Evidence map›Paper›PMID 25238161›Full record

ArticlePloS one2014

No beneficial effect of general and specific anti-inflammatory therapies on aortic dilatation in Marfan mice.

Romy Franken, Stijntje Hibender, Alexander W den Hartog, Teodora Radonic, Carlie J M de Vries, Aeilko H Zwinderman, Maarten Groenink, Barbara J M Mulder, Vivian de Waard

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. TGF-β Signaling in Control of Cardiovascular Function.Cold Spring Harbor perspectives in biology · 2018
    Review
  13. Resveratrol Inhibits Aortic Root Dilatation in the Fbn1C1039G/+ Marfan Mouse Model.Arteriosclerosis, thrombosis, and vascular biology · 2016
    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

9 authors at 3 institutions in 1 country.

Romy FrankenDepartment of Cardiology, Academic Medical Center, Amsterdam, The Netherlands; Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands.
Stijntje HibenderDepartment of Medical Biochemistry, Academic Medical Center, Amsterdam, The Netherlands.
Alexander W den HartogDepartment of Cardiology, Academic Medical Center, Amsterdam, The Netherlands; Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands.
Teodora RadonicDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Carlie J M de VriesDepartment of Medical Biochemistry, Academic Medical Center, Amsterdam, The Netherlands.
Aeilko H ZwindermanDepartment of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, The Netherlands.
Maarten GroeninkDepartment of Cardiology, Academic Medical Center, Amsterdam, The Netherlands; Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands; Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
Barbara J M MulderDepartment of Cardiology, Academic Medical Center, Amsterdam, The Netherlands; Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands.
Vivian de WaardDepartment of Medical Biochemistry, Academic Medical Center, Amsterdam, The Netherlands.
Academic Medical Center · NLNetherlands Heart Institute · NLAmsterdam UMC Location VUmc · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPatients with Marfan syndrome have an increased risk of life-threatening aortic complications, mostly preceded by aortic dilatation. In the FBN1(C1039G/+) Marfan mouse model, losartan decreases aortic root dilatation. We recently confirmed this beneficial effect of losartan in adult patients with Marfan syndrome. The straightforward translation of this mouse model to man is reassuring to test novel treatment strategies. A number of studies have shown signs of inflammation in aortic tissue of Marfan patients. This study examined the efficacy of anti-inflammatory therapies in attenuating aortic root dilation in Marfan syndrome and compared effects to the main preventative agent, losartan. METHODS AND

resultsTo inhibit inflammation in FBN1(C1039G/+) Marfan mice, we treated the mice with losartan (angiotensin II receptor type 1 inhibitor), methylprednisolone (corticosteroid) or abatacept (T-cell-specific inhibitor). Treatment was initiated in adult Marfan mice with already existing aortic root dilatation, and applied for eight weeks. Methylprednisolone- or abatacept-treated mice did not reveal a reduction in aortic root dilatation. In this short time frame, losartan was the only treatment that significantly reduced aorta inflammation, transforming growth factor-beta (TGF-β) signaling and aortic root dilatation rate in these adult Marfan mice. Moreover, the methylprednisolone-treated mice had significantly more aortic alcian blue staining as a marker for aortic damage.

conclusionAnti-inflammatory agents do not reduce the aortic dilatation rate in Marfan mice, but possibly increase aortic damage. Currently, the most promising therapeutic drug in Marfan syndrome is losartan, by blocking the angiotensin II receptor type 1 and thereby inhibiting pSmad2 signaling.

Indexed as

AnimalsAnti-Inflammatory AgentsAortaDilatation, PathologicLosartanMarfan SyndromeMiceMice, Inbred C57BLSmad2 ProteinAnti-Inflammatory AgentsLosartanSmad2 ProteinSmad2 protein, mouse

Identifiers

PMID25238161
PMCPMC4169510
OpenAlexW2034102172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.