Evidence map›Paper›PMID 26291841›Full record

ArticleArquivos brasileiros de cardiologia2015

High-fat Diet Promotes Cardiac Remodeling in an Experimental Model of Obesity.

Fernando Martins, Dijon Henrique Salomé Campos, Luana Urbano Pagan, Paula Felippe Martinez, Katashi Okoshi, Marina Politi Okoshi, Carlos Roberto Padovani, Albert Schiaveto de Souza, Antonio Carlos Cicogna, Silvio Assis de Oliveira-Junior

Open access · diamondAbstract readEvaluation Study
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  6. Article
  7. A Review of the Roles and Limitations of Noninvasive Imaging Methods for Investigating Cardiovascular Disease in Individuals with Obesity.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Cardioprotective Effects of Resistance Training on Obesity.Arquivos brasileiros de cardiologia · 2019
    Article
  17. Article
  18. Review
  19. Article
  20. Challenges of Translational Science.Arquivos brasileiros de cardiologia · 2017
    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

10 authors at 2 institutions in 1 country.

Fernando MartinsPrograma de Pós-graduação em Saúde e Desenvolvimento na Região Centro-Oeste, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil.
Dijon Henrique Salomé CamposFaculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Luana Urbano PaganFaculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Paula Felippe MartinezPrograma de Pós-graduação em Saúde e Desenvolvimento na Região Centro-Oeste, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil.
Katashi OkoshiFaculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Marina Politi OkoshiFaculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Carlos Roberto PadovaniInstituto de Biociências de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Albert Schiaveto de SouzaPrograma de Pós-graduação em Saúde e Desenvolvimento na Região Centro-Oeste, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil.
Antonio Carlos CicognaFaculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Silvio Assis de Oliveira-JuniorPrograma de Pós-graduação em Saúde e Desenvolvimento na Região Centro-Oeste, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil.
Universidade Estadual Paulista (Unesp) · BRUniversidade Federal de Mato Grosso do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough nutritional, metabolic and cardiovascular abnormalities are commonly seen in experimental studies of obesity, it is uncertain whether these effects result from the treatment or from body adiposity.

objectiveTo evaluate the influence of treatment and body composition on metabolic and cardiovascular aspects in rats receiving high saturated fat diet.

methodsSixteen Wistar rats were used, distributed into two groups, the control (C) group, treated with isocaloric diet (2.93 kcal/g) and an obese (OB) group, treated with high-fat diet (3.64 kcal/g). The study period was 20 weeks. Analyses of nutritional behavior, body composition, glycemia, cholesterolemia, lipemia, systolic arterial pressure, echocardiography, and cardiac histology were performed.

resultsHigh-fat diet associates with manifestations of obesity, accompanied by changes in glycemia, cardiomyocyte hypertrophy, and myocardial interstitial fibrosis. After adjusting for adiposity, the metabolic effects were normalized, whereas differences in morphometric changes between groups were maintained.

conclusionIt was concluded that adiposity body composition has a stronger association with metabolic disturbances in obese rodents, whereas the high-fat dietary intervention is found to be more related to cardiac morphological changes in experimental models of diet-induced obesity.

Indexed as

Diet, High-FatDisease Models, AnimalAdipose TissueAnimalsArterial PressureBlood GlucoseBody CompositionBody WeightCholesterolDietary FatsEchocardiographyEnergy IntakeHyperglycemiaMaleObesityRats, WistarBlood GlucoseCholesterolDietary Fats

Identifiers

PMID26291841
PMCPMC4651406
OpenAlexW2172815765

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.