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Distinct Roles of Dietary Fat and Sugar in the Development of Obesity, Insulin Resistance, Atherosclerosis and Cardiac Dysfunction in LDL Receptor Knockout Mice

2018· article· en· W3175901441 on OpenAlexaff
Laís R. Perazza, Noëmie Daniel, Marie Julie Dubois, Geneviève Pilon, Patricia Mitchelle, Khaï Le Quang, Dominic Lachance, Éric Plante, Thibaut Varin, Rihab Bouchareb, Patrick Mathieu, Yves Pouliot, Sylvie F. Gauthier, Denis Roy, Claude Asselin, Mylène Blais, Martin Lessard, André Marette

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsUniversité de SherbrookeUniversité Laval
Fundersnot available
KeywordsInternal medicineEndocrinologyInsulin resistanceObesityMetabolic syndromeMedicineFatty liverLDL receptorTriglycerideKnockout mouseCholesterolLipoproteinBiologyDiseaseReceptor

Abstract

fetched live from OpenAlex

The increased consumption of high caloric foods has been associated with the obesity epidemic and a higher incidence of cardiometabolic disease, but the specific role of dietary fat and sugar remains unclear. There is growing evidence that high intake of added sugar contributes to cardiovascular disease (CVD) but whether this is independent from high fat content in the diet remains to be established. To this end, our objective was to determine the impact of high sucrose intake on the features of metabolic syndrome and CVD in a mouse model of atherosclerosis. We used atherosclerosis prone LDLr −/− ApoB 100/100 (LRKOB100) mouse fed either a low‐fat/high‐sucrose (LFHS) or a high‐fat/low‐sucrose (HFLS) diet supplemented with 0.2% cholesterol for 24 weeks. Body weight gain and whole‐body fat mass were greater in HFLS‐fed vs LFHS‐fed mice. HFLS feeding promoted higher liver triglyceride (TG) deposition and plasma hypercholesterolemia when compared to LFHS feeding. HFLS‐fed animals were more insulin resistant than LFHS as revealed by a higher HOMA‐IR index. Unexpectedly, while LFHS‐fed mice were less prone to metabolic impairments, they had significant atherosclerosis development as revealed by extensive aortic plaque formation in comparison to HFLS‐fed mice. Consistent with atherosclerotic plaque formation, echocardiography further suggested that LFHS‐fed LRKOB100 mice developed left ventricle eccentric hypertrophy (LVEH) after only 12 weeks of feeding as compared to HFLS‐fed mice. Determination of the inflammatory status by multiplex analysis revealed that HFLS‐fed mice had elevated hepatic IFN‐γ, circulating MCP‐1 and PAI‐1. Conversely, LFHS‐related atherosclerosis was linked with increased hepatic levels of IL‐1β, IL‐6, RANTES and TNF‐α. In addition to hepatic inflammation, LFHS fed animals showed higher amount of TNF‐α and IFN‐γ in visceral adipose tissue, consistent with activation of metabolic inflammation. Our results indicate that dietary sugar and fat have distinct roles in the development of cardiometabolic diseases in LRKOB100 mice. While high fat intake promotes obesity and metabolic alterations, high sugar intake promotes atherosclerosis and cardiac dysfunction, with a major effect on the hepatic inflammatory profile. Further investigations are needed to unravel the underlying mechanisms by which high sugar intake promotes the atherosclerotic process. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.247
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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