Evidence map›Paper›PMID 31141900›Full record

ArticleNutrients2019

Evaluating the Impact of Different Hypercaloric Diets on Weight Gain, Insulin Resistance, Glucose Intolerance, and its Comorbidities in Rats.

Bernardete F Melo, Joana F Sacramento, Maria J Ribeiro, Claudia S Prego, Miguel C Correia, Joana C Coelho, Joao P Cunha-Guimaraes, Tiago Rodrigues, Ines B Martins, Maria P Guarino and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  16. AFrontiers in endocrinology · 2020
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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

13 authors at 4 institutions in 1 country.

Bernardete F MeloCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. Bernardete.melo@nms.unl.pt.
Joana F SacramentoCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. joana.sacramento@nms.unl.pt.
Maria J RibeiroCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. mj.rfribeiro@gmail.com.
Claudia S PregoCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. claudia.prego@nms.unl.pt.
Miguel C CorreiaCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. mc.correia@campus.fct.unl.pt.
Joana C CoelhoCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. joana.indias@gmail.com.
Joao P Cunha-GuimaraesCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. jp.guimaraes@campus.fct.unl.pt.
Tiago RodriguesInstituto de Investigação Clínica e Biomédica de Coimbra (iCBR), Faculdade de Medicina de Coimbra, 3000-548 Coimbra, Portugal. tiagodarodrigues@gmail.com.
Ines B MartinsCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. iib.martins@campus.fct.unl.pt.
Maria P GuarinoCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. maria.guarino@ioleiria.pt.
Raquel M SeiçaInstituto de Investigação Clínica e Biomédica de Coimbra (iCBR), Faculdade de Medicina de Coimbra, 3000-548 Coimbra, Portugal. rmfseica@gmail.com.
Paulo MatafomeInstituto de Investigação Clínica e Biomédica de Coimbra (iCBR), Faculdade de Medicina de Coimbra, 3000-548 Coimbra, Portugal. paulomatafome@gmail.com.
Silvia V CondeCEDOC, NOVA Medical School, Faculdade de Ciências Médicas, 1150-082 Lisboa, Portugal. silvia.conde@nms.unl.pt.
Universidade Nova de Lisboa · PTUniversity of Coimbra · PTInstituto Politécnico de Leiria · PTPolytechnic Institute of Coimbra · PT

Funding

Fundação para a Ciência e a Tecnologia EXPL/NEU-SCC/2183/2013Fundação para a Ciência e a Tecnologia PD/BD/105890/2014 ; PD/BD/128336/2017Fundação para a Ciência e a Tecnologia Pest-C/SAU/UI3282/2011Galvani Bioelectronics n/a
6 · The paper itself

Abstract

Animal experimentation has a long history in the study of metabolic syndrome-related disorders. However, no consensus exists on the best models to study these syndromes. Knowing that different diets can precipitate different metabolic disease phenotypes, herein we characterized several hypercaloric rat models of obesity and type 2 diabetes, comparing each with a genetic model, with the aim of identifying the most appropriate model of metabolic disease. The effect of hypercaloric diets (high fat (HF), high sucrose (HSu), high fat plus high sucrose (HFHSu) and high fat plus streptozotocin (HF+STZ) during different exposure times (HF 3 weeks, HF 19 weeks, HSu 4 weeks, HSu 16 weeks, HFHSu 25 weeks, HF3 weeks + STZ) were compared with the Zucker fatty rat. Each model was evaluated for weight gain, fat mass, fasting plasma glucose, insulin and C-peptide, insulin sensitivity, glucose tolerance, lipid profile and liver lipid deposition, blood pressure, and autonomic nervous system function. All animal models presented with insulin resistance and dyslipidemia except the HF+STZ and HSu 4 weeks, which argues against the use of these models as metabolic syndrome models. Of the remaining animal models, a higher weight gain was exhibited by the Zucker fatty rat and wild type rats submitted to a HF diet for 19 weeks. We conclude that the latter model presents a phenotype most consistent with that observed in humans with metabolic disease, exhibiting the majority of the phenotypic features and comorbidities associated with type 2 diabetes in humans.

Indexed as

Dietary SucroseDiet, High-FatInsulin ResistanceWeight GainAdipose TissueAnimalsBiomarkersBlood GlucoseBlood PressureDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2DyslipidemiasEnergy IntakeGlucose IntoleranceHypertensionInsulinBiomarkersBlood GlucoseDietary SucroseInsulinLipidsadipose tissueanimal modelsglucose tolerancehypertensioninsulin sensitivitymetabolic syndromeobesitytype 2 diabetesweight gain

Identifiers

PMID31141900
PMCPMC6627141
OpenAlexW2947181433

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.