Evidence map›Paper›PMID 38137440›Full record

ArticleBiomedicines2023

Blockade of Inflammatory Markers Attenuates Cardiac Remodeling and Fibrosis in Rats with Supravalvular Aortic Stenosis.

Francine Duchatsch, Danyelle S Miotto, Lidieli P Tardelli, Thiago J Dionísio, Dijon S Campos, Carlos F Santos, Katashi Okoshi, Sandra L Amaral

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 66% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Francine DuchatschJoint Graduate Program in Physiological Sciences, PIPGCF UFSCar/UNESP, Rodovia Washington Luiz, km 235 Monjolinho, 676, São Carlos 13565-905, SP, Brazil.
Danyelle S MiottoJoint Graduate Program in Physiological Sciences, PIPGCF UFSCar/UNESP, Rodovia Washington Luiz, km 235 Monjolinho, 676, São Carlos 13565-905, SP, Brazil.
Lidieli P TardelliJoint Graduate Program in Physiological Sciences, PIPGCF UFSCar/UNESP, Rodovia Washington Luiz, km 235 Monjolinho, 676, São Carlos 13565-905, SP, Brazil.
Thiago J DionísioDepartment of Biological Sciences, Bauru School of Dentistry, USP-University of São Paulo, Alameda Octávio Pinheiro Brisolla, 9-75, Bauru 17012-901, SP, Brazil.ORCID 0000-0002-1655-4425
Dijon S CamposDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Av. Prof. Mário Rubens Guimarães Montenegro, s/n, Botucatu 18618-687, SP, Brazil.
Carlos F SantosDepartment of Biological Sciences, Bauru School of Dentistry, USP-University of São Paulo, Alameda Octávio Pinheiro Brisolla, 9-75, Bauru 17012-901, SP, Brazil.ORCID 0000-0002-0405-3500
Katashi OkoshiDepartment of Internal Medicine, Botucatu Medical School, São Paulo State University (UNESP), Av. Prof. Mário Rubens Guimarães Montenegro, s/n, Botucatu 18618-687, SP, Brazil.ORCID 0000-0001-8980-8839
Sandra L AmaralJoint Graduate Program in Physiological Sciences, PIPGCF UFSCar/UNESP, Rodovia Washington Luiz, km 235 Monjolinho, 676, São Carlos 13565-905, SP, Brazil.ORCID 0000-0001-9473-3739
Universidade Federal de São Carlos · BRUniversidade de São Paulo · BRUniversidade Estadual Paulista (Unesp) · BR

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001Coordenação de Aperfeicoamento de Pessoal de Nível Superior 88882.426901/2019-01Coordenação de Aperfeicoamento de Pessoal de Nível Superior 88887.634301/2021-00Coordenação de Aperfeicoamento de Pessoal de Nível Superior 88887.634304/2021-00National Council for Scientific and Technological Development 303986/2021-2National Council for Scientific and Technological Development 307280/2022-5National Council for Scientific and Technological Development 311071/2020-1São Paulo Research Foundation 2015/03965-2São Paulo Research Foundation 2018/00567-4São Paulo Research Foundation 2019/25603-6
6 · The paper itself

Abstract

Since cardiac inflammation has been considered an important mechanism involved in heart failure, an anti-inflammatory treatment could control cardiac inflammation and mitigate the worsening of cardiac remodeling. This study evaluated the effects of dexamethasone (DEX) and ramipril treatment on inflammation and cardiac fibrosis in an experimental model of heart failure induced by supravalvular aortic stenosis. Wistar rats (21d) were submitted to an aortic stenosis (AS) protocol. After 21 weeks, an echocardiogram and a maximal exercise test were performed, and after 24 weeks, rats were treated with DEX, ramipril or saline for 14d. The left ventricle (LV) was removed for histological and inflammatory marker analyses. The AS group showed exercise intolerance (-32% vs. Sham), higher relative wall thickness (+63%), collagen deposition and capillary rarefaction, followed by cardiac disfunction. Both treatments were effective in reducing cardiac inflammation, but only DEX attenuated the increased relative wall thickness (-17%) and only ramipril reduced LV fibrosis. In conclusion, both DEX and ramipril decreased cardiac inflammatory markers, which probably contributed to the reduced cardiac fibrosis and relative wall thickness; however, treated AS rats did not show any improvement in cardiac function. Despite the complex pharmacological treatment of heart failure, treatment with an anti-inflammatory could delay the patient's poor prognosis.

Indexed as

cardiac remodelingechocardiogramglucocorticoidsinflammatory cytokinesleft ventricle

Identifiers

PMID38137440
PMCPMC10740498
OpenAlexW4389340211

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.