Evidence map›Paper›PMID 28542719›Full record

ArticleBritish journal of pharmacology2018

Ibuprofen and diclofenac treatments reduce proliferation of pancreatic acinar cells upon inflammatory injury and mitogenic stimulation.

Marta Bombardo, Ermanno Malagola, Rong Chen, Alina Rudnicka, Rolf Graf, Sabrina Sonda

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  16. Synthesis and preliminary assessment of the anticancer and Wnt/β-catenin inhibitory activity of small amide libraries of fenamates and profens.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents
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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

6 authors at 3 institutions in 2 countries.

Marta BombardoSwiss Hepato-Pancreato-Biliary Center, Department of Visceral and Transplantation Surgery, University Hospital of Zurich, Zurich, Switzerland.
Ermanno MalagolaSwiss Hepato-Pancreato-Biliary Center, Department of Visceral and Transplantation Surgery, University Hospital of Zurich, Zurich, Switzerland.
Rong ChenSwiss Hepato-Pancreato-Biliary Center, Department of Visceral and Transplantation Surgery, University Hospital of Zurich, Zurich, Switzerland.
Alina RudnickaSwiss Hepato-Pancreato-Biliary Center, Department of Visceral and Transplantation Surgery, University Hospital of Zurich, Zurich, Switzerland.
Rolf GrafSwiss Hepato-Pancreato-Biliary Center, Department of Visceral and Transplantation Surgery, University Hospital of Zurich, Zurich, Switzerland.
Sabrina SondaSwiss Hepato-Pancreato-Biliary Center, Department of Visceral and Transplantation Surgery, University Hospital of Zurich, Zurich, Switzerland.ORCID 0000-0001-8152-3425
University Hospital of Zurich · CHUniversity of Tasmania · AUUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeNonsteroidal anti-inflammatory drugs (NSAIDs) are administered to manage the pain typically found in patients suffering from pancreatitis. NSAIDs also display anti-proliferative activity against cancer cells; however, their effects on normal, untransformed cells are poorly understood. Here, we evaluated whether NSAIDs inhibit the proliferation of pancreatic acinar cells during the development of acute pancreatitis. EXPERIMENTAL APPROACH: The NSAIDs ibuprofen and diclofenac were administered to C57BL/6 mice after induction of pancreatitis with serial injections of cerulein. In addition, ibuprofen was administered concomitantly with 3,5,3-L-tri-iodothyronine (T3), which induces acinar cell proliferation in the absence of tissue inflammation. The development of pancreatic inflammation, acinar de-differentiation into metaplastic lesions and acinar proliferation were quantified by histochemical, biochemical and RT-PCR approaches. KEY

resultsTherapeutic ibuprofen treatment selectively reduced pancreatic infiltration of activated macrophages in vivo, and M1 macrophage polarization and pro-inflammatory cytokine expression both in vivo and in vitro. Reduced macrophage activation was accompanied by reduced acinar de-differentiation into acinar-to-ductal metaplasia. Acinar proliferation was significantly impaired in the presence of ibuprofen and diclofenac, as demonstrated at both the level of proliferation markers and expression of cell cycle regulators. Ibuprofen also reduced acinar cell proliferation induced by mitogenic stimulation with T3, a treatment that does not elicit pancreatic inflammation. CONCLUSIONS AND IMPLICATIONS: Our study provides evidence that the NSAIDs ibuprofen and diclofenac inhibit pancreatic acinar cell division. This suggests that prolonged treatment with these NSAIDs may negatively affect the regeneration of the pancreas and further studies are needed to confirm these findings in a clinical setting. LINKED ARTICLES: This article is part of a themed section on Inventing New Therapies Without Reinventing the Wheel: The Power of Drug Repurposing. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v175.2/issuetoc.

Indexed as

Acinar CellsAnimalsCell DifferentiationCell ProliferationCeruletideCytokinesDiclofenacIbuprofenInflammationMaleMiceMitogensNeutrophil InfiltrationPancreasPancreatitisTriiodothyronineCeruletideCytokinesDiclofenacIbuprofenMitogensTriiodothyronine

Identifiers

PMID28542719
PMCPMC5758389
OpenAlexW2617234989

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.