[article] 
inLabAnimal > 10/2020 (Octobre 2020) . - p. 4

Titre :	A systems biology approach to understand the effects of diet on lifespan
Type de document :	texte imprimé
Auteurs :	Alexandra Le Bras
Année de publication :	2020
Article en page(s) :	p. 4
Note générale :	DOI : https://doi.org/10.1038/s41684-020-0632-z
Langues :	Anglais (eng)
Résumé :	Dietary restriction (DR), which refers to a reduction in food intake without malnutrition, effectively prolongs lifespan in various species. However, several studies in rodents and Drosophila have shown that this effect is not universal and DR response can vary between strains and genotypes. To identify the mechanisms underlying this variation, a team of investigators led by Daniel Promislow from University of Washington exposed 178 inbred Drosophila melanogaster lines to either a DR or ad libitum (AL) diet. By comparing lifespan response to DR in the different strains and integrating genomic and metabolomic data, the team was able to identify several gene–metabolite networks involved in DR response variation.
En ligne :	https://www.nature.com/articles/s41684-020-0632-z
Permalink :	./index.php?lvl=notice_display&id=90500

[article] A systems biology approach to understand the effects of diet on lifespan [texte imprimé] / Alexandra Le Bras . - 2020 . - p. 4.
DOI : https://doi.org/10.1038/s41684-020-0632-z
Langues : Anglais (eng)
in LabAnimal > 10/2020 (Octobre 2020) . - p. 4

Résumé :	Dietary restriction (DR), which refers to a reduction in food intake without malnutrition, effectively prolongs lifespan in various species. However, several studies in rodents and Drosophila have shown that this effect is not universal and DR response can vary between strains and genotypes. To identify the mechanisms underlying this variation, a team of investigators led by Daniel Promislow from University of Washington exposed 178 inbred Drosophila melanogaster lines to either a DR or ad libitum (AL) diet. By comparing lifespan response to DR in the different strains and integrating genomic and metabolomic data, the team was able to identify several gene–metabolite networks involved in DR response variation.
En ligne :	https://www.nature.com/articles/s41684-020-0632-z
Permalink :	./index.php?lvl=notice_display&id=90500