · NZDuke University · USThe University of Sydney · AU

Funding

Serologic Biomarkers of Human Sexually Transmitted Infection and DiseaseU19AI084044 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI TETTELIN, HERVE S · 2009 to 2018
$22.8M
Functional genomics of human variation to Salmonella invasionK22AI093595 · NIAID · DUKE UNIVERSITY · PI KO, DENNIS CHUN-YONE · 2012 to 2013
$262k
Medical Research Council MR/M004864/1NIAID NIH HHS K22 AI093595NIAID NIH HHS U19 AI084044
6 · The paper itself

Abstract

By performing two high-content small molecule screens on dextran sodium sulfate- and trinitrobenzene sulfonic acid-induced zebrafish enterocolitis models of inflammatory bowel disease, we have identified novel anti-inflammatory drugs from the John Hopkins Clinical Compound Library that suppress neutrophilic inflammation. Live imaging of neutrophil distribution was used to assess the level of acute inflammation and concurrently screen for off-target drug effects. Supporting the validity of our screening strategy, most of the anti-inflammatory drug hits were known antibiotics or anti-inflammatory agents. Novel hits included cholecystokinin (CCK) and dopamine receptor agonists. Using a pharmacological approach, we show that while CCK and dopamine receptor agonists alleviate enterocolitis-associated inflammation, receptor antagonists exacerbate inflammation in zebrafish. This work highlights the utility of small molecule screening in zebrafish enterocolitis models as a tool to identify novel bioactive molecules capable of modulating acute inflammation.

Indexed as

High-Throughput Screening AssaysAnimalsAnimals, Genetically ModifiedAnti-Inflammatory AgentsColitis, UlcerativeCrohn DiseaseDextran SulfateDisease Models, AnimalDopamine AgonistsDysbiosisEmbryo, NonmammalianGene ExpressionHumansImmunologic FactorsIntestinesNeutrophilsAnti-Inflammatory AgentsDextran SulfateDopamine AgonistsImmunologic FactorsReceptors, CholecystokininReceptors, DopamineSmall Molecule LibrariesTrinitrobenzenesulfonic Acidchemical screencolitisinflammationinflammatory bowel diseaseneuro-immune

Identifiers

PMID27885812
PMCPMC5296212
OpenAlexW2549182855

What OpenQuestion holds

Textmetadata
LicenceTDM
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.