Neural mechanisms underlying the role of fructose in overfeeding

Payant, Mikayla A.; Chee, Melissa J.

doi:10.1016/j.neubiorev.2021.06.034

Cited by 15 publications

(12 citation statements)

References 182 publications

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“…Other than Rasgrf1, which was up-regulated under CGA, and Noct, which was up-regulated under CGA bioactive impact, the rest of the genes were deregulated under fructose impact. Excess fructose consumption has been related to metabolic syndrome and obesity, and more generally, to the feeding behavior and a hunger-like state in the brain [ 89 ]. In chicory plants, the fructose is present in a low quantity in roots (3–6 mg/g dry matter depending on genotype).…”

Section: Discussionmentioning

confidence: 99%

Chicory: Understanding the Effects and Effectors of This Functional Food

et al. 2022

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Industrial chicory has been the subject of numerous studies, most of which provide clinical observations on its health effects. Whether it is the roasted root, the flour obtained from the roots or the different classes of molecules that enter into the composition of this plant, understanding the molecular mechanisms of action on the human organism remains incomplete. In this study, we were interested in three molecules or classes of molecules present in chicory root: fructose, chlorogenic acids, and sesquiterpene lactones. We conducted experiments on the murine model and performed a nutrigenomic analysis, a metabolic hormone assay and a gut microbiota analysis, associated with in vitro observations for different responses. We have highlighted a large number of effects of all these classes of molecules that suggest a pro-apoptotic activity, an anti-inflammatory, antimicrobial, antioxidant, hypolipidemic and hypoglycemic effect and also an important role in appetite regulation. A significant prebiotic activity was also identified. Fructose seems to be the most involved in these activities, contributing to approximately 83% of recorded responses, but the other classes of tested molecules have shown a specific role for these different effects, with an estimated contribution of 23–24%.

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Section: Discussionmentioning

confidence: 99%

Chicory: Understanding the Effects and Effectors of This Functional Food

et al. 2022

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“…Indeed research on ASR-related behaviors, characteristics, traits and processes has expanded considerably in recent years and there is now a growing set of possibilities for inclusion in research about ASR phenotypes in childhood including: temperament (such as impulsivity and effortful control) ( 90 ), Executive function (such as inhibitory control), genetic susceptibility, reward sensitivity, hedonic responses to food, cognitive function ( 91 ), cognitive control and negative affect ( 92 ), state and/or trait food cue reactivity ( 93 ), brain reward sensitivity to food cues ( 94 ), dietary measures, such as dietary fat or carbohydrates ( 95 , 96 ), fructose consumption ( 97 ), intake of processed food ( 98 ), sensory sensitivity ( 99 ), neuroimaging functional connectivity ( 100 ), metabolomics and analysis of the gut microbiome ( 101 , 102 ), measures of the social facilitation of eating ( 103 ), susceptibility to modeling ( 104 ), effects of portion size cues ( 105 ) and attachment security ( 106 ), behavioral and neural measures of appetitive traits such as through neuroimaging measures ( 107 , 108 ). A helpful broadening of work on ASR phenotypes is also suggested by attention to endophenotypes where genetic predisposition and neural substrates as well as behavioral measures are included ( 107 , 109 – 112 ).…”

Section: Discussionmentioning

confidence: 99%

Conceptualizing and Measuring Appetite Self-Regulation Phenotypes and Trajectories in Childhood: A Review of Person-Centered Strategies

2021

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This review uses person-centered research and data analysis strategies to discuss the conceptualization and measurement of appetite self-regulation (ASR) phenotypes and trajectories in childhood (from infancy to about ages 6 or 7 years). Research that is person-centered provides strategies that increase the possibilities for investigating ASR phenotypes. We first examine the utility of examining underlying phenotypes using latent profile/class analysis drawing on cross-sectional data. The use of trajectory analysis to investigate developmental change is then discussed, with attention to phenotypes using trajectories of individual behaviors as well as phenotypes based on multi-trajectory modeling. Data analysis strategies and measurement approaches from recent examples of these person-centered approaches to the conceptualization and investigation of appetite self-regulation and its development in childhood are examined. Where relevant, examples from older children as well as developmental, clinical and educational psychology are drawn on to discuss when and how person-centered approaches can be used. We argue that there is scope to incorporate recent advances in biological and psychoneurological knowledge about appetite self-regulation as well as fundamental processes in the development of general self-regulation to enhance the examination of phenotypes and their trajectories across childhood (and beyond). The discussion and conclusion suggest directions for future research and highlight the potential of person-centered approaches to progress knowledge about the development of appetite self-regulation in childhood.

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“… 1 It has been reported that high fructose consumption may be responsible for metabolic syndrome (MetS)‐associated disorders, including obesity, type 2 diabetes mellitus (T2DM), non‐alcoholic fatty liver disease (NAFLD), dyslipidemia, insulin resistance, and cardiometabolic disorders. 3 , 4 , 5 Further investigation is needed to better understand the mechanisms of high fructose‐induced metabolic disorders. However, current research on this topic is mainly conducted at the serological level, 6 , 7 , 8 and the research on metabolomics is still limited.…”

Section: Introductionmentioning

confidence: 99%

“…The most frequently used sweeteners include sucrose containing 50% fructose and high‐fructose corn syrup containing up to 55% fructose 1 . It has been reported that high fructose consumption may be responsible for metabolic syndrome (MetS)‐associated disorders, including obesity, type 2 diabetes mellitus (T2DM), non‐alcoholic fatty liver disease (NAFLD), dyslipidemia, insulin resistance, and cardiometabolic disorders 3–5 . Further investigation is needed to better understand the mechanisms of high fructose‐induced metabolic disorders.…”

Section: Introductionmentioning

confidence: 99%

Impact of a long‐term high‐fructose diet on systemic metabolic profiles of mice

Wang

Han

et al. 2022

FASEB BioAdvances

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Evidence is mounting that chronic high‐fructose diets (HFrD) can lead to metabolic abnormalities and cause a variety of diseases. However, the underlying mechanism by which long‐term high fructose intake influencing systemic metabolism remains unclarified. This study, therefore, attempted to investigate the impact of a high‐fructose diet on metabolic profile. Four‐week‐old male C57BL/6 mice were fed with 15% fructose solution as their only source of water for 8 weeks. Afterward, gas chromatography–mass spectrometry (GC–MS) was employed to investigate the comprehensive metabolic profile of serum, muscle, liver, heart, white adipose, brain, and kidney tissues, and multivariate analyses including principal component analysis (PCA) and orthogonal partial least squared‐discriminant analysis (OPLS‐DA) were applied to screen for differential metabolite expression between the HFrD and control groups. Furthermore, the MetaboAnalyst 5.0 ( http://www.metaboanalyst.ca ) and Kyoto Encyclopedia of Genes and Genomes database (KEGG; http://www.kegg.jp ) were employed to portray a detailed metabolic network. This study identified 62 metabolites related to HFrD and 10 disturbed metabolic pathways. The results indicated that high fructose intake mainly influenced amino acid metabolism and biosynthesis (glycine, serine, and threonine metabolism; aspartate, and glutamate metabolism; phenylalanine, tyrosine, and tryptophan biosynthesis, and arginine biosynthesis pathways), glutathione metabolism, sphingolipid metabolism, and glyoxylate and dicarboxylate metabolism in serum, whereas these pathways were suppressed in the brain. Starch and sucrose metabolism in muscle was also disrupted. These results elucidate the effects of long‐term high fructose consumption on the metabolic profiles of various tissues and provide new insight for the identification of potential metabolic biomarkers and pathways disrupted by high fructose.

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Neural mechanisms underlying the role of fructose in overfeeding

Cited by 15 publications

References 182 publications

Chicory: Understanding the Effects and Effectors of This Functional Food

Chicory: Understanding the Effects and Effectors of This Functional Food

Conceptualizing and Measuring Appetite Self-Regulation Phenotypes and Trajectories in Childhood: A Review of Person-Centered Strategies

Impact of a long‐term high‐fructose diet on systemic metabolic profiles of mice

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