Systems biology approaches identify metabolic signatures of dietary lifespan and healthspan across species.
Abstract
Dietary restriction (DR) is a potent method to enhance lifespan and healthspan, but individual responses are influenced by genetic variations. Understanding how metabolism-related genetic differences impact longevity and healthspan are unclear. To investigate this, we used metabolites as markers to reveal how different genotypes respond to diet to influence longevity and healthspan traits. We analyzed data from Drosophila Genetic Reference Panel (DGRP) strains raised under AL and DR conditions, combining metabolomic, phenotypic, and genome-wide information. We employed two computational and complementary methods across species-random forest modeling within the DGRP as our primary analysis and Mendelian randomization in human cohorts as a secondary analysis. We pinpointed key traits with cross-species relevance as well as underlying heterogeneity and pleiotropy that influence lifespan and healthspan. Notably, orotate was linked to parental age at death in humans and blocked the DR lifespan extension in flies, while threonine supplementation extended lifespan, in a strain- and sex-specific manner. Thus, utilizing natural genetic variation data from flies and humans, we employed a systems biology approach to elucidate potential therapeutic pathways and metabolomic targets for diet-dependent changes in lifespan and healthspan.
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Research summary
The paper investigates the metabolic signatures associated with dietary restriction and their influence on lifespan and healthspan across species, which is directly relevant to longevity research. It explores the genetic variations that affect individual responses to dietary interventions, providing insights into potential therapeutic pathways for enhancing lifespan. The findings contribute to the understanding of the biological mechanisms underlying aging and dietary impacts, making it an important study in the field, though not groundbreaking enough to warrant a higher impact score.
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