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1.
Elife ; 112022 09 07.
Artículo en Inglés | MEDLINE | ID: mdl-36069772

RESUMEN

Dietary lipids (DLs), particularly sterols and fatty acids, are precursors for endogenous lipids that, unusually for macronutrients, shape cellular and organismal function long after ingestion. These functions - cell membrane structure, intracellular signalling, and hormonal activity - vary with the identity of DLs, and scale up to influence health, survival, and reproductive fitness, thereby affecting evolutionary change. Our Ecological Lipidology approach integrates biochemical mechanisms and molecular cell biology into evolution and nutritional ecology. It exposes our need to understand environmental impacts on lipidomes, the lipid specificity of cell functions, and predicts the evolution of lipid-based diet choices. Broad interdisciplinary implications of Ecological Lipidology include food web alterations, species responses to environmental change, as well as sex differences and lifestyle impacts on human nutrition, and opportunities for DL-based therapies.


Asunto(s)
Dieta , Grasas de la Dieta , Ácidos Grasos , Femenino , Cadena Alimentaria , Humanos , Masculino , Transducción de Señal
2.
J Insect Physiol ; 126: 104095, 2020 10.
Artículo en Inglés | MEDLINE | ID: mdl-32783958

RESUMEN

Metabolic research is a challenge because of the variety of data within experimental series and the difficulty of replicating results among scientific groups. The fruit fly, Drosophila melanogaster, is a cost-effective and reliable pioneer model to screen dietary variables for metabolic research. One of the main reasons for problems in this field are differences in food recipes, diet-associated microbial environments and the pharmacokinetic behavior of nutrients across the gut-blood barrier. To prevent such experimental shortcomings, a common strategy is to pool scores of subjects into one sample to create an average statement. However, this approach lacks information about the biological spread and may provoke misleading interpretations. We propose to use the developmental rate of individual Drosophila larvae as a metabolic sensor. To do so, we introduce here a 96-well plate-based assay, which allows screening for multiple variables including food quality, microbial load, and genetic differences. We demonstrate that on a diet that is rich in calories, pupation is sensitive to the variation of dietary lipid compounds and that genotypes considered as wild-types/controls produce different developmental profiles. Our platform is suited for later automation and represents a potent high-throughput screening tool for the pharmacology and food industry. If used systematically, our assay could become a powerful reference tool to compare the quality of used dietary configurations with published benchmark recipes.


Asunto(s)
Bioensayo/métodos , Dieta , Drosophila melanogaster , Nutrientes/metabolismo , Alimentación Animal/microbiología , Animales , Colesterol/análisis , Drosophila melanogaster/crecimiento & desarrollo , Drosophila melanogaster/metabolismo , Industria de Alimentos , Larva/crecimiento & desarrollo , Larva/metabolismo , Metabolismo de los Lípidos , Lípidos/aislamiento & purificación , Modelos Animales
3.
Front Cell Dev Biol ; 7: 206, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-31649929

RESUMEN

A calorie-rich diet is one reason for the continuous spread of metabolic syndromes in western societies. Smart food design is one powerful tool to prevent metabolic stress, and the search for suitable bioactive additives is a continuous task. The nutrient-sensing insulin pathway is an evolutionary conserved mechanism that plays an important role in metabolism, growth and development. Recently, lipid cues capable to stimulate insulin signaling were identified. However, the mechanistic base of their activity remains obscure to date. We show that specific Akt/Protein-kinase B isoforms are responsive to different calorie-rich diets, and potentiate the activity of the cellular insulin cascade. Our data add a new dimension to existing models and position Drosophila as a powerful tool to study the relation between dietary lipid cues and the insulin-induced cellular signal pathway.

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