Multi-tissue metabolomic signatures of five longevity interventions converge on ergothioneine and lipid remodeling in male UM-HET3 mice

The pace of aging can be delayed by mutations, dietary manipulations, and drugs, yet the metabolic mechanisms underlying longevity interventions remain poorly understood. Here we present a multi-tissue metabolomic analysis of male UM-HET3 mice treated from 4 to 12 months of age with five validated longevity interventions: rapamycin, acarbose, 17α-estradiol, canagliflozin, or caloric restriction. Using a feature-stabilized XGBoost pipeline applied to seven tissues, we show that metabolomic profiles can identify treated mice as likely recipients of a lifespan-extending intervention well before survival differences emerge. A leave-one-intervention-out procedure confirmed that models trained on any four interventions successfully classified mice from a fifth, unseen intervention, implying shared metabolic alterations across mechanistically distinct treatments. The most influential metabolites - defined as the minimum set explaining 50% of cumulative model gain - differed substantially across tissues. Only ergothioneine, a dietary antioxidant, ranked highly in more than two tissues: it was elevated by all five interventions in plasma and brain, and by four of five in muscle. Enrichment analyses further identified coordinated remodeling of lipid classes in plasma, perigonadal fat, and kidney. These findings reveal tissue-specific metabolic reprogramming shared across mechanistically distinct longevity interventions and, pending validation against interventions that do not extend lifespan, suggest a path toward metabolomic screening of candidate anti-aging drugs.

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Journal
Frontiers in Aging
Published
2026-11-06
DOI
https://doi.org/10.3389/fragi.2026.1972744
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
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article

Multi-tissue metabolomic signatures of five longevity interventions converge on ergothioneine and lipid remodeling in male UM-HET3 mice

Sara Greenfield, Sriram Chandrasekaran, Noa Rappaport, Richard A. Miller et al.
3 links
Frontiers in Aging
Genetics, Aging, and Longevity in Model Organisms
article

Multi-tissue metabolomic signatures of five longevity interventions converge on ergothioneine and lipid remodeling in male UM-HET3 mice

Sara Greenfield, Sriram Chandrasekaran, Noa Rappaport, Richard A. Miller, Bretton Badenoch, Oliver Fiehn
article en

Abstract

The pace of aging can be delayed by mutations, dietary manipulations, and drugs, yet the metabolic mechanisms underlying longevity interventions remain poorly understood. Here we present a multi-tissue metabolomic analysis of male UM-HET3 mice treated from 4 to 12 months of age with five validated longevity interventions: rapamycin, acarbose, 17α-estradiol, canagliflozin, or caloric restriction. Using a feature-stabilized XGBoost pipeline applied to seven tissues, we show that metabolomic profiles can identify treated mice as likely recipients of a lifespan-extending intervention well before survival differences emerge. A leave-one-intervention-out procedure confirmed that models trained on any four interventions successfully classified mice from a fifth, unseen intervention, implying shared metabolic alterations across mechanistically distinct treatments. The most influential metabolites - defined as the minimum set explaining 50% of cumulative model gain - differed substantially across tissues. Only ergothioneine, a dietary antioxidant, ranked highly in more than two tissues: it was elevated by all five interventions in plasma and brain, and by four of five in muscle. Enrichment analyses further identified coordinated remodeling of lipid classes in plasma, perigonadal fat, and kidney. These findings reveal tissue-specific metabolic reprogramming shared across mechanistically distinct longevity interventions and, pending validation against interventions that do not extend lifespan, suggest a path toward metabolomic screening of candidate anti-aging drugs.

Frontiers in AgingVol. 7
Buck Institute for Research on Aging (US), University of Illinois Urbana-Champaign (US), University of Michigan (US), University of California System (US), Institute for Systems Biology (US), University of California, Davis (US)
National Institutes of Health, National Institute on Aging, National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 64%
Genetics, Aging, and Longevity in Model Organisms
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