A systemic approach to explore the flexibility of energy stores at the cellular scale: Examples from muscle cells

Taghipoor, Masoomeh; Milgen, Jaap van; Gondret, Florence

doi:10.1016/j.jtbi.2016.06.014

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Notably, these observations corroborate knowledge that competition between fatty acids and glucose occurs at the level of the pyruvate dehydrogenase complex ( 314 ). Additionally, maximum glycogen accumulation and homeostatic energy demand were found among the most important parameters regulating muscle cell metabolism ( 315 ), which supports previous findings that improving glycogen synthesis strongly influences exercise-induced skeletal muscle insulin sensitivity ( 227 ). Collectively, these advances enable us to understand how biochemical networks behave under different conditions and help us identify important actors that can be targeted to eliminate the undesired effects of environmental or inherent factors ( 284 ).…”

Section: Future Perspectivessupporting

confidence: 87%

Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease

et al. 2018

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The ability to efficiently adapt metabolism by substrate sensing, trafficking, storage, and utilization, dependent on availability and requirement, is known as metabolic flexibility. In this review, we discuss the breadth and depth of metabolic flexibility and its impact on health and disease. Metabolic flexibility is essential to maintain energy homeostasis in times of either caloric excess or caloric restriction, and in times of either low or high energy demand, such as during exercise. The liver, adipose tissue, and muscle govern systemic metabolic flexibility and manage nutrient sensing, uptake, transport, storage, and expenditure by communication via endocrine cues. At a molecular level, metabolic flexibility relies on the configuration of metabolic pathways, which are regulated by key metabolic enzymes and transcription factors, many of which interact closely with the mitochondria. Disrupted metabolic flexibility, or metabolic inflexibility, however, is associated with many pathological conditions including metabolic syndrome, type 2 diabetes mellitus, and cancer. Multiple factors such as dietary composition and feeding frequency, exercise training, and use of pharmacological compounds, influence metabolic flexibility and will be discussed here. Last, we outline important advances in metabolic flexibility research and discuss medical horizons and translational aspects.

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Section: Future Perspectivessupporting

confidence: 87%

Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease

et al. 2018

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“…Nous avons développé un modèle dynamique visant à intégrer les connaissances stoechiométriques et les régula-tions sur les voies biochimiques cellulaires, pour comprendre la plasticité des réserves énergétiques chez l'animal en croissance, et en particulier les relations et les équilibres complexes entre stocks de glycogène et de lipides au sein d'une cellule musculaire (Taghipoor et al 2016). Dans ce but, un système d'équations différentielles ordinaires de production et de consommation de nutriments a été utilisé afin de représenter les 212 / M. TAGHIPOOR, S. LEMOSQUET, J.…”

Section: Ds -= F (P S T) = V Syn -V Cons Dtunclassified

Modélisation de la flexibilité métabolique : vers une meilleure compréhension des capacités adaptatives de l’animal

et al. 2019

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Une production durable nécessite de disposer d’animaux capables de s’adapter à une diversité croissante de contraintes et perturbations environnementales pour maintenir leurs performances de production. La flexibilité métabolique est un des leviers importants pour la compréhension de l’adaptation individuelle aux perturbations externes. Les éléments du métabolisme sont organisés en un réseau biologique vaste et complexe, recouvrant différentes échelles d’organisations spatiales et temporelles. Cet article présent trois formalismes de modélisation permettant de décrire ce réseau et y associe trois exemples illustratifs du comportement de ce réseau face à des perturbations telles que rencontrées en production animale. Ces formalismes dépendent de la taille du (sous)-réseau que l’on souhaite considérer et du type de prédictions souhaitées (qualitatives, quantitatives) : i) la modélisation structurelle qui se base sur l’étude des propriétés topologiques d’un réseau de grande taille, ii) la modélisation stœchiométrique qui permet d’analyser les flux métaboliques dans un état stationnaire et iii) la modélisation dynamique qui permet d’observer l’évolution des acteurs d’un réseau biologique dans le temps.

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PhenoBR: a model to phenotype body condition dynamics in meat sheep

Macé

Gonzalez-Garcia

Kövér

et al. 2023

animal

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A systemic approach to explore the flexibility of energy stores at the cellular scale: Examples from muscle cells

Cited by 3 publications

References 35 publications

Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease

Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease

Modélisation de la flexibilité métabolique : vers une meilleure compréhension des capacités adaptatives de l’animal

PhenoBR: a model to phenotype body condition dynamics in meat sheep

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